May 29, 2025; Advanced Storefront Stalking & Data Scraping

Video link: https://youtu.be/IK7Hxch9HrM

Summary

Session Overview 🗓 This session is an informal monthly meetup focused on Advanced Amazon strategies including live sourcing and discussions on various techniques like storefront stocking and data scraping.

Advanced Storefront Stocking 🔍 Advanced storefront stocking using Keepa Product Finder can significantly enhance sourcing efficiency. 🔄 By inputting multiple seller IDs into Keepa, users can streamline storefront stocking processes, leading to increased productivity. 💡 Adapting to Keepa's filters allows users to exclude irrelevant data, increasing the chances of finding viable products.

Data Scraping Techniques 🖥 Data scraping is presented as a method to enhance sourcing capabilities beyond traditional tools like Tactical Arbitrage. 📊 Instant Data Scraper (Chrome extension) and Octoparse (a user-friendly scraping tool) were highlighted as practical options for sourcing relevant product data. 📈 Data scraping can be used to extract product details from various websites for comparison against Amazon’s database, highlighting opportunities for profitable sales.

Actionable Advice 🏷 Load multiple storefronts into Keepa Product Finder for broader sourcing opportunities. 🤖 Consider utilizing data scraping tools to automate data extraction processes and speed up sourcing efforts. 📦 Analyze sourcing data in structured formats like Google Sheets to identify profitable items quickly.

Key Takeaways 🚀 Implementing advanced sourcing methods can lead to increased efficiency and profit potential in an Amazon business. 🔄 Don’t hesitate to experiment with different strategies like data scraping to enhance your sourcing repertoire. 💡 Engage with tech tools (i.e., AI, coding assistance) to automate and streamline routine processes in your Amazon business.

Thought-Provoking Questions ❓ How can integrating multiple data scraping tools improve your current Amazon sourcing strategies? ❓ What would be the impact on your productivity if you automated significant parts of your sourcing process?

Supportive Community 🔗 The importance of community and shared knowledge was emphasized, with suggestions for learning resources and collaboration. 🤝 Encourage ongoing discussions and questions to foster a deeper understanding and improve methods within the group.

Overall, these insights can guide Amazon sellers in refining their sourcing strategies by leveraging tools and community knowledge, aiming for a more efficient and profitable business model.

Timestamped Summary

[00:00-01:45] The session focuses on Amazon sourcing, with the host introducing two main topics: advanced storefront stocking and data scraping. The host shares a recent success story related to storefront stocking, where a team member doubled their productivity using a new method.

[01:45-03:30] The first part discusses advanced storefront stocking using Keepa's Product Finder. The method involves loading multiple storefronts at once, applying desired filters, and filtering through data for better sourcing results. This approach aims to improve efficiency compared to traditional methods.

[03:30-06:05] The host explains how to utilize Keepa's Product Finder, including loading seller IDs and applying filters to narrow down product options. A flexible filtering approach is recommended to maintain potential opportunities while reducing junk results.

[06:05-08:13] The importance of setting appropriate sales rank criteria and minimum FBA price filters is discussed. The speaker mentions that by applying filters smartly, users can condense product lists significantly and improve sourcing time.

[08:13-10:45] Questions and answers begin regarding the filtering process and features of Keepa Product Finder, highlighting the efficiency and benefits of this advanced method of storefront stocking.

[10:45-12:30] Transitioning to data scraping, the host defines data scraping and its significance for sourcing opportunities on Amazon. The advantages of using data scraping alongside other sourcing methods are discussed, emphasizing the flexibility and improved efficiency it provides.

[12:30-15:40] Various tools for data scraping are introduced, including Instant Data Scraper and Scrapey. The host explains the upsides of each tool and their applicability in scraping data from various websites to identify potential product leads.

[15:40-18:20] A detailed demonstration of using Instant Data Scraper on a retail website begins. The easy-to-use interface and quick extraction capabilities are showcased. The process of cleaning and preparing data for Amazon UPC scanning is also briefly described.

[18:20-20:30] The host highlights using other UPC scanners, such as Scan Unlimited, alongside data scraping methods. They discuss the accuracy of UPC matching versus title or image matching methods, recommending the former for better results.

[20:30-24:00] A live demonstration of Scan Unlimited is conducted, showcasing how to set up UPC scanning, analyze potential profits, and filter results based on profit margins. The host navigates through the tool to illustrate its speed and efficiency in finding viable products.

[24:00-26:40] The complexities of UPC searches and missing UPC codes are addressed. The speaker emphasizes the importance of using websites with easily accessible UPCs for optimal results, demonstrating how to navigate challenges in data scraping.

[26:40-30:30] Users are encouraged to combine methods for improved sourcing performance, such as leveraging both scraping and manual searches to maximize product opportunities and refine sourcing strategies.

[30:30-33:15] The host reviews Octopar as a tool for data scraping. A step-by-step guide is provided on how to create workflows for scraping categories, navigate pop-up issues, and extract UPCs from product pages.

[33:15-35:55] Further details about Octopar’s features are shared, including the benefits of using the free plan versus the paid version. The ease of extracting and cleaning data for Amazon lists is reinforced as an effective strategy for maximizing sourcing efficiency.

[35:55-39:45] The final tips encourage consistent practice with these tools for achieving sourcing success. The host reassures participants that while these methods may appear technical at first, they can yield significant results over time with experience. Questions from participants are answered to clarify any remaining uncertainties about the discussed techniques.

Video Transcript

(00:00) We're going to get started because we have a couple faces pop in here and then anybody else that pops in can always pop in afterwards. So, welcome everybody. Uh, this is one of the informal Amazon sessions that we do. If you haven't been to one of these previously, uh, what I like to do is about once a month or so do some form of session focused specifically around Amazon.

(00:23) Whether that's doing like some live sourcing, whether that's discussing different things that are happening in the Amazon world or different sourcing techniques and topics. And today I wanted to specifically talk about two things. Uh one more than more than the other, but I want to cover two separate topics. So I want to cover doing some advanced storefront stocking.

(00:45) And the reason why I want to bring this up is because it is very it's very easy. It's something that I bet a lot of you probably haven't thought of because I haven't thought of it. And I literally the only reason why um I'm aware of it is because one of my VAS recently started doing this method and basically 2x his production for storefront stocking.

(01:09) And so he started talking to us about it because I was very curious about what he was doing because all a sudden just things changed like almost overnight. And so we sat down and we kind of went deep into it. And it's very simplistic, but it's something that I never thought of. And then after that, I want to also talk about data scraping.

(01:28) And so there's a whole intro for data scraping, what it is, what we can do with it. Um, but I want to get into the first topic first. We'll get through this guy, uh, do a quick demo, uh, do any Q&As's that we have around it, and then we'll get into the data scraping portion. So before we get started, we were having some conversations um before um before we started the recording here.

(01:51) Uh anybody here has anybody here at all done any form of data scraping in their personal Amazon business at all? Minus like third party tools that do it for you such as like tactical arbitrage. That might be a no. Danny's typing and that's completely okay. That's good because then that means that a lot of you guys are probably going to be learning a lot today.

(02:18) Cool. Okay. So, the first thing I want to talk about is the advanced storefront stocking. And I say it's advanced because I guess it's just not as intuitive as your standard storefront stocking where say you open up a storefront in something like say seller amp and scroll through a storefront. This would be utilizing Keep a Product Finder, which a lot of us probably already do, but something that I never thought of is loading a ton of stores into keep a product finder at once, applying the filters that we want, and

(02:47) then storefront stocking based on that data that we see there. Okay, so for those that are unaware, this is Keepa product. So you can access it just by logging into Keepa, coming to the data tab, coming to the product finder section. It's automatically included with your Keepa subscription. So, you don't need to pay anything else for it.

(03:06) It's automatically included. And it's a pretty powerful tool if you utilize it the right way. Some people try it and they don't find results right away. They get frustrated and and they give up immediately, which I understand. Uh but like as with like any other sourcing method, it takes some time to adapt to and get adept with in order to be efficient with it.

(03:29) But with the thing that we're discussing today with the storefront stocking, it's actually pretty easy and quick to get started. So, what I have here is I've loaded up down here. I think it was about uh 10 or 11 different storefronts. And so, you can look through multiple storefronts at a time via the keep up product by coming to the seller section and then pasting your seller IDs in here separated by a comma.

(03:58) Okay, so I loaded up I think 10 or 11 sellers. There's some people I I try to ensure it's absolutely nobody that's going to be in the session or in our server. Uh there's a lot of gurus that I loaded up in here because [ __ ] that. But um yeah, this automatically loads all of their products for you in Keep a Product Finder. And then from there, we can apply additional filters to help filter out a lot of additional junk.

(04:22) And then we'll have a much more condensed list of products that we can then begin to manually source through that will most likely have a much higher hit rate versus just blindly opening up uh different storefronts and scrolling through one by one on like seller amp and looking through products one by one because this we're we're condensing a lot of data.

(04:44) we're applying filters to remove a lot of the additional junk and so we're just going to overall have a much higher acceptance rate for the products that we're looking through. Okay. Uh Evan's typing something there. So I'll just wait a minute in case he has a question as we're going. If you want to pop on the mic, Evan, feel free. Oh yeah, I was just going to say it sounds like uh um much more efficient and massively timesaving.

(05:09) It certainly can be. So, like there's there's give and takes though for everything because like with the seller amp um little application that they have when we're doing storefront stocking, they have some nice quality of life things like the keep a chart displaying right next to the products showing what your max price is, showing uh or having quick links to Google things, etc.

(05:30) Where keep a product finder doesn't specifically have that. Uh we're going to discuss a few things like on how we can kind of change that as well. Um but for like base without getting technical we are sacrificing some things some qualities of life but we're also very much so improving our our efficiency and this works very well as well with um bulk storefronts especially storefronts that maybe you haven't sourced previously or even storefronts that you've determined are viable storefronts to stock on a consistent basis just to reload them up and look

(06:06) through everything very very quickly. Okay. So, what I like to do is with when I run with keep a product finder, I like to keep my filters relatively loose. I like to put in broad filters to remove kind of the bulk amount of junk that I can, but I don't go out and apply all kinds of filters for all different kinds of things because I find that we want to filter out a lot of garbage, but we don't want to filter out the stuff that has good potential opportunity.

(06:36) Okay. So, some things that I'll almost always do is I will typically apply some form of sales rank filter. You don't necessarily have to do this because we have the confirmed sales or the estimated sales filter later on. I typically like to do this just to start weeding down some products. And so, we can see right now with the 11 storefronts that I've loaded in without any filters, we've loaded up about 1,800 products total.

(07:01) Okay, so that's not a ton when it comes to filtering through data for Keep a Product Finder, but we can get that a lot lower and we can get rid of a lot of additional junk. So, I'm going to We are sourcing in Canada and you can go about this where you're sourcing like everything as um as a whole combined or you can do it separately where we want to focus in on separate categories.

(07:24) I think you can go about it either way. I typically like to do everything all at once. Uh, so I typically have a bit of a more restrictive sales rank criteria versus going into specific categories because like if I was looking at like say the automotive category for example, I might put a sales rank filter of like 100,000, right? But when I'm looking at beauty in Canada, I'm probably looking at a sales rank filter of about like 20 to 30,000 in general, right? So, what my criteria would personally be is I want a 90-day average of about 50,000 or less.

(08:01) And again, you can stretch that out if you see fit. You can, of course, play with these however you want. I want to see a kind of a minimum FBA price because we know in general, if you're finding products that are extremely cheap, generally speaking, they're not going to be profitable. There's always exceptions, uh, but typically you have to source items that are ungodly cheap in order to make them profitable.

(08:28) So, it's usually not worthwhile. So, I would typically set a minimum price filter of about 15 to 20ish dollars around there, depending on your personal experience and what what kind of products you tend to find and source. So, I want to restrict a little bit more today. So, I'm going to go a minimum price of $20 FBA.

(08:48) So, we have already cut out 800 products. Um, what else can we apply here? Here is where we can apply our category filter if you want to just look at specific categories at a time. We're not going to be doing that today. I want a FBA offer count. So, this is more relevant to the US. In Canada, it's not that uncommon that we find listings with one seller on it that are viable and sometimes even listings that have no sellers on them today.

(09:26) Um, so like in the US, I would typically say you want new FBA sellers, probably about three, four plus. Um, because we have a lot of storefronts that I've already identified are most likely OA sellers, we're not going to be cutting out a lot of private label junk. And so if you were doing like a broader search, we'd probably want a minimum of two sellers to ensure that we're cutting out a lot of the potential private label stuff that we're going to be finding.

(09:50) In this case, I just want to have a minimum of say one FBA seller, which all the products should automatically have. And then what we can do, I want to get rid of digital products, ebooks. Usually that doesn't change anything at all. And then we have a really helpful filters here would be sales rank drops and or bought in the past month.

(10:17) I like the bought in the past month filter more than anything else. And from what I see um they are applying the updated bought in the past month statistics that we've been seeing in Canada. Whereas in Canada we see often on most listings if it sells 10 or more. Whereas with the US doesn't have that yet.

(10:37) The US still has a minimum of 50 plus. So I believe from what I've seen so far, if we put in 10 here, that means that we're only going to see products that sell 10 or more units per month, guaranteed. Okay. Uh we can go higher, of course, but being in Canada, we probably want a bit of a lower filter just to get more of a broader horizon.

(11:01) You can also do sales rank drops. Sometimes that is a pretty okay filter to use, but it can skew some data, especially on listings that have variations. So, it's a filter that I do use from time to time, but not as much as I used to now that we have the bot in the past month uh data available. And that might be about all I'm going to apply today.

(11:24) So, we can see we cut down our list of 1,800 products down to 450. So, we already cut out a [ __ ] ton of products. and that relates to spending a lot less time sourcing through products that were probably not going to be viable for us anyway. Okay. So then from here I'm going to click find products and then I'm going to be presented with my list of data.

(11:47) So very simplistic. Um, in here I would highly encourage that you configure your keep a product finder columns in a fashion that you like and then save that configuration. So like you can move these guys around to however you however you want and like there's a ton of data that we see here. We can come into configure columns and we can turn anything on and off that we like and we can search for data like sales rank etc.

(12:15) So I would encourage you to set it up the way that you like so that you're only seeing the data that's important to you off like on like this first little screen here and then saving that configuration so that when we come into it all we have to do is click load and then we can click uh load here and it's going to adjust all my data that I have here. So this is the way that I like it.

(12:36) I can see everything that I want to see very closely. I can see the current buy box. So I can see if Amazon's on the listing, if FBA sellers are on a listing, how many are bought in the past month. Quick link to Amazon. And doing this saves us a ton of time. So if you want to do that, you can just move your filters, turn them on and off however you want, and then come into configure columns, load, save, put a name in here, click save, and then that will save your preset for you here.

(13:03) And then every time you just open up keep product finder, you just have to click into configure columns, load, and then load it, and then it'll load your layout for you. Huge timesaver. Uh, anybody have any questions so far for anything that we've discussed? I got a question. What's up? Does um I've never loaded multiple seller IDs at once.

(13:34) Does it remove duplicates? As far as I'm aware, I believe it does. Okay, cool. I can't confirm that for sure. That's not something I've ever specifically checked, but I believe it would. Okay, sweet. Yeah. So, yeah, this is how I like to have it. Um and then of course like we don't have the keep a graph on the uh right hand side like we would in seller amp but we can kind of substitute that by hovering over products and we can see the keep a graph pop up assuming that you have the setting activated in keepa settings to have the graph popped

(14:09) up. It's like a have a have the keep a graph appear on hover setting. You just go into your keepa settings and turn that on and then whenever you whenever you hover over an Amazon link you'll have that uh graph pop up. But in theory, um, all these products should be very close to meeting our criteria anyway.

(14:28) So then we can start basically doing some manual sourcing for me. Like I know like Utopia, I'm pretty sure like those are private label products. Uh, some third party sellers might be selling them. So I'm just going to pass on those guys. But everything else I'll probably start opening up on Amazon. And then I'll just start doing some reverse sourcing from there.

(14:46) I'll just make sure that they don't look um, nothing looks out of the norm. I'll do some reverse searches and then I'll see if I can find the products and then go from there. And like we can already see that these are already meeting um sales volume that we would probably want. It looks like my team has previously sourced us for$,556.

(15:07) So if we can get it for that price, then it might be a viable product. But then from here, I would just do some searching, see if we can find it, see if we can make some profit, and then carry on from there. So, it just really helps streamline the process and get rid of a ton of additional garbage products a whole lot quicker.

(15:25) And again, it's something that some of you may have considered and implemented, but it's something that I had never thought of before until, like I mentioned, one of my VAS was mentioning that is the exact method that he started using because he was struggling a little bit with storefront stalking. And then all of a sudden, he just started implementing it.

(15:42) And then in his task manager, it was indicating he was done he was doing a a ton of keep a product finder. And we never taught him keep a product finder at all yet. And so I asked him in one of our meetings like, "What are you doing?" And then he explained that this is the process that he's doing to filter through storefronts quicker.

(15:59) And he basically 2x his production in in a single month because he was just able to source through so many more stores, so many more products so much quicker. And so this process isn't going to be necessarily perfect for everyone. Like if you need like all that data that you have in seller ramp of like your max price, your quick links, your keepraph, etc.

(16:22) , This might not be the process for you or your team members. That's okay. But for those that can look through data like this, it will probably save you or your team members quite a bit of time for sourcing. And then a couple additional pro tips. So say if we find a data set like this from a bunch of sellers where it's like, okay, say we got some good results. Cool.

(16:50) What we can do from here if you want, we have our keep a product finder bot in the server that everybody can use that I believe is massively underutilized. You can literally take your search. So you you just click show API query, you copy this guy, you put that into the keep a product finder bot, and then anytime new results populate in the in within these filter parameters from these sellers, you'll get pinged.

(17:17) So, it's kind of like seller watch on steroids a little bit and you're getting much more filtered results. Anybody have any questions so far? I got a question. I thinkwami came off his mic first. So, call me, what do you got? And then we'll get to Ron here. Yeah, I was just surprised about the keeper product finder bot you said was in the server.

(17:52) Hi, can you show where it is? Of course. Let me pull up a Discord window here. Just give me a second. Okay, thanks. So it's it operates on a very similar principle that um our seller watch operates on but you can run any keep a product finder search that you want. So let me pull up the screen here. So if you come into the server, it should be in the command list. You'll find keep a procfinder.

(18:29) So there's keep a procfinder here. So it shows you the commands that you can run. And then there's also a full video walkthrough on the introduction on the keepa procfinder bot. It's available to everybody in the server. Uh you do have to load in your own keepa API key. That's where it's pulling data from. Uh it's similar to sellerwatch, but then you can use it to your heart's content.

(18:51) And so we can run commands either directly in the server. So you can go into the bot commands uh section and run these commands or you can find our bot which is arcane tools. So arcane tools here you can message this guy and then you can run the commands in here. So if we look at the commands here, uh I want to add first what you want to do is set your key that will link your keepa API key to the keepa productinder bot and then we can add a query and a query is just a search.

(19:29) Okay, so if I want to run that command, I just go forward slash add query. It's going to ask us for the JSON file. And so what this is is from keep a procfinder. It's the uh API query right here. And so we click on this guy. And this is telling the bot what filters you want applied. Okay. So we just copy this exactly what we see here.

(19:55) Copy the entire thing. And then one thing that we want to make note of is it says per page 100. And right now we have 459 results. So, we want to change this number to be higher than this number. That's the only major change that we have to make. Okay. So, we come in here. We add this into this section here.

(20:17) I'm going to change the 100 to 700 just to make sure I don't miss any results. It's going to go up to seven pages or 700 results. That's what it's going to that's what it's going to search for. You can name this whatever you want. So multi-eller CA or whatever you want to do. You choose the marketplace you want to do the scan for.

(20:40) So in this case it's going to be Canada. You hit enter. It's going to add it to your query list. And then now whenever new products are detected in those parameters, it's going to ping you. And you're going to get a ping just like this. So it's operates on a similar principle to seller watch uh but it's specifically for keep a product finder.

(21:04) So if you find if you go through and you do do something like this and you find like okay like I found a ton of good results, excellent. Load that guy up and then you never really have to reload these storefronts again because you're going to get pinged whenever new results populate meeting your filters. Thank you. Perfect. Yeah.

(21:26) And so something that I know that Danny had asked a while ago and I didn't forget about Danny is on the keep a product finder bot right now. It's pinging two separate actions. So it's going to ping any new asens that are detected in that filter and it's also pinging uh price changes of greater than 10%. We're we are going to remove the 10% price change because I think it's redundant.

(21:50) uh myself or Bra haven't had the time to do it yet. Um but it's on my list and it's going to be prioritized probably next week and so we're not going to have we're not going to get pinged for price changes going forward. It's just going to be for new products that are detected.

(22:06) So with uh results right now, you're going to get a little bit of spam, but then once we make the change, which I'll make an announcement when we do make that change, it'll just be for new asens detected. Uh Evan said, "If I wanted to sort through, say several storefronts with products in the tools category and I wanted to focus on products within the top 2% of the category, how do I find which range of sales ranks are within the the 2%.

(22:32) " So something that you can do is um Keepa has a like a category tree. So let me duplicate this guy here and I think it's category tree. And so yeah, like right now we're on the CA marketplace and this shows you how many products are in every single category for Canada. Okay, so for tools for example, like what you asked, uh they currently have 12,666,000 products and tools.

(22:58) So you just take 12,666 times by 2%, 666 devil number 000 times 2%. So then your top 2% filter would be about 250,000 or less. And that's exactly how you can find that out there. For those that don't know people that make sales rank charts, this is exactly where they get their data from. I know because we've done it.

(23:28) Danny, no, I haven't forgot about it. I have a massive to-do list of things that we have on the go. Uh I very rarely forget about things. Uh, it's typically just on one of my to-do lists I haven't got to yet. So, yeah. Um, again, like what this is is like this isn't like a super advanced method, but it's something that's like so simplistic.

(23:48) I don't believe a lot of people thought about it because I never did. It was literally just a VA just came up with like, oh, I believe I can do this. Tried it out, had super good success with it. I'm like, that makes a ton of sense. And I never thought about it. And so I guarantee probably most of you guys probably haven't either.

(24:13) So any questions about the storefront stocking section before we carry on at all. One additional thing that I want to mention is if you want like depends on how technical you want to get. If you want to do like just this as is, you can do it just like this. If you want, you can export your data and then export it into like an Excel workbook or Google Docs uh or Google Sheets rather.

(24:42) And then like you can run like you can have like code or scripts ran in that doc. So like it automatically calculates what your expected payout is. So like your max price because like there are fee calculations right in here as well. like Keepa tells you what your expected fee should be.

(25:00) So you can calculate that even with formulas if you want. You can calculate with that formulas. You can do uh like little hyperlinks that populate automatically in Google Sheets with formulas to give you Google searches to give you uh eBay searches to display your keep a graph inside of Google Sheets. You can do all that. So if you want to get technical and make your own little mini seller amp inside of Google Sheets, you can do that as well.

(25:23) And you can do it more advanced with a script or you can do it like not as technical with some formulas. And I guarantee all those formulas you could probably build quite easily with like chat GPT. So you wouldn't really know how to you wouldn't even really have to know the formulas yourself.

(25:41) You can just tell chat GBT that this is what you're doing. You want a formula for this. Get the formula and then move on to the next thing. And it'll just help you sift through your data a fair bit quicker. And then you can also do like little conditional formatting things. So it's like if this is like 2x the price of uh or my expected payout is $5 or $10, you can have that that column turn green or whatever the case may be, right? You can you can get as fancy or as a technical as you want with it.

(26:21) Cool. So, any questions about that before we continue on at all? Cool. So, let me get these guys closed out then. Okay. So, now I want to get into data scraping. And so everybody had not mentioned here that they haven't implemented any data scraping in their personal business and that's completely okay.

(26:54) uh data scraping is a little bit more advanced and what most I would say probably like 95 99% of sellers probably have never done have never heard of will probably never do it because it's you know scary technical um it's not that technical once you break it down and it can help you essentially sift through a lot more data more quickly and what we can look at data scraping as is We can almost look at it as making a substitute to something like say tactical arbitrage.

(27:28) But having more flexibility so we can do almost any website that we want. And with the methods that I utilize, we can get a lot less [ __ ] results than what TA would produce. Like because TA like even to this day produces a [ __ ] ton of mismatches, uh not great results. You have to filter through a lot of junk. Whereas with utilizing some of the methods that we're going to discuss today, we're going to be filtering out a lot of that [ __ ] Okay? And so at its core, data scraping is simply going to a web page and scraping corresponding data that you

(28:03) want off of that web page. And so in the context of uh wholesale or online arbitrage, that would primarily mean uh your product name, your product price, UPC, and then links to those products. So relatively simplistic. We want that data and then we're going to be comparing that against Amazon's database and then essentially calculating or finding opportunities that have that are selling for more on Amazon than the items cost us at retail.

(28:36) That's essentially what it is at its core. Okay. Um I mentioned here why would we use data scraping in Amazon? simplistically to give you additional methods in your repertoire of sourcing to make you more of a like a Swiss Army knife of sourcing and it can also help speed up your sourcing methods as well.

(29:02) Okay, so I wouldn't say like this is a method that you have to replace all of your other sourcing methods with. I would never typically do that. I would always say that it's something that you want to introduce on top of what you're already currently doing because it can give you more opportunity or like say if you're just not having good results doing one method, KPF, storefront stocking, whatever, then you can switch to something else and then that might have more or better results for you that day. And so there's a difference between

(29:32) data scrapers and then Amazon UPC scanners. And we're going to be discussing them both today. So data scrapers are exactly what it sounds like. They are tools to scrape data from websites. And then Amazon UPC scanners would be something similar to like keep a product finder which we're going to be discussing here.

(29:52) Uh it's going to be able to basically bulk match UPC's against Amazon's database and find products that exist in Amazon already. Okay. Any questions so far? I keep clapping my hands and every time I do my dog barks. Cool. So, there's a ton of different options to scrape data. I'm going to discuss a few today and we're going to demonstrate for data scrapers too today.

(30:30) So, there's a free extension that I like called Instant Data Scraper. It's a Chrome extension right here, completely free. And we're going to look on how to use that here shortly. There's a tool called Scrapey or Scrappy. I'm pretty sure it's called Scrapey. It is completely free. I'm pretty sure it's open source, but you do need some technical knowledge to be able to use it. It's not super userfriendly.

(30:54) If you are a little bit techy or you're willing to sit down and figure it out, it's not too complicated to figure out, and it is entirely free. Uh there are other tools, a lot of them that exist. The one that we're going to be discussing today is something called Octopar. Octopar for the purposes that we're utilizing it for today, you can get completely for free.

(31:16) The only time that you'd really have to get the paid plans is if you're doing a lot of scraping or you're wanting to not scrape on your computer and you're wanting to scrape via their cloud services. Um, you can use AI agents. You can't use chat GPT. ChatGpt will not do web scraping for you right now, but there are other AI agents that exist that will.

(31:41) You can just say, you know, this is a web page. Get me this data. And it'll go and do that for you. And then you can also, of course, do custom codes as well. So data scraping coding is like a relatively entry level coding project that a lot of people start off with. It can start off with entry. it can get very very complicated. Um, so if you are somebody that wants to be a little techy or wants to learn how to code or wants to do coding with AI, I don't see it as being a bad project to be able to do.

(32:14) I know some people in the server that are not in the call today, they've produced their own data scrapers that I've worked with different levels of success. Okay. There's also multiple options to scan UPC lists. And in today's session, we're specifically talking about UPC lists. There's a whole other category when it comes to image matching or title matching.

(32:44) Okay, those are a lot less accurate and they take a [ __ ] ton of more time. And technically tools like tactical arbitrage integrate that in their tool, but that's also why they get a ton of bad results in my opinion. So, we're going to be mainly focusing around UPC scanning today because it's a lot more accurate.

(33:07) It's a way a whole lot quicker. So, we can use the Keepa product finder or viewer rather. uh we can go in the Keypa product viewer and we can load UPC lists directly in Keepa and then it'll extract that Amazon data for us. So it'll find matches uh for any Amazon listings that exist for those UPCs and give us all that corresponding data. Uh and then there's other tools.

(33:32) So like Scan Unlimited, that's my personal favorite. That's the one I've been using for a long time. That's the one that we're going to be demonstrating today. And we're also going to look through the keep a product viewer. And then there's other tools. So there's things like seller assistant. Uh I haven't personally used that one, but from what I see, it seems that it works good.

(33:53) Smart scout has a UPC scanner, but only works for the US market. And there's a ton of other UPC scanners out there as well. So you realistically just have to find the one that works for you. Uh most UPC scanners minus Keepa do have a monthly fee attached to them. However, okay, so that's something that you obviously have to consider.

(34:14) Uh the fee in my opinion for how much use you can get out of it is reasonable. Uh but we do have some other free options. It's just it takes a little bit more more time to get the results that you're looking for. And I'll show you a comparison today. So if we're going to be analyzing via keep a product finder, uh what we want to do, these are our steps.

(34:41) I'm that I'm going to do a demo is we want to extract the product data from the website. So ideally our price, product URL, and UPC. Uh Danny says, "What if a wholesale catalog doesn't have UPC? Can you suggest a workaround?" So yeah, like you can do title searches. Um, so like even software like Scan Unlimited, for example, they can do keyword searches, but you're going to get a ton of mismatches when that happens, and it's just going to take you longer to sort through the data.

(35:12) So UPCs are always king. Um, when you don't have those, it's either manual searching or willing to deal with all the additional garbage results that we get. So yeah, we want to extract the product data. We want to load the UPC's in the proc view in the proc viewer, configure our columns like we mentioned earlier, export your data and then clean up our data and then we can analyze it.

(35:36) So I'm going to show you an example now. So uh one that I'm going to do is for retail radar. So Al alli from YZ Prep, this is the website that he has been working on recently which is basically the stock track killer. uh on this site. A couple of websites have UPC's included in them. Okay. And I like this kind of format because it's a lot easier to scrape this data from.

(36:04) If we were to try to go into Best Buy directly, uh Best Buy's website doesn't have uh UPC's directly available on the product page itself. It's embedded in the code like in the HTML. So, it's a bit of more of a [ __ ] to get. Whereas with this, super easy to scrape the UPC's and do it for free and do it quickly.

(36:28) So say we want to do Best Buy for example. So I want to look at all products. I want to look at highest percentage off. And so anything that has a UPC that exists on here. What we can do is we can use that little tool that I discussed earlier. Instant data scraper completely free extension. We just come on the website that we want to scrape data on.

(36:49) Click on this guy and it automatically grabs the data for us. So we can see that it grabbed 48 rows of data and it grabbed our link. It grabs the brand name, the the full product name, UPC if it existed, uh sale price, original price, and discount and how long ago it was last seen in the system.

(37:16) So instantaneously it got that data for us. Okay. But we can see up here it got 48 rows. So we got the rows that the extension can currently see. So we can see that there's a little little red box around here, right? So if we want to get the rest of the data, what we can do is we can click it's an uh infinite scroll. So like this is a a thing that just like the more we scroll, the more results populate.

(37:43) That's an infinite scroll. So we just do that. come back on the extension, click start crawling, and then it'll start getting the additional data for us, and it'll either work and start populating more data, or it'll stop, and it'll say that there's an issue that we have to try to troubleshoot.

(38:03) So, we can see it's already got us 192 results. Uh, it hasn't found anything else. So, it might be capped at 192. So, we got 192 results for us. If uh we're missing any, we can scroll down the page more and try it again. But that's probably a good chunk of the results that we want anyway. Uh so we're down to 57 not changed.

(38:30) Try create increase crawl delay. So let me scroll down this page here. Just going to move this guy out of the way. I'm going to essentially help the extension see more data. I'm going increase the delay to say 25 seconds and start. See if it finds us something else. And we can see it's active. It's actually like moving my screen.

(38:56) So right there it increased to 547. And it's very quick. It's very efficient, but it has limitations. And we're going to discuss that in a moment. So I think that's more than enough data. We're going to stop crawling. And so it found us 643 results. And that was like basically instantly. Okay, super quick. Our other methods of uh scraping data take a little bit longer.

(39:21) So now if we want we can extract this data either via CSV or Excel format. So I'm going to get an Excel format here. Or sorry, I'm going to get a CSV assuming that it doesn't give me a shitty format. I'm going to open this guy up on a secondary screen. Just give me a second and I'll bring it over here. file upload downloads.

(39:55) Retail radar. Going to open this guy up. Google Sheets. Cool. So, I'm g bring this guy over here. Get rid of that. And so, this is our data. So then from here what I like what I like to do is before we uh scan this is just clean up your data. Okay. So get rid of data that is irrelevant. Um sort your data. Get rid of stuff that's no good etc.

(40:23) Um so in this case like we have an image link. I don't need that. I'm going to get rid of that guy. I don't need last updated. I don't need my discount percentage. I don't need the original price. I only need the sales price. So we can get rid of that. Uh, I think having both of those is fine. The link is fine.

(40:43) So, I'm just going to go URL. I'm just name this for my reference. Product. This is going to be UPC. This is going to be price. And now what we can see is that our UPC's are a little bit messed up. Okay. So, our UPC's I'm just going to hide some of these guys. So, some of our UP like our UPC say UPC with a a colon, whatever we call it, uh, and then have a UP UPC code.

(41:12) That's not going to work in our scanners. We just need the raw UPC itself. And so, you can either like run a formula to do this yourself. Uh, you can feed this CSV into chat GPT and tell it to clean the data for you. Just say, "This is what my UPC looks like right now. This is what I want them to look like.

(41:31) " and it'll give you an updated list or you can have it like produce formulas for you. So I'll show you an example. Let's bring over chat GBT here. So I'm just going to say I have data in Google Sheets starting from D2. I have data in Google Sheets in D2 all the way down to D. That looks like this. I want it to look like this.

(42:00) I'm just going to copy some of these actual UPC's me formula to do so. Here we go. Here's our formula. I'm just going to grab a blank field. Paste that in here. And there's our fixed UPC's. Easy peasy. And like I said, you can also just like download the CSV, give it the chat GPT, and just say fix this, tell it what you want, and it'll give you an updated CSV with the clean data.

(42:40) Okay. So now with this, it's showing like if we click on it up here, it's a formula. I don't want that. So what I'm going to do is I'm going to select all these guys. I'm just going to select it all. Come back up to the top. I'm going to hit control shiftV. That's a special paste. And now it's pasting the actual FA like the actual numbers instead of a formula.

(43:06) So now I can get rid of these two columns here. And we have our clean data. And Danny says, or you can select the whole column, control plus H to replace. Replace UPC with empty space. That sounds like a much easier way. I didn't even know you could do that. I'm doing it the hard way. So, this is our URL.

(43:30) Uh, we can see that we have some results that don't have URL. So, what I'm going to quickly do is I'm just going to sort my data. So, I'm going to go data, sort range, advanced, sort by URL. And then I'm going to get rid of the empty spaces. Why didn't it sort it properly? That's interesting. It gave us an empty space. But yeah, we we can leave that UPC and not URL the heading.

(43:58) What's that? You made a URL instead of UPC for the OMD header. You are correct. I did URL, not UPC. You're 100% correct. Uh, but you got to change it then column D. You have URL there. Yeah, I do. You're right. UPC fix my [ __ ] Why did we disappear? They went down here, didn't they? Yes, they did. Son of a [ __ ] There we go.

(44:46) Now we can do it. That's better. Now, I'm just going to get rid of the ones that didn't have UPC's because we're just doing UPC searches today. And now, we're ready to scan. So, I'm going to download this guy. I'm going to download as a CSV. So, that's that guy. I'm going to come into the product uh product viewer.

(45:10) Let's get rid of the finder here. I'm going to load a list of UPC's. I'm going to load up this guy and that's going to find our matches and it's going to essentially give us a format identical to keep a product finder. So then from here we can start doing our manual sourcing just like we normally would. Okay. So you can either do s like sourcing directly in here or we can then download this data and then we can put it back in this sheet and then have like our our data combined for example.

(45:49) So what I would do is if I were doing it this way is I would download my sheet. I would feed both of these into chat GPT and I would say find the UPC's that match on both of these and then combine the data together. And then we're going to have the data side by side. So we're going to have that this this UPC was found as a match on Amazon.

(46:10) This is my buy cost. And then on Keepa, it's going to show me what my buy box price is. And then I can very quickly easily see like about if I want to look at 2x of my buy cost side by side. And I'm going to uh those are the ones I'm going to search into. I'm going to look into. So it's certainly not perfect.

(46:29) It does take a little bit more effort. Uh you like I mentioned before, you can run some scripts and stuff to make it easier. Uh but this is like the absolute bare bones free way that you can do it. Okay. And then I'm also going to show you utilizing a a UPC scanner as well. So any questions so far? Cool.

(47:02) So, I'm going to get rid of some of these guys just to show you for reference. Uh, for the UPC scanner that we're using today, I'm using Scan Unlimited. Their pricing, you can do one free scan a month. Uh, you are actually connecting like your Amazon keys, like your MWS keys into your account. So, I don't think you can manipulate free trials or like more scans.

(47:25) I haven't tried it, but it's possible. Uh, but I imagine they probably link your keys together. You can't change those keys. So, if you are utilizing this, you want unlimited usage, it's $70 US a month. So, it's not the cheapest of options, but it is certainly a lot more efficient. And I'll show you. So, I'm going to bring over Scan Unlimited here. Okay.

(47:56) So, we have this guy and so we're going to grab our CSV. He's so mild. Uh, MZ, you want to mute your mic? Thank you. Okay. So, now it sees our data and then we want to just tell the software what we're searching for and where to find that data in our sheet. So, we're searching by UPC. So, we can see in here we can search by keyword if we want, but again, it's a lot less accurate.

(48:21) We're going to get a lot more junk results. So, I'm uh searching by UPC. It's asking us where I can find that UPC. So, it's under our UPC column. It's asking us where I can find the cost. So, our cost is under the price column. It's asking us what currency we want to run it in. And then it's asking if we want to include any additional fields in our results.

(48:43) So, I'm going to include my UR my URL to my proc URL. And then I'm going to click start. and watch how quickly this gives us results and watch how quickly we can find if there is potential profit to be had. So, let me just move this over because I don't want to show you my prior scans.

(49:07) So, just give me a second here. So, this one, yeah, it's already done. So, let me bring it back over here. So, it's already done. And this is what it looks like. So, it finds the actual UPC matches in Amazon. It gives us the asens and then it gives us all the data that we would need. So it gives us what the uh expected profit is based on the data that's fed into the sheet.

(49:28) Uh it shows us how many offers there are. You can power it up and get sales rank and all that kind of stuff. And like it literally did that within seconds. And then we can filter through this data too. So like say I want only look at the items that have the highest net profit. I can sort it by highest.

(49:47) And now we're only looking at products that have a higher net profit. Okay? You can also filter it and remove whatever values that you want or only include only values that you want. Right? So it's relatively dynamic that way. And then from here, you can just start uh opening up Amazon and your product links and then comparing and seeing if anything is viable.

(50:09) So I know that we're probably not going to be selling any Apple stuff on on Amazon. I don't believe we are even allowed to anymore. But like off the rip, one thing that potentially interests me is like maybe like Weber here. Let's look up Weber. This is a grill cover. So, let's open up this guy.

(50:30) And then my proc link is going to be over here, which you can move all the way to the other side if you want. And so this guy, it looks like it's on sale. It's out of stock, but it's 66 bucks. We can see that this sells a lot. Uh we recently had some price dips, but it has been very consistent and has consistently sold 50 plus per month.

(50:53) And if this was in stock, that'd be a super viable product. Yeah, it obviously increased in volume when we seen a price drop like that. Um but when it comes back up to the regular price, super viable product. So like 50 50 per month. you're competing against Amazon, but if you're not a new seller and you're not scared against competing against Amazon, that's super good and it has some potential in the US as well.

(51:22) Uhwami asked, you have to set your profit setting inside of Scan Unlimited beforehand. Uh so you can set things like uh miscellaneous costs, shipping costs, etc. You certainly can, but you don't have to. So it's similar in that aspect of like um like your seller ramp settings as an example. So yeah, we can see just how quickly it found us results, right? So again, not everything here is going to be like viable because some of these guys are probably going to have a shitty sales rank.

(51:55) So like we can filter out the ones that have shitty sales ranks, right? So we can come here. I want it greater than one. So we're filtering out the non- sales rank. Apply. And then uh say I want because these are going to be mostly outdoors and electronics. Say I want less than I don't know say I say I don't know 100,000 just to be safe.

(52:28) So now we filtered out a bunch of junk, right? We can filter out negative net net profit stuff, but we're left with a a chunk of products right here that have potential. This guy is very low net profit. That might be I don't know if that's private label. That's an Amazon brand. But we can just see how quickly we can filter through the data, right? Let's look at this DJI product.

(52:53) DJI. And if you're going to do this consistently, you should certainly move your fields like move this guy over to the other side. So this guy, it's not in stock right now, but obviously it was. It's $9.99 propellers. And these guys are almost always going to be matches, right? Because they're UPC matches. They're identical, right? So, it's very rarely you're going to have a false positive here.

(53:20) Um, so I imagine it's probably a match$9.99. So, yeah, like that isn't a horrible product. Uh, it's not horrible. It's not fantastic. is not bad, but yeah, obviously if we did additional scans, we could get a lot more results as well, right? Especially if we did scans right when sales started. Um, if we just looked at today's results, if we looked at other stores, if we ran this data and ran it against the US market, we'd probably find even more results.

(53:52) So, there's all different kinds of opportunities that we can have with utilizing tools like this. And so I mentioned that utilizing stuff like this very easy and quick utilizing a tool like the instant data scraper. Uh but if we are getting into websites that let's just pull up an example here. I had an example ready.

(54:20) Say if we pull up a website like this where say we want to look at Gundam products. we don't have the UPC code on the main page. Okay. So, in some cases, if it if the UPC is somehow attached to the link of these products, which in some cases it is, which is this website, it actually is. Most websites, it's not. If it's attached to the URL, we can use that tool and then we can extract it out.

(54:50) But most of the time, we need the scraper to scrape all the data off this page and then open up every page individually and find the UPC's in those pages. So this one, this one doesn't have a UPC, but I think most these guys do. Let's find this guy. Yeah, like UPC. So we need the actual scraper to open up the proc page, find that UPC code, and give that into our data.

(55:16) And that's where more advanced tools like octopar come in because a tool like this is unable to do that all in one go. Okay. So before we continue on, does anybody have any questions at all so far? Is anybody overwhelmed with what we've discussed so far? Does it or does it look relatively straightforward? any thoughts, opinions, comments? Just a lot more technical than I'm used to.

(55:54) So, yeah, like it does it does look scary, but when you break it down and like say you you you say you do this just a couple times, it's a lot easier than what you think. So, off the first rip, well, like the first couple times you do this, yeah, it's going to take you a little bit because like I don't know how to move data super quick in spreadsheets or clean up data or use these tools.

(56:19) That's completely okay, but the more and more you do it, the quicker it is. Abdul says, "Didn't retail radar has UPC. Probably got a new project for tomorrow to automate this thing." Yeah, so they only have UPC codes for two websites right now. So, just Best Buy and Walmart. Uh Ali said that Staples is going to be coming soon and then uh he's going to work on adding the other sites as well.

(56:44) I did mention to him that some products are missing UPC codes. So like when we look at Walmart for example, what I would want to do is I want to filter by sold by Walmart only, right? And some of these guys, most of them have UPC's, but every now and again you might find one that's missing UPC's. He's aware of that and that's something that they're working on fixing.

(57:07) And so like Walmart, the site by itself has UPC codes, right? So we can we can scrape Walmart itself. It's just utilizing something like this that's an aggregator that has it all available so much quicker. Uh we can use Octopse as an example and we can go into Walmart and scrape itself.

(57:26) Walmart though has a lot of like anti-bot stuff. So they throw up a lot of like bot checkers. Like even when you find if you're sourcing Walmart manually for a while, you'll get those bot checkers that pop up and never go away. So they can be a pain in the ass to scrape. So Abdul says, "Wall with UPC and price drop is gold, especially for Canada to US." I know. I know it is.

(57:51) I shouldn't be sharing all this stuff with you guys. You're learning my methods. But yeah, there's a few different reasons why I was so excited when Ali says that he was making this because I know what kind of potential it has. And I got confirmation from him today that he's working on web hooks. So, we're going to be having some of these guys come into the server right away. But yeah, super.

(58:21) It is a bit more technical than most things, but when you break it down, it's relatively simplistic uh and can be very very effective for quick sourcing. And again, like these exact same things can apply to wholesale as well, right? So, if you find a wholesaler that um if they give you a straight catalog, you can just and that catalog has UPC's, you could you could run that directly in something like Scan Unlimited, get results very very quickly.

(58:51) uh if they don't have cataloges and say they just have an online store, you can data scrape that store assuming that they have UPC's in that in that storefront. You can get it without UPC's. Uh it's just we're going to have a lot more shitty results if we do it that way, right? Uh, let me move this guy back over.

(59:24) And just as a side note, pro tip, if you're doing sourcing like this and you find a product like this, it's like this product had really good potential. It's currently out of stock. Let me find it again. Doesn't mean it won't restock. So, we have our private restock monitors in the server. If you find this product and this is the product you want to buy, it's currently out of stock, add it to your private restocks.

(59:47) And then if it restocks, which often times it does, you'll get notified immediately. And then you can cop that inventory. You'll get notified within seconds of it restocking. So, any questions so far? But yeah like so oh sorry go ahead. Sorry you don't know like how how many item we can keep track in the rabbitic free stock. There is no hard cap.

(1:00:33) So, oh, it's like if you look in here in our little spiel, it just says try to limit try to limit to less than 10. This is just here as a disclaimer just to not have a abundance of abuse. We have some members that are we have some members that our developer mentioned is monitoring like a 100 products.

(1:00:56) Just don't go stupid and don't like don't do like hundreds and hundreds of products and don't add them all at once. just, you know, add products and then if eventually if our developer says like this person's adding way too many products, then he'll yell at me, then I'll I'll let you know. Okay. Okay. Got it. Thank you. Thank you so much.

(1:01:15) Of course. But yeah, it operates on the same system that our regular restock monitors operate on. And for our regular restock monitors, like for our public ones, we're actively monitoring over 4,000 products, right? So you adding in, you know, 20, 30, 50 is not a huge deal. Um, but yeah, I was mentioning that you can do like almost the exact same thing that we just did in Scan Unlimited with the Keepa product viewer or loader, whatever it's called, the product viewer.

(1:01:50) Um and then you can extract that data in your sheets and uh review it side by side and then you can like run scripts for profitability or formulas etc. Like we mentioned it's just that takes a little bit more to get set up with right and it's a little bit more technical whereas with something like scan unlimited you can just load it apply some filters and then find your profit immediately.

(1:02:15) So you can do it either way. You can do it very very very cheap if not free or you can spend a little bit of money. Uh what are some other points that I want to mention here before we get into Octopse. So I mentioned all these things. Cool. And then so yeah, I just have some comparisons about utilizing KPF versus with other tools like UPC scanners.

(1:02:51) So UPC scanners are a lot quicker. Uh they can analyze tens of thousands of products in literally minutes. It's very very quick. Uh it's still not perfect. Uh because again, we're primarily utilizing this for UPC scans. Okay? So it's not perfect and there are going to be things that are missing because not every product has UPC's in Amazon.

(1:03:12) A lot of products have mismatches for UPC's. So, it's not perfect, but it helps you sort through a lot of products very, very quickly. So, what I personally like to do with my methods is we'll do a large scan. We'll get a lot we'll get a large set of data and we'll feed that into something like Scan Unlimited.

(1:03:34) We'll filter through the results. We'll find what any profits that we find and then we'll come back in and then we'll do some additional manual sourcing based on the brands. Okay? So, like chances are if like this Weber barbecue cover was on sale at Best Buy, chances are high they probably have other Weber barbecue covers also on sale.

(1:03:55) So, then I'll go back into Best Buy, I'll search for Weber barbecue covers and then I'll do some manual searching on Amazon to see if uh the software missed anything. That in my opinion gives you the best of both worlds. It lets you filter through a lot of data. It gives you those additional products that may be missed and it helps you save a lot of time.

(1:04:15) It's not going to find you absolutely everything versus you manually going through it. But if you were to manually source even just those that like that five 600 products that we did, it would take you many many hours to look through that. Whereas with this method, it took seconds. Right. Cool.

(1:04:41) So, now we can start getting into Octopse. So, let me get rid of some of this stuff here. I'll move this off to the side there. Move this guy. We'll move this guy. Cool. So, let me repull up the Octopar site. So, Octopse for again for what we are utilizing it for today, we can use it for free. Okay, it's a premium tool.

(1:05:11) So, it has a free plan and then it has paid plans. In my opinion, most people probably don't need the paid plan if you are utilizing this. Most people can probably get away just fine with the free plan. The main thing that the paid plan would have over the free plan would be you can run more consecutive tasks. So you can scan more sites concurrently.

(1:05:31) Like whereas with the free plan you can do 10. With the standard plan you can do a hundred at a time. Okay. With the free plan you're running data scraping only on your local computer. Whereas if you pay for it you can have the scans run via their cloud system via their servers. So it's not utilizing your computer resources. Okay.

(1:05:56) Most people don't need that. If you have a really really [ __ ] computer and you still want to do this, then that might be an option for you because then you're running via their servers instead of on your computer. And then you just have different um amounts of data that you can export.

(1:06:15) So you can export uh 10,000 lines per export of data and you can do 50,000 data exports per month, which for most people that's going to be more than more than sufficient. So, most people probably are going to do just fine on the free plan. Okay. And the reason why I personally like Octopse is because it's still technical, but it's more userfriendly than other tools that I've seen.

(1:06:42) Okay. So, this is the program here. So, you'll download it and this is what it looks like. and I'm going to run through some basic examples to show you a a simple simple simplistic workflow to start extracting some data. Okay. So, what we're doing is we're going to grab a site.

(1:07:01) Preferably, you're going to look through sites that interest you. Uh, and you're going to find a site that preferably has accessible UPC codes to have the the most success. And then we're going to look through individual categories of websites. So, for example, I have this guy here. So this is a website that we've sourced from quite a bit. It's a French website.

(1:07:19) I have no idea how to pronounce that. Raul Shgnon for Cubeckers. I apologize. Uh they have everything in French, but a lot of products are viable. Okay. And so we want to find a page that we want to scan. So, typically that'd be like an individual category or like a products on sale page or a clearance page, whatever the case may be.

(1:07:47) Uh, let me see if I can translate this to English first so I can see what I'm looking at. So, let's look at, I don't know, classic games. Okay. And I'm going to open up a few pages and see if it has UPC codes in it, which I'm quite sure sure that this website does. Uh, so yeah, they have they don't call it the French people don't call it UPC's, they call them cups. So it looks like they got UPC's.

(1:08:25) Cool. Okay, so now we can start our scan. So I'm going to grab that link that we had because we I want to scan the board. the board game page. Okay. So, I'm gonna grab this guy. I'm gonna put it into Octopse and I'm going to click start. And so, we're going to give it a second and Octopus is going to analyze the page and start extracting data on the back end automatically by itself.

(1:08:52) And so we can technically let octopar take over and like have it create its workflow like a workflow for us and more or less completely automate it. Uh but in my opinion if we do it that way uh it's going to extract a lot more data that we don't need and it's going to take longer.

(1:09:14) So, if you don't want to do any technical knowhow, you can literally click create workflow and then let it run and it's just going to extract everything for you. Okay, you can do that and then you can be done with it. So, you don't have to like do any additional steps we're going to talk about. Uh, but if you just take a few minutes and learn the basic process, we can filter out a lot more junk.

(1:09:35) So, instead of instead of instead of clicking create workflow, I'm going to click cancel. And then we're essentially telling the software over here what we want it to do. And it's starting from top to bottom. Okay? And it may seem scary. It may seem technical. It's not that bad. I'm going to walk you through it.

(1:10:00) So, the first thing that I like to do is if there's any pop-ups that show up on the screen, like say like an accept cookies popup or uh like a little robot verification, whatever, what you need to do is you need to click on browse mode and then that will let you browse the website or click on those buttons. Okay? Whereas if you're not on browse mode, what we're doing is we're extracting the elements from the HTML.

(1:10:26) So, it won't let you do that. So, like say for example, if um this guy, like right now, I can't click on the buttons. It's going to give me a workflow for that. Say if this guy was a pop-up, say I need to accept cookies, I would turn on browse mode. I would click on that and then I would turn browse mode off. Okay, so fairly simplistic get started.

(1:10:48) So, I'm going to go back to the first page. And now the first thing that I like to do is I like to get the however you pronounce it pegnation of a of a prog page. And that's just essentially telling the software where to find the button to click on the next page. Okay. So as just scroll down to the bottom, I find the button for the next page.

(1:11:16) Click on this guy. And what we want for it to see for a button is we want it to either say a like this, which is telling us it's a a link, a URL, or it should say button. Okay, that's it. So, it says a cool. It looks good. I'm going to click loop click. And this is telling the software that we're going to consistently loop through this process.

(1:11:45) We are going to we're going to have uh workflows above this. where it's going to extract data. It's going to open up the product page, extract more data, and then it's going to open up the next page, and it's going to loop that over. Okay, so I'm going to click on loop click, and it's going to give me a little box over here that's starting my workflow.

(1:12:05) And again, I know it may seem technical or scary, but just follow with me. It's not that bad. Okay, so we already have the first step done. We're already like a third of the way there. So now what I'm going to do is I'm going to ensure I'm clicking on this box. So I'm doing my next action inside of my current workflow.

(1:12:25) And now I want to find the elements of the page. So I want to find the product details like the name and the price. So we can just move our mouse until we hover over a section that gives us all the details that we want. So we can see here this when we scroll like this that little blue box covers that entire section.

(1:12:45) So that's the one that I want. So I'm going to click on that guy. That does one. So now I'm going to just do one more. So I'm going to go over to this guy. Do this guy. And now we can see it highlighted all of them for us. So now it knows where to find the data. Okay. Then we just up here we just clicked select all similar groups.

(1:13:08) And that's going to find all of our data for us. Okay? And I like you don't really need to understand why we're doing things that certain way because the process is basically the same on every website. As long as you just follow those steps, it's going to get you to here. And then down here, it's showing you what data it's going to extract for you.

(1:13:30) Okay? So, you can either leave it like this and have it extract all that data, or at this point, you can remove the data that you don't want. So, like this. I don't know how to speak French, but that that doesn't look relevant. So, I'll get rid of that guy. Uh, that doesn't look relevant. So, I'll get rid of that guy. These have some prices in them.

(1:13:50) So, it looks like this is a sale price. This is the regular price based on what I see there. So, I don't need the regular price. So, we can get rid of that guy. We can get rid of that guy. And we get rid of that guy. So I think that's everything that we need. Okay. So then from here I'm just going to click element data and that's going to add that into our workflow.

(1:14:18) Okay. So we can see our extract data. We want that action to happen first before it goes down and clicks on the page. So in order to do that, I just drag this guy above this guy like that. And now it's higher up in the workflow. So it's going to do that first. Any questions so far before we continue on? Let me know if I'm going too fast or if you need any clarification for anything so far.

(1:14:46) And keep in mind, we're recording this. So, if you want to reference back to this, you can reference back step by step when we're done here. Cool. So, we're twothirds of the way there. The last thing that we want it to do is we want it to open the page for us. and grab the UPC. Okay. So, what I'm going to do is I'm going to click on where where we would find the product link.

(1:15:17) So, where we would click in order to open the product page. So, this guy here and see it automatically identifies what this is potentially for us. So, we're going to click on the URL and that adds that into our workflow. It's going to analyze this page quickly here. usually just takes a less than a minute or so. I do not want it to create a workflow.

(1:15:39) And now we see that this guy is active. So now we have to tell it where to find the UPC code. Okay. Uh we don't want the skew, I don't think. So let's browse this page. This guy might not have a UPC. So, let's go back. Let's go back a page. Might have to reopen the page here. So, I'm just going to delete this guy as we're going to redo that.

(1:16:23) I'm going to reopen the page that we were originally on. Still on browse mode. I'm going to open one of these guys up. Okay, so that guy has a UPC. Okay, so let's get back into it here. So I'm going to click on this guy, click on our link. It's going to analyze our page quickly. And again, like when you're first doing this, like the first products that you load or the first time you try to run a task, it's probably going to [ __ ] up for you. Fully expect that.

(1:17:01) But once you do it a couple times and you like you try to like load this data in, you screw up, you come back, you try it out a couple times, then it becomes a lot easier for you and you'll be able to make fixes a whole lot easier. Okay? It's not super intuitive, but it's not super difficult. So, I'm going to cancel this guy.

(1:17:18) I'm going to come back into browse mode. I'm going to find my UPC which is right here. Turn off browse mode. Highlight that UPC because that's the data that I want. And I want to extract the text. So that's what it's going to do. It's going to extract that text for me and show me down here what data it's going to extract for me.

(1:17:39) And now for all intents and purposes, we're done because that's all that we want it to do. So we can see that it's going to extract the data from the main page. It's going to then click on the product. It's going to extract the secondary data which is a UPC. And then once it's done all that, then it's going to click on the next product page.

(1:18:01) And this is the basis of our workflow for what we're telling it to scrape for us. Okay. So from here we can click run. And with the free plan, we would only have run on your device standard mode. Uh we won't be able to run in the cloud for the free plan. So that's okay. And now it's going to start running.

(1:18:24) So we can leave it like this or we can click show browser and we can see what it's seeing and it's going to actively extract data for us. Okay. So we can verify our results and we can make sure it's not missing anything and we can make sure that's pulling the actual data that we want. We can see in this case it looks like some products may be missing the UPC.

(1:18:45) So we might have to adjust this briefly here. Let me just leave it for a second because some of these products might be missing UPC's. But we'll come back and we'll see. But it's actively going through all these products and it's extracting this data for us. And so we can literally close like we can literally minimize this and go do whatever else we want while it's doing this. Once we confirm it's all good.

(1:19:04) Okay. So it looks like it's missing some UPC's. So what I'm going to do is I'm going to pause it. and I'm going to adjust our workflow that we have here. So, this guy I don't think had a UPC. Uh, Norris, I'm going to open that guy up on a secondary page and just check that product page. So, that guy does have a UPC.

(1:19:27) So, here. So, it might not the first set of data that we found may have been like in a different X path or a different section of that page. So, we might just need to tell it that it also needs to grab this data, too. Okay. So, I'll show you how we do that. So, I'm going to close this guy out. We're going to stop it. And so, we need some more data.

(1:19:53) So, I'm going to turn on browse mode. Come back into the page that we were in. Find the product it was missing the UPC for. So, find this guy. Or actually, I don't think we have to click on this. Hold on. I think we can actually just go in this guy, find that UPC, extract that text, and let's see if it works now. Run.

(1:20:43) We'll see if it finds all of our UPC's for us now. We know that some UPC's are missing, but yeah, look, it looks like it's finding a ton more. And so there might be some adjustments that we have to do on some of the other pages. Some of these guys might be missing UPC's, but that's exactly what we would do is we would just add in the additional data.

(1:21:07) And then now from here all we have to do is like you can go back in you can adjust your workflow one more time to find those additional UPC's if you want or you can just let it run get all your data once it's done and then we can load that guy in the product viewer on Keepa via UPC's or in a UPC scanner like Scan Unlimited.

(1:21:28) So, I know it sounds and seems a little bit more technical and it is compared to most things, but it's not that bad once you break it down. And it can it can produce a lot of good results for you in a relatively short period of time. And just imagine like say if you have even sourcing VAS and you teach them to do this, uh that can help supplement their sourcing quite substantially.

(1:21:54) And you may ask, well, why would I do this versus just using something like tactical arbitrage? Like I mentioned at the top of the session, uh tactical arbitrage one produces a ton of garbage results because they are also doing pitcher matches and keyword matches. Whereas with this method, we're doing just UPC matches.

(1:22:15) So we're just going to find hits. So, we're almost going to almost never have any mismatches when we load them in a UPC scanner like Scan Unlimited. And then we when we do get our data and we load that in there, we can get our results almost immediately and we can find profit extremely quickly. So, we can see so far it's found it's gone through and done 43 products for us.

(1:22:42) So, it does take a little bit of time for sure. It's not going to be instantaneous. Um, but you can just let this run in the background. And then when we're done, let me just pause this guy. We can come into I think it's task list. And then yeah, here is where we can find our data. So we can export. Oops, that's not what we want.

(1:23:06) We can click view data. We're going to view our local data. And here's our set of data. So then we can export this via CSV or Excel format. We can clean up the data like we mentioned previously. So remove anything that's missing, UPC's, fix the prices, etc. And then we can load that in our scanner.

(1:23:34) So anybody have any questions about any of that at all? Again, I know it's a little bit more technical, so don't feel ashamed if you do have some questions. Yeah, Danny, I agree. And like this is something that, like I said, probably 95 to 99% of sellers have no idea exists or will ever implement in their source sourcing repertoire. So, it's like it's not like a standard seller can't find these same products, but if you're utilizing these methods, you can look through so many more products than what they can.

(1:24:21) You can like thousandx their workflow because you can run scans on like say like on your free plan, we can run 10 different scans at a time extracting data on different websites. Let that run in the background while we go to work in the morning if you have a 9 to5 or while you're doing other work. And then when you come home or when you've done work for the day, extract your data, load that up in a UPC scanner, and then find your leads for that day.

(1:24:52) So again, it's not like an absolute miracle method like I mentioned previously, like there are going to be things that we miss due to missing UPC's and Amazon's end, but it's going to it it can find so much so quickly. So yeah, uh Danny mentioned this method will not work for listings with different UPC's 100%. So that this is going to miss those products.

(1:25:19) Um and it will miss some diamonds, but it'll let you source through so many more products so much quicker because you're automating a big chunk of it. And like I mentioned before, like the the reason why I like to come back into scans afterwards and do some manual sourcing or some freestyle sourcing. Uh so I'll find brands that look like look like that we got some good results from and I'll do some additional manual sourcing.

(1:25:48) It's for that reason so we can find additional multiacks, bundles or UPC mis mismatch products. But even doing that, like we're still going to miss a few things, but we can look through so much more data and find so much more results so much so much quicker. Kafar, you were typing something. Did you have a question? If you want to hop on the mic, you certainly can. Yeah.

(1:26:23) And if you want me to go through any of the process again, just let me know. Uh but you can certainly rewatch it. And the process for every website is the same. But just a disclaimer, uh some websites are going to be a bit tougher than others. Okay? So like I mentioned before, like if we try Walmart, Walmart is probably like the one that is like the biggest pain in the ass because of their antibbody measures that they have on their site.

(1:26:49) So, I'm just pulling up Walmart on the secondary screen here and I'll show you what I mean. Uh, so clearance section of Walmart and thankfully like we have retail radar and we have the method that we mentioned earlier where we don't really need to do Walmart manually. Like say we were on Walmart and I wanted to do a clearance page.

(1:27:16) What I would do first is I would filter the results for the products that I want to look for. So, I only want to find stuff sold by Walmart because I'm not going to be sourcing stuff from third-party sellers. Then, I would grab this guy. And this is the link I'd uh pump into Octopse. So, let's close this guy. Come into here.

(1:27:37) And almost guaranteed Walmart's going to populate some Autobot [ __ ] or some bots like this stuff right here. And it's not going to go away. So, I'll let it detect the page and then we'll see if we can make this go away. And because of this, Walmart is super hard to scrape. So, I'm going to cancel this. I'm going to go my browse mode.

(1:27:59) I'm going to try and press this and it'll probably pop right back up. Oh, it's not going to do it today. Oh, there it is. And this is going to keep happening over and over again. So, it's pain in the ass. So, that's why I would recommend just utilizing something like retail radar like we mentioned earlier and then just scraping that data with like that Chrome extension that I mentioned because you're going to consistently get those pop-ups and eventually they're not going to go away. Uh, the method to get products

(1:28:35) from Walmart is via their API access, which is what Retail Radar is doing. Scraping Walmart is a pain in the ass. Most websites are not like Walmart though. Most websites, they are relatively easy to scrape. But yeah, um for me, like again, you can source websites that don't have UPC codes if you want.

(1:28:59) You can do title searches. Uh in my opinion, it's not worthwhile. It's it takes too long. We get too many mismatches. So, I find the websites that have UPC's on their product pages, and if you do that, you're going to have a lot better, a lot quicker success. You can use Octopus on retail radar for sure, but I don't think it would be, you don't really have to because you can just use that uh free Chrome extension that I mentioned, right? It's way quicker.

(1:29:31) Retail Radar. Retail Radar because they right now they only have UPC's for Best Buy and Walmart. So, we can come into Walmart. We can look at today's drops for example. We can filter by sold by Walmart only. We can run this guy. Instantly finds us our first page of results. I'm going to scroll down a little bit to load all these pages. Start crawling.

(1:30:01) Now it's going to find us the rest of the data. It's super quick. We already got 168 results. 216. So you can use Octopus on here, but there's no point in my opinion because Octopus will take longer. This extension is quicker, but it's just more limited. So cool. Like, yeah, it got it says no more products to load. It has everything. It pulled 381 products.

(1:30:36) I got all my data, all my prices. I track this via CSV. clean up my data and then run it in a UPC scanner. So, let's just do that right now. Just see what we can get. Download our CSV. I'm going to open this up in uh Google Drive. Give me a second here. File, upload, download here. Replace. open.

(1:31:20) Gonna bring this guy over here. Did I close my chat GPT screen? Because we need that. We can do your method with the H thing, but I like my method better. It's what I know how to do. So, this is price. We don't need that guy. This is going to be UPC. This is going to be URL. This is the product itself.

(1:31:55) Uh where is my formula from chat GPT? One second. The formula that we got earlier. Google Sheets UPC cleanup. Here's my formula. Put this guy in here. Gives me all my UPCs. Cool. Now I don't want Hold on. God damn it. I don't want them saved as a formula itself. So I'm going to copy these guys. Control shiftV over here. So I'll get rid of the formula.

(1:32:35) Get rid of those guys. Make this my UPC. Now, let's run this in scan unlimited. Scan unlimited. Let me just pull it up on my secondary screen here. And we can run these scans for both Canada and the US very, very easily. Uh, just have to log in over here. New scan. I have to download this guy. Retail radar.

(1:33:24) We are What time are we? 8:35. Get rid of all that. Okay, I'm just going to bring this over here. I'm going to search by UPC. UPC price. I'm just going to move this in case it's going to show any of my data. Scans already done. Here's all our stuff. And now we can filter the results. So I'm going to filter anything that is I want it greater than or equal to say I don't know $2 profit.

(1:34:17) I want the ROI greater than or equal to say I don't know 15%. Uh let's apply these guys here first. And now look at that. We just filtered through all those products and now we have some potential products right here. And then we can open up these guys, take a look and see if they're viable. So this guy is a buy cost of 5.89. And then that's it.

(1:34:46) And we do our sourcing and see what's viable or not. This one probably not so much, but we might find some good stuff here. Sometimes not so much, but the more that we do it, the more consistent results we can get. Yeah, these guys don't look too good, but I didn't have to manually search through any of that [ __ ] either.

(1:35:18) So, yeah, that more or less covers, I think, everything that I wanted to discuss today. the entire breakdown of like the steps that I had uh for Octopser right here. So again, they will be displayed in the video there as well that you can follow. Um but anybody have any questions, comments, questions, concerns about anything that I mentioned so far today? I said questions twice, but that's okay.

(1:35:52) Does this make sense for everybody? Like does is this something that you believe you can do? Is it something that you think you will try? Yeah, Bob. Uh 100% it is. And we had a lot more people when we started and people slowly fell off because people obviously it went over their head. So for the people that stuck around and are willing to try to implement this, you're probably going to have a lot of good success with it.

(1:36:38) I know we have certainly Danny. But yeah, again, like I know on the surface it looks scary. It looks like it's technical if you're not if you're not familiar with this stuff at all, but like I'm not a super technical person, okay? Like I I know how to use a computer, but like I don't code. I don't I don't do any of that [ __ ] It's just I've done it enough times that it becomes easier.

(1:37:11) When I first started, it was just like anybody else. I had no idea what I was doing and I just sat down and learned how to do it. Evan, all the more reason to implement uh s uh tools and sources like this. It helps speed up and speed up your sourcing time and increase your efficiency. Lorenzo, most likely either later tonight or tomorrow.

(1:37:53) Yeah, utilizing tools just like this, Evan, can certainly help streamline your processes and make it more quicker and efficient for sourcing. Certainly helps with supplementing existing sourcing methods or just increasing your overall efficiency. And like if there are some sites as an example, if you get stuck on some sites, uh you can always ask and if I have done them before, I can tell you if there's like any specific thing that we have to make them work.

(1:38:35) Uh there are a fair few videos that exist on YouTube for how to utilize Octopse. So that's how I personally learned how to use it. So if you're willing to spend the time to watch through those videos as well, you can probably watch a lot of the same info that I found. But yeah, Bob, I don't think you were here earlier when we discussed loading up uh or doing the advanced storefront stock in and loading those results in our KPF bot that we have.

(1:39:04) I think you popped in late when we were discussing that. Lorenzo, certainly I appreciate everyone that came out and stuck around. Like I said, we started with a lot more people and a lot of people bounced out because it obviously went over their head and they're like, "Ah, it's this is too hard. I don't want to try this.

(1:39:26) " And those are most likely the people that are probably not going to be super successful to put it lightly. 100%. It's not code. Uh and it's not a super hard process, but as soon as a lot of people face any form of adversity or it's like, oh, I don't know how to do something, they're just like, I'm not going to do that. It's a waste of time.

(1:40:11) And those people are going to be consistently the ones that only know how to do storefront stocking five years down the road. And then they're going to wonder why they're not progressing super well when that's all that they know how to do. Renzo, you don't even have to learn basics of coding for any of this.

(1:40:29) This has like you don't need to know any coding whatsoever. I think it's I think it's helpful to learn how to do some basic coding. I don't I don't know how to do any coding myself at all. Uh but with some of the AI tools that exist, I've been able to produce some tools and also um fix some of the tools that I had made previously, primarily using uh cursor AI.

(1:40:59) Cursor AI is [ __ ] insane for coding. Bob asked if I dabble with AI agents. Very little so far. I have a few that consistently look up data for me and give me like daily reports as an example like daily reports for the tariffs and Canada post situation. Every morning I check and I have new information on what's happening with that situation.

(1:41:22) Uh I haven't gone that deep with AI agents yet but like yeah AI agents is a whole another thing and I think you can do a lot with that. I've seen people build out teams of essentially employees of AI agents. So Abdul says he's working on something these days which might be a game changer. Um integrating Google shopping and Google image in Chrome extension on Amazon's page.

(1:41:51) That'd be super cool. I'd be interested to see something like that. Um, I've seen a Chrome extension that does I believe has an imple implementation like that. I don't remember if it's like if it was like seller toolkit or something else. I don't recall what it was, but they had an integration like that I want to say where it's like organically like they could see the results automatically when they pull up an Amazon page.

(1:42:19) And that is something that like I've been I've been talking about for a long time. I want to implement also into seller watch. Um I just have to get around to it. You're doing it for cross border. Very cool. Uh I have a little Chrome extension that populates. Have you ever seen my Chrome extension that I have for cross border Abdul? Let me pull up a product here.

(1:42:46) Hold on. Uh, I've I've had this extension forever. Forever. This is just in-house. So, it automatically tells me what the price is in the opposite marketplace. And then I can also open it up and calculate accordingly. Oh, I got to catch up. Abdul, you got to catch up. And I can switch back and forth between marketplaces and currencies.

(1:43:17) It's very helpful if you're just doing like regular sourcing to find crossber opportunities because it does it like it tells you immediately if it's available in the opposite marketplace, right? And um it'll also tell you I made a change not that long ago if the product is not available.

(1:43:36) Uh if like the product page doesn't exist, it'll say product not available. And then if the buy box is suppressed, it'll say uh pricing not available. Evan said on an unrelated note, will there be a session at some point on repricing? I follow your YouTube video, your video on YouTube on the topic, but I feel that I'm missing out on some sales because I have only one set of repricing rules for conditional repricing. So, Grip Trump be cool.

(1:43:59) Yeah, we certainly can 100%. Uh, I will put that on my to-do list. I believe you had made a suggestion about doing that as well. So it I I recall it was in the suggestion channel and so I do regularly review those as well but we can move it up the list certainly. Mine falls back in UPC search though in case of a as match not found.

(1:44:28) So, okay. So, like if a like if I open up a page and the crossber listing doesn't exist, it'll then do a UPC search and try to find a other listing on the opposite marketplace. Is that correct? Cool. Very cool. Mine does not do that. Yeah, I've had that I've had that extension for forever. Have a good night, Max.

(1:45:20) Abdul, have you been utilizing cursor? I know we had this conversation the last time that we we had a chat. Cursor is [ __ ] insane when it comes for when it comes to coding. Have a good night, Evan. Cursor change. It's Yeah, get the free trial, Cursor. It's going to change your life. Like the their pro plan costs 20 bucks a month, but you can get a free trial and like you don't even like Yeah.

(1:45:49) Your pro plan gets for $20 US a month, it gets 500 premium requests. It's so worth it. But just get the free trial. Change your life. Nick, you popped in here right when we're done. How's it going? Not too bad. What about you? Good. Good. We're at the tail end of the session. We already went through all this stuff here. Nice.

(1:46:14) Uh yeah, unfortunately I missed it, but I'll I'll watch the replay for sure. [ __ ] From what I heard that looking at the chat, it seems like it was a good one. So yeah, if you're willing to implement or try attempt some of the things that we discussed today, I think it can really speed up both OA and wholesale sourcing. Well, I I don't think I don't think I know it can. Nice.

(1:46:38) I mean, I'm always looking to get better. So when you come up with uh solutions for Google shopping, let me know what you come up with. Abdul, if you're willing to share and collaborate because that's something that I mentioned I want to implement into seller watch. I basically want seller watch to have the results that pop up, right? and then do a UPC search and under the standard ping that we have right now, populate like say like the top 10 results uh or standard 10 results off Google Shopping and say quick link to Walmart. Walmart is $10.

(1:47:15) Quick link to London Drugs, London Drugs is $11. So you can see super quickly if the product that you're looking at is viable to source or not. I think that's like super viable to do. I don't think it's super complicated. I just haven't gotten around to being able to do it yet. Yeah, let me know what you come up with.

(1:47:41) I'll be super interested to [Music] see. You get your record listed yet, Nick? Yeah, I did that today. Nice. I got to list more [ __ ] though, so that's like my task for the next couple days. Just get everything listed. Yeah, nice little freebie. Yeah. Yeah, for sure. Well, you uh put your roommate on uh eBay listings for you now. That's true.

(1:48:18) Honestly, I was thinking about it cuz I listed a bunch of stuff and it's kind of a pain in the ass. Yeah, you can get them to do like all the photography and like the initial listings and then just like draft them. So then you can just go in there and do the final review, right? Yeah. Yeah. Yeah.

(1:48:36) I'll uh talk to him about that.