Collaborate with Developer of Cost-Effective Amazon Data Scraper

Published on 05/30/2025KOL Promotion Opportunities

Okay, based on the Reddit post and comments, here's an analysis of potential collaborators and suggestions:

Overall Analysis: The developer's post about their more affordable Amazon web scraper has sparked interest, especially from those with experience in web scraping or related fields. This opens up opportunities for collaborations that can provide genuine testimonials, technical feedback, and access to niche communities.


Potential Collaborators & Suggestions:

  1. The Experienced Scraper (Commenter 1: "Cool! I’ve got a lot of experience scraping difficult grocery websites...")

    • Who: An individual with proven experience in web scraping, particularly with challenging grocery websites like Albertsons. This indicates technical proficiency and an understanding of the complexities in the scraping domain.
    • Why a good fit: They understand the pain points of scraping and can appreciate the value of a more affordable, effective tool. Their experience with "difficult" sites means they can rigorously test the tool's robustness.
    • Collaboration Suggestions:
      • Technical Review & Testimonial: Offer them free access to your tool in exchange for an honest, detailed technical review. They could compare its ease of use, effectiveness (especially against Amazon's anti-scraping measures), and cost-effectiveness against tools they've used or know.
      • Comparative Case Study: If they are willing, they could run a small project using your tool for Amazon and perhaps compare the process and results to their experience with other sites or general scraping tools.
      • Beta Tester for Advanced Features: If you plan to add features to handle more complex scraping scenarios, they could be an invaluable beta tester.
    • Expected Benefits:
      • For You: Credible, technically sound testimonial; constructive feedback for product improvement; potential content (blog post, forum review) from their experience.
      • For Them: Early access to a new, potentially cost-saving tool; content for their own channels if they are a creator/blogger; recognition as an expert reviewer.
  2. The Industry Veteran (Commenter 3: "So I used to do this for a living, for the largest scraper of product information across the internet...")

    • Who: Someone with past professional experience at a major product information scraping company, servicing large brands. This person likely has deep insights into enterprise-level scraping, challenges with Amazon at scale, and the commercial aspects.
    • Why a good fit: Their experience lends immense credibility. They understand the market, the technical hurdles at scale, and what large clients look for.
    • Collaboration Suggestions:
      • Advisory/Feedback Session: Reach out for a brief chat to get their high-level perspective on your tool's positioning, potential challenges at scale, and market fit, especially concerning B2B clients.
      • Guest Blog Post/Interview (if they are open to it): If they have any public presence or are willing to share insights, an interview or guest post on "The Evolution of Amazon Scraping" or "Challenges in Enterprise Data Extraction" featuring your tool as a new solution could be powerful.
      • Strategic Introduction (long-shot): If they are well-connected, they might offer introductions to businesses or individuals who could benefit from your tool.
    • Expected Benefits:
      • For You: Invaluable strategic insights; potential high-level endorsement or introductions; understanding of enterprise needs.
      • For Them: Opportunity to share their expertise; potentially a consulting opportunity if your tool grows significantly.
  3. The Fellow Builder / Affiliate Marketer (Commenter 13: "I just built the same thing as part of an affiliate link checker I’m working on...")

    • Who: A developer actively building a similar Amazon scraping component for an affiliate link checker. They are experiencing the "funkiness" of Amazon scraping firsthand.
    • Why a good fit: They are your direct target audience – someone needing Amazon data who is currently building/maintaining their own solution. They can directly compare the effort/cost of their solution versus yours.
    • Collaboration Suggestions:
      • Tool Replacement & Case Study: Offer them extended free access or a significant discount to use your tool instead of maintaining their own scraper. If they agree, work with them to create a case study: "How [Their Project Name] Saved X Hours/X% Cost by Switching to [Your Tool Name] for Amazon Data."
      • Affiliate Partnership: If their affiliate link checker gains traction, they could become an affiliate for your tool, recommending it to their users who might also need standalone Amazon data.
      • Integration Feedback: If they try your tool, they can provide feedback on API ease-of-use and integration.
    • Expected Benefits:
      • For You: A highly relevant case study demonstrating clear ROI; potential affiliate partner; feedback from a user who deeply understands the problem.
      • For Them: Saves them development and maintenance time on their scraping component; potentially a more robust and cheaper solution; affiliate revenue.

General Approach for Outreach:

  • Engage with them directly in the Reddit thread first, thanking them for their comment and insight.
  • Then, send a polite DM: "Hey [Username], thanks for your comment on my Amazon scraper post. Your experience with [mention their specific point, e.g., 'scraping Albertsons' or 'working for a large scraper company' or 'building an affiliate checker'] sounds really interesting. I'd love to [propose specific collaboration idea, e.g., 'offer you a trial for feedback' or 'chat briefly about your insights']. Let me know if you're open to it!"
  • Be clear about what you're offering and what you're hoping to gain, emphasizing mutual benefit.

By targeting these individuals, you can leverage their specific expertise and situations to generate authentic buzz, gather crucial feedback, and create compelling content that resonates with your target market.

Origin Reddit Post

r/sideproject

I built a tool to get Amazon data that’s 3 times cheaper than alternatives

Posted by u/ScoutAPI05/30/2025
Hey everyone! I’ve been building an Amazon web scraper to get product data. When I was trying to get Amazon data for a different side project I was working on, I noticed that the options see

Top Comments

u/pattyd14
Cool! I’ve got a lot of experience scraping difficult grocery websites - believe it or not, Albertsons grocery chains are notoriously hard to scrape and not supported by most scraping service
u/lmericle
Why are the numeric values given as strings here? I am not experienced with web APIs so maybe this is common but doesn't make much sense to me.
u/King_Dragonhoff
Where did you hear that? Why would a string be desirable over a number for a numeric value?
u/Silentkindfromsauna
It's a json response
u/Silentkindfromsauna
Type consistency, preserves formatting and ensures cross operability across all languages.
u/statuscode9xx
FYI there’s an API for product data https://webservices.amazon.com/paapi5/documentation/
u/ScoutAPI
I’ve found the most success with international marketplaces when using IPs that come from the respective country, and combining that with the accept-language header that matches the language
u/IWishToSleep
For the basic plan: why is the rate limit 1000reqs/hr when request limit is 100reqs/mo? Wouldn't it make more sense to have something like 100regs/10mins (6mins if you want to maintain the 10
u/pattyd14
Cool! I’ve got a lot of experience scraping difficult grocery websites - believe it or not, Albertsons grocery chains are notoriously hard to scrape and not supported by most scraping service
u/Silentkindfromsauna
While not outperforming purpose built scrapers we built a general one that works for any website giving you structured data. Dm for beta access.
u/trs21219
So I used to do this for a living, for the largest scraper of product information across the internet with basically every conglomerate of brands as customers... Amazon at a certain point w
u/speedtoburn
💯
u/Best_Maximum_5454
What service do you use for rotating apis?
u/razorfox
How do you get around captcha?
u/Thistlemanizzle
How does the pricing compare to Keepa?
u/MzCWzL
I just built the same thing as a part of an affiliate link checker I’m working on (just did first push to prod an hour ago!). It’s a small part of the puzzle. Already running into some funkin
u/BeefyShark12
I have read somewhere that Amazon has a strict policy when it comes to scraping. Would they be able to detect this?
u/Mrletejhon
This guy scrapes
u/Gaboik
r/thisguythisguys
u/MzCWzL
I just built the same thing as a part of an affiliate link checker I’m working on (just did first push to prod an hour ago!). It’s a small part of the puzzle. Already running into some funkin
u/ScoutAPI
Oh interesting, what makes Albertsons so difficult to scrape? And for your questions, I currently rotate IPs that refresh so requests come from different IPs. This makes it easier for me to
u/BeefyShark12
I have read somewhere that Amazon has a strict policy when it comes to scraping. Would they be able to detect this?
u/trs21219
So I used to do this for a living, for the largest scraper of product information across the internet with basically every conglomerate of brands as customers... Amazon at a certain point w
u/ScoutAPI
Amazon has measures in place to detect scrapers, so you need to have counter measures to avoid detection. I also don’t try bypassing log in pages, which is required for things like the full
u/BelgianGinger80
Eli5?
u/daymanAAaah
I’m interested in doing this in another country (not US). Can you give any more details on your pipeline for scraping and processing the data?
u/ScoutAPI
Oh interesting, what makes Albertsons so difficult to scrape? And for your questions, I currently rotate IPs that refresh so requests come from different IPs. This makes it easier for me to
u/trs21219
We did in exceptional cases but it gets real expensive real quick when you're doing many million checks per day. But we got really good at using normal proxies, or self hosting proxies on sma
u/ScoutAPI
That was one of the first things I looked at. For my use case it wasn’t a good fit because of things like the low rate limit and low request quota, and the need for referral sales.
u/No_Boot2301
Great job on building this tool! It's inspiring to see innovative solutions like yours. Keep up the fantastic work!
u/King_Dragonhoff
Any language or tool that supports JSON should support reading its 64 bit numbers. JSON is meant to be simple and cross-compatible; it only has a few types anyway. As for formatting, that sho
u/BabuShonaMuhMeLoNa
Json supports int and float
u/vishli84000
Just use residential proxies(vpn) instead of normal VPNs. Ofcourse, that is more costly
u/lmericle
Why are the numeric values given as strings here? I am not experienced with web APIs so maybe this is common but doesn't make much sense to me.
u/Silentkindfromsauna
Yes they do, but it's a json response. It's best practice to return string, not int or float.
u/SheriffRat
You can rotating IP's, but I am not sure how well that would work when you send a high volume of requests.
u/Best_Maximum_5454
Albertsons can be difficult for sure. I made a chrome extension that scrapes through the DOM of the search page and sorts by Unit Price for Amazon, Walmart, and Albertsons' brand stores. I'm

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