Телеграм канал «ProxySeller»

🤔 Picking a proxy type: the short version

Two mismatches we see most often:

1️⃣ Datacenter on a protected target. Uptime may be stable, but the response rate is plummeting. You add IPs, nothing changes.
2️⃣ Residential on a public API. It works, but costs several times more than it needs to.

There's also a third mismatch, and it's hard to catch: some targets don't error at all. They return rankings and prices for the server's location rather than the market you're tracking. Nothing will show up in the logs and the decision comes down to use case and geo precision.

💡Use our comparison table to save you a debugging session.


👉 Pick the type your target needs: https://proxy-seller.com/

🎥 New tutorial: building a web scraper that doesn’t get blocked and holds up at scale using AdsPower × Proxy-Seller.

Sites always check two layers: your browser fingerprint and your IP. If you only fix one, the other gives you away. Also, what really bites you at scale is if your profiles share an IP or even a subnet, they get correlated and banned as a batch. A unique fingerprint won't save you.

So, our solution is:

• AdsPower for a separate, isolated browser identity per profile
• Proxy-Seller for a separate, clean IP per profile (static ISP or rotating residential)
• AdsPower Local API to run it all from code (Python + Selenium)

We ran it live on books.toscrape.com (a practice sandbox), then scaled to several profiles in parallel, each on its own IP.

📹Watch here 👇
https://youtu.be/vSpcbzQAGJg?si=EhMsLNTLAeNHU3EF

🎁Bonus: scripts are in the description.