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How I scraped 4M product pages in 36 hours without getting my IPs burned

Cecilia12

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Last year I had to pull 4M product pages from 28 retailers in 36 hours for a price-intelligence client. On hour six I was already losing half my requests to bot protection.

The classic stack didn't survive contact: Scrapy, datacenter proxies, max concurrency. TLS fingerprinting got us first, then Cloudflare challenges, then the IPs got nuked. I burned two days throwing more concurrency at it — made everything worse.

What actually worked was boring. I dropped to 25 concurrent requests and ramped up slowly while watching error rates — the sensitive sites stayed slow, the easy ones got more threads. For the hardest sites I let a real Playwright browser solve the initial challenge once, then reused the session cookies with a fast HTTP client. And I stopped rotating IPs per request — that screams bot.

I moved to Helodata's residential pool with sticky sessions, holding the same exit IP 10-30 minutes for the checkout-style flows, and the 195+ country coverage meant I didn't need a second provider for the APAC leg.

End result: 4M pages in 41 hours, 99.2% success rate,. The client's pricing model paid for the whole project in their first deal.

What's your rotation strategy for high-volume scrapes in 2026? Sticky, rotating, or hybrid?



Since a few people asked — the proxy provider is https://helodata.com?ref=7s9k2g . Sticky sessions are the key feature for me
 

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