How do I handle sites that block based on unusual request patterns?

[Rohan Puri]

Rotating proxies helps distribute traffic and reduces the likelihood of detection based on IP request frequency.

[Herakles Urias]

I use a mix of user-agents and device emulations to simulate requests from various browsers, which can help bypass pattern detection.

[Manoj Fikreta]

Making fewer requests to high-risk pages, like login or profile pages, minimizes suspicion and keeps the scraper running longer.

[Iphigenia Patricius]

Implementing random paths and varying click order can make the interaction flow look less automated, which reduces detection chances.

[Claudius Rebeka]

Introducing human-like behaviors, like small pauses between scrolling and clicking, makes the bot behavior less predictable.

rayobyte.com

How do I handle sites that block based on unusual request patterns? - Rayobyte Community

Adding randomized delays between requests and avoiding repetitive patterns makes the scraper seem more like a human user.

[Jaana Lorn]

Setting the script to take breaks at random intervals mimics real user behavior and helps avoid blocks on monitored sites.

[Iraida Anicetus]

Using dynamic IPs from different locations is another way to vary patterns and reduce detection based on access frequency.