When scraping data, do you often encounter situations where your IP is blocked shortly after starting, forcing the entire project to stop?
This is actually due to the anti-scraping mechanisms of the target websites. When they detect high-frequency access from the same IP, they automatically block it. At this point, simply optimizing request headers or setting delays often only provides temporary relief.
The solution is actually quite simple: use high-quality proxy IPs.
By rotating IPs through a proxy pool, your requests will be distributed across hundreds of different IP addresses, making the target website think that they are from legitimate users in different regions, thus significantly reducing the risk of being blocked.
When choosing a proxy service, we recommend focusing on:
IP Quality: Prefer real residential IPs
Stability: Ensure long-term availability
Coverage: Support the region where the target website is located
For example, PiaProxy's residential proxy network covers the globe, effectively circumventing anti-scraping detection and providing stable protection for your data scraping projects.
What other problems have you encountered in data scraping? Welcome to discuss solutions together.
This is actually due to the anti-scraping mechanisms of the target websites. When they detect high-frequency access from the same IP, they automatically block it. At this point, simply optimizing request headers or setting delays often only provides temporary relief.
The solution is actually quite simple: use high-quality proxy IPs.
By rotating IPs through a proxy pool, your requests will be distributed across hundreds of different IP addresses, making the target website think that they are from legitimate users in different regions, thus significantly reducing the risk of being blocked.
When choosing a proxy service, we recommend focusing on:
For example, PiaProxy's residential proxy network covers the globe, effectively circumventing anti-scraping detection and providing stable protection for your data scraping projects.
What other problems have you encountered in data scraping? Welcome to discuss solutions together.
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