general

Concurrent Crawling

Concurrent crawling runs multiple URL fetches in parallel, balancing throughput against politeness by limiting simultaneous connections to any single domain.

A crawler that fetches one URL at a time (sequential) is vastly underutilising network and CPU resources. Concurrent crawling issues multiple requests simultaneously, dramatically increasing throughput. The key constraint is per-domain politeness: while issuing 50 concurrent requests globally is fine when targeting 50 different domains, issuing 50 concurrent requests to a single small website is an aggressive load that will trigger rate limiting or anti-bot defences.

Well-designed crawlers implement per-domain concurrency limits: a global semaphore limits total concurrent fetches (say, 100), while per-domain semaphores limit simultaneous requests to any single host (say, 2–5). Scrapy implements this via `CONCURRENT_REQUESTS_PER_DOMAIN` and Crawl-delay settings.

For website compatibility, low per-domain concurrency is often essential: sites that detect more than N requests per second from a session will trigger challenges. Staying below this threshold — even at the cost of lower throughput — is preferable to being blocked.

What is Concurrent Crawling?

Concurrent crawling runs multiple URL fetches in parallel, balancing throughput against politeness by limiting simultaneous connections to any single domain.

How does AlterLab handle Concurrent Crawling?

For website compatibility, low per-domain concurrency is often essential: sites that detect more than N requests per second from a session will trigger challenges. Staying below this threshold — even at the cost of lower throughput — is preferable to being blocked.

Related Terms

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