Website Crawler Concurrency
Crawler concurrency controls how many web pages are fetched and indexed simultaneously without overwhelming the target website’s server.
Crawler concurrency is the rate at which an automated web crawler dispatches parallel HTTP requests to discover, extract, and index multiple URLs simultaneously.
How Crawler Concurrency works in practice
Crawling a 500-page site sequentially at 1 page/sec takes over 8 minutes. Concurrent crawling fetches 10–20 pages in parallel, reducing crawl times to under 30 seconds.
Responsible crawlers respect `robots.txt`, follow rate-limit backoffs (429 status codes), and limit socket concurrency to prevent server throttling.
How SiteMind implements Crawler Concurrency
SiteMind uses an intelligent crawler pipeline that automatically scales concurrency, parses XML sitemaps, and ingests multi-page websites in under 2 minutes.
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Related Technical Concepts
Sitemap XML Ingestion
Sitemap XML ingestion allows an AI crawler to discover and index all authoritative URLs published in a website’s `sitemap.xml` file.
Headless Browser vs Cheerio Crawling
Cheerio provides ultra-fast static HTML parsing, while headless Playwright browsers execute JavaScript to extract dynamic client-rendered single-page apps.
Semantic Chunking
Semantic chunking breaks long documents and web pages into focused, self-contained sections so retrieval systems can pull exact answers without token bloat.
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