head to head · open source

proxy_pool vs icrawler

proxy_pool has 23,717 GitHub stars, 5,418 forks, 298 open issues and last shipped 3 months ago. icrawler has 933 stars, 181 forks, 31 open issues and last shipped 9 months ago. proxy_pool leads on adoption by 2,442% (23,717 vs 933 stars). proxy_pool is written in Python under MIT; icrawler is written in Python under MIT. proxy_pool has attracted 23% as many forks as stars, icrawler 19%. proxy_pool was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (crawler, spider), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

proxy_pool ★ 24K icrawler ★ 933 category Data & Analytics

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Side by side

proxy_pool icrawler
GitHub stars ★ 24K ★ 933
License MIT MIT
Written in Python Python
Last push 2026-06-15 2025-12-10
Forks ⑂ 5.4K ⑂ 181
Self-hosting Yes Yes
Data ownership Your server Your server

pick proxy_pool if

  • You weight community size — 24K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full proxy_pool profile →

pick icrawler if

  • You want the icrawler feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and icrawler fits your workflow better

full icrawler profile →

About proxy_pool

proxy pool is a self hosted Python proxy IP pool for web spiders that continuously collects, checks, and serves rotating HTTP proxies from public free proxy sources through a Redis backed pool.

read the full proxy_pool overview →

About icrawler

icrawler is an MIT licensed Python framework for building multi thread crawlers, shipping ready made crawlers for Google, Bing and Baidu image search plus Flickr, and is aimed at developers who need to harvest image or media datasets without writing their own threading, retry and queueing code.

read the full icrawler overview →

More in Data & Analytics

Browser Use ★ 115K Mermaid ★ 90K Crawl4AI ★ 84K Scrapling ★ 82K Apache Superset ★ 75K echarts ★ 67K

Related comparisons

firecrawl vs scrapy firecrawl vs crawlee browser-use vs crawl4ai browser-use vs scrapling playwright vs crawl4ai browser-use vs scrapy playwright vs scrapling crawl4ai vs scrapling godot vs pixijs mermaid vs apache-superset three-js vs pixijs supabase vs metabase mermaid vs echarts grafana vs apache-superset apache-superset vs echarts mermaid vs metabase mermaid vs clickhouse crawl4ai vs clickhouse scrapling vs clickhouse apache-superset vs clickhouse mermaid vs apache-pinot clickhouse vs duckdb crawl4ai vs apache-pinot scrapling vs apache-pinot

More Data Extraction & Web Scraping projects

Compare either of these against the rest of the Data Extraction & Web Scraping field.

proxy_pool vs Browser Use proxy_pool vs Crawl4AI proxy_pool vs Scrapling proxy_pool vs scrapy proxy_pool vs EasySpider proxy_pool vs Lightpanda proxy_pool vs changedetection.io proxy_pool vs lux proxy_pool vs CloakBrowser proxy_pool vs Scrapegraph-ai proxy_pool vs crawlee proxy_pool vs colly

Frequently asked questions

Is proxy_pool or icrawler more popular?

proxy_pool has 23,717 GitHub stars and icrawler has 933. proxy_pool has the larger community by that measure.

Are proxy_pool and icrawler free?

Both are open source. proxy_pool is licensed under MIT and icrawler under MIT. Neither carries a licence fee.

What is the difference between proxy_pool and icrawler?

proxy_pool is written in Python and icrawler in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, proxy_pool or icrawler?

Choose proxy_pool if you want the larger community (23,717 stars) or its MIT licence terms. Choose icrawler if its feature set, stack or MIT licence fits better. Both are self-hostable.