head to head · open source
scrapy vs proxy_pool
scrapy has 65,180 GitHub stars, 12,093 forks, 394 open issues and last shipped yesterday. proxy_pool has 23,778 stars, 5,418 forks, 298 open issues and last shipped 5 months ago. scrapy leads on adoption by 174% (65,180 vs 23,778 stars). scrapy is written in Python under BSD-3-Clause; proxy_pool is written in Python under MIT. scrapy has attracted 19% as many forks as stars, proxy_pool 23%. scrapy was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (crawler), 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.
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Side by side
| scrapy | proxy_pool | |
|---|---|---|
| GitHub stars | ★ 65K | ★ 24K |
| License | BSD-3-Clause | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-06-15 |
| Forks | ⑂ 12K | ⑂ 5.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick scrapy if
- You weight community size — 65K stars and counting
- You want the BSD-3-Clause license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick proxy_pool if
- You want the proxy_pool feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and proxy_pool fits your workflow better
About scrapy
.. logo image:: :target: :alt: Scrapy :width: 480px .. version image:: :target: :alt: PyPI Version .. python version image:: :target: :alt: Supported Python Versions .. tests image:: :target: :alt: Tests .. coverage image:: :target: :alt: Coverage report .. conda image:: :target: :alt: Conda Version .. deepwiki image:: :target: :alt: Ask DeepWiki Scrapy is a web scraping framework to extract structured data from websites. It is cross platform, and requires Python 3.10+. It is maintained by Zyte (formerly Scrapinghub) and many other contributors . .. many other contributors: .. Scrapy: .. Zyte: Install with…
read the full scrapy overview →
About proxy_pool
ProxyPool 爬虫代理IP池 ======= ( ) 0: try: html = requests.get(' proxies={"http": " 使用代理访问 return html except Exception: retry count = 1 删除代理池中代理 delete proxy(proxy) return None python from fetcher.baseFetcher import BaseFetcher from util.webRequest import WebRequest class MyProxyFetcher(BaseFetcher): """我的代理源""" name = "myproxy" url = " enabled = True def fetch(self): r = WebRequest().get(" for item in r.json: yield item["ip"] + ":" + item["port"] 2、添加好后， schedule 进程下次抓取时会自动扫描 fetcher/sources/ 目录并启用新代理源，无需修改配置。 可用 python proxyPool.py fetcher 命令查看当前启用的代理源列表。 如需临时禁用某个代理源，在 setting.py 的 PROXY FETCHER EXCLUDE 黑名单中添加其…
read the full proxy_pool overview →
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Frequently asked questions
Is scrapy or proxy_pool more popular?
scrapy has 65,180 GitHub stars and proxy_pool has 23,778. scrapy has the larger community by that measure.
Are scrapy and proxy_pool free?
Both are open source. scrapy is licensed under BSD-3-Clause and proxy_pool under MIT. Neither carries a licence fee.
What is the difference between scrapy and proxy_pool?
scrapy is written in Python and proxy_pool 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, scrapy or proxy_pool?
Choose scrapy if you want the larger community (65,180 stars) or its BSD-3-Clause licence terms. Choose proxy_pool if its feature set, stack or MIT licence fits better. Both are self-hostable.