head to head · open source
Scrapling vs proxy_pool
Scrapling has 92,628 GitHub stars, 9,759 forks, 6 open issues and last shipped yesterday. proxy_pool has 23,778 stars, 5,418 forks, 298 open issues and last shipped 5 months ago. Scrapling leads on adoption by 290% (92,628 vs 23,778 stars). Scrapling is written in Python under BSD-3-Clause; proxy_pool is written in Python under MIT. Scrapling has attracted 11% as many forks as stars, proxy_pool 23%. Scrapling 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
| Scrapling | proxy_pool | |
|---|---|---|
| GitHub stars | ★ 93K | ★ 24K |
| License | BSD-3-Clause | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-06-15 |
| Forks | ⑂ 9.8K | ⑂ 5.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Scrapling if
- You weight community size — 93K 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 Scrapling
Effortless Web Scraping for the Modern Web Selection methods · Fetchers · Spiders · Proxy Rotation · CLI · MCP Scrapling is an adaptive Web Scraping framework that handles everything from a single request to a full scale crawl. Its parser learns from website changes and automatically relocates your elements when pages update. Its fetchers bypass anti bot systems like Cloudflare Turnstile out of the box. And its spider framework lets you scale up to concurrent, multi session crawls with pause/resume, automatic proxy rotation, and a crawl speed that adapts to how fast each…
read the full Scrapling 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 Scrapling or proxy_pool more popular?
Scrapling has 92,628 GitHub stars and proxy_pool has 23,778. Scrapling has the larger community by that measure.
Are Scrapling and proxy_pool free?
Both are open source. Scrapling is licensed under BSD-3-Clause and proxy_pool under MIT. Neither carries a licence fee.
What is the difference between Scrapling and proxy_pool?
Scrapling 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, Scrapling or proxy_pool?
Choose Scrapling if you want the larger community (92,628 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.