head to head · open source

Scrapling vs Steel

Scrapling has 82,464 GitHub stars, 8,405 forks, 6 open issues and last shipped yesterday. Steel has 7,668 stars, 982 forks, 68 open issues and last shipped 4 days ago. Scrapling leads on adoption by 975% (82,464 vs 7,668 stars). Scrapling is written in Python under BSD-3-Clause; Steel is written in TypeScript under Apache-2.0. Scrapling has attracted 10% as many forks as stars, Steel 13%. Scrapling was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), 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.

Scrapling ★ 82K Steel ★ 7.7K category Data & Analytics

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Side by side

Scrapling Steel
GitHub stars ★ 82K ★ 7.7K
License BSD-3-Clause Apache-2.0
Written in Python TypeScript
Last push 2026-09-19 2026-09-16
Forks ⑂ 8.4K ⑂ 982
Self-hosting Yes Yes
Data ownership Your server Your server

pick Scrapling if

  • You weight community size — 82K 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

full Scrapling profile →

pick Steel if

  • You want the Steel feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and Steel fits your workflow better

full Steel profile →

About Scrapling

Scrapling is an adaptive Python web scraping framework for developers, data teams, and regular users who need anything from a single request to a full scale crawl without rewriting selectors every time a site changes.

read the full Scrapling overview →

About Steel

Steel is an open source, Apache 2.0 licensed browser API written in TypeScript that gives AI agents and applications cloud browser sessions, so teams can automate the web without building browser infrastructure from scratch.

read the full Steel overview →

More in Data & Analytics

Browser Use ★ 115K Mermaid ★ 90K Crawl4AI ★ 84K Apache Superset ★ 75K echarts ★ 67K scrapy ★ 64K

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browser-use vs scrapling playwright vs scrapling crawl4ai vs scrapling scrapling vs clickhouse scrapling vs apache-pinot firecrawl vs scrapy firecrawl vs crawlee browser-use vs crawl4ai playwright vs crawl4ai browser-use vs scrapy 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 apache-superset vs clickhouse mermaid vs apache-pinot clickhouse vs duckdb crawl4ai vs apache-pinot

More Data Extraction & Web Scraping projects

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

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

Frequently asked questions

Is Scrapling or Steel more popular?

Scrapling has 82,464 GitHub stars and Steel has 7,668. Scrapling has the larger community by that measure.

Are Scrapling and Steel free?

Both are open source. Scrapling is licensed under BSD-3-Clause and Steel under Apache-2.0. Neither carries a licence fee.

What is the difference between Scrapling and Steel?

Scrapling is written in Python and Steel in TypeScript. 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 Steel?

Choose Scrapling if you want the larger community (82,464 stars) or its BSD-3-Clause licence terms. Choose Steel if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.