head to head · open source
Browser Use vs social-media-research-skills
Browser Use has 115,022 GitHub stars, 12,661 forks, 421 open issues and last shipped 3 days ago. social-media-research-skills has 2,485 stars, 27 forks, 3 open issues and last shipped 23 days ago. Browser Use leads on adoption by 4,529% (115,022 vs 2,485 stars). Browser Use is written in Python under MIT; social-media-research-skills is written in Python under MIT. Browser Use has attracted 11% as many forks as stars, social-media-research-skills 1%. Browser Use was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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
| Browser Use | social-media-research-skills | |
|---|---|---|
| GitHub stars | ★ 115K | ★ 2.5K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-15 | 2026-08-26 |
| Forks | ⑂ 13K | ⑂ 27 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Browser Use if
- You weight community size — 115K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick social-media-research-skills if
- You want the social-media-research-skills feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and social-media-research-skills fits your workflow better
About Browser Use
Browser Use is an open source Python library and hosted platform that enables AI agents to control web browsers programmatically. It lives in the AI agent and browser automation ecosystem, built on Playwright and designed to let LLMs interact with websites as a human would—clicking, filling forms, solving CAPTCHAs, and navigating dynamic interfaces. The project provides three deployment paths: a fully hosted cloud service, a command line interface for existing agents, and a local Python library for custom integrations.
read the full Browser Use overview →
About social-media-research-skills
Social Media Research Skills for AI Agents Practical AI agent skills for social media research, powered by ScrapeCreators. These skills help agents find outlier posts, mine comments, summarize transcripts, tear down competitors, analyze ad libraries, and turn public social data into useful business artifacts. This is not just endpoint routing. The goal is to give your AI agent complete research workflows it can run across TikTok, Instagram, YouTube, Reddit, X/Twitter, LinkedIn, Facebook, Threads, Bluesky, Pinterest, Rumble, ad libraries, and more. Install Works with Claude Code, Cursor, OpenAI Codex, GitHub Copil…
read the full social-media-research-skills overview →
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Frequently asked questions
Is Browser Use or social-media-research-skills more popular?
Browser Use has 115,022 GitHub stars and social-media-research-skills has 2,485. Browser Use has the larger community by that measure.
Are Browser Use and social-media-research-skills free?
Both are open source. Browser Use is licensed under MIT and social-media-research-skills under MIT. Neither carries a licence fee.
What is the difference between Browser Use and social-media-research-skills?
Browser Use is written in Python and social-media-research-skills 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, Browser Use or social-media-research-skills?
Choose Browser Use if you want the larger community (115,022 stars) or its MIT licence terms. Choose social-media-research-skills if its feature set, stack or MIT licence fits better. Both are self-hostable.