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Browser Use Lets AI Click Through Websites for You
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3 jobs an AI can now do in a real browser — fill a form, extract data to a spreadsheet, and work through a site that has no API. MIT licensed, 111,000 stars.
Browser Use Lets AI Click Through Websites for You
Browser Use has 111,945 stars and matters because most of the internet has no API. Anything you can only do by clicking has been out of reach for automation — this closes that gap.
The project's own first example is a job application: hand it a resume and let it complete the form. Anything repetitive and form-shaped — applications, listings, data entry — is the same shape of problem.
The second example the project gives is pulling structured data and exporting it as a CSV. For anyone who has copied rows out of a dashboard by hand, this is the more valuable half.
An agent that can click can also click the wrong thing. It operates a real browser with real sessions, so anything it can reach while logged in, it can act on.
Pros
Cons
Install Python 3.12
The project's own quickstart pins this version.
Install browser-use
Follow the repository quickstart — it can even set itself up from a prompt in an existing agent.
Try one read-only task
Extract something before you let it submit anything.
Use a test account
Only point it at a real logged-in session once you have watched it work.
The library is MIT licensed and free. It needs a language model behind it, and that model is what costs money.
It depends on that site's terms of service. Automating your own accounts and public data is usually fine; scraping a service that forbids it is not.
It can operate a browser you are already logged into. Anything needing a one-time code still needs you, which is a sensible place for a human to stay in the loop.
It runs a real browser, so it wants a few gigabytes of RAM free. The model work happens over the network, not on your machine.
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AICreatorHub Team
The AICreatorHub editorial team is a group of hands-on AI practitioners, writers and developers based in India. We test AI tools and models ourselves, track official releases from OpenAI, Anthropic, Google, Meta and xAI, and translate them into simple, India-first guides in English and Hindi. Every article is written for real Indian use cases — pricing in rupees, free-tier tips and practical, tested steps — so you get accurate, up-to-date and genuinely useful AI information.