Analysis updated 2026-05-18
Automate scraping data from LinkedIn profiles or pages using CrewAI agents.
Monitor product prices on e-commerce websites automatically.
Automate filling out and submitting online job applications.
Run competitor research or lead generation tasks through browser automation.
| kennywayn3/crewai-browser-automation-skills-pack | 0xhassaan/nn-from-scratch | 3ks/embedoc | |
|---|---|---|---|
| Stars | 0 | 0 | — |
| Language | Python | Python | Python |
| Last pushed | — | — | 2023-06-08 |
| Maintenance | — | — | Dormant |
| Setup difficulty | moderate | moderate | hard |
| Complexity | 3/5 | 4/5 | 1/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires an existing CrewAI project, usage examples in the README are minimal.
CrewAI Browser Automation Skills Pack is a set of pre-built skills for CrewAI, a framework for building AI agents that work together in defined roles. This pack adds ready-made abilities for automating tasks in a web browser, including filling out forms, extracting data from pages, navigating through multi-step processes, handling login and authentication, and using strategies meant to avoid being detected and blocked by websites. Under the hood it combines browser-use and Playwright, both tools for controlling a web browser programmatically, with CrewAI's system of assigning agents specific roles and responsibilities. The README lists several example use cases the skills pack is meant to support: scraping data from LinkedIn, monitoring prices on e-commerce sites, automating job applications, researching competitors, and generating sales leads. According to the README, this project was built in response to community feedback, specifically citing a highly upvoted Reddit discussion about reliability problems with browser-use, and another about a lack of ready-made skills in the CrewAI ecosystem. The stated goal is to address both gaps by packaging tested browser automation patterns as reusable CrewAI skills rather than requiring each user to build them from scratch. Installing it is done through CrewAI's own skills installer with a single command, after which you add the skill's name to your agents configuration file to make it available to your CrewAI agents. The README's usage and examples sections are brief and do not walk through a full working example, so some trial and error may be needed to apply it to a specific automation task. The project is released under the MIT license, a permissive license that allows free use, including in commercial projects.
A pack of pre-built CrewAI skills for browser automation tasks like form filling, data scraping, and login handling using browser-use and Playwright.
Mainly Python. The stack also includes Python, CrewAI, Playwright.
MIT license: use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.