n8n-ai-automations
Ready-made n8n workflows and AI agents to import, study, and adapt.
rayobrowse ist ein Open-Source-Projekt aus der Kategorie Automatisierung von rayobyte-data (rayobyte-data/rayobrowse auf GitHub). Es hat 210 Sterne auf GitHub und 14 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 5. Juli 2026 auf GitHub aktualisiert.
Stealth Chromium browser designed for web scraping and AI agents.
Pull the latest changes to stay current with fixes.
Decide what you want rayobrowse to do first — stealth Chromium browser designed for web scraping and AI agents.
Change the config to match your workflow, then run it daily.
The README documents setup; start with the install section.
Coordinates multi-step agent behavior.
Working anti bot detection support built in.
Working antidetect browser support built in.
Working bot detection support built in.
Readable code that is easy to modify.
Use it freely, even commercially.
Download the source and move into the project folder.
git clone https://github.com/rayobyte-data/rayobrowse.git
cd rayobrowseInstall the Python dependencies from the project.
pip install -r requirements.txtLaunch with the project entry point — check the README for the exact command.
python main.py # see README for the exact entry pointYes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under MIT. Read the LICENSE file in the repo for the exact terms.
That depends on the feature. Local-capable parts run offline; anything calling a cloud API needs a connection. Check the docs.
Ready-made n8n workflows and AI agents to import, study, and adapt.
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Verwandte Projekte der Kategorie Automatisierung im Katalog, die rayobrowse bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.