Automation
JamAIBase
The collaborative spreadsheet for building AI apps, cell by cell.
★ 1.1k starsApache-2.0
View guide →AI-native web scraper in a single binary — a Firecrawl alternative.
WebReaper is an open-source automation project by alex-on-ai (alex-on-ai/WebReaper on GitHub). It has 149 GitHub stars and 33 forks, is released under the MIT license, and was last updated on GitHub on 4 October 2026.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Exposes its capabilities to AI agents over the Model Context Protocol.
Inspect and extend every part of the pipeline.
Chain steps together without writing boilerplate.
Produces clean, structured data agents can use.
Run the whole stack on your own server.
Drive it programmatically from your own code.
Download the source and move into the project folder.
git clone https://github.com/alex-on-ai/WebReaper.git
cd WebReaperRestore packages and compile with the .NET SDK.
dotnet buildLaunch the app with dotnet.
dotnet run -- --helpIt is an open-source project at alex-on-ai/WebReaper with 33 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is MIT licensed, so you can use it commercially with attribution.
Basic setup is config-driven, but custom scrapers and pipelines benefit from some Python.
It includes stealth techniques, but no tool guarantees success against every site — respect robots.txt and terms of service.
Yes, most setups support cron-style scheduling or webhook triggers.
The collaborative spreadsheet for building AI apps, cell by cell.
Self-healing web scraping for AI agents, plus an MCP server.
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Free and open — grab the source, star the repo, and start creating.