Automatisierung
JamAIBase
The collaborative spreadsheet for building AI apps, cell by cell.
★ 1,1 Tsd. SterneApache-2.0
Anleitung ansehen →PyScrappy ist ein Open-Source-Projekt aus der Kategorie Automatisierung von mldsveda (mldsveda/PyScrappy auf GitHub). Es hat 260 Sterne auf GitHub und 82 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 25. September 2026 auf GitHub aktualisiert.
Self-healing web scraping for AI agents, plus an MCP server.
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/mldsveda/PyScrappy.git
cd PyScrappyCreate a virtual environment and install the requirements.
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtStart the app or CLI and follow the README examples.
python main.py --helpIt is an open-source project at mldsveda/PyScrappy with 82 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.
AI-native web scraper in a single binary — a Firecrawl alternative.
Free self-hosted AI video generator — multi-scene video with narration.
An MCP server bringing AgentQL web data extraction to agents.
MCP server giving AI agents direct access to Search Console and analytics.
Stealth Chromium browser designed for web scraping and AI agents.
Die anderen Projekte der Kategorie Automatisierung mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls PyScrappy nicht das Richtige ist.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
Langflow — the visual builder for AI agents and workflows: drag-and-drop flows over LangChain components, deployed as APIs or MCP tools, MIT-licensed
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
Flowise — build AI agents visually: an open-source drag-and-drop UI over LangChain and LlamaIndex, with chatflows, agentflows and a marketplace of templates
Create agents that monitor and act on your behalf. Your agents are standing by!
Verwandte Projekte der Kategorie Automatisierung im Katalog, die PyScrappy bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Opresume, in TypeScript — built for 优派简历 opresume - a free, open-source, local-first, p...
Stealth Chromium browser designed for web scraping and AI agents.
An AI-friendly spreadsheet that speaks Excel and agents.
Open source lead generation and marketing automation.
Drag-and-drop builder for custom AI workflows across your favorite models.
Local-first AI resume workbench: tailored resumes, mock interviews, tracking.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.