GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Scrapegraph-ai is a Python-based AI-driven web scraping tool designed for data extraction and web search, offering an alternative to traditional scraping methods with its AI capabilities.
Good fit when
- When you need advanced AI-driven scraping capabilities that can adapt to complex web structures and extract data more intelligently than traditional scrapers.
- If you are looking for a tool that can perform web searches and data extraction simultaneously, enhancing the efficiency of your data gathering process.
Avoid when
- If your project requires a more lightweight solution, as Scrapegraph-ai's AI features might introduce additional overhead.
- When your scraping needs are simple and do not require the sophisticated AI capabilities that Scrapegraph-ai offers, opting for a simpler tool might be more efficient.
- Pricing:
- freemium - Free to use under the MIT License, with no explicit mention of paid features in the repository.
- Requirements:
- Min 2 GB RAM; Requires Python environment to run.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (10d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install Scrapegraph-aiHow it fits your stack(13)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Python-based AI-driven web scraping tool for data extraction and web search.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 18, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 18, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
pip install scrapegraphaiSource link
Tags
README
🚀 Quick install The reference page for Scrapegraph ai is available on the official page of PyPI: pypi. ```bash pip install scrapegraphai 📜 License ScrapeGraphAI is licensed under the MIT License. See the LICENSE file for more information.
For agents
This page has a .md twin and JSON over the API.