GraphCanon updated Aug 12, 2026 · GitHub synced Aug 12, 2026
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Decision brief
Scrapecraft is an AI-powered web scraping editor that uses natural language inputs to build, test, and deploy scrapers.
Good fit when
- When you need to simplify the creation of complex web scraping tasks through visual workflow builders and natural language commands.
- When your project benefits from ScrapeGraphAI integration for improving efficiency and accuracy in scraping.
Avoid when
- If your team requires more granular control over scraper logic, as Scrapecraft's reliance on AI and visual workflows might lack some fine-tuning options available in code-based scrapers.
- For projects where security or sensitive data handling is a concern, if the proprietary algorithms of ScrapeGraphAI do not meet your specific compliance needs.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (228d since push)
- As of Aug 12, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 12, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install scrapecraft PyPIHow it fits your stack(1)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
An AI-driven tool for creating, testing and deploying web scrapers using natural language inputs
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Aug 12, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Aug 12, 2026
- Languages
- python
Source: github.language · Aug 12, 2026
Categories
Tags
README
Quick Start with Docker 1. Clone the repository 2. Set up environment variables Edit the file and add your API keys: : Get from OpenRouter : Get from ScrapeGraphAI 3. Start the application with Docker 4. Access the application Frontend: http://localhost:3000 API: http://localhost...
For agents
This page has a .md twin and JSON over the API.