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scrapecraft

ScrapeGraphAI/scrapecraft

AI-powered web scraping editor with visual workflow builder

GraphCanon updated Aug 12, 2026 · GitHub synced Aug 12, 2026

25views this month

680 stars106 forksLast push Dec 26, 2025 Python MIT

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

Verify the decision

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
PyPI

How it fits your stack(1)

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Relationship graph

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Similar tools

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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.

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