Scrapecraft

Visit Tool

Scrapecraft is an AI-powered web scraping editor that helps developers build, test, and deploy web scrapers using natural language. It features a visual workflow builder and supports multi-URL bulk scraping with real-time WebSocket streaming.

Claim this tool

No Views Yet

At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is scrapecraft?

Scrapecraft is an AI-powered web scraping editor designed to simplify the creation and management of web scraping pipelines. It offers a visual workflow builder, allowing users to intuitively design their scraping processes. Leveraging AI assistance, similar to tools like Cursor but specialized for web scraping, Scrapecraft enables users to build, test, and deploy scrapers using natural language prompts. Key features include support for multi-URL bulk scraping, dynamic schema definition with Pydantic, and Python code generation with async capabilities. The platform also provides real-time WebSocket streaming for data and offers results visualization in table and JSON formats. Built with a robust tech stack including FastAPI, LangGraph, ScrapeGraphAI, React, and PostgreSQL, Scrapecraft also supports auto-updating deployments via Watchtower, ensuring continuous operation without manual intervention.

Best used for

Ideal for developers and data scientists who need to build, test, and deploy web scrapers using natural language. Especially valuable for automating data extraction from multiple URLs, defining dynamic schemas, and visualizing scraped data in real-time.

Common actions

build web scrapers

automate data extraction

generate scraping code

manage scraping workflows

face swapping"AI Agents"github copilotautomated workflowlow-code/no-codeworkflowsdeepfakeopen-sourcecollaboration

Capabilities

Key features

AI-powered assistant
Visual workflow builder
Multi-URL bulk scraping
Dynamic schema definition
Python code generation
Real-time WebSocket streaming
Results visualization

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What AI models does Scrapecraft use for its assistant?

Scrapecraft's AI-powered assistant utilizes the OpenRouter platform, specifically leveraging the Kimi-k2 model. This integration allows users to interact with the tool using natural language to build and manage their web scraping pipelines effectively.

What are the prerequisites for running Scrapecraft?

To run Scrapecraft, you need Docker and Docker Compose installed. Additionally, you must obtain API keys from OpenRouter and ScrapeGraphAI, which are essential for the AI assistant and scraping functionalities, respectively.

How does Scrapecraft handle automatic updates?

Scrapecraft includes Watchtower for automatic updates. This feature allows the application to detect and update Docker containers automatically when new images are pushed to your registry, minimizing manual intervention and ensuring the tool stays current.

Trending

Subcategories trending in Coding & Development

Open Source & Models Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs

Trending

Also listed in

This tool also appears in

Data & Analytics › Web Scraping & Extraction AI Agents & Automation › Workflow Agents Productivity & Business › Workflow Automation

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce