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ScrapeGraphAI
Marco Perini, Lorenzo Padoan, and Marco Vinciguerr
An open-source Python library for Artificial Intelligence-powered web scraping using LLMs
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Open Source

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About ScrapeGraphAI

ScrapeGraphArtificial Intelligence is a Python library that leverages LLMs and graph logic to automate the creation of scraping pipelines for websites, local documents (XML, HTML, JSON), and other data sources. It aims to simplify web scraping by allowing users to specify the information they need in natural language, and the Artificial Intelligence handles the extraction process. The library supports multiple LLMs including GPT, Gemini, Groq, Azure, and local models via Ollama.

AI Categories
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Web Scraper
AI tools that automate the extraction of information from websites.
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Research Assistants
AI tools that assist with research by gathering and analyzing data.
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Information Agents
AI tools designed to collect, filter, and deliver information.
Key Features
Integration with various LLMs
Graph-based scraping pipelines
Adaptive scraping that can handle website structure changes
Support for multiple document formats (HTML XML JSON)
Easy-to-use API with natural language prompts
Flexible deployment options (on-premises cloud)
Use Case
data-mining
Web Scraping
Extract data from websites with AI web scraping tools.
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Integration Methods
API
API
Facilitate smooth data exchange and functionality via APIs.
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