ScrapeGraphAI

Data analysisContent creationSupports open-source models

What is ScrapeGraphAI?

ScrapeGraphAI is a Python library for web scraping using LLMs and graph logic. It extracts structured data from websites and local documents. The library supports multiple scraping pipelines and LLM integrations. It is designed for AI applications, data analysis, and dataset creation. ScrapeGraphAI simplifies data extraction with minimal setup.

Features

AI-powered extraction for websites and local content

Multiple scraping pipelines for diverse use cases

Integration with OpenAI, Groq, Azure, and Gemini

Supports local models via Ollama

Markdown conversion for clean content formatting

Links

Website Documentation GitHub

Pros and Cons of ScrapeGraphAI

Pros

Simplifies web scraping with AI-driven logic

Supports multi-page and multi-source scraping

Flexible integration with various LLMs

Open-source and customizable for developers

Efficient data extraction for AI applications

Cons

Requires setup for local model usage

Dependent on LLM accuracy for extraction

Limited to structured data extraction

ScrapeGraphAI Use Cases

Extracting e-commerce data for market analysis

Scraping news articles for research purposes

Building datasets from web sources

Creating AI-powered scraping platforms

Converting web content to Markdown format

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