Is ScrapeGraphAI free to use?

Yes, it is an open-source Python library, meaning the code itself is free. However, using LLMs may incur costs from API providers (e.g., OpenAI).

What kind of websites can it scrape?

It can scrape various websites, including dynamic, JavaScript-heavy pages, due to its LLM-driven approach and ability to interpret content.

Does it handle CAPTCHAs or IP blocking?

As a library, it doesn't natively handle these. Users would need to integrate proxy services or CAPTCHA solvers separately if required.

What are the main benefits of using LLMs for scraping?

LLMs allow for more robust data identification, natural language querying, and adaptation to website changes without explicit rule modifications.

ScrapeGraphAI

ScrapeGraphAI is an open-source Python library that uses Large Language Models (LLMs) and graph structures to scrape web data, allowing for highly flexible and intelligent data extraction. It simplifies complex scraping tasks by leveraging AI.

Price: Free

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Description

ScrapeGraphAI is a powerful open-source Python library designed for advanced web scraping, integrating Large Language Models (LLMs) to make data extraction more intelligent and adaptable. Unlike traditional scrapers, it uses a graph-based approach to represent and process web page structures, enabling it to handle dynamic content, identify relevant data points, and extract information based on natural language instructions. It targets developers, data scientists, and researchers who need highly customizable and intelligent scraping solutions, especially for complex websites or when data structure is unpredictable. Its open-source nature and reliance on LLMs for reasoning give it a significant edge in tackling diverse scraping challenges that rule-based scrapers often struggle with.