WaterCrawl is a powerful open source web crawler tool specifically designed to extract data from web pages and transform it into formatted data suitable for Large Language Model (LLM) processing. It is developed based on the Python technology stack and combines frameworks such as Django, Scrapy and Celery to achieve efficient web crawling and data processing capabilities.
The core objectives of the tool include:
- Simplify the web data extraction process and lower the technical threshold
- Provides standardized data output suitable for LLM processing
- Supports efficient collection of large-scale web content
- Functional extension through plug-in system
It is mainly aimed at development teams and enterprise users who need to handle large amounts of web content, and is particularly suitable for professional scenarios such as AI training data preparation and market research analysis.
This answer comes from the articleWaterCrawl: transforming web content into data usable for large modelsThe
