WaterCrawl provides a flexible plug-in development framework with the following development process:
- environmental preparation: Install watercrawl-plugin package
pip install watercrawl-plugin - Basic Development: Inherit the provided abstract base class to implement custom crawling or data processing logic
- Functionality Expansion: Key methods can be overridden to customize behavior such as page parsing, request scheduling, etc.
- integration test: Integrate the developed plug-in into the main program for testing
- Deployment goes live: Enable plug-in functionality via configuration files or APIs
Plugin development requires a basic foundation in Python programming, and familiarity with the Scrapy framework will help develop more complex features.WaterCrawl official documentation provides detailed plugin development guidelines and sample code, which can be referred to during the development process.
This answer comes from the articleWaterCrawl: transforming web content into data usable for large modelsThe
May not be reproduced without permission:AI productivity tools " How to develop custom plugins for WaterCrawl?
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