Enhance crawling efficiency and anti-anti-crawling strategy
WaterCrawl ensures crawling efficiency and stability through the following mechanisms:
- rate control: Set wait_time (milliseconds) in pageOptions to control the request interval, typical value is 1000-3000ms.
- timeout mechanism: Configure the timeout parameter (default 15000ms) to avoid single-task jamming.
- distributed architecture: Celery-based task queue supports parallel crawling, horizontal scaling of worker nodes via docker-compose
Advanced Protective Measures:
- Rotating request headers with the Rotating User-Agent plugin
- Configure proxy middleware to implement IP rotation (requires custom development of plug-ins)
- Enable MinIO to store crawl history to avoid duplicate requests
Monitoring suggestions: real-time query the status of the task through the API, and adjust the parameters in time when anomalies are found
This answer comes from the articleWaterCrawl: transforming web content into data usable for large modelsThe
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