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WaterCrawl is an open source web crawling and data extraction platform designed to transform website content into structured data suitable for machine learning and AI workflows. It enables developers and researchers to crawl web pages, extract meaningful information, and convert it into formats that are easier to process and analyze. It provides a modern crawling system that can automatically navigate links, control crawl depth, and collect content from targeted sections of a website. WaterCrawl supports customizable extraction rules so users can focus only on relevant elements while ignoring unnecessary page components. WaterCrawl also offers real-time monitoring capabilities, allowing users to track crawling progress, performance metrics, and errors during large data collection jobs. Developers can integrate the tool into applications through a REST API and multiple client SDKs, enabling automated data pipelines and AI data preparation workflows.
Features
- Intelligent website crawling with configurable depth, scope, and link handling
- Selective content extraction using HTML tags, selectors, and filtering rules
- Real-time crawl monitoring with progress updates and event streaming
- REST API and official client SDKs for multiple programming languages
- Asynchronous processing for scalable and efficient crawling workflows
- Integrations with automation and AI tools for data pipelines and analysis
Project Samples
