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SkyCaiji is an open source web scraping and data collection system designed to gather information from websites through configurable extraction rules. It focuses on simplifying the process of building crawlers by allowing users to visually define scraping rules rather than writing complex code. It can collect structured or unstructured data from many types of webpages and automate the extraction process for large datasets. SkyCaiji is designed to run on a variety of hosting environments including local machines, shared hosting environments, and cloud servers. It integrates with content management systems so collected data can be published automatically without manual intervention. SkyCaiji also supports automated workflows that continuously gather data and process it based on defined collection rules. Its architecture enables users to build scalable web scraping pipelines that can run unattended once configured.
Features
- Visual rule-based configuration for building web scraping tasks
- Automated data collection from many types of web pages
- Integration with CMS platforms for automatic content publishing
- Can run on local servers, virtual hosts, or cloud environments
- Supports continuous and unattended scraping workflows
- Designed for large-scale web data collection tasks
Project Samples
