QQ-Groups-Spider is a Python script designed to extract information from QQ groups. It allows users to retrieve details such as group name, member count, owner information, location, category, tags, and group description. The script utilizes the bottle web framework for creating a web application to facilitate the data collection and export process. It addresses the need for automated group information gathering, which can be a time-consuming manual task.
This project provides a straightforward solution for extracting QQ group data, offering flexibility in output formats (XLS, CSV, JSON). It includes local execution support and has been updated to accommodate changes in the QQ group API, ensuring continued functionality. The script’s design prioritizes ease of use, with clear instructions for setup and execution.
- Data Extraction: Retrieves group name, group ID, member count, owner, location, category, tags, and description.
- Output Formats: Supports exporting data to XLS, CSV, and JSON files.
- Local Execution: Enables running the script locally on various operating systems.
- API Handling: Utilizes
bottlefor web scraping and interaction with the QQ group API. - Third-party Libraries: Leverages libraries like
requests,simplejson, andpyexcel-xlsfor enhanced functionality. - Keyword Support: Allows filtering groups based on keywords for targeted data collection.
- Zip Export: Supports exporting results as a zip archive for easy sharing.
The project is archived and last updated in 2017, indicating a period of active development followed by a cessation of updates. While the code appears functional based on the provided information, the lack of recent activity suggests that support and maintenance are no longer prioritized. The provided documentation and sample screenshots suggest the project was once well-maintained and provided a working solution.
This project benefits researchers, analysts, and anyone needing to collect information about QQ groups. It’s particularly useful for understanding group demographics, identifying trending topics, or analyzing community structures. It offers a convenient alternative to manually gathering information from QQ groups, saving significant time and effort.