Harvester - Universal Data Acquisition Framework 📖 中文文档 🔗 More Tools A universal, adaptive data acquisition framework designed for comprehensive information acquisition from multiple sources including GitHub, network mapping platforms (FOFA, Shodan), and arbitrary web endpoints. While the current implementation focuses on AI service provider key discovery as a practical example, the framework is architected for extensibility to support diverse data acquisition scenarios.
| Stars | 559 |
| Forks | 113 |
| Language | Python |
| Category | AI 工具 |
| Quality Score | 46.69/100 |
| Last Updated | 2026-06-16 |
| Created | 2025-08-11 |
| Platforms | browser, gemini, python |
| Est. Tokens | ~23k |
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harvester is Intelligent data acquisition framework for GitHub and web sources. It is categorized as a AI 工具 with 559 GitHub stars.
harvester is primarily written in Python. It covers topics such as ai, anthropic, deepseek.
You can find installation instructions and usage details in the harvester GitHub repository at github.com/wzdnzd/harvester. The project has 559 stars and 113 forks, indicating an active community.