by wzdnzd · Agent Tool · ★ 559
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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. ⭐⭐⭐ If this project helps you, please give it a star! Your support motivates us to keep improving and adding new features. Table of Contents Key Features Quick Start Architecture Directory Structure Troubleshooting Contributing Project Goals The system aims to build a universal data acquisition framework primarily targeting: GitHub: Code repositories, issues, commits, and API endpoints Network Mapping Platforms: FOFA - Cyberspace mapping and asset discovery Shodan - Internet-connected device search engine Arbitrary Web Endpoints: Custom APIs, web services, and data sources Extensible Architecture: Plugin-based system for easy integration of new data sources Current Data Source Support | Data So
| Stars | 559 |
| Forks | 113 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 46.69/100 |
| Last Updated | 2026-06-18 |
| 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 Agent Tool 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.
The top alternatives to harvester on Agent Skills Hub include llmio, bridgic, witsy. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.