by teng-lin · Agent Tool · ★ 277
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agent-fetch Full-content web fetcher for AI agents and content workflows. Standard HTTP tools (curl, wget, or an agent's built-in web fetch) are often served truncated or different responses because servers inspect the client's network fingerprint. agent-fetch uses browser impersonation so servers respond as they would to a real browser, then runs multiple extraction strategies to pull the complete article — every paragraph, heading, and link. Also supports multi-page crawling, persistent cookies, and custom CSS selectors. Runs locally with no API keys or cloud dependencies. Also useful for: NotebookLM can't add a URL as a source — extract the content and paste it as text RAG pipelines need clean markdown from web pages, not HTML soup or truncated summaries LLM conversations where you need the full article in context, not a 3-paragraph summary Built-in agent fet
| Stars | 277 |
| Forks | 17 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 58.468/100 |
| Last Updated | 2026-03-15 |
| Created | 2026-02-07 |
| Platforms | browser, node |
| Est. Tokens | ~115k |
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agent-fetch is Full-content web fetcher for AI agents — Chrome TLS fingerprinting, browser impersonation, and multi-strategy article extraction. It is categorized as a Agent Tool with 277 GitHub stars.
agent-fetch is primarily written in TypeScript. It covers topics such as ai-agents, anti-bot-detection, content-extraction.
You can find installation instructions and usage details in the agent-fetch GitHub repository at github.com/teng-lin/agent-fetch. The project has 277 stars and 17 forks, indicating an active community.
agent-fetch is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-fetch on Agent Skills Hub include webclaw, output, charlotte. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.