feedgrab — AI Tool by iBigQiang

by iBigQiang · AI Tool · ★ 351

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About feedgrab

Universal content grabber — fetch, normalize, and digest content from 7+ platforms (WeChat, XHS, X/Twitter, YouTube, Bilibili, Telegram, RSS)

Quick Facts

Stars351
Forks36
LanguagePython
CategoryAI Tool
LicenseMIT
Quality Score25.75/100
Open Issues3
Last Updated2026-05-05
Created2026-02-26
Platformspython
Est. Tokens~224k

Compatible Skills

These tools work well together with feedgrab for enhanced workflows:

  • x-tweet-fetcher — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • notebooklm-skill — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)
  • xhs_matrix_system — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
  • anything-to-notebooklm — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • WeChat-MCP — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is feedgrab?

feedgrab is Universal content grabber — fetch, normalize, and digest content from 7+ platforms (WeChat, XHS, X/Twitter, YouTube, Bilibili, Telegram, RSS). It is categorized as a AI Tool with 351 GitHub stars.

What programming language is feedgrab written in?

feedgrab is primarily written in Python.

How do I install or use feedgrab?

You can find installation instructions and usage details in the feedgrab GitHub repository at github.com/iBigQiang/feedgrab. The project has 351 stars and 36 forks, indicating an active community.

What license does feedgrab use?

feedgrab is released under the MIT license, making it free to use and modify according to the license terms.

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