runesleo

Universal content reader — fetch, normalize, and digest content from 7+ platforms (WeChat, Telegram, X, YouTube, Bilibili, Xiaohongshu, RSS)

672
60
100% credibility
Found Feb 23, 2026 at 278 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

x-reader is a tool that extracts structured text and transcripts from URLs across platforms like YouTube, Twitter, WeChat, Bilibili, and others into a unified readable format.

How It Works

1
🔍 Discover x-reader

You find a handy tool that pulls readable content from websites, videos, social posts, and more, making it easy to collect what you want.

2
📥 Get it ready

Download and set it up on your computer quickly so it's all set to grab content.

3
🔗 Paste a web link

Simply type or paste a link from YouTube, Twitter, an article, or anywhere else.

4
Content appears

It spots the site type and extracts the title, full text, and even turns video speech into readable words.

5
📋 Check your haul

See everything neatly listed with details like source and when you got it.

6
Pick your way
💾
Save to collection

Add it to your personal list or notes for later.

🤖
Ask AI buddy

Send it to an AI assistant for summaries or insights.

🎉 Content mastered

You now have organized, easy-to-use info from all over the web in one spot.

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Star Growth

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AI-Generated Review

What is x-reader?

x-reader is a Python CLI tool and library that fetches content from 7+ platforms—WeChat, Telegram, X, YouTube, Bilibili, Xiaohongshu, RSS—and normalizes it into structured JSON or Markdown. Drop a URL, and it auto-detects the source, extracts text, subtitles, or transcripts, then saves to a persistent inbox for batch review or export to Obsidian. Like a github universal x reader, it handles login fallbacks and concurrent fetches via simple commands like `x-reader url1 url2` or Python async calls.

Why is it gaining traction?

It beats one-off scrapers with multi-tier fallbacks (API, browser, Jina Reader) that work on anti-bot sites without constant tweaks, plus optional MCP server for Claude integration and video transcription via yt-dlp/Groq. Devs dig the zero-config pip install from GitHub, unified schema for AI pipelines, and inbox that dedups your universal content stream—no more juggling per-platform tools.

Who should use this?

Python scripters building content pipelines for LLMs, researchers aggregating Telegram channels or Bilibili trends, or newsletter ops pulling from X/WeChat/RSS into Obsidian. Ideal for AI prompt engineers needing clean, structured feeds without custom parsers.

Verdict

Worth pip-installing for Python-heavy workflows—90 stars and strong README show promise despite 1.0% credibility signaling early maturity. Test it on your feeds; MIT license means easy forking if needed.

(187 words)

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