twitter-reader
$
npx mdskill add daymade/claude-code-skills/twitter-readerFetch Twitter/X post and article content with full media support.
SKILL.md
.github/skills/twitter-readerView on GitHub ↗
---
name: twitter-reader
description: Fetch Twitter/X post content including long-form Articles with full images and metadata. Use when Claude needs to retrieve tweet/article content, author info, engagement metrics, and embedded media. Supports individual posts and X Articles (long-form content). Automatically downloads all images to local attachments folder and generates complete Markdown with proper image references. Preferred over Jina for X Articles with images.
---
# Twitter Reader
Fetch Twitter/X post and article content with full media support.
## Quick Start (Recommended)
For X Articles with images, use the new fetch_article.py script:
```bash
uv run --with pyyaml python scripts/fetch_article.py <article_url> [output_dir]
```
Example:
```bash
uv run --with pyyaml python scripts/fetch_article.py \
https://x.com/HiTw93/status/2040047268221608281 \
./Clippings
```
This will:
- Fetch structured data via `twitter-cli` (likes, retweets, bookmarks)
- Fetch content with images via `jina.ai` API
- Download all images to `attachments/YYYY-MM-DD-AUTHOR-TITLE/`
- Generate complete Markdown with embedded image references
- Include YAML frontmatter with metadata
### Example Output
```
Fetching: https://x.com/HiTw93/status/2040047268221608281
--------------------------------------------------
Getting metadata...
Title: 你不知道的大模型训练:原理、路径与新实践
Author: Tw93
Likes: 1648
Getting content and images...
Images: 15
Downloading 15 images...
✓ 01-image.jpg
✓ 02-image.jpg
...
✓ Saved: ./Clippings/2026-04-03-文章标题.md
✓ Images: ./Clippings/attachments/2026-04-03-HiTw93-.../ (15 downloaded)
```
## Alternative: Jina API (Text-only)
For simple text-only fetching without authentication:
```bash
# Single tweet
curl "https://r.jina.ai/https://x.com/USER/status/TWEET_ID" \
-H "Authorization: Bearer ${JINA_API_KEY}"
# Batch fetching
scripts/fetch_tweets.sh url1 url2 url3
```
## Features
### Full Article Mode (fetch_article.py)
- ✅ Structured metadata (author, date, engagement metrics)
- ✅ Automatic image download (all embedded media)
- ✅ Complete Markdown with local image references
- ✅ YAML frontmatter for PKM systems
- ✅ Handles X Articles (long-form content)
### Simple Mode (Jina API)
- Text-only content
- No authentication required beyond Jina API key
- Good for quick text extraction
## Prerequisites
### For Full Article Mode
- `uv` (Python package manager)
- No additional setup (twitter-cli auto-installed)
### For Simple Mode (Jina)
```bash
export JINA_API_KEY="your_api_key_here"
# Get from https://jina.ai/
```
## Output Structure
```
output_dir/
├── YYYY-MM-DD-article-title.md # Main Markdown file
└── attachments/
└── YYYY-MM-DD-author-title/
├── 01-image.jpg
├── 02-image.jpg
└── ...
```
## What Gets Returned
### Full Article Mode
- **YAML Frontmatter**: source, author, date, likes, retweets, bookmarks
- **Markdown Content**: Full article text with local image references
- **Attachments**: All downloaded images in dedicated folder
### Simple Mode
- **Title**: Post author and content preview
- **URL Source**: Original tweet link
- **Published Time**: GMT timestamp
- **Markdown Content**: Text with remote media URLs
## URL Formats Supported
- `https://x.com/USER/status/ID` (posts)
- `https://x.com/USER/article/ID` (long-form articles)
- `https://twitter.com/USER/status/ID` (legacy)
## Scripts
### fetch_article.py
Full-featured article fetcher with image download:
```bash
uv run --with pyyaml python scripts/fetch_article.py <url> [output_dir]
```
### fetch_tweet.py
Simple text-only fetcher using Jina API:
```bash
python scripts/fetch_tweet.py <tweet_url> [output_file]
```
### fetch_tweets.sh
Batch fetch multiple tweets (Jina API):
```bash
scripts/fetch_tweets.sh <url1> <url2> ...
```
## Migration from Jina API
Old workflow:
```bash
curl "https://r.jina.ai/https://x.com/..."
# Manual image extraction and download
```
New workflow:
```bash
uv run --with pyyaml python scripts/fetch_article.py <url>
# Automatic image download, complete Markdown
```
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