
article-extractor
Extract clean article content from URLs (blog posts, articles, tutorials) and save as readable text. Use when user wants to download, extract, or save an article/blog post from a URL without ads, navigation, or clutter.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/michalparkola/tapestry-skills --skill article-extractor- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads article-extractor automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Article Extractor
This skill extracts the main content from web articles and blog posts, removing navigation, ads, newsletter signups, and other clutter. Saves clean, readable text.
When to Use This Skill
Activate when the user:
- Provides an article/blog URL and wants the text content
- Asks to "download this article"
- Wants to "extract the content from [URL]"
- Asks to "save this blog post as text"
- Needs clean article text without distractions
How It Works
Priority Order:
- Check if tools are installed (reader or trafilatura)
- Download and extract article using best available tool
- Clean up the content (remove extra whitespace, format properly)
- Save to file with article title as filename
- Confirm location and show preview
Installation Check
Check for article extraction tools in this order:
Option 1: reader (Recommended - Mozilla's Readability)
command -v reader
If not installed:
npm install -g @mozilla/readability-cli
# or
npm install -g reader-cli
Option 2: trafilatura (Python-based, very good)
command -v trafilatura
If not installed:
pip3 install trafilatura
Option 3: Fallback (curl + simple parsing)
If no tools available, use basic curl + text extraction (less reliable but works)
Extraction Methods
Method 1: Using reader (Best for most articles)
# Extract article
reader "URL" > article.txt
Pros:
- Based on Mozilla's Readability algorithm
- Excellent at removing clutter
- Preserves article structure
Method 2: Using trafilatura (Best for blogs/news)
# Extract article
trafilatura --URL "URL" --output-format txt > article.txt
# Or with more options
trafilatura --URL "URL" --output-format txt --no-comments --no-tables > article.txt
Pros:
- Very accurate extraction
- Good with various site structures
- Handles multiple languages
Options:
--no-comments: Skip comment sections--no-tables: Skip data tables--precision: Favor precision over recall--recall: Extract more content (may include some noise)
Method 3: Fallback (curl + basic parsing)
# Download and extract basic content
curl -s "URL" | python3 -c "
from html.parser import HTMLParser
import sys
class ArticleExtractor(HTMLParser):
def __init__(self):
super().__init__()
self.in_content = False
self.content = []
self.skip_tags = {'script', 'style', 'nav', 'header', 'footer', 'aside'}
self.current_tag = None
def handle_starttag(self, tag, attrs):
if tag not in self.skip_tags:
if tag in {'p', 'article', 'main', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6'}:
self.in_content = True
self.current_tag = tag
def handle_data(self, data):
if self.in_content and data.strip():
self.content.append(data.strip())
def get_content(self):
return '\n\n'.join(self.content)
parser = ArticleExtractor()
parser.feed(sys.stdin.read())
print(parser.get_content())
" > article.txt
Note: This is less reliable but works without dependencies.
Getting Article Title
Extract title for filename:
Using reader:
# reader outputs markdown with title at top
TITLE=$(reader "URL" | head -n 1 | sed 's/^# //')
Using trafilatura:
# Get metadata including title
TITLE=$(trafilatura --URL "URL" --json | python3 -c "import json, sys; print(json.load(sys.stdin)['title'])")
Using curl (fallback):
TITLE=$(curl -s "URL" | grep -oP '<title>\K[^<]+' | sed 's/ - .*//' | sed 's/ | .*//')
Filename Creation
Clean title for filesystem:
# Get title
TITLE="Article Title from Website"
# Clean for filesystem (remove special chars, limit length)
FILENAME=$(echo "$TITLE" | tr '/' '-' | tr ':' '-' | tr '?' '' | tr '"' '' | tr '<' '' | tr '>' '' | tr '|' '-' | cut -c 1-100 | sed 's/ *$//')
# Add extension
FILENAME="${FILENAME}.txt"
Complete Workflow
ARTICLE_URL="https://example.com/article"
# Check for tools
if command -v reader &> /dev/null; then
TOOL="reader"
echo "Using reader (Mozilla Readability)"
elif command -v trafilatura &> /dev/null; then
TOOL="trafilatura"
echo "Using trafilatura"
else
TOOL="fallback"
echo "Using fallback method (may be less accurate)"
fi
# Extract article
case $TOOL in
reader)
# Get content
reader "$ARTICLE_URL" > temp_article.txt
# Get title (first line after # in markdown)
TITLE=$(head -n 1 temp_article.txt | sed 's/^# //')
;;
trafilatura)
# Get title from metadata
METADATA=$(trafilatura --URL "$ARTICLE_URL" --json)
TITLE=$(echo "$METADATA" | python3 -c "import json, sys; print(json.load(sys.stdin).get('title', 'Article'))")
# Get clean content
trafilatura --URL "$ARTICLE_URL" --output-format txt --no-comments > temp_article.txt
;;
fallback)
# Get title
TITLE=$(curl -s "$ARTICLE_URL" | grep -oP '<title>\K[^<]+' | head -n 1)
TITLE=${TITLE%% - *} # Remove site name
TITLE=${TITLE%% | *} # Remove site name (alternate)
# Get content (basic extraction)
curl -s "$ARTICLE_URL" | python3 -c "
from html.parser import HTMLParser
import sys
class ArticleExtractor(HTMLParser):
def __init__(self):
super().__init__()
self.in_content = False
self.content = []
self.skip_tags = {'script', 'style', 'nav', 'header', 'footer', 'aside', 'form'}
def handle_starttag(self, tag, attrs):
if tag not in self.skip_tags:
if tag in {'p', 'article', 'main'}:
self.in_content = True
if tag in {'h1', 'h2', 'h3'}:
self.content.append('\n')
def handle_data(self, data):
if self.in_content and data.strip():
self.content.append(data.strip())
def get_content(self):
return '\n\n'.join(self.content)
parser = ArticleExtractor()
parser.feed(sys.stdin.read())
print(parser.get_content())
" > temp_article.txt
;;
esac
# Clean filename
FILENAME=$(echo "$TITLE" | tr '/' '-' | tr ':' '-' | tr '?' '' | tr '"' '' | tr '<>' '' | tr '|' '-' | cut -c 1-80 | sed 's/ *$//' | sed 's/^ *//')
FILENAME="${FILENAME}.txt"
# Move to final filename
mv temp_article.txt "$FILENAME"
# Show result
echo "✓ Extracted article: $TITLE"
echo "✓ Saved to: $FILENAME"
echo ""
echo "Preview (first 10 lines):"
head -n 10 "$FILENAME"
Error Handling
Common Issues
1. Tool not installed
- Try alternate tool (reader → trafilatura → fallback)
- Offer to install: "Install reader with: npm install -g reader-cli"
2. Paywall or login required
- Extraction tools may fail
- Inform user: "This article requires authentication. Cannot extract."
3. Invalid URL
- Check URL format
- Try with and without redirects
4. No content extracted
- Site may use heavy JavaScript
- Try fallback method
- Inform user if extraction fails
5. Special characters in title
- Clean title for filesystem
- Remove:
/,:,?,",<,>,| - Replace with
-or remove
Output Format
Saved File Contains:
- Article title (if available)
- Author (if available from tool)
- Main article text
- Section headings
- No navigation, ads, or clutter
What Gets Removed:
- Navigation menus
- Ads and promotional content
- Newsletter signup forms
- Related articles sidebars
- Comment sections (optional)
- Social media buttons
- Cookie notices
Tips for Best Results
1. Use reader for most articles
- Best all-around tool
- Based on Firefox Reader View
- Works on most news sites and blogs
2. Use trafilatura for:
- Academic articles
- News sites
- Blogs with complex layouts
- Non-English content
3. Fallback method limitations:
- May include some noise
- Less accurate paragraph detection
- Better than nothing for simple sites
4. Check extraction quality:
- Always show preview to user
- Ask if it looks correct
- Offer to try different tool if needed
Example Usage
Simple extraction:
# User: "Extract https://example.com/article"
reader "https://example.com/article" > temp.txt
TITLE=$(head -n 1 temp.txt | sed 's/^# //')
FILENAME="$(echo "$TITLE" | tr '/' '-').txt"
mv temp.txt "$FILENAME"
echo "✓ Saved to: $FILENAME"
With error handling:
if ! reader "$URL" > temp.txt 2>/dev/null; then
if command -v trafilatura &> /dev/null; then
trafilatura --URL "$URL" --output-format txt > temp.txt
else
echo "Error: Could not extract article. Install reader or trafilatura."
exit 1
fi
fi
Best Practices
- ✅ Always show preview after extraction (first 10 lines)
- ✅ Verify extraction succeeded before saving
- ✅ Clean filename for filesystem compatibility
- ✅ Try fallback method if primary fails
- ✅ Inform user which tool was used
- ✅ Keep filename length reasonable (< 100 chars)
After Extraction
Display to user:
- "✓ Extracted: [Article Title]"
- "✓ Saved to: [filename]"
- Show preview (first 10-15 lines)
- File size and location
Ask if needed:
- "Would you like me to also create a Ship-Learn-Next plan from this?" (if using ship-learn-next skill)
- "Should I extract another article?"
FAQ
What does the article-extractor skill do?
Extract clean article content from URLs (blog posts, articles, tutorials) and save as readable text. Use when user wants to download, extract, or save an article/blog post from a URL without ads, navigation, or clutter.
How do I install article-extractor?
Run npx skills add https://github.com/michalparkola/tapestry-skills --skill article-extractor in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/article-extractor/ (personal) or .claude/skills/article-extractor/ (project).
Which AI agents can use article-extractor?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is article-extractor safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains article-extractor?
It is published by michalparkola in michalparkola/tapestry-skills. It has 631 recorded installs.
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