web-fetch（网络获取）

Web Fetch

Fetch web content and convert to clean Markdown and PDF formats. Supports general websites and WeChat (微信公众号) articles.

Features

• Automatic noise removal (navigation, headers, footers, sidebars)
• Image preservation with alt text
• WeChat article special handling (lazy-loaded images, metadata extraction)
• Clean Markdown output ready for translation or processing
• PDF conversion with clean reading style
• CJK font support for Chinese content
• Both MD and PDF output by default

Dependencies

# Core dependencies
pip install crawl4ai requests beautifulsoup4 markdownify

# WeChat article fetching
pip install playwright
playwright install chromium

# PDF conversion with CJK font support
pip install reportlab markdown beautifulsoup4

Note: reportlab provides excellent CJK font support and works on Windows/Mac/Linux without system dependencies.

Usage

General Web Pages

For most websites, use the crawl4ai-based fetcher:

python scripts/fetch_web_content.py <url> <output_filename>

Example:

python scripts/fetch_web_content.py https://example.com/article article.md

WeChat Articles (微信公众号)

For WeChat articles, use the Playwright-based fetcher with anti-bot bypass:

python scripts/fetch_weixin.py <url> [output_filename]

Examples:

# Auto-generate filename (YYYYMMDD+Title format)
python scripts/fetch_weixin.py "https://mp.weixin.qq.com/s/xxxxx"

# Custom filename
python scripts/fetch_weixin.py "https://mp.weixin.qq.com/s/xxxxx" article.md

Features:

• Uses real Chromium browser to bypass anti-bot protections
• Handles lazy-loaded images automatically
• Auto-generates filename from publish date + title (YYYYMMDD格式)
• Supports both visible browser (for debugging) and headless mode

Convert Markdown to PDF

After fetching content to Markdown, convert to PDF:

python scripts/md_to_pdf.py <markdown_file> [--output output.pdf]

Examples:

# Convert single file to PDF (auto-generates output name)
python scripts/md_to_pdf.py article.md

# Convert with custom output name
python scripts/md_to_pdf.py article.md --output custom_name.pdf

# Batch convert entire directory
python scripts/md_to_pdf.py ./articles_folder --concurrency 4

Features:

• Excellent Chinese (CJK) font support using Microsoft YaHei
• Image rendering support (HTTP/HTTPS URLs and local paths)
• Automatic image scaling with aspect ratio preservation
• Both single file and batch directory conversion
• Clean, readable typography optimized for Chinese content

Response Pattern (Updated)

When user requests web content fetching:

1. Identify URL type:

- WeChat URL (mp.weixin.qq.com) → use fetch_weixin.py - Other URLs → use fetch_web_content.py

1. Determine output format: Detection examples:

- User mentions "PDF" explicitly → MD + PDF - User says "only MD"/"no PDF"/"markdown only" → MD only - Ambiguous request → Ask: "Would you like PDF format as well?" - "Fetch as PDF" / "转换为PDF" → MD + PDF - "Save to PDF" → MD + PDF - "Get markdown only" / "只要markdown" → MD only - "Fetch this article" → Ask user - "抓取网页内容" → Ask user

1. Execute fetching: python scripts/fetch_web_content.py <url> <output>.md # or python scripts/fetch_weixin.py <url> [output].md Note: For WeChat articles, output filename is optional - it auto-generates as YYYYMMDD+Title
2. Convert to PDF (if requested): python scripts/md_to_pdf.py <output>.md This creates <output>.pdf alongside <output>.md
3. Report results:

- Confirm both files saved (if PDF) - Show statistics for both formats - Suggest next steps

Example Workflows

Workflow 1: Fetch with PDF (Explicit Request)

# User: "Fetch this article as PDF: https://example.com/article"

# Step 1: Fetch markdown
python scripts/fetch_web_content.py https://example.com/article article.md

# Step 2: Convert to PDF
python scripts/md_to_pdf.py article.md

# Result:
# ✓ Saved: article.md (45 KB, 8,234 words)
# ✓ PDF: article.pdf (with images embedded)

Workflow 2: Fetch Markdown Only

# User: "Get the markdown only"

# Step 1: Fetch markdown
python scripts/fetch_web_content.py https://example.com/article article.md

# Step 2: Skip PDF conversion

# Result:
# ✓ Saved: article.md (45 KB, 8,234 words)

Workflow 3: Ambiguous Request

# User: "Fetch this article: https://example.com/article"

# Claude asks: "I'll fetch this article. Would you like me to convert it to PDF as well?"
# User: "Yes"

# Then proceed with Workflow 1

Workflow 4: WeChat Article with PDF

# User: "抓取微信文章为PDF"

# Step 1: Fetch markdown (auto-generates filename as YYYYMMDD+Title)
python scripts/fetch_weixin.py "https://mp.weixin.qq.com/s/xxxxx"

# Step 2: Convert to PDF (use the auto-generated filename)
python scripts/md_to_pdf.py 20251214关于财政政策和货币政策的关系.md

# Result:
# ✓ Saved: 20251214关于财政政策和货币政策的关系.md (中文内容)
# ✓ PDF: 20251214关于财政政策和货币政策的关系.pdf (完美支持中文和图片)

Batch Processing

For multiple URLs, loop through and fetch each:

for url in url1 url2 url3; do
  filename="output_$(date +%s)"
  python scripts/fetch_web_content.py "$url" "$filename.md"
  python scripts/md_to_pdf.py "$filename.md"  # Optional: add PDF
done

Troubleshooting