smart-web-scraper

name	smart-web-scraper
description	Extract structured data from any web page. Supports CSS selectors, auto-detection of tables and lists, JSON/CSV output formats. Use when asked to scrape a website, extract data from a page, pull product info, gather contact details, or collect listings from a URL.

Smart Web Scraper

Extract structured data from web pages into clean JSON or CSV.

Quick Start

# Scrape a page, extract all text content
uv run --with beautifulsoup4 --with lxml python scripts/scraper.py extract "https://example.com"

# Extract specific elements with CSS selector
uv run --with beautifulsoup4 --with lxml python scripts/scraper.py extract "https://example.com/products" -s ".product-card"

# Auto-detect and extract tables
uv run --with beautifulsoup4 --with lxml python scripts/scraper.py tables "https://example.com/pricing"

# Extract all links from a page
uv run --with beautifulsoup4 --with lxml python scripts/scraper.py links "https://example.com"

# Extract structured data (title, meta, headings, links)
uv run --with beautifulsoup4 --with lxml python scripts/scraper.py structure "https://example.com"

# Output as JSON
uv run --with beautifulsoup4 --with lxml python scripts/scraper.py extract "https://example.com" -s ".item" -f json

# Output as CSV
uv run --with beautifulsoup4 --with lxml python scripts/scraper.py extract "https://example.com" -s "table tr" -f csv

# Save to file
uv run --with beautifulsoup4 --with lxml python scripts/scraper.py extract "https://example.com" -s ".product" -f json -o products.json

# Multi-page scrape (follow pagination)
uv run --with beautifulsoup4 --with lxml python scripts/scraper.py crawl "https://example.com/page/1" --pages 5 -s ".article"

Commands

Command	Args	Description
extract	<url> [-s selector] [-f format] [-o file]	Extract content, optionally filtered by CSS selector
tables	<url> [-f format] [-o file]	Auto-detect and extract all HTML tables
links	<url> [--external] [--internal]	Extract all links (href + text)
structure	<url>	Extract page structure: title, meta, headings, images, links
crawl	<url> --pages N [-s selector] [-f format] [-o file]	Follow pagination links, extract from multiple pages

Output Formats

Format	Flag	Description
Text	-f text	Plain text (default)
JSON	-f json	Structured JSON array
CSV	-f csv	Comma-separated values
Markdown	-f md	Markdown-formatted

Examples

Extract product listings

uv run --with beautifulsoup4 --with lxml python scripts/scraper.py extract "https://shop.example.com" -s ".product" -f json

Output:

[
  {"text": "Widget Pro - $29.99", "tag": "div", "class": "product"},
  {"text": "Widget Max - $49.99", "tag": "div", "class": "product"}
]

Extract pricing table

uv run --with beautifulsoup4 --with lxml python scripts/scraper.py tables "https://example.com/pricing" -f csv

Get all external links

uv run --with beautifulsoup4 --with lxml python scripts/scraper.py links "https://example.com" --external

Rate Limiting

• Default: 1 request per second (respectful crawling)
• Override with --delay 0.5 (seconds between requests)
• Respects robots.txt by default (override with --ignore-robots)

Notes

• Requires beautifulsoup4 and lxml (auto-installed by uv run --with)
• Uses a standard browser User-Agent to avoid blocks
• Handles redirects, encoding detection, and error pages gracefully
• No JavaScript rendering (use for static HTML pages)