- name
- web-browse
- description
- Fetch and parse web pages using curl + python for HTML-to-text extraction.
- metadata
- {"thinkfleetbot":{"emoji":"🌐","requires":{"bins":"[Truncated]"}}}
# Web Browse
Fetch web pages and extract readable text content.
## Quick fetch (raw HTML)
```bash
curl -sL "https://example.com" | head -200
```
## Extract text with Python
```bash
curl -sL "https://example.com" | python3 -c "
import sys, html, re
raw = sys.stdin.read()
text = re.sub(r'<script[^>]*>.*?</script>', '', raw, flags=re.DOTALL)
text = re.sub(r'<style[^>]*>.*?</style>', '', text, flags=re.DOTALL)
text = re.sub(r'<[^>]+>', ' ', text)
text = html.unescape(text)
text = re.sub(r'\s+', ' ', text).strip()
print(text[:8000])
"
```
## Get page title and meta
```bash
curl -sL "https://example.com" | python3 -c "
import sys, re
h = sys.stdin.read()
title = re.search(r'<title>(.*?)</title>', h, re.I|re.S)
desc = re.search(r'<meta[^>]*name=[\"']description[\"'][^>]*content=[\"'](.*?)[\"']', h, re.I)
print(f'Title: {title.group(1).strip() if title else \"N/A\"}')
print(f'Description: {desc.group(1).strip() if desc else \"N/A\"}')
"
```
## Download a file
```bash
curl -sL -o /tmp/file.pdf "https://example.com/report.pdf"
```
## Notes
- Respect robots.txt. Do not scrape excessively.
- Use `-L` to follow redirects.
- For JavaScript-heavy sites, consider the browser skill.
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