Respectful Scraping Practices
robots.txt compliance, user agent headers, request delays, and caching.
Why Respectful Scraping Matters
Web scraping can strain servers, violate terms of service, and get your agent's IP banned. Responsible scrapers respect rate limits, identify themselves, and honor the rules websites publish.
This lesson covers the tools and techniques for scraping ethically and sustainably.
Checking robots.txt
Every website can publish a robots.txt file specifying which paths automated agents may or may not access. Python's standard library includes urllib.robotparser to parse this file.
Always check robots.txt before scraping a site.
import urllib.robotparser
rp = urllib.robotparser.RobotFileParser()
rp.set_url('https://example.com/robots.txt')
rp.read()
# Check if our bot can fetch a specific path
can_fetch = rp.can_fetch('MyAgent/1.0', 'https://example.com/public-data')
print(f'Can fetch: {can_fetch}') # True or False
cannot_fetch = rp.can_fetch('*', 'https://example.com/private/admin')
print(f'Admin allowed: {cannot_fetch}') # Often FalseAll lessons in this course
- HTTP Clients for Agents: httpx and requests
- Parsing HTML with BeautifulSoup
- Handling Pagination and Dynamic Content
- Respectful Scraping Practices