What Is Web Crawling? Crawling vs. Scraping Explained
Web crawling is the automated process of systematically browsing the web by following links from page to page. While web scraping extracts data from specific pages, web crawling discovers and navigates to those pages in the first place.
Crawling vs. Scraping
| Web Crawling | Web Scraping | |
|---|---|---|
| Goal | Discover pages | Extract data |
| Action | Follow links | Parse content |
| Output | List of URLs | Structured data |
| Scale | Broad | Targeted |
How Web Crawlers Work
- 1.Start with one or more seed URLs
- 2.Fetch each page
- 3.Extract all links from the page
- 4.Filter links (same domain, not visited, allowed by robots.txt)
- 5.Add new links to the queue
- 6.Repeat until done
import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin
visited = set()
queue = ["https://example.com"]
while queue:
url = queue.pop(0)
if url in visited:
continue
visited.add(url)
response = requests.get(url)
soup = BeautifulSoup(response.text, "lxml")
# Extract data from this page
# ...
# Find new links to crawl
for link in soup.select("a[href]"):
full_url = urljoin(url, link["href"])
if full_url.startswith("https://example.com") and full_url not in visited:
queue.append(full_url)
Crawling Best Practices
- •Respect robots.txt: Check before crawling any domain
- •Deduplicate URLs: Track visited pages to avoid infinite loops
- •Handle pagination: Don't just follow nav links — detect "next page" patterns
- •Set depth limits: Don't crawl infinitely deep into a site
- •Use breadth-first: Process pages level by level, not deep into one branch
When to Use a Crawler
- •You need all pages from a site (product catalog, directory)
- •You don't know the exact URLs upfront
- •The site doesn't have a sitemap or API
- •You're building a search index