Skip to main content

Python Automation: Web Scraping with BeautifulSoup

Learn to automate data collection from websites using Python and BeautifulSoup.

Updated 1 min read1,562 views
Python Automation: Web Scraping with BeautifulSoup

Getting Started

#

Web scraping is a powerful technique for extracting data from websites. Python makes it easy with BeautifulSoup.

from bs4 import BeautifulSoup
import requests

url = "https://example.com"
response = requests.get(url)
soup = BeautifulSoup(response.text, "html.parser")

titles = soup.find_all("h2")
for title in titles:
    print(title.text)

Handling Pagination

#

Most websites paginate their content. Here's how to handle it:

for page in range(1, 11):
    url = f"https://example.com/page/{page}"
    response = requests.get(url)
    # Process each page

Conclusion

#

Always respect robots.txt and rate limit your requests when scraping.

Share this article

Newsletter

New posts in your inbox. Confirm by email, unsubscribe any time.

Comments

Posting as a guest

View all
Python

NVIDIA/SkillSpector — a trending Python project

Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.

via GitHub · 2 min

Python

AgriciDaniel/claude-seo — a trending Python project

Universal SEO skill for Claude Code. 26 sub-skills + 19 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, agent readiness (Lighthouse Agentic Browsing, WebMCP, llms.txt), backlinks, local SEO, e-commerce, international SEO, Google APIs, and PDF/Excel reporting. 9 optional extensions for l

via GitHub · 6 min