Python: Extracting SEO Meta Tags from HTML

Learn how to parse HTML strings and extract the title, meta description, and primary H1 tag using Python regex.

Understanding On-Page Meta Tag Extraction

Search engine crawlers (Googlebot, Bingbot) scan raw HTML documents to extract critical indexing signals:
1. **Title Tag** (<title>): The clickable headline in search results.
2. **Meta Description** (<meta name="description" content="...">): The summary snippet.
3. **Primary Heading** (<h1>): The central topical topic of the webpage.

In this lesson, you will write a clean Python parser that extracts these three essential fields from raw HTML source code.

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Key Principles:

- Use non-greedy regex matching (.*?) to avoid capturing across multiple tags.
- Use re.IGNORECASE because HTML tag names are case-insensitive.
- Strip leading and trailing whitespace from extracted values.

Target Output

{'title': 'Seoffix - Free SEO Site Auditor & Tools', 'description': 'Audit your website with 236 automated SEO checkpoints.', 'h1': 'Complete SEO Site Audit Engine'}

Need a Hint?

Use re.search(r'<title[^>]*>(.*?)</title>', html, re.I)
For meta description, look for name='description' and capture content='...'
Use .strip() to clean whitespace from the matched group

solution.py

Terminal Output Ready

Click "Run Code & Test" to execute your solution.