Contents

Chapter 1

Features

This chapter covers the core features and capabilities of SERP Analyzer.

Features

  • Extracts organic results with titles, URLs, and descriptions
  • Detects 9 SERP features: featured snippets, PAA, knowledge panels, local packs, video carousels, image packs, top stories, shopping results, site links
  • People Also Ask question extraction
  • Title pattern analysis (length, common words, year usage)
  • Content gap identification with actionable recommendations
  • Keyword presence checking across result titles
  • Text and JSON output formats
  • Python stdlib only — zero dependencies

Quick Start

bash
# Analyze a saved SERP page
python src/serp_analyzer.py --input examples/sample_serp.html

# With query context and keyword tracking
python src/serp_analyzer.py --input serp.html --query "python seo tools" --keywords "python,seo,tools"

# JSON output for programmatic use
python src/serp_analyzer.py --input serp.html --format json --output report.json
Chapter 2

How to Save a SERP Page

Follow this guide to get SERP Analyzer up and running in your environment.

How to Save a SERP Page

1. Search for your target keyword on Google

2. Right-click → "Save As" → "Webpage, Complete" or "HTML Only"

3. Feed the saved HTML file to this analyzer

Output Includes

  • SERP Features: Which special result types are present
  • Top Organic Results: Position, title, URL, and title length
  • People Also Ask: Extracted questions from PAA boxes
  • Title Insights: Average length, common words, number/year usage
  • Content Gaps: Actionable opportunities based on what's missing
  • Keyword Presence: How often your keywords appear in result titles
Chapter 3
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