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Automatic Category Page Suggester

A Streamlit app that analyzes your crawl data to suggest new category pages based on your product inventory and real search demand.

Originally presented at Brighton SEO.

Open App

How It Works

  1. N-Gram Generation: Extracts 2-7 word n-grams from product H1 tags to generate thousands of potential category keywords
  2. Product Matching: Filters suggestions to only those matching a minimum number of products (exact and fuzzy matching)
  3. Duplicate Detection: Uses PolyFuzz TF-IDF matching to identify suggestions too similar to existing categories
  4. Search Validation: Keywords Everywhere API validates suggestions against real search volume data, keeping only legitimate keywords with actual demand
  5. Fragment Removal: Optionally keeps only the longest keyword variant, removing shorter fragments

Features

  • Generates thousands of keyword variations from product titles using n-grams
  • Matches suggestions to existing categories using fuzzy matching (PolyFuzz)
  • Keywords Everywhere API integration filters to only real search terms
  • Configurable similarity threshold to avoid duplicate categories
  • Export results to CSV

Requirements

pip install -r requirements.txt

Usage

  1. Start the app:

    streamlit run category_generator.py

  2. Upload files from Screaming Frog:

    • inlinks.csv - Export inlinks to your product pages (Bulk Export > Links > All Inlinks)
    • internal_html.csv - HTML export (Bulk Export > All > Internal HTML)

  3. Map columns:

    • Select which custom extraction column identifies product pages
    • Select which custom extraction column identifies category pages

  4. Configure settings in the sidebar

  5. Download results as CSV

Input Files

inlinks.csv

Export from Screaming Frog: Bulk Export > Links > All Inlinks

Required columns:

  • From / Source - The linking page
  • To / Destination - The linked page

internal_html.csv

Export from Screaming Frog: Bulk Export > All > Internal HTML

Required columns:

  • Address - Page URL
  • Indexability - Indexability status
  • H1-1 - Primary H1 tag
  • Title 1 - Page title
  • Custom extraction columns for product/category identification

Configuration Options

Setting Description Default
Min Product Match (Exact) Minimum products a keyword must exactly match 3
Min Product Match (Fuzzy) Minimum fuzzy matches required 3
Min Similarity Max similarity to existing category (lower = more unique) 96%
Min CPC Minimum cost-per-click filter $0
Min Search Volume Minimum monthly search volume 100
Keep Longest Word Remove shorter keyword fragments Enabled
Fuzzy Product Match Enable slower but more thorough matching Disabled

Keywords Everywhere Integration

Add your Keywords Everywhere API key to validate suggestions against real search data. This filters out n-gram combinations that nobody actually searches for.

  • Validates keyword suggestions have real search volume
  • Provides CPC data for commercial intent analysis
  • PAYG pricing with no expiration

Output

CSV file with columns:

  • Parent Category - The category the products belong to
  • Keyword - Suggested new category name
  • Search Volume - Monthly searches (if KWE enabled)
  • CPC - Cost per click (if KWE enabled)
  • Matching Products (Exact) - Products containing exact keyword
  • Matching Products (Fuzzy) - Products matching all words
  • Matched Category - Most similar existing category
  • Similarity - How similar to existing (lower = more unique)

Use Cases

  • Expand category structure based on actual product inventory
  • Align taxonomy with search demand using real keyword data
  • Identify gaps between what you sell and how users search
  • Prioritize new categories by search volume and product coverage

Author

Lee Foot - eCommerce SEO Consultant

Website LinkedIn Bluesky