SEO Keyword Clustering Tool
No phone app
5.9No. 10 of 27
in Keyword Clustering Tools
in Keyword Clustering Tools
- Recognised40% of the score20
- Phone app26% of the score0
- Documented20% of the score99
- Free plan14% of the score30
- Free plan
- No
- Runs on
- Linux, Mac, self-hosted, Web, Windows
Summary
SEO Keyword Clustering Tool is ranked #10 of 27 in keyword clustering tools on Samsung Mobile US Press. It runs on Linux, macOS, Self-hosted, Web, Windows.
Compared on keyword clustering tools
- Free plan
- Yesgithub.com
- Clustering method
- hybridgithub.com
- SERP analysis
- Yesgithub.com
- Batch upload
- Yesgithub.com
- Export formats
- CSV, Excelgithub.com
- API access
- Nogithub.com
Facts
- Purpose
- The project describes itself as a Python and Streamlit desktop tool for SEO keyword analysis and organization.github.com · 30 Sept 2026
- SERP clustering
- It groups keywords based on overlapping SERP URLs and offers Default, Strict, and Balanced Strict algorithms with Search Volume or CPC strategies.github.com · 30 Sept 2026
- Keyword metrics
- The tool fetches SERP results, search volume, CPC, keyword difficulty, and search intent through the DataForSEO API.github.com · 30 Sept 2026
- Caching
- A local SQLite cache stores API responses and is checked before API calls; users can configure the cache duration.github.com · 30 Sept 2026
- Semantic clustering
- The README describes local embedding-based semantic clustering as unlimited and without API costs, while also listing semantic clustering as a planned feature in its roadmap.github.com · 30 Sept 2026
- Analysis and export
- Its interactive workbench supports analyzing, filtering, and summarizing clusters, with reports exportable as multi-sheet Excel files.github.com · 30 Sept 2026
- Cost limit
- The README says SERP clustering incurs API costs of $0.50+ per keyword and that its keyword limit depends on API costs.github.com · 30 Sept 2026
- Installation
- The instructions cover running the application locally on Windows, macOS, or Linux with Python and Streamlit.github.com · 30 Sept 2026
- Security status
- The roadmap lists adding a secure authentication system for multiple users as a future feature.github.com · 30 Sept 2026
- License and contributions
- The project says it is MIT-licensed and welcomes contributions through GitHub issues and pull requests.github.com · 30 Sept 2026
- Intended users
- The README says semantic clustering is best for large lists and semantic grouping, while SERP clustering is best for precise SERP targeting.github.com · 30 Sept 2026
- SERP data
- The tool fetches SERP results, search volume, CPC, keyword difficulty, and search intent through the DataForSEO API.github.com · 30 Sept 2026
- API cost limit
- The README lists SERP clustering API costs as $0.50+ per keyword and says the number of keywords is limited by API costs.github.com · 30 Sept 2026
- Integration
- The tool connects to DataForSEO, with configuration for its Sandbox and Live API environments.github.com · 30 Sept 2026
- Security and trust
- The README instructs users to store DataForSEO credentials in a local .streamlit/secrets.toml file and states that the project is licensed under MIT.github.com · 30 Sept 2026
- Development status
- The roadmap lists additional languages and locations, a login system, performance improvements, and documentation work as future features.github.com · 30 Sept 2026
- Maker
- The GitHub profile identifies the maker as Fassih Fayyaz and lists Multan, Pakistan.github.com · 30 Sept 2026
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Where it ranks on Samsung Mobile US Press
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Sources
- github.com/FassihFayyaz/SEO-Clustering-Tool/blob/m· checked 30 Sept 2026
- github.com/FassihFayyaz/SEO-Clustering-Tool· checked 30 Sept 2026
- github.com/FassihFayyaz/SEO-Clustering-Tool/blob/m· checked 30 Sept 2026
- github.com/FassihFayyaz· checked 30 Sept 2026




