This content originally appeared on DEV Community and was authored by Valentina Skakun
This is a submission for the 2025 Hacktoberfest Writing Challenge: Maintainer Spotlight
I needed a quick way to check how similar Google SERPs are for different keywords. Couldn’t find a simple, free tool that worked well, so I built one.
It uses HasData’s SERP API and runs on Streamlit. HasData gives you 1000 free credits when you sign up, and their API scales smoothly if you need more. The app is live, and the code is open on GitHub.
Run on Streamlit | View on GitHub
The Problem
SEO tools that actually give you a similarity breakdown of SERPs are either limited or behind a paywall. Keyword Insights worked, but it capped at five keywords and now costs money. That’s frustrating when you need quick checks for multiple keywords.
I wanted something fast and simple.
The Solution
The tool compares multiple keywords and shows how much their SERPs overlap.
- Powered by HasData SERP API
- Built with Streamlit
- Works with any number of keywords
- Free to start with HasData’s trial credits
Just enter your API key, add keywords (comma or new line), and get a SERP similarity breakdown in seconds.
How to Use
Step 1: Get a HasData API Key
Sign up at HasData and get your 1000 free credits.
Step 2: Run the App
Open the Streamlit link or clone the GitHub repo. No setup needed, just run it.
Step 3: Enter Keywords
Paste your keywords separated by commas or new lines.
Step 4: Check Results
The tool shows a SERP similarity breakdown with clear, structured data.
Under the Hood
- Python 3.11+
- Streamlit for UI
- HasData SERP API for search data
- Simple to extend with filters, charts, or exports
- Deployed via Streamlit Cloud
Clone the repo, set your API key, install requirements pip install -r requirements.txt, and run streamlit run streamlit_app.py, or just use the hosted version.
Conclusion
Practical, minimal, and free to start. It does one job well: showing how similar SERPs are between keywords.
This content originally appeared on DEV Community and was authored by Valentina Skakun
Valentina Skakun | Sciencx (2025-10-28T17:44:16+00:00) SERP Similarity Tool with HasData & Streamlit. Retrieved from https://www.scien.cx/2025/10/28/serp-similarity-tool-with-hasdata-streamlit/
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