I got tired of spending hours every week pulling SEO data from different dashboards, exporting spreadsheets, and manually combining everything into reports.
So this weekend, I built a lightweight Python wrapper around the SerpSpur API that automates most of my competitor analysis workflow.
What it does
The script pulls:
Keyword ranking positions
Backlink changes
Page speed metrics
Competitor domain data
…and exports everything into a single clean CSV file for reporting.
Why I built it
My old workflow looked something like this:
Open multiple SEO tools
Export ranking reports
Copy backlink changes manually
Run page speed checks
Merge everything into spreadsheets
Clean formatting for clients/team updates
It usually took around 3 hours every week.
Now the wrapper handles everything in about 15 minutes.
Tech Stack
Python
Requests
Pandas
CSV exports
SerpSpur API
Biggest win
The main benefit wasn’t just saving time — it also reduced reporting inconsistencies.
No more:
missing rows
duplicate keywords
outdated screenshots
forgotten competitor checks
Everything runs from one script now.
Possible next steps
I’m thinking about adding:
automated trend charts
scheduled reporting
Slack/Discord notifications
Google Sheets sync
historical keyword tracking
GitHub
Code’s on my GitHub if anyone wants to fork or improve it.
Link in bio.
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