The problem
Collecting PAA questions manually is slow, difficult to scale and often misses follow-up questions that only appear after multiple interactions.
Project 07 · SEO tooling
PAA Scraper
A research tool that expands People Also Ask results, collects follow-up questions, processes duplicates and exports the output for content structures, FAQs, AEO and search-intent research.
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The approach
An automated scraper that expands questions iteratively, records levels, deduplicates results and exports them to CSV or other usable formats.
The impact
Faster topic clustering, richer FAQ structures and better input for SEO, AEO and content strategies.
My role
SEO methodology, scraper logic, data export and quality control
I connect strategy, user needs, technology and execution. The result is not an isolated demo, but a product that can be used, maintained and expanded in practice.
For this project, technical choices were continuously connected to the daily process, the people using it and the result the solution needed to deliver.
The building blocks behind PAA Scraper
PythonPlaywrightSeleniumData exportSEO research