MARKET RESEARCH
App Store Review Miner: Cluster Feedback into an Airtable Signal Feed
Scrapes recent App Store and Google Play reviews on a schedule, uses an LLM to tag each one as a feature request, complaint, or praise and assign it to a theme.
How it runs
The automated pipeline, trigger to output.
- TriggerNightly schedule fires
- ActionScrape new App Store + Play reviewsApify
- LogicDrop already-seen and too-short reviews
- ActionClassify and theme each review with LLMOpenAI
- LogicRoll up reviews by theme, count mentions
- OutputUpsert theme signals into AirtableAirtable
What it does
This workflow turns raw app-store reviews into a structured roadmap signal feed. Every night it pulls the latest reviews, classifies each one, groups them into named themes (e.g. "slow sync", "dark mode request"), and maintains an Airtable base where each theme row tracks its mention count, average star rating, and sentiment trend.
When to use it
Use it when your team drowns in store reviews and wants a single ranked view of what users actually keep asking for. Good for product managers running weekly roadmap reviews who need evidence, not anecdotes.
How it works
- 1A nightly schedule fires the run.
- 2Apify scrapes new App Store and Google Play reviews since the last watermark.
- 3A filter drops reviews already processed and any below a minimum length.
- 4OpenAI classifies each review (request / complaint / praise) and assigns a theme label plus a sentiment score.
- 5A grouping step rolls reviews up by theme and counts mentions.
- 6Airtable upserts one row per theme, incrementing counts and refreshing the rating and sentiment fields.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect AirtableBases, tables, views, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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