MARKET RESEARCH

Weekly app-store review clustering into feature-request buckets

Every Monday, scrapes the latest iOS and Android store reviews, embeds them with a HuggingFace model, clusters the negatives into emerging feature-request themes.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonday morning schedule fires
  • ActionScrape last 7 days of iOS + Android reviewsApify
  • LogicKeep reviews rated 3 stars or below
  • ActionEmbed and cluster reviews into themesHugging FaceHugging Face
  • LogicRank clusters by size and growth, pick quotes
  • OutputPublish ranked digest to NotionNotionNotion

What it does

Pulls the past week of app-store reviews, semantically groups the complaints and requests, and surfaces the themes that are growing — each with a verbatim customer quote and a rough volume count — into a single Notion page the product team reviews at standup.

When to use it

Run this when manual review-reading no longer scales and you want a repeatable, quote-backed signal of what users keep asking for. Ideal for a weekly product or growth review where you need to defend roadmap calls with real customer language.

How it works

  1. 1A Monday-morning schedule fires the run.
  2. 2Apify scrapes the last 7 days of iOS App Store and Google Play reviews for the configured app IDs.
  3. 3A filter keeps reviews rated 3 stars or below, where requests and friction concentrate.
  4. 4A HuggingFace embedding model vectorizes each review and clusters them by semantic similarity into candidate themes.
  5. 5Logic ranks clusters by size and week-over-week growth, picking one sharp representative quote per cluster.
  6. 6The ranked themes, counts, and quotes are written to a dated Notion page for the team.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.