Audit Calm App Reviews for ASO Keywords
Calm's most-helpful iOS reviews reveal the real words users use, fueling ASO keywords, subtitles, and positioning for competing meditation apps.
How it works
- 1Open it on Apify
Hit Run on Apify — it opens the tool in the cloud, no install.
- 2Set the inputs
Adjust
searchTerm,appIds,includeReviews(sensible defaults are pre-filled). - 3Click Run
The tool runs on Apify’s cloud and collects the data for you.
- 4Export the results
Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.
Inputs
| Field | What it does | Type |
|---|---|---|
searchTerm | Keyword to search the App Store for (e.g. "notion", "habit tracker"). Returns matching apps with full metadata. Leave empty if you are looking up specific apps by ID instead. | string |
appIds | Look up specific apps by numeric trackId (e.g. "1232780281") or bundleId (e.g. "net.shinyfrog.bear"). Each app is returned with full metadata; enable "Include reviews" to also fetch its customer reviews. Used instead of Search term. Note: individual metadata fields (e.g. averageUserRating, releaseNotes, sellerUrl, price) can be null when Apple does not provide them for an app. | array |
includeReviews | When looking up apps by ID, also fetch each app's customer reviews (author, rating, title, body, version, date) from Apple's public reviews feed. Ignored in Search mode. | boolean |
maxReviews | Maximum number of customer reviews to fetch per app when "Include reviews" is on. Apple's feed serves roughly 50 reviews per page across up to 10 pages (~500 max). | integer |
reviewsSort | Order in which to fetch reviews: most recent first, or most helpful first. | string |
country | Two-letter App Store storefront code, e.g. us, gb, ca, de, fr, jp, in. Affects which apps, prices, and reviews are returned. Use a valid ISO storefront code: an invalid code (e.g. "us-uk") is rejected by Apple's API and the actor returns a diagnostic row with no results instead of charging. | string |
maxItems | Maximum number of apps to return when using Search term. Apple's search caps at 200 results per query. | integer |
notionConnector | Optional. Write each app as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless. | string |
notionParentId | Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead. | string |
What you get
A structured dataset — each result includes fields like:
advisoriesappNameappStoreUrlartworkUrlaverageUserRatingaverageUserRatingCurrentVersionbundleIdcontentAdvisoryRatingcurrencycurrentVersionReleaseDatedescriptiondeveloperdeveloperIdfileSizeBytesExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
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