Telegram vs Signal: App Store Ratings Side by Side
Both listings in one run: rating average, total ratings, current version, size and release notes. This one returns metadata only, no reviews.
What this run is set to
The settings saved on this example. Every one of them is editable once you open it on Apify — these are a starting point, not a limit.
| Setting | Value | What it does |
|---|---|---|
App IDs (trackId or bundleId) | 686449807, 874139669 | Look up specific apps by numeric trackId (e.g. "1232780281") or bundleId (e.g. "net.shinyfrog.bear"). |
Country / storefront | us | Two-letter App Store storefront code, e.g. us, gb, ca, de, fr, jp, in. |
Include reviews | off | When looking up apps by ID, also fetch each app's customer reviews (author, rating, title, body, version. |
Pricing
$0.00009 per app = $0.09 per 1,000
| You are charged for | When | Price |
|---|---|---|
| App returned | Charged per app/result returned. | $0.00009 |
Pay-per-event pricing: you are billed per result, not per subscription. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-08-04, and they are what you are actually charged.
What you get
A structured dataset — each result includes fields like:
advisoriesappNameappStoreUrlartworkUrlaverageUserRatingaverageUserRatingCurrentVersionbundleIdcontentAdvisoryRatingcurrencycurrentVersionReleaseDatedescriptiondeveloperdeveloperIdfileSizeBytesuserRatingCountformattedPriceExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
More use cases for App Store Scraper
- Try
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Built on App Store Scraper — every input, output field, price and the full how-to are on the tool page.
Where this tool sits
- Categories
- App Store Data
- Platforms
- App Store & Google Play