Skip to content

App Store & Google Play Scraper - Ratings & Prices

Rocketyard’s App Store & Google Play Scraper extracts app data from any website that publishes schema.org SoftwareApplication markup and returns one clean record per app: name, description, store url, image, category, genre and more. It runs on the Apify platform, so you can start it from the Apify Console, the REST API, an AI agent or a no-code tool.

  • App marketers and ASO teams benchmarking competitor apps
  • Market researchers and investors sizing app categories
  • Developers of app directories and comparison sites
  • Collect name, category, price, rating and rating count from app store and software pages
  • Monitor rating and price changes of competing apps
  • Build an app metadata dataset for analysis or AI

Websites publish schema.org SoftwareApplication markup (JSON-LD or microdata) so search engines can show rich results. The Actor fetches each page over plain HTTP without a browser, honours robots.txt and crawl-delay, reads that markup and maps it to the fields below. Because it reads the markup rather than the page layout, one Actor works across many sites and keeps working through redesigns. Give it a list of URLs, or a start page and let it crawl links on the same site.

A real record from a test run on apps.apple.com on 2026-11-11. Fields the page didn’t publish are left out here; the Actor returns them as null. The same test also read play.google.com.

{
"url": "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580",
"type": "SoftwareApplication",
"name": "Spotify: Music and Podcasts",
"description": "With the Spotify app, you can explore an extensive library of music and podcasts for free. Curate the best playlists and stream millions of free songs, albums, and original podcasts on your phone or tablet. Subscribe to Spotify Premium to download and listen offline wherever you are, and unlock o…",
"image": "https://is1-ssl.mzstatic.com/image/thumb/Purple211/v4/d5/ca/fa/d5cafa8a-079b-f708-4704-6cc55a8fb160/AppIcon-0-0-1x_U007epad-0-1-0-0-85-220.png/1200x630wa.png",
"category": "MultimediaApplication",
"genre": [
"Music",
"Entertainment"
],
"operatingSystem": "Requires iOS 16.1 and watchOS 10.0 or later. Compatible with iPhone, iPad, and iPod touch.",
"devices": "Apple TV, Apple Watch, iPhone, iPad",
"price": 0,
"priceCurrency": "USD",
"ratingValue": 4.8,
"ratingCount": 43060018,
"keywords": [
"Music",
"Entertainment",
"Audiobooks",
"Electronic Music",
"Music Streaming"
],
"scrapedAt": "2026-11-11T17:58:44.149Z"
}
Field Read from (schema.org) Filled in latest test
name name 100%
description description 100%
storeUrl url 50%
image image.url, image 100%
category applicationCategory 100%
genre genre 50%
operatingSystem operatingSystem 100%
devices availableOnDevice 50%
version softwareVersion 0%
price offers.price 100%
priceCurrency offers.priceCurrency 100%
contentRating contentRating 50%
fileSize fileSize 0%
ratingValue aggregateRating.ratingValue 100%
ratingCount aggregateRating.ratingCount, aggregateRating.reviewCount 100%
keywords keywords 50%
url the page the record came from 100%
scrapedAt ISO timestamp of the extraction 100%

A field is filled when the source publishes it. The Actor never guesses a value: a missing field comes back as null. “Filled in latest test” is the share of records from the latest test run (apps.apple.com and play.google.com) that had the field; other sources publish more or less.

You pay $0.50 per 1,000 results, plus a start fee of $0.00005 per run. Pages without SoftwareApplication markup produce a free error item instead of a record.

Results Cost
1,000 $0.50
10,000 $5.00
100,000 $50.00

Set maxItems or the run’s Maximum cost per run in Apify to cap spending.

Call it from any language with the Apify REST API, or with Apify’s JavaScript and Python clients. You need an Apify API token.

Terminal window
curl -s -X POST "https://api.apify.com/v2/acts/rocketyard~softwareapp-schema-scraper/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H 'content-type: application/json' \
-d '{"startUrls":[{"url":"https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"}],"maxItems":100}'
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('rocketyard/softwareapp-schema-scraper').call({"startUrls":[{"url":"https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"}],"maxItems":100});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
from apify_client import ApifyClient
client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("rocketyard/softwareapp-schema-scraper").call(run_input={"startUrls":[{"url":"https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"}],"maxItems":100})
items = client.dataset(run["defaultDatasetId"]).list_items().items

The synchronous endpoint returns the records directly. For long crawls, start the run asynchronously and read the dataset when it finishes.

Apify’s MCP server exposes this Actor as a tool to Claude, Cursor and other MCP clients. Open this Actor’s MCP setup page for setup steps per client, or connect it with this URL:

https://mcp.apify.com?tools=rocketyard/softwareapp-schema-scraper

Claude Code:

Terminal window
claude mcp add --transport http apify "https://mcp.apify.com?tools=rocketyard/softwareapp-schema-scraper"

Cursor (.cursor/mcp.json) and other clients that read an mcpServers config:

{
"mcpServers": {
"apify": { "url": "https://mcp.apify.com?tools=rocketyard/softwareapp-schema-scraper" }
}
}

On first use your browser opens so you can sign in to Apify. Then ask the agent, for example: “Collect name, category, price, rating and rating count from app store and software pages”. The tool returns JSON records, and the runs are billed to that Apify account at $0.50 per 1,000 results.

n8n, Make and Zapier all connect to Apify. Each example below uses Actor rocketyard/softwareapp-schema-scraper with this input:

{
"startUrls": [
{
"url": "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"
}
],
"maxItems": 100
}

Copy this workflow and paste it onto an n8n canvas. It runs the Actor every morning through an HTTP Request node and returns the records as n8n items.

{
"name": "App Store & Google Play Scraper daily",
"nodes": [
{
"parameters": {
"rule": {
"interval": [
{
"field": "days",
"daysInterval": 1,
"triggerAtHour": 7
}
]
}
},
"id": "c1f6a2d0-4a57-4b5e-9d7a-0a1b2c3d4e01",
"name": "Every day at 07:00",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
0,
0
]
},
{
"parameters": {
"method": "POST",
"url": "https://api.apify.com/v2/acts/rocketyard~softwareapp-schema-scraper/run-sync-get-dataset-items",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "{\n \"startUrls\": [\n {\n \"url\": \"https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580\"\n }\n ],\n \"maxItems\": 100\n}",
"options": {
"timeout": 300000
}
},
"id": "c1f6a2d0-4a57-4b5e-9d7a-0a1b2c3d4e02",
"name": "Run App Store & Google Play Scraper",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
260,
0
],
"credentials": {
"httpBearerAuth": {
"name": "Apify API token"
}
}
}
],
"connections": {
"Every day at 07:00": {
"main": [
[
{
"node": "Run App Store & Google Play Scraper",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {}
}

Then open the HTTP Request node and create an HTTP Bearer Auth credential named Apify API token, with your token from Apify Console as the bearer token. The token stays in n8n’s credential store; the workflow only names the credential. Change the input in the node’s JSON body to your own.

The node waits up to 300 seconds, which is also the limit of Apify’s synchronous endpoint. An input that yields nothing comes back as an item with an error field, which you can drop with a Filter node. Apify also publishes a community node, @apify/n8n-nodes-apify, with a Run an Actor and get dataset operation.

  1. Add Apify’s Run an Actor module and connect your Apify account.
  2. Choose rocketyard/softwareapp-schema-scraper, paste the input above and set Run synchronously to Yes. Make limits how long a synchronous run can take, depending on your plan. For longer runs, start the scenario from Watch Actor Runs instead.
  3. Add Get Dataset Items with the run’s default dataset ID.
  4. Send the items wherever you need them, for example with Google Sheets Add a Row, mapping name, description, storeUrl and image.
  1. Add Apify’s Run Actor action, connect your Apify account, choose rocketyard/softwareapp-schema-scraper and paste the input above.
  2. Zapier stops synchronous runs after 30 seconds. For anything larger than a small run, let the run continue in the background and start a second Zap from the Finished Actor run trigger.
  3. Add Fetch dataset items with the run’s dataset ID, then map name, description, storeUrl and image into your app.
  4. Test with a small input and check that the Zap handles every record before you turn it on.
  • Pages without schema.org SoftwareApplication markup return no record.
  • Markup added only by JavaScript in the browser is not read: the Actor reads the HTML the server sends.
  • Pages behind a login or paywall are not accessed, and paths that robots.txt disallows are skipped.

$0.50 per 1,000 results plus $0.00005 per run, billed by Apify. 10,000 results cost $5.00. There is no subscription, and you can cap any run with Maximum cost per run.

Your Apify plan sets your discount tier (Platinum and Diamond are enterprise tiers):

Tier Per 1,000 results
Free $0.50
Bronze $0.50
Silver $0.40
Gold $0.33
Platinum $0.33
Diamond $0.33

One request starts a run and returns its results, using your Apify API token:

Terminal window
curl -X POST "https://api.apify.com/v2/acts/rocketyard~softwareapp-schema-scraper/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"startUrls":[{"url":"https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"}],"maxItems":100}'

The dataset gets one free error item for it, with a code and the reason, and the other inputs in the run carry on. Error codes explains each code, whether a retry helps and what to do.

Any public page that publishes schema.org SoftwareApplication data in its HTML. Most modern sites add it for Google rich results.

The field comes back as null. The Actor reports what the source publishes and never fills in guesses.

The Actor reads public pages only, obeys robots.txt and crawl-delay, doesn’t log in or bypass protections, and doesn’t collect people’s profiles, personal emails or personal phone numbers. You are responsible for how you use the data under each site’s terms and the law (for example copyright and GDPR).

Yes. Connect Apify’s MCP server as shown in MCP, and the agent can call the Actor as a tool.

See how it compares with other app scrapers on price, users and run success, from Apify Store data. Need a field or site behaviour that isn’t covered? Open an issue on the Actor page.