App Store Rankings Scraper — iOS & Android Top Charts

Track Apple App Store and Google Play Store top chart rankings across multiple countries, categories, and chart types — all in a single run. Get the same ranking data as Sensor Tower at 1/100th the cost.

✨ What does this scraper do?

This Actor retrieves app ranking charts from both major app stores and outputs flat, timestamped rows — ready for Google Sheets, BigQuery, or any CSV-compatible tool.

Feature	Details
🍎 Apple App Store	Full iOS rankings with ratings, reviews, and metadata
🤖 Google Play Store	Full Android rankings with ratings, reviews, and metadata
🌍 60+ countries	US, Japan, Germany, UK, and more
📂 26+ categories per store	Games, Health & Fitness, Finance, and more
📊 3 chart types	Top Free, Top Paid, Top Grossing
📈 Up to 100 apps per chart	Full official chart depth
⚡ Batch processing	All country × category × chart combinations in one run

Zero-config start

Just click Start with default settings — no configuration needed. You'll immediately get the US Top 100 Free apps for both Apple App Store and Google Play Store.

💰 Cost comparison

Tool	Monthly Cost	Both Stores?	Batch Processing?
Sensor Tower	$200+	✅	❌
data.ai	$500+	✅	❌
42matters	$150+	❌	❌
Other Apify Actors	$3–50	❌ (one store only)	❌
This Actor	$3–30	✅	✅

For users who only need ranking position data — not download estimates, revenue models, or ad intelligence — this Actor delivers the same core data at a fraction of the price.

🎯 Use cases

• Indie developers — Track your app and competitors' rankings daily across iOS and Android. Visualize movements in Google Sheets.
• ASO consultants — Automate ranking reports for multiple clients across both stores. Save 60+ hours/month of manual store-checking.
• VC due diligence — Monitor investee app ranking trends across key markets before committing to expensive analytics subscriptions.
• Market researchers — Analyze cross-platform category trends with structured, timestamped data.

📖 How to use

Step 1: Configure input

1. Select stores — Apple, Google, or both
2. Choose countries — Pick from 60+ countries 🇺🇸🇯🇵🇩🇪🇬🇧
3. Select categories — Overall, Games, Finance, Health & Fitness, etc.
4. Choose chart types — Top Free, Top Paid, Top Grossing
5. Set limit — 1–100 apps per chart (default: 100)

Step 2: Run

Click Start and wait. A typical run completes in under 60 seconds.

Step 3: Export data

Download results as CSV, JSON, Excel, or connect to Google Sheets / BigQuery via Apify integrations.

Input example: Track fitness apps across 3 countries

{
  "stores": ["apple", "google"],
  "appleCountries": ["us", "jp", "de"],
  "appleCategories": ["6013"],
  "appleChartTypes": ["topfreeapplications", "topgrossingapplications"],
  "googleCountries": ["us", "jp", "de"],
  "googleCategories": ["HEALTH_AND_FITNESS"],
  "googleChartTypes": ["topselling_free", "topgrossing"],
  "limit": 50
}

This produces: 3 countries × 1 category × 2 charts × 2 stores × 50 apps = 600 rows in a single run.

📊 Output

Each row represents one app in one chart. The output is a flat table — perfect for pivot tables, time-series analysis, and direct import into analytical tools.

Field	Type	Description	Example
store	string	App store origin	"apple" or "google"
appId	string	Unique app identifier	"6448311069"
rank	integer	Chart position (1-indexed)	1
iconUrl	string	App icon image URL	"https://..."
appName	string	App display name	"ChatGPT"
appUrl	string	Direct link to store page	"https://..."
rating	number | string	Average user rating (1 decimal), or "Not enough reviews yet"	4.8
ratingCount	integer | string	Total number of ratings, or "Rating count not available"	6048510
price	string	Price display (Free apps = "Free")	"Free"
developer	string	Developer / publisher name	"OpenAI OpCo, LLC"
category	string	Human-readable category name (English)	"Overall", "Games"
chartType	string	Normalized chart type	"top-free"
genres	string	Genre tags (comma-separated)	"Productivity, Utilities"
country	string	ISO 3166-1 alpha-2 country code	"us"
releaseDate	string	Original release date, or "Release date not available"	"2023-05-18"
scrapedAt	string	UTC timestamp (ISO 8601)	"2026-03-11T12:00:00Z"

Output example (Apple App Store)

{
  "store": "apple",
  "appId": "6448311069",
  "rank": 1,
  "iconUrl": "https://is1-ssl.mzstatic.com/image/thumb/Purple211/v4/.../100x100bb.png",
  "appName": "ChatGPT",
  "appUrl": "https://apps.apple.com/us/app/chatgpt/id6448311069",
  "rating": 4.8,
  "ratingCount": 6048510,
  "price": "Free",
  "developer": "OpenAI OpCo, LLC",
  "category": "Overall",
  "chartType": "top-free",
  "genres": "Productivity, Utilities",
  "country": "us",
  "releaseDate": "2023-05-18",
  "scrapedAt": "2026-03-11T05:11:05.504Z"
}

Output example (Google Play Store)

{
  "store": "google",
  "appId": "com.einnovation.temu",
  "rank": 1,
  "iconUrl": "https://play-lh.googleusercontent.com/...",
  "appName": "Temu: Shop Like a Billionaire",
  "appUrl": "https://play.google.com/store/apps/details?id=com.einnovation.temu",
  "rating": 4.5,
  "ratingCount": 12345678,
  "price": "Free",
  "developer": "Temu",
  "category": "Overall",
  "chartType": "top-free",
  "genres": "Shopping",
  "country": "us",
  "releaseDate": "2022-09-01",
  "scrapedAt": "2026-03-11T05:11:29.503Z"
}

📅 Daily scheduling for trend tracking

This Actor is optimized for daily scheduled runs. Set up an Apify Schedule to automatically build ranking history over time.

Recommended workflow:

1. Configure the Actor with your desired countries, categories, and chart types
2. Set up a daily schedule (e.g., 09:00 UTC)
3. Connect an integration to auto-export to Google Sheets, BigQuery, or a webhook
4. Build time-series ranking charts and track movements over weeks and months

💵 Pricing

This Actor uses pay-per-event pricing. You pay only for the data you extract.

Event	Charge	Description
Actor start	$0.00005	Charged once per run
Per result row	$0.001	Per app in the output dataset

Cost examples

Use Case	Configuration	Cost / Run	Monthly (daily)
🟢 Light	1 country, 1 category, Top 50 (both stores)	~$0.10	~$3
🔵 Basic	1 country, 1 category, Top 100 (Apple only)	~$0.10	~$3
🟣 Standard	3 countries, 3 categories, Top 100 (both stores)	~$1.80	~$54

With Apify's free tier ($5 credit), you can track the US Top 100 for both stores daily for about a month — completely free.

📂 Supported categories

🌍 Supported countries (60+)

Both Apple App Store and Google Play Store support the same set of countries:

⚙️ Technical details

Aspect	Details
Data freshness	Real-time — data is fetched directly from official store APIs at the time of each run
Error handling	Partial failure tolerance — if one country or category fails, all other successful results are saved
Memory	256–1024 MB
Runtime	Typically under 60 seconds for standard configurations

📬 Feedback & support

If you have any questions, feature requests, or encounter any issues, please open an issue on the Actor's page. We'd love to hear from you!