App Store Rank Tracker — Top Charts History (iOS + Android)

Track the Apple App Store and Google Play top charts over time. One run captures today's rankings; a daily schedule turns it into an app ranking history with rank-change deltas — the data core of tools like Sensor Tower, at a fraction of the cost.

• 📈 Top Free, Top Paid, Top Grossing (+ Apple's "New") charts
• 🌍 Any country (us, in, gb, de, br, jp, ...), several at once
• 🗂 Category charts — Games, Finance, Social, Productivity, and more
• 🔁 Rank deltas built in: every row carries prevRank, rankChange, and isNew compared to your previous run
• 🗃 One continuous history table: optionally append every run to a named dataset in your account
• 📤 Export to Excel, CSV, JSON, or Parquet in one click, or pull via API

Why track app store rankings?

• ASO & growth teams — see exactly when your app (or a competitor) enters, climbs, or falls off a chart, per country.
• Market research — spot rising apps early: isNew: true + a big rankChange is the breakout signal.
• Investors & analysts — chart positions over time are a public, legal proxy for app momentum.
• Sensor Tower alternative — enterprise rank-intelligence suites start around $25k/year. If what you need is chart positions over time, this Actor gives you the raw table for pennies per snapshot.

How it works

1. Pick platforms, countries, and charts (defaults: Apple + Google, US, Top Free 100).
2. Run once — you get today's full ranking table.
3. Schedule it daily (Apify → Schedules → this Actor → e.g. @daily). From the second run, every row includes rank-change deltas. History compounds from the day you start — it cannot be backfilled later.

Apple charts come from Apple's official public feeds; Google Play charts from the public web store. Rankings are factual, public data — no login, no personal information.

Output example

{
    "platform": "google",
    "country": "us",
    "collection": "top_free",
    "category": "all",
    "snapshotDate": "2026-08-19",
    "rank": 4,
    "appId": "com.openai.chatgpt",
    "title": "ChatGPT",
    "developer": "OpenAI",
    "url": "https://play.google.com/store/apps/details?id=com.openai.chatgpt",
    "prevRank": 7,
    "rankChange": 3,
    "isNew": false,
    "prevSnapshotDate": "2026-08-18"
}

rankChange is positive when the app climbed (7 → 4 = +3), negative when it fell. isNew: true marks apps that were not on this chart in your previous snapshot.

Category IDs

Apple (appleCategory, numeric genre ID): 6014 Games · 6005 Social · 6015 Finance · 6007 Productivity · 6016 Entertainment · 6013 Health & Fitness · 6012 Lifestyle · 6008 Photo & Video · 6003 Travel · 6023 Food & Drink

Google Play (googleCategory): GAME, SOCIAL, FINANCE, PRODUCTIVITY, ENTERTAINMENT, HEALTH_AND_FITNESS, LIFESTYLE, PHOTOGRAPHY, TRAVEL_AND_LOCAL, FOOD_AND_DRINK, SHOPPING, EDUCATION

FAQ

How is this different from a one-shot app scraper? Most actors give you app details or reviews at a point in time. This one is built for time series: schedule it and it maintains state between runs, so you get rankChange and isNew on every row plus an optional ever-growing history dataset.

Can I download app ranking history as a spreadsheet? Yes — every run's dataset (and the named history dataset) exports to Excel, CSV, or JSON from the Apify console or API.

How many rows will I get? platforms × countries × charts × limit. Apple + Google, 2 countries, Top Free 100 = 400 rows per run. You are charged per chart row.

Is this legal? Chart rankings are factual, public data. Apple publishes official top-charts feeds; Google Play charts are public pages. The Actor collects no personal data.

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Built by rowsmith. Also see: App Store & Google Play Reviews Scraper for review exports from the same two stores.