# App Store Top Charts Tracker: Ranks by Country & Category (`scrapemint/app-store-top-charts-tracker`) Actor Track Apple App Store top charts (free, paid, grossing) by country and category. One row per ranked app with rank movement vs your previous run. Official keyless feeds, no browser, no API key. Pay per rank row. - **URL**: https://apify.com/scrapemint/app-store-top-charts-tracker.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Marketing, Business - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## App Store Top Charts Tracker: Ranks by Country & Category Track Apple App Store top charts as structured data. Pick countries, chart types (top free, top paid, top grossing), and optionally categories, and get one JSON row per ranked app — with rank movement against your previous run built in. Reads Apple's official public chart feeds: no browser, no proxy, no API key, no scraping games. Built for app developers watching their own rank, ASO agencies reporting to clients, and publishers scouting rising apps across countries and categories. Put it on a daily schedule and you have rank history the subscription tools charge $40+/month for. ### What you get One row per ranked app per chart, with: - `rank`, `previousRank`, `rankChange` (positive = climbed), `isNew` (entered the chart since last run) - `appId`, `bundleId`, `name`, `artist`, `appUrl`, `artworkUrl` - `price`, `currency`, `categoryId`, `categoryName`, `releaseDate` - `country`, `chartType`, `chartCategoryId`, `checkedAt` Chart state persists per chart in a named key-value store in your account (`app-charts-state`), so scheduled runs compare automatically. ### Input - `countries` (two-letter codes: us, gb, de, jp, br, ...) - `chartTypes` (`top-free`, `top-paid`, `top-grossing`) - `categoryIds` (Apple genre IDs, e.g. 6014 Games, 6015 Finance, 6005 Social Networking; empty = overall charts) - `topN` (chart depth, up to 200) - `trackAppIds` (only report these apps; not-found rows are free) - `compareWithPrevious` (default on) ### Example input ```json { "countries": ["us", "de"], "chartTypes": ["top-free", "top-grossing"], "categoryIds": ["6014"], "topN": 100, "trackAppIds": ["1195621598"] } ```` ### Example output ```json { "country": "us", "chartType": "top-grossing", "chartCategoryId": "6014", "rank": 31, "previousRank": 47, "rankChange": 16, "isNew": false, "appId": "1195621598", "name": "Homescapes", "artist": "Playrix", "price": 0, "currency": "USD", "categoryName": "Games", "checkedAt": "2026-07-07T12:00:00.000Z" } ``` ### Uses - Daily rank history for your own app across countries, straight into a dashboard - ASO agency reporting: client rank movement per market, as rows not screenshots - Spot rising apps: filter `isNew` or large positive `rankChange` in any category - Competitive tracking: watch a rival's grossing rank after their update ships - Market research: compare category charts across countries ### Pricing Pay per rank row. Tracked apps that are not found in a chart produce a free row (so "not charting" costs nothing), and charts that fail to fetch cost nothing. The first 2 rows of every run are free. ### Notes - Data comes from Apple's official public chart feeds, refreshed by Apple throughout the day. Chart depth is up to 200 per chart. - Category IDs are Apple genre IDs; the common ones are listed at the bottom of the input schema, and any ID from Apple's genre taxonomy works. - Google Play charts are not included (Google exposes no public feed); if you need Play data, pair this with a Play scraping actor. # Actor input Schema ## `countries` (type: `array`): Two-letter App Store country codes, e.g. us, gb, de, jp, br. ## `chartTypes` (type: `array`): Which charts to pull: top-free, top-paid, top-grossing. ## `categoryIds` (type: `array`): Apple genre IDs to scope charts to a category, e.g. 6014 (Games), 6015 (Finance), 6005 (Social). Empty = overall charts. ## `topN` (type: `integer`): How many ranks to return per chart (up to 200). ## `trackAppIds` (type: `array`): Apple app IDs (the number in the store URL). When set, only these apps' rank rows are pushed; apps not found in a chart produce a free rank:null row. ## `compareWithPrevious` (type: `boolean`): Remember each chart between runs and add previousRank, rankChange, and isNew to every row. Built for scheduled runs. ## Actor input object example ```json { "countries": [ "us" ], "chartTypes": [ "top-free" ], "categoryIds": [], "topN": 50, "trackAppIds": [], "compareWithPrevious": true } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "countries": [ "us" ], "chartTypes": [ "top-free" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/app-store-top-charts-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "countries": ["us"], "chartTypes": ["top-free"], } # Run the Actor and wait for it to finish run = client.actor("scrapemint/app-store-top-charts-tracker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "countries": [ "us" ], "chartTypes": [ "top-free" ] }' | apify call scrapemint/app-store-top-charts-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/app-store-top-charts-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Top Charts Tracker: Ranks by Country & Category", "description": "Track Apple App Store top charts (free, paid, grossing) by country and category. One row per ranked app with rank movement vs your previous run. Official keyless feeds, no browser, no API key. Pay per rank row.", "version": "0.1", "x-build-id": "GsbDgVwV0YuphDKdI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~app-store-top-charts-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-app-store-top-charts-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~app-store-top-charts-tracker/runs": { "post": { "operationId": "runs-sync-scrapemint-app-store-top-charts-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~app-store-top-charts-tracker/run-sync": { "post": { "operationId": "run-sync-scrapemint-app-store-top-charts-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "countries": { "title": "Countries", "type": "array", "description": "Two-letter App Store country codes, e.g. us, gb, de, jp, br.", "default": [ "us" ], "items": { "type": "string" } }, "chartTypes": { "title": "Chart types", "type": "array", "description": "Which charts to pull: top-free, top-paid, top-grossing.", "default": [ "top-free" ], "items": { "type": "string" } }, "categoryIds": { "title": "Category IDs (optional)", "type": "array", "description": "Apple genre IDs to scope charts to a category, e.g. 6014 (Games), 6015 (Finance), 6005 (Social). Empty = overall charts.", "default": [], "items": { "type": "string" } }, "topN": { "title": "Chart depth", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many ranks to return per chart (up to 200).", "default": 50 }, "trackAppIds": { "title": "Track only these app IDs (optional)", "type": "array", "description": "Apple app IDs (the number in the store URL). When set, only these apps' rank rows are pushed; apps not found in a chart produce a free rank:null row.", "default": [], "items": { "type": "string" } }, "compareWithPrevious": { "title": "Compare with previous run", "type": "boolean", "description": "Remember each chart between runs and add previousRank, rankChange, and isNew to every row. Built for scheduled runs.", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```