# App Store Top Charts — Free / Paid / Grossing by Genre (`v0iddo/app-store-top-charts`) Actor Pull Apple App Store top charts (free, paid, grossing) for any country and genre. One row per (chart × country × app) with rank, name, developer, price, links. Public iTunes RSS — datacenter-friendly, no auth. - **URL**: https://apify.com/v0iddo/app-store-top-charts.md - **Developed by:** [vøiddo](https://apify.com/v0iddo) (community) - **Categories:** E-commerce, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $0.10 / 1,000 apple app store chart entries This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 Snapshot Apple App Store top charts — free, paid, grossing — for any country and genre. One row per chart entry with rank, name, developer, price, category, links. Public iTunes RSS, no auth, datacenter-friendly. ### What you get ```` { "snapshotAt": "2026-06-03T06:55:11+00:00", "chart": "topfreeapplications", "country": "us", "genreId": "0", "rank": 1, "appId": "6448311069", "trackName": "ChatGPT", "artistName": "OpenAI", "artistUrl": "https://apps.apple.com/us/developer/openai/id1455318716", "category": "Productivity", "categoryId": "6007", "releaseDate": "2023-05-18T07:00:00-07:00", "price": "0.00000", "currency": "USD", "priceLabel": "Get", "summary": "Introducing ChatGPT for iOS…", "appUrl": "https://apps.apple.com/us/app/chatgpt/id6448311069?uo=2", "artworkUrl": "https://is1-ssl.mzstatic.com/image/thumb/…/source/170x170bb.png" } ```` ### How to use **Input.** ```json { "chartTypes": ["topfreeapplications", "toppaidapplications", "topgrossingapplications"], "countries": ["us", "gb", "de", "jp"], "genreIds": ["0", "6014", "6017"], "limit": 100 } ```` `chartTypes` — `topfreeapplications`, `toppaidapplications`, or `topgrossingapplications`. Empty defaults to free. `countries` — ISO 3166-1 alpha-2 codes per storefront. Each store has its own ranking. `genreIds` — numeric Apple genre IDs. Common: | ID | Genre | |---|---| | `0` | All / Overall | | `6014` | Games | | `6005` | Social Networking | | `6017` | Education | | `6023` | Finance | | `6020` | Medical | | `6018` | Books | | `6024` | Entertainment | | `6011` | Music | | `6013` | Health & Fitness | | `6021` | Lifestyle | | `6015` | Business | Full list: `limit` — apps per chart, 1-200. Apple caps at 200. ### Pricing PAY\_PER\_EVENT · `$0.0001 per chart_entry` · 10 000 entries = $1. ### Buyer - ASO consultants tracking competitor rank shifts. - Mobile-marketing teams running weekly chart-position reports. - Indie devs watching category-rank moves before launching. - Investors tracking "who's blowing up on the App Store this week". ### Source `https://itunes.apple.com//rss//limit=/genre=/json` — Apple's free public RSS, no auth. Actor paces 0.25 s between requests. # Actor input Schema ## `chartTypes` (type: `array`): Which charts to pull. Valid: `topfreeapplications`, `toppaidapplications`, `topgrossingapplications`. Empty = all three. ## `countries` (type: `array`): ISO 3166-1 alpha-2 storefront codes. Examples: `us`, `gb`, `de`, `jp`, `br`. Each country has its own charts. ## `genreIds` (type: `array`): Numeric Apple genre IDs. Examples: `0` (all), `6005` (Social Networking), `6014` (Games), `6017` (Education), `6020` (Medical), `6023` (Finance). Empty = `0` (overall, no genre filter). ## `limit` (type: `integer`): How many apps to pull per (chart × country × genre). Apple supports up to 200. ## Actor input object example ```json { "chartTypes": [ "topfreeapplications" ], "countries": [ "us" ], "genreIds": [ "0" ], "limit": 100 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("v0iddo/app-store-top-charts").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("v0iddo/app-store-top-charts").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 '{}' | apify call v0iddo/app-store-top-charts --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=v0iddo/app-store-top-charts", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Top Charts — Free / Paid / Grossing by Genre", "description": "Pull Apple App Store top charts (free, paid, grossing) for any country and genre. One row per (chart × country × app) with rank, name, developer, price, links. Public iTunes RSS — datacenter-friendly, no auth.", "version": "0.1", "x-build-id": "8fIeC3wcwDmx3Hf69" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/v0iddo~app-store-top-charts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-v0iddo-app-store-top-charts", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/v0iddo~app-store-top-charts/runs": { "post": { "operationId": "runs-sync-v0iddo-app-store-top-charts", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/v0iddo~app-store-top-charts/run-sync": { "post": { "operationId": "run-sync-v0iddo-app-store-top-charts", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "chartTypes": { "title": "Chart types", "type": "array", "description": "Which charts to pull. Valid: `topfreeapplications`, `toppaidapplications`, `topgrossingapplications`. Empty = all three.", "default": [ "topfreeapplications" ], "items": { "type": "string" } }, "countries": { "title": "Countries (2-letter ISO codes)", "type": "array", "description": "ISO 3166-1 alpha-2 storefront codes. Examples: `us`, `gb`, `de`, `jp`, `br`. Each country has its own charts.", "default": [ "us" ], "items": { "type": "string" } }, "genreIds": { "title": "Genre IDs", "type": "array", "description": "Numeric Apple genre IDs. Examples: `0` (all), `6005` (Social Networking), `6014` (Games), `6017` (Education), `6020` (Medical), `6023` (Finance). Empty = `0` (overall, no genre filter).", "default": [ "0" ], "items": { "type": "string" } }, "limit": { "title": "Apps per chart", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many apps to pull per (chart × country × genre). Apple supports up to 200.", "default": 100 } } }, "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 } } } } } } } } } } ```