# App Store Top Charts Scraper — Rankings by Country (`agency-shift/appstore-top-charts`) Actor Scrape App Store top charts by country and category. Monitor rankings, new entrants, and trending apps globally. Essential for ASO and app market research. - **URL**: https://apify.com/agency-shift/appstore-top-charts.md - **Developed by:** [Valdeir Lima](https://apify.com/agency-shift) (community) - **Categories:** Developer tools, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 Scraper — Rankings by Country & Category **Scrape the iOS App Store top charts** — Top Free, Top Paid and Top Grossing — for any country and category. Track **app rankings** over time for **ASO, market intelligence and competitor monitoring**. Built on Apple's official iTunes RSS feed: no API key, no login, no anti-bot. ### What it does - Pulls ranked apps (1–200) from the App Store charts - Any country (us, gb, de, fr, br…) and any category (genre ID) - Free / Paid / Grossing / iPad charts - Returns rank, app name, developer, category, price, release date, icon and URL ### Use cases - **ASO & competitor tracking** — watch who's climbing in your category - **Market intelligence** — spot breakout apps early, by country - **Geo research** — compare charts across markets for localization/expansion - **Trend monitoring** — schedule daily and track rank movement ### Input | Field | Type | Default | Description | |---|---|---|---| | `countries` | array | `["us"]` | App Store countries | | `chartType` | string | `topfreeapplications` | Free / Paid / Grossing / iPad | | `genreId` | string | — | iTunes genre ID (e.g. 6007 Productivity) | | `limit` | integer | `100` | Apps per chart (max 200) | ### Output ```json { "country": "us", "chartType": "topfreeapplications", "rank": 1, "appId": "123", "name": "Example", "artist": "Example Inc", "category": "Productivity", "price": "Free", "url": "https://apps.apple.com/...", "icon": "https://..." } ```` ### FAQ **API key?** None — uses Apple's public RSS feed. **Which categories?** Pass any iTunes genre ID (6007 Productivity, 6017 Education, 6023 Health, etc.). **Can I track rankings daily?** Yes — schedule it and store rank per app per day. # Actor input Schema ## `countries` (type: `array`): App Store countries to pull charts for (us, gb, de, fr, br...). ## `chartType` (type: `string`): Which chart to scrape. ## `genreId` (type: `string`): iTunes genre ID to filter (e.g. 6007 Productivity, 6017 Education, 6023 Health). Leave empty for all categories. ## `limit` (type: `integer`): How many ranked apps to return per country (max 200). ## Actor input object example ```json { "countries": [ "us" ], "chartType": "topfreeapplications", "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 = { "countries": [ "us" ] }; // Run the Actor and wait for it to finish const run = await client.actor("agency-shift/appstore-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 = { "countries": ["us"] } # Run the Actor and wait for it to finish run = client.actor("agency-shift/appstore-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 '{ "countries": [ "us" ] }' | apify call agency-shift/appstore-top-charts --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agency-shift/appstore-top-charts", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Top Charts Scraper — Rankings by Country", "description": "Scrape App Store top charts by country and category. Monitor rankings, new entrants, and trending apps globally. Essential for ASO and app market research.", "version": "0.0", "x-build-id": "eLIvfN8gJduNGvZlr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agency-shift~appstore-top-charts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agency-shift-appstore-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/agency-shift~appstore-top-charts/runs": { "post": { "operationId": "runs-sync-agency-shift-appstore-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/agency-shift~appstore-top-charts/run-sync": { "post": { "operationId": "run-sync-agency-shift-appstore-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", "required": [ "countries" ], "properties": { "countries": { "title": "Countries (ISO)", "type": "array", "description": "App Store countries to pull charts for (us, gb, de, fr, br...).", "items": { "type": "string" } }, "chartType": { "title": "Chart type", "enum": [ "topfreeapplications", "toppaidapplications", "topgrossingapplications", "topfreeipadapplications", "toppaidipadapplications" ], "type": "string", "description": "Which chart to scrape.", "default": "topfreeapplications" }, "genreId": { "title": "Category / genre ID (optional)", "type": "string", "description": "iTunes genre ID to filter (e.g. 6007 Productivity, 6017 Education, 6023 Health). Leave empty for all categories." }, "limit": { "title": "Apps per chart", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many ranked apps to return per country (max 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 } } } } } } } } } } ```