# Music Charts Tracker: Apple Music Ranks by Country (`scrapemint/music-charts-tracker`) Actor Apple Music top songs and albums charts for any country, up to 100 ranks per chart, from Apple's official feeds. Scheduled runs add rank movement: previous rank, change, new entries, artist drop-offs. For artists, labels and playlist marketers. Keyless. - **URL**: https://apify.com/scrapemint/music-charts-tracker.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Marketing, Business - **Stats:** 2 total users, 1 monthly users, 100.0% 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 ## Music Charts Tracker: Apple Music Ranks by Country Apple Music charts are different in every country, and they move every day. This actor pulls the official most-played songs and albums charts for any list of countries in one run, up to 100 ranks per chart. Schedule it and every run also tells you what moved: previous rank, change, new entries, artist drop-offs. No login, no API key, no subscription. Chart analytics platforms charge $10 to $140 a month for dashboards built on this data. Here you pay per row and the first rows of every run are free. ### What you get One row per ranked entry per chart: | Field | Description | |---|---| | `country`, `chartType` | Which chart this row is from (`top-songs` or `top-albums`) | | `rank` | Current chart position | | `previousRank`, `rankChange`, `isNew` | Movement versus your previous run (with "Compare with previous run" on) | | `droppedOff` | For tracked artists that left the chart | | `itemId` | Apple Music song or album id | | `name`, `artistName`, `artistId`, `artistUrl` | Title and artist, with joinable artist id | | `genres` | Genre names | | `releaseDate`, `contentAdvisoryRating` | Release date and explicit flag | | `itemUrl`, `artworkUrl` | Apple Music deep link and cover art | | `checkedAt` | Timestamp | ### Input - **Countries**: any Apple storefront codes (`us, gb, de, br, jp, in, ng, ke, ...`) - **Chart types**: top songs, top albums, or both - **Chart depth**: up to 100 ranks per chart - **Track only these artists**: give Apple artist ids and get only their entries; artists with no chart entry return a **free** `rank: null` row, so "not charting" costs nothing - **Compare with previous run**: keeps rank history between runs for movement fields 5 countries x both charts x top 100 = 1,000 rows in a single run. ### Pricing Pay per result: **$0.003 per chart row**. First 2 rows of every run are free. Tracked artists missing from a chart are always free rows. Following one artist across 20 countries daily costs at most $0.06 a day even when they chart everywhere. A daily top-100 songs sweep of 10 countries is $3 a run. ### Typical uses - **Artists and managers**: track your releases across every market, daily, with movement. - **Labels and distributors**: catch a track breaking in one territory before it spreads. - **Playlist and TikTok music marketers**: risers by country are the pitch list. - **Music journalists and chart-watch accounts**: automated movement feeds per market. - **A&R research**: which genres and artists dominate which storefronts. ### Scheduling Run it daily on an Apify schedule with "Compare with previous run" on. Rank history is kept per chart in a named key-value store, so movement fields are computed automatically. Consume rows via the API, webhooks, or the Google Sheets integration. ### Data notes Data comes from Apple's official public chart feeds and reflects chart state at run time. Apple refreshes charts throughout the day; movement fields compare against your own previous run, so a stable schedule gives the cleanest deltas. # Actor input Schema ## `countries` (type: `array`): Apple storefront country codes, e.g. us, gb, de, br, jp, ng, ke. One chart per country per chart type. ## `chartTypes` (type: `array`): Which Apple Music charts to pull. ## `topN` (type: `integer`): How many ranks to pull per chart (Apple serves up to 100). ## `trackArtistIds` (type: `array`): Apple artist ids (the number in an Apple Music artist URL). When set, only entries by these artists produce rows; artists with no chart entry produce a FREE rank:null row so you still get the answer. ## `compareWithPrevious` (type: `boolean`): Remember ranks between runs and report previousRank, rankChange, isNew and droppedOff. Turn on with a schedule for daily movement tracking. ## Actor input object example ```json { "countries": [ "us", "gb" ], "chartTypes": [ "top-songs" ], "topN": 50, "trackArtistIds": [], "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", "gb" ], "chartTypes": [ "top-songs" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/music-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", "gb", ], "chartTypes": ["top-songs"], } # Run the Actor and wait for it to finish run = client.actor("scrapemint/music-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", "gb" ], "chartTypes": [ "top-songs" ] }' | apify call scrapemint/music-charts-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/music-charts-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Music Charts Tracker: Apple Music Ranks by Country", "description": "Apple Music top songs and albums charts for any country, up to 100 ranks per chart, from Apple's official feeds. Scheduled runs add rank movement: previous rank, change, new entries, artist drop-offs. For artists, labels and playlist marketers. Keyless.", "version": "0.1", "x-build-id": "yKxMDbNlWk26eBBxl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~music-charts-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-music-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~music-charts-tracker/runs": { "post": { "operationId": "runs-sync-scrapemint-music-charts-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~music-charts-tracker/run-sync": { "post": { "operationId": "run-sync-scrapemint-music-charts-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Apple storefront country codes, e.g. us, gb, de, br, jp, ng, ke. One chart per country per chart type.", "default": [ "us" ], "items": { "type": "string" } }, "chartTypes": { "title": "Chart types", "type": "array", "description": "Which Apple Music charts to pull.", "items": { "type": "string", "enum": [ "top-songs", "top-albums" ], "enumTitles": [ "Top Songs (most played)", "Top Albums (most played)" ] }, "default": [ "top-songs" ] }, "topN": { "title": "Chart depth", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many ranks to pull per chart (Apple serves up to 100).", "default": 50 }, "trackArtistIds": { "title": "Track only these artists (optional)", "type": "array", "description": "Apple artist ids (the number in an Apple Music artist URL). When set, only entries by these artists produce rows; artists with no chart entry produce a FREE rank:null row so you still get the answer.", "default": [], "items": { "type": "string" } }, "compareWithPrevious": { "title": "Compare with previous run", "type": "boolean", "description": "Remember ranks between runs and report previousRank, rankChange, isNew and droppedOff. Turn on with a schedule for daily movement tracking.", "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 } } } } } } } } } } ```