# App Store Charts Tracker - Top Apps by Country with Rank Deltas (`gratifying_graph/app-charts-tracker`) Actor Daily App Store top charts (free, paid) plus Apple Music most-played, for any country, with rank changes vs your last run: who climbed, who dropped, who entered. Official Apple feeds, no key, no scraping. - **URL**: https://apify.com/gratifying\_graph/app-charts-tracker.md - **Developed by:** [Jimmy A](https://apify.com/gratifying_graph) (community) - **Categories:** Automation, Other - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 chart snapshots This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Charts Tracker - top apps by country, with rank deltas Daily **App Store top charts** (free and paid) and **Apple Music most-played** for any country, with the part the raw feeds don't give you: **rank changes vs your last run** - who climbed, who dropped, who entered the chart, who fell off. Official Apple marketing feeds. No key, no scraping, no review risk. ### What you get One row per chart entry: ```json { "country": "ca", "media": "apps", "chart": "top-free", "rank": 4, "id": "6476561442", "name": "FIFA World Cup 2026", "artist": "FIFA", "url": "https://apps.apple.com/...", "genres": ["Sports"], "prevRank": 9, "rankDelta": 5, "isNewEntry": false } ```` Plus a per-chart delta report after the first run: new entries, movers, and dropouts (apps that left the chart, with their last rank). ### Use cases - **ASO and competitor tracking**: watch your app and your rivals move daily, per storefront - **Market research**: which categories and publishers dominate which countries - **Trend detection**: schedule daily, alert on new chart entries (pair with a webhook) - **Music industry**: most-played albums and songs per country over time - **Datasets**: historical chart positions, exportable as CSV per run ### Charts supported | Chart | Path | |---|---| | Apps: Top Free | `apps/top-free/apps` | | Apps: Top Paid | `apps/top-paid/apps` | | Music: Most Played Albums | `music/most-played/albums` | | Music: Most Played Songs | `music/most-played/songs` | Any Apple storefront country code works (us, ca, gb, de, fr, jp, au, br, ...). Up to 200 entries per apps chart. ### API / Standby mode ``` GET /?country=ca&chart=apps/top-free/apps&size=50 ``` Returns entries with deltas synchronously - usable as an AI-agent tool. ### Pricing | Event | Price | |---|---| | Actor start | $0.0005 | | Chart snapshot (up to 200 entries) | $0.05 | | Rank-delta report | $0.02 | | API call (standby) | $0.02 | Daily tracking of 2 charts in 3 countries costs about $13/month. ### FAQ **Why not Google Play too?** Play has no official chart feed and its markup churns; scraping it means breakage and maintenance you would pay for. If demand shows up in Issues, a Play tier is the planned v2. **How fresh are the charts?** The feeds carry Apple's own `updated` timestamp, typically refreshed daily. **Where do deltas come from?** The actor stores each chart's ranks between runs (per country + chart). First run saves the baseline; every run after reports changes. # Actor input Schema ## `countries` (type: `array`): Two-letter storefront codes (us, ca, gb, de, fr, jp, ...). ## `charts` (type: `array`): Which charts to pull. ## `chartSize` (type: `integer`): Entries per chart (Apple supports up to 200 for apps). ## `trackDeltas` (type: `boolean`): Compare against the previous run: rank delta, new entries, dropouts. ## Actor input object example ```json { "countries": [ "us", "ca" ], "charts": [ "apps/top-free/apps", "apps/top-paid/apps" ], "chartSize": 50, "trackDeltas": true } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "countries": [ "us", "ca" ] }; // Run the Actor and wait for it to finish const run = await client.actor("gratifying_graph/app-charts-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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", "ca", ] } # Run the Actor and wait for it to finish run = client.actor("gratifying_graph/app-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", "ca" ] }' | apify call gratifying_graph/app-charts-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gratifying_graph/app-charts-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Charts Tracker - Top Apps by Country with Rank Deltas", "description": "Daily App Store top charts (free, paid) plus Apple Music most-played, for any country, with rank changes vs your last run: who climbed, who dropped, who entered. Official Apple feeds, no key, no scraping.", "version": "1.0", "x-build-id": "Dl5IBObhHBjDc4UdB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gratifying_graph~app-charts-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gratifying_graph-app-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gratifying_graph~app-charts-tracker/runs": { "post": { "operationId": "runs-sync-gratifying_graph-app-charts-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gratifying_graph~app-charts-tracker/run-sync": { "post": { "operationId": "run-sync-gratifying_graph-app-charts-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 storefront codes (us, ca, gb, de, fr, jp, ...).", "items": { "type": "string" } }, "charts": { "title": "Charts", "type": "array", "description": "Which charts to pull.", "items": { "type": "string", "enum": [ "apps/top-free/apps", "apps/top-paid/apps", "music/most-played/albums", "music/most-played/songs" ], "enumTitles": [ "Apps: Top Free", "Apps: Top Paid", "Music: Most Played Albums", "Music: Most Played Songs" ] }, "default": [ "apps/top-free/apps", "apps/top-paid/apps" ] }, "chartSize": { "title": "Chart size", "minimum": 1, "maximum": 200, "type": "integer", "description": "Entries per chart (Apple supports up to 200 for apps).", "default": 50 }, "trackDeltas": { "title": "Track rank changes", "type": "boolean", "description": "Compare against the previous run: rank delta, new entries, dropouts.", "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 } } } } } } } } } } ```