# Podcast Charts Tracker: Apple Ranks by Country & Genre (`scrapemint/podcast-charts-tracker`) Actor Apple Podcasts top charts for any country and genre, up to 200 ranks per chart, from Apple's official feeds. Scheduled runs add rank movement: previous rank, change, new entries, drop-offs per show. For podcasters, agencies and sponsors. Keyless. - **URL**: https://apify.com/scrapemint/podcast-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 ## Podcast Charts Tracker: Apple Ranks by Country & Genre Apple Podcasts charts are the scoreboard of podcasting, and they are different in every country and genre. This actor pulls them straight from Apple's official chart feeds: any country, any genre, up to 200 ranks per chart, one run. Schedule it and every run also tells you what moved: previous rank, change, new entries, drop-offs. No login, no API key, no subscription. Since Chartable shut down, rank tracking tools charge $19 to $160 a month. Here you pay per row and the first rows of every run are free. ### What you get One row per ranked podcast per chart: | Field | Description | |---|---| | `country`, `genre` | Which chart this row is from | | `rank` | Current chart position | | `previousRank`, `rankChange`, `isNew` | Movement versus your previous run (with "Compare with previous run" on) | | `droppedOff` | For tracked shows that left the chart | | `podcastId` | Apple podcast id (joinable with lookup APIs and RSS feeds) | | `name`, `publisher` | Show and publisher | | `categoryName`, `summary` | Genre label and show description | | `podcastUrl`, `artworkUrl` | Apple Podcasts page and cover art | | `checkedAt` | Timestamp | ### Input - **Countries**: any Apple storefront codes (`us, gb, de, in, br, jp, au, ng, ke, ...`) - **Genres**: overall chart plus 19 genres (Business, Comedy, News, True Crime, Technology, ...) - **Chart depth**: up to 200 ranks per chart - **Track only these podcasts**: give your show ids and get only their rows; shows absent from a chart return a **free** `rank: null` row, so "not charting" costs nothing - **Compare with previous run**: keeps rank history between runs for movement fields 2 countries x 3 genres x top 100 = 600 rows in a single run. ### Pricing Pay per result: **$0.003 per chart row**. First 2 rows of every run are free. Tracked shows missing from a chart are always free rows. Watching your own show across 10 countries daily costs at most $0.03 a day. A full daily top-100 sweep of one country's 20 charts is $6 a month. ### Typical uses - **Podcasters**: track your show's rank across every country you care about, daily, with movement. - **Agencies and networks**: client reporting without a $160/month analytics seat. - **Sponsors and advertisers**: spot rising shows in a genre before their rate card catches up. - **Guest booking and PR**: pair with the [Podcast Host Leads](https://apify.com/scrapemint/podcast-host-leads) actor — this one tells you which shows are hot, that one turns show lists into host contact emails. - **Media and newsletters**: chart movement stories per market. ### 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, in, br, au. One chart per country per genre. ## `genres` (type: `array`): Podcast genres to pull. "all" is the overall chart. ## `topN` (type: `integer`): How many ranks to pull per chart (Apple serves up to 200). ## `trackPodcastIds` (type: `array`): Apple podcast ids (e.g. 1200361736 or id1200361736). When set, only these shows produce rows; shows not in a chart 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" ], "genres": [ "all" ], "topN": 50, "trackPodcastIds": [], "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" ], "genres": [ "all" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/podcast-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", ], "genres": ["all"], } # Run the Actor and wait for it to finish run = client.actor("scrapemint/podcast-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" ], "genres": [ "all" ] }' | apify call scrapemint/podcast-charts-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/podcast-charts-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Podcast Charts Tracker: Apple Ranks by Country & Genre", "description": "Apple Podcasts top charts for any country and genre, up to 200 ranks per chart, from Apple's official feeds. Scheduled runs add rank movement: previous rank, change, new entries, drop-offs per show. For podcasters, agencies and sponsors. Keyless.", "version": "0.1", "x-build-id": "b3SpZkxipOtmBJXPq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~podcast-charts-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-podcast-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~podcast-charts-tracker/runs": { "post": { "operationId": "runs-sync-scrapemint-podcast-charts-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~podcast-charts-tracker/run-sync": { "post": { "operationId": "run-sync-scrapemint-podcast-charts-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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, in, br, au. One chart per country per genre.", "default": [ "us" ], "items": { "type": "string" } }, "genres": { "title": "Genres", "type": "array", "description": "Podcast genres to pull. \"all\" is the overall chart.", "items": { "type": "string", "enum": [ "all", "arts", "business", "comedy", "education", "fiction", "government", "health-fitness", "history", "kids-family", "leisure", "music", "news", "religion-spirituality", "science", "society-culture", "sports", "technology", "true-crime", "tv-film" ], "enumTitles": [ "All (overall chart)", "Arts", "Business", "Comedy", "Education", "Fiction", "Government", "Health & Fitness", "History", "Kids & Family", "Leisure", "Music", "News", "Religion & Spirituality", "Science", "Society & Culture", "Sports", "Technology", "True Crime", "TV & Film" ] }, "default": [ "all" ] }, "topN": { "title": "Chart depth", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many ranks to pull per chart (Apple serves up to 200).", "default": 50 }, "trackPodcastIds": { "title": "Track only these podcasts (optional)", "type": "array", "description": "Apple podcast ids (e.g. 1200361736 or id1200361736). When set, only these shows produce rows; shows not in a chart 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 } } } } } } } } } } ```