# Apple Podcasts Scraper (`mangudai/apple-podcasts-scraper`) Actor Search Apple Podcasts and export show data and recent episodes. Give it keywords or Apple Podcasts links and get clean rows with RSS feeds, genres, artwork, and episode counts as JSON, CSV, or Excel. No login or API key. - **URL**: https://apify.com/mangudai/apple-podcasts-scraper.md - **Developed by:** [MangudΓ€i](https://apify.com/mangudai) (community) - **Categories:** Developer tools, News, Open source - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results 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 ## Apple Podcasts Scraper Search Apple Podcasts and export show data as JSON, CSV, or Excel. Give it keywords or Apple Podcasts links and it returns clean, structured rows for every matching show, with an option to pull recent episodes from each show's RSS feed. The data comes from Apple's public iTunes Search and Lookup API and from public podcast RSS feeds. No login, no API key, no captcha. ### What you can do - Search any keyword and get the matching shows, up to 200 per term. - Look up specific podcasts by Apple Podcasts URL or numeric ID. - Filter by country store and by Apple genre. - Optionally attach recent episodes (title, publish date, duration, audio URL) to each show. ### Input - searchTerms: keywords to search. Defaults to `technology` so a default run returns data right away. - podcastUrls: Apple Podcasts URLs or IDs to look up directly. - country: two-letter store code, for example `us`, `gb`, `de`. - genreId: optional Apple genre ID, for example 1488 for News. - maxResultsPerTerm: 1 to 200 shows per term. - includeEpisodes: set true to fetch each show's recent episodes. - maxEpisodesPerPodcast: how many recent episodes to keep per show. - proxyConfiguration: routes traffic through Apify Proxy. ### Output One row per podcast: name, artist, primaryGenre and genres, episodeCount, feedUrl, latestReleaseDate, artworkUrl, applePodcastsUrl, and the Apple collectionId. When includeEpisodes is on, each row also carries an episodes array with title, publish date, duration, and audio URL. ### Pricing Pay per result. You are charged a small amount for each podcast returned, plus a tiny actor start fee, priced below comparable Apple Podcasts scrapers on the store. ### Notes Apple's API returns complete results over standard connections, so runs are fast and reliable. For large jobs, keep Apify Proxy on to spread requests across IPs. # Actor input Schema ## `searchTerms` (type: `array`): Keywords to search Apple Podcasts. Each term returns matching shows. ## `podcastUrls` (type: `array`): Apple Podcasts URLs (like https://podcasts.apple.com/us/podcast/name/id123) or numeric collection IDs to look up directly. ## `country` (type: `string`): Two-letter country code of the Apple store to search (us, gb, de, fr, ca, au, and so on). ## `genreId` (type: `string`): Apple podcast genre ID to narrow a search, for example 1488 for News or 1303 for Comedy. ## `maxResultsPerTerm` (type: `integer`): How many shows to return per search term (1 to 200). ## `includeEpisodes` (type: `boolean`): Fetch each show's RSS feed and add its recent episodes to the output. ## `maxEpisodesPerPodcast` (type: `integer`): When episodes are included, how many recent ones to keep per show. ## `proxyConfiguration` (type: `object`): Route requests through Apify Proxy. Recommended for larger runs. ## Actor input object example ```json { "searchTerms": [ "technology" ], "podcastUrls": [], "country": "us", "maxResultsPerTerm": 50, "includeEpisodes": false, "maxEpisodesPerPodcast": 10, "proxyConfiguration": { "useApifyProxy": true } } ```` # Actor output Schema ## `podcasts` (type: `string`): No description # 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 = { "searchTerms": [ "technology" ], "country": "us", "maxResultsPerTerm": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("mangudai/apple-podcasts-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "searchTerms": ["technology"], "country": "us", "maxResultsPerTerm": 50, } # Run the Actor and wait for it to finish run = client.actor("mangudai/apple-podcasts-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchTerms": [ "technology" ], "country": "us", "maxResultsPerTerm": 50 }' | apify call mangudai/apple-podcasts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mangudai/apple-podcasts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple Podcasts Scraper", "description": "Search Apple Podcasts and export show data and recent episodes. Give it keywords or Apple Podcasts links and get clean rows with RSS feeds, genres, artwork, and episode counts as JSON, CSV, or Excel. No login or API key.", "version": "0.0", "x-build-id": "BJoc4rzLQ3AyvmsJN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mangudai~apple-podcasts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mangudai-apple-podcasts-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mangudai~apple-podcasts-scraper/runs": { "post": { "operationId": "runs-sync-mangudai-apple-podcasts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mangudai~apple-podcasts-scraper/run-sync": { "post": { "operationId": "run-sync-mangudai-apple-podcasts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerms": { "title": "Search terms", "type": "array", "description": "Keywords to search Apple Podcasts. Each term returns matching shows.", "default": [ "technology" ], "items": { "type": "string" } }, "podcastUrls": { "title": "Podcast URLs or IDs", "type": "array", "description": "Apple Podcasts URLs (like https://podcasts.apple.com/us/podcast/name/id123) or numeric collection IDs to look up directly.", "default": [], "items": { "type": "string" } }, "country": { "title": "Country store", "type": "string", "description": "Two-letter country code of the Apple store to search (us, gb, de, fr, ca, au, and so on).", "default": "us" }, "genreId": { "title": "Genre ID (optional)", "type": "string", "description": "Apple podcast genre ID to narrow a search, for example 1488 for News or 1303 for Comedy." }, "maxResultsPerTerm": { "title": "Max results per term", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many shows to return per search term (1 to 200).", "default": 50 }, "includeEpisodes": { "title": "Include recent episodes", "type": "boolean", "description": "Fetch each show's RSS feed and add its recent episodes to the output.", "default": false }, "maxEpisodesPerPodcast": { "title": "Max episodes per podcast", "minimum": 1, "maximum": 300, "type": "integer", "description": "When episodes are included, how many recent ones to keep per show.", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Route requests through Apify Proxy. Recommended for larger runs.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```