# Apple Podcasts Scraper — Shows & Episodes (`hipersoft/apple-podcasts-scraper`) Actor Search Apple Podcasts and scrape shows (name, host, RSS feed, genre, episode count, artwork) and their episodes (title, release date, duration, audio URL, description). Fast clean HTTP via the iTunes API, no key. For podcast research, discovery and lead generation. - **URL**: https://apify.com/hipersoft/apple-podcasts-scraper.md - **Developed by:** [hiper soft](https://apify.com/hipersoft) (community) - **Categories:** Social media - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 — Shows & Episodes Search **Apple Podcasts** and scrape shows and episodes via the public iTunes API. Fast clean HTTP, no key. ### Output **Podcast** rows: `id`, `name`, `artist`, `feedUrl`, `genre`, `genres`, `trackCount`, `latestRelease`, `explicit`, `artwork`, `url`. **Episode** rows (when `includeEpisodes`): `showId`, `showName`, `id`, `title`, `releaseDate`, `durationMs`, `description`, `audioUrl`, `guid`, `artwork`, `url`. ### Input ```json { "searches": ["startups", "true crime"], "includeEpisodes": true, "maxEpisodesPerPodcast": 20 } ```` - **searches** — topics/keywords, one per line. - **podcastIds** — specific show IDs/URLs (optional). - **includeEpisodes** — also pull each show's recent episodes. Data from the public iTunes API. # Actor input Schema ## `searches` (type: `array`): Keywords or topics to search on Apple Podcasts (e.g. "true crime", "startups", "marketing"), one per line. ## `podcastIds` (type: `array`): Specific Apple Podcasts show IDs or URLs (e.g. 1235836821 or an podcasts.apple.com/...id1235836821 URL). Combine with "Include episodes". ## `includeEpisodes` (type: `boolean`): Also fetch each show's recent episodes (title, date, duration, audio URL, description). ## `maxPodcastsPerSearch` (type: `integer`): Shows to return per search term (max 200). ## `maxEpisodesPerPodcast` (type: `integer`): Recent episodes per show when "Include episodes" is on. ## `country` (type: `string`): Apple storefront country code (e.g. us, gb, de). ## `proxyConfiguration` (type: `object`): Optional. The iTunes API works without a proxy. ## Actor input object example ```json { "searches": [ "technology" ], "podcastIds": [], "includeEpisodes": false, "maxPodcastsPerSearch": 50, "maxEpisodesPerPodcast": 20, "country": "us", "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "searches": [ "technology" ], "podcastIds": [] }; // Run the Actor and wait for it to finish const run = await client.actor("hipersoft/apple-podcasts-scraper").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 = { "searches": ["technology"], "podcastIds": [], } # Run the Actor and wait for it to finish run = client.actor("hipersoft/apple-podcasts-scraper").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 '{ "searches": [ "technology" ], "podcastIds": [] }' | apify call hipersoft/apple-podcasts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hipersoft/apple-podcasts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple Podcasts Scraper — Shows & Episodes", "description": "Search Apple Podcasts and scrape shows (name, host, RSS feed, genre, episode count, artwork) and their episodes (title, release date, duration, audio URL, description). Fast clean HTTP via the iTunes API, no key. For podcast research, discovery and lead generation.", "version": "1.0", "x-build-id": "vtMFiOOq62rzPwf5f" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hipersoft~apple-podcasts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hipersoft-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/hipersoft~apple-podcasts-scraper/runs": { "post": { "operationId": "runs-sync-hipersoft-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/hipersoft~apple-podcasts-scraper/run-sync": { "post": { "operationId": "run-sync-hipersoft-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": { "searches": { "title": "Search terms", "type": "array", "description": "Keywords or topics to search on Apple Podcasts (e.g. \"true crime\", \"startups\", \"marketing\"), one per line.", "items": { "type": "string" } }, "podcastIds": { "title": "Podcast IDs / URLs (optional)", "type": "array", "description": "Specific Apple Podcasts show IDs or URLs (e.g. 1235836821 or an podcasts.apple.com/...id1235836821 URL). Combine with \"Include episodes\".", "items": { "type": "string" } }, "includeEpisodes": { "title": "Include episodes", "type": "boolean", "description": "Also fetch each show's recent episodes (title, date, duration, audio URL, description).", "default": false }, "maxPodcastsPerSearch": { "title": "Max podcasts per search", "minimum": 1, "maximum": 200, "type": "integer", "description": "Shows to return per search term (max 200).", "default": 50 }, "maxEpisodesPerPodcast": { "title": "Max episodes per podcast", "minimum": 1, "maximum": 200, "type": "integer", "description": "Recent episodes per show when \"Include episodes\" is on.", "default": 20 }, "country": { "title": "Country", "type": "string", "description": "Apple storefront country code (e.g. us, gb, de).", "default": "us" }, "proxyConfiguration": { "title": "Proxy (optional)", "type": "object", "description": "Optional. The iTunes API works without a proxy.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```