# Apple Podcasts Scraper — Podcasts & Episodes (`ponderable_hydrometer/apple-podcasts-scraper`) Actor Scrape Apple Podcasts — search or look up shows, get metadata (genre, RSS feed, artwork) and full episode lists via Apple's public iTunes API. No key, no proxies. - **URL**: https://apify.com/ponderable\_hydrometer/apple-podcasts-scraper.md - **Developed by:** [Ponderable Hydrometer](https://apify.com/ponderable_hydrometer) (community) - **Categories:** Automation, Developer tools, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 — Podcasts & Episodes Pull **Apple Podcasts** data — podcast metadata and full episode lists — straight from Apple's public iTunes APIs. Search by keyword or look up specific podcasts by id/URL, and get clean, structured data. No proxies, no login. ### Who it's for - **Podcast discovery / directory tools** — build a podcast dataset by topic. - **Marketers & PR** — find shows in a niche (with RSS feed URLs for outreach/analysis). - **Analysts** — track episode cadence, duration, genres across shows. - **AI / data pipelines** — structured podcast + episode data. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `searchTerms` | array | — | Keywords to search (e.g. `true crime`) | | `podcasts` | array | — | Apple podcast ids or URLs (e.g. `1019576853`) | | `country` | string | `us` | Two-letter store country code | | `includeEpisodes` | boolean | `false` | Also fetch each podcast's episode list | | `maxEpisodes` | integer | `50` | Episodes per podcast when enabled (up to ~200) | | `maxResultsPerSearch` | integer | `25` | Podcasts returned per search term | Provide at least one of `searchTerms` or `podcasts`. ### Output One row per podcast: ```json { "podcastId": 1019576853, "name": "Software Engineering Daily", "artist": "Software Engineering Daily", "genre": "Tech News", "episodeCount": 105, "feedUrl": "https://softwareengineeringdaily.com/feed/podcast/", "latestReleaseDate": "2026-07-09T09:00:25Z", "artwork": "https://…/600x600bb.jpg", "url": "https://podcasts.apple.com/us/podcast/…/id1019576853", "episodes": [ { "title": "…", "releaseDate": "2026-07-09T…", "durationMinutes": 52, "audioUrl": "…", "episodeUrl": "…" } ] } ```` `episodes` is present only when `includeEpisodes` is on. ### Notes & limits - Data comes from Apple's public iTunes Search/Lookup APIs — official, free, no key, no anti-bot. - Episodes are those exposed by Apple's lookup API (recent episodes; up to ~200). - Apple's reviews RSS covers apps, not podcasts, so podcast reviews are not included. - `feedUrl` points to the show's RSS feed if you need the full/raw episode feed. - Public data; you are responsible for compliant use of the output. # Actor input Schema ## `searchTerms` (type: `array`): Keywords to search Apple Podcasts, e.g. "true crime", "software engineering". ## `podcasts` (type: `array`): Specific podcasts by Apple id or URL, e.g. "1019576853", "https://podcasts.apple.com/us/podcast/x/id1019576853". ## `country` (type: `string`): Two-letter Apple store country code (e.g. us, gb, de). ## `includeEpisodes` (type: `boolean`): Also fetch the episode list for each podcast (embedded per podcast). ## `maxEpisodes` (type: `integer`): Cap on episodes fetched per podcast when enabled (up to ~200). ## `maxResultsPerSearch` (type: `integer`): How many matching podcasts to return per search term. ## Actor input object example ```json { "searchTerms": [ "software engineering" ], "country": "us", "includeEpisodes": false, "maxEpisodes": 50, "maxResultsPerSearch": 25 } ``` # 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": [ "software engineering" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ponderable_hydrometer/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 = { "searchTerms": ["software engineering"] } # Run the Actor and wait for it to finish run = client.actor("ponderable_hydrometer/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 '{ "searchTerms": [ "software engineering" ] }' | apify call ponderable_hydrometer/apple-podcasts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ponderable_hydrometer/apple-podcasts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple Podcasts Scraper — Podcasts & Episodes", "description": "Scrape Apple Podcasts — search or look up shows, get metadata (genre, RSS feed, artwork) and full episode lists via Apple's public iTunes API. No key, no proxies.", "version": "0.1", "x-build-id": "4MnjXXTLQfKY77kK3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ponderable_hydrometer~apple-podcasts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ponderable_hydrometer-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ponderable_hydrometer~apple-podcasts-scraper/runs": { "post": { "operationId": "runs-sync-ponderable_hydrometer-apple-podcasts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ponderable_hydrometer~apple-podcasts-scraper/run-sync": { "post": { "operationId": "run-sync-ponderable_hydrometer-apple-podcasts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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, e.g. \"true crime\", \"software engineering\".", "items": { "type": "string" } }, "podcasts": { "title": "Podcasts", "type": "array", "description": "Specific podcasts by Apple id or URL, e.g. \"1019576853\", \"https://podcasts.apple.com/us/podcast/x/id1019576853\".", "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Two-letter Apple store country code (e.g. us, gb, de).", "default": "us" }, "includeEpisodes": { "title": "Include episodes", "type": "boolean", "description": "Also fetch the episode list for each podcast (embedded per podcast).", "default": false }, "maxEpisodes": { "title": "Max episodes per podcast", "minimum": 1, "type": "integer", "description": "Cap on episodes fetched per podcast when enabled (up to ~200).", "default": 50 }, "maxResultsPerSearch": { "title": "Max podcasts per search term", "minimum": 1, "type": "integer", "description": "How many matching podcasts to return per search term.", "default": 25 } } }, "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 } } } } } } } } } } ```