# Spotify Podcast Intelligence (`taroyamada/spotify-podcast-intelligence`) Actor Public-first Spotify podcast scraper for show metadata, recent episodes, ratings, sponsor hints, transcript hints, and RSS enrichment. - **URL**: https://apify.com/taroyamada/spotify-podcast-intelligence.md - **Developed by:** [åĪŠéƒŽ åąąį”°](https://apify.com/taroyamada) (community) - **Categories:** Social media, AI, Business - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN 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 ## Spotify Podcast Intelligence Extract public Spotify podcast show metadata, ratings, recent episodes, sponsor hints, contact hints, transcript hints, and external links from `open.spotify.com` pages plus optional RSS enrichment. ### What it returns - Show rows with title, publisher, description, language, topics, rating average/count, total episode count, explicit labels, and image URL. - Episode rows with title, published date, duration, preview URLs, transcript hints, sponsor hints, contact hints, and extracted links. - Meta diagnostics describing source coverage and any degraded public surfaces. ### Input - `showUrls` - `episodeUrls` - `rssFeedUrls` - `searchTerms` - `maxEpisodesPerShow` - `includeEpisodes` - `delivery`, `webhookUrl`, `dryRun` At least one of `showUrls`, `episodeUrls`, `rssFeedUrls`, or `searchTerms` is required. ### Notes - Uses only public Spotify pages and the public Spotify oEmbed endpoint. - Search-term discovery is best-effort because Spotify search pages are not consistently server-rendered. - RSS enrichment is optional but improves sponsor, transcript, and contact coverage. # Actor input Schema ## `showUrls` (type: `array`): Spotify show URLs such as https://open.spotify.com/show/. ## `episodeUrls` (type: `array`): Spotify episode URLs such as https://open.spotify.com/episode/. ## `rssFeedUrls` (type: `array`): Optional RSS feeds used for sponsor, transcript, and contact enrichment. ## `searchTerms` (type: `array`): Best-effort public Spotify search probes. URL inputs are more reliable. ## `maxEpisodesPerShow` (type: `integer`): Maximum recent episodes to keep per show when available. ## `includeEpisodes` (type: `boolean`): Include recent episode rows alongside show rows. ## `delivery` (type: `string`): Where to send results: dataset or webhook. ## `webhookUrl` (type: `string`): Webhook URL to POST results to when delivery=webhook. ## `dryRun` (type: `boolean`): Run without saving results to the dataset. ## Actor input object example ```json { "showUrls": [ "https://open.spotify.com/show/4rOoJ6Egrf8K2IrywzwOMk" ], "episodeUrls": [], "rssFeedUrls": [], "searchTerms": [], "maxEpisodesPerShow": 5, "includeEpisodes": true, "delivery": "dataset", "dryRun": 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 = { "showUrls": [ "https://open.spotify.com/show/4rOoJ6Egrf8K2IrywzwOMk" ], "episodeUrls": [], "rssFeedUrls": [], "searchTerms": [] }; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/spotify-podcast-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`ðŸ’ū 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 = { "showUrls": ["https://open.spotify.com/show/4rOoJ6Egrf8K2IrywzwOMk"], "episodeUrls": [], "rssFeedUrls": [], "searchTerms": [], } # Run the Actor and wait for it to finish run = client.actor("taroyamada/spotify-podcast-intelligence").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("ðŸ’ū 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 '{ "showUrls": [ "https://open.spotify.com/show/4rOoJ6Egrf8K2IrywzwOMk" ], "episodeUrls": [], "rssFeedUrls": [], "searchTerms": [] }' | apify call taroyamada/spotify-podcast-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/spotify-podcast-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Spotify Podcast Intelligence", "description": "Public-first Spotify podcast scraper for show metadata, recent episodes, ratings, sponsor hints, transcript hints, and RSS enrichment.", "version": "0.1", "x-build-id": "46zlBKU8zu9n1FO7K" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~spotify-podcast-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-spotify-podcast-intelligence", "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/taroyamada~spotify-podcast-intelligence/runs": { "post": { "operationId": "runs-sync-taroyamada-spotify-podcast-intelligence", "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/taroyamada~spotify-podcast-intelligence/run-sync": { "post": { "operationId": "run-sync-taroyamada-spotify-podcast-intelligence", "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": { "showUrls": { "title": "Show URLs", "type": "array", "description": "Spotify show URLs such as https://open.spotify.com/show/.", "items": { "type": "string" } }, "episodeUrls": { "title": "Episode URLs", "type": "array", "description": "Spotify episode URLs such as https://open.spotify.com/episode/.", "items": { "type": "string" } }, "rssFeedUrls": { "title": "RSS feed URLs", "type": "array", "description": "Optional RSS feeds used for sponsor, transcript, and contact enrichment.", "items": { "type": "string" } }, "searchTerms": { "title": "Search terms", "type": "array", "description": "Best-effort public Spotify search probes. URL inputs are more reliable.", "items": { "type": "string" } }, "maxEpisodesPerShow": { "title": "Max episodes per show", "minimum": 1, "maximum": 25, "type": "integer", "description": "Maximum recent episodes to keep per show when available.", "default": 5 }, "includeEpisodes": { "title": "Include episodes", "type": "boolean", "description": "Include recent episode rows alongside show rows.", "default": true }, "delivery": { "title": "Delivery", "enum": [ "dataset", "webhook" ], "type": "string", "description": "Where to send results: dataset or webhook.", "default": "dataset" }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "Webhook URL to POST results to when delivery=webhook." }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "Run without saving results to the dataset.", "default": 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 } } } } } } } } } } ```