# Spotify Show Details (`tonic_waterfall/spotify-shows-details`) Actor Extract Spotify Show Details from Show ID - **URL**: https://apify.com/tonic\_waterfall/spotify-shows-details.md - **Developed by:** [AOGANUNAXISH](https://apify.com/tonic_waterfall) (community) - **Categories:** Social media, News - **Stats:** 2 total users, 1 monthly users, 100.0% 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 Show Details ### Overview This Actor extracts podcast show metadata from the 🎡 Spotify Web API based on a list of Spotify Show IDs. It supports concurrent requests, rate-safe async execution, and returns structured show-level data suitable for analytics, recommendation systems, and media monitoring pipelines. Unlike web scrapers, this Actor uses the official Spotify API, making it fast, reliable, and stable. --- ### Key Features * **Spotify API integration (no scraping)**: Fetches structured podcast show data directly from Spotify using official endpoints: - Show metadata (title, description) - Episode count and language metadata - Images - Copyright and content flags * **Batch processing**: Accepts multiple Spotify Show IDs in a single run. * **Structured dataset output**: Results are stored in Apify Dataset and can be exported as JSON, CSV, or table format. * **Failed request tracking (debugging support)**: Failed IDs and error responses are stored in the Apify Key-Value Store, making it easy to inspect, debug, and retry problematic requests. --- ### Input Parameters | Field | Type | Required | Description | | ------------------ | --------------- | -------- | -------------------------------------------------------------------------------------------------------------------------------------- | | `show_ids` | `String` | Yes | Comma-separated list of Spotify Show IDs | #### Example Input ```json { "show_ids": "5CfCWKI5pZ28U0uOzXkDHe,5as3aKmN2k11yfDDDSrvaZ" } ```` *** ### Output The Actor outputs one dataset item per Spotify show with the following fields: | Field | Description | | --------------------------- | ------------------------------- | | `id` | Spotify show ID | | `name` | Show title | | `description` | Show description | | `url` | Spotify show URL | | `media_type` | Media type (e.g. audio) | | `total_episodes` | Number of episodes | | `languages` | Show language(s) | | `explicit` | Explicit content flag | | `is_externally_hosted` | External hosting flag | | `images` | Array of show images | | `copyrights` | Copyright information | | `current_datetime` | UTC timestamp of extraction | Example output: ```json { "id": "2cSQmzYnf6LyrN0Mi6E64p", "name": "Today in Focus", "description": "Today in Focus brings you closer to the Guardian's journalism. Our award-winning morning edition hosted by Helen Pidd, Nosheen Iqbal and Annie Kelly combines on-the-ground reporting, insightful analysis and personal testimony from the people at the heart of the stories that matter, to give you a deeper understanding of the world we live in. And to make sense of a rapidly-changing news cycle, our new evening edition 'The Latest' hosted by Lucy Hough, brings you up to speed on the big news story of the day in just 10 minutes. Available on YouTube and all podcast platforms.", "url": "https://open.spotify.com/show/2cSQmzYnf6LyrN0Mi6E64p", "media_type": "audio", "total_episodes": 298, "languages": ["en"], "explicit": true, "is_externally_hosted": false, "images": [ { "url": "https://i.scdn.co/image/ab6765630000ba8a32859cad9de857786cb38bbe", "height": 300, "wight": 640, } ], "copyrights": [], "current_datetime": "2026-05-07 12:30:00" } ``` *** ### Concurrency & Performance - Uses asyncio + httpx.AsyncClient to fetch multiple shows efficiently with controlled concurrency - Efficient for batch processing large lists of show IDs *** ### Potential Use Cases - **Podcast analytics**: Track show metadata, content themes, and publishing trends to understand how podcasts evolve over time. - **Market research**: Explore podcast growth, language patterns, and category shifts to uncover audience and industry trends. - **Recommendation systems**: Power content discovery using embeddings or similarity models built from show metadata. - **Data pipelines**: Feed structured Spotify data into ML models, dashboards, or BI tools for deeper analysis and forecasting. *** ### Notes & Best Practices - Prefer using valid Spotify Show IDs only *** ### Tech Stack - **Apify SDK (Python)** - **potify Web API** - **HTTPX (AsyncClient)** - **Asyncio (concurrent control)** *** ### License Use responsibly in accordance with Spotify’s API Terms of Service and applicable regulations. # Actor input Schema ## `show_ids` (type: `string`): A comma-separated list of the Spotify IDs for the shows ## Actor input object example ```json { "show_ids": "5CfCWKI5pZ28U0uOzXkDHe,5as3aKmN2k11yfDDDSrvaZ" } ``` # Actor output Schema ## `overview` (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 = { "show_ids": "5CfCWKI5pZ28U0uOzXkDHe,5as3aKmN2k11yfDDDSrvaZ" }; // Run the Actor and wait for it to finish const run = await client.actor("tonic_waterfall/spotify-shows-details").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 = { "show_ids": "5CfCWKI5pZ28U0uOzXkDHe,5as3aKmN2k11yfDDDSrvaZ" } # Run the Actor and wait for it to finish run = client.actor("tonic_waterfall/spotify-shows-details").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 '{ "show_ids": "5CfCWKI5pZ28U0uOzXkDHe,5as3aKmN2k11yfDDDSrvaZ" }' | apify call tonic_waterfall/spotify-shows-details --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tonic_waterfall/spotify-shows-details", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Spotify Show Details", "description": "Extract Spotify Show Details from Show ID", "version": "0.0", "x-build-id": "2yOYqlr4Ehc79gdnT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tonic_waterfall~spotify-shows-details/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tonic_waterfall-spotify-shows-details", "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/tonic_waterfall~spotify-shows-details/runs": { "post": { "operationId": "runs-sync-tonic_waterfall-spotify-shows-details", "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/tonic_waterfall~spotify-shows-details/run-sync": { "post": { "operationId": "run-sync-tonic_waterfall-spotify-shows-details", "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", "required": [ "show_ids" ], "properties": { "show_ids": { "title": "Spotify IDs", "type": "string", "description": "A comma-separated list of the Spotify IDs for the shows" } } }, "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 } } } } } } } } } } ```