# Spotify Album Play Count Scraper - Low-costπŸ’²πŸ”₯πŸ“ˆπŸŽΆ (`delectable_incubator/spotify-album-play-count-scraper-low-cost`) Actor πŸŽ§πŸ“Š Extract Spotify album data with ease. Collect album titles, release dates, cover images, total tracks, track play counts, durations, popularity scores, artist names and Spotify URLs. Ideal for music analytics, streaming research, trend analysis, playlist intelligence & entertainment datasets πŸš€ - **URL**: https://apify.com/delectable\_incubator/spotify-album-play-count-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Social media, Videos, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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

PrimeScrape Spotify Album Play Count Scraper

--- ## πŸŽ΅πŸ“ˆ Spotify Album Play Count Scraper | Bulk Spotify Album Scraper | Apify Actor ### πŸš€ Extract Spotify Album & Track Play Counts in Seconds (No Code) The **Spotify Album Play Count Scraper (Apify Actor)** is a powerful, scalable and SEO-optimized Spotify scraping tool designed to extract album information, track details, and play counts from Spotify albums. Perfect for music analytics, AI datasets, playlist research, artist monitoring, music marketing, trend analysis, and large-scale Spotify data collection. --- ### πŸ”₯ Why This Spotify Scraper? βœ” Best Spotify Album Play Count Scraper on Apify βœ” Supports bulk album URL scraping (multi-URL mode) βœ” Extracts complete album metadata βœ” Retrieves track-by-track play counts βœ” Fast & scalable cloud extraction βœ” 100% structured JSON / CSV / Excel output βœ” Perfect for music analysts, labels, marketers & developers βœ” No coding required --- ### 🎯 What This Scraper Does (Spotify Album Data Extraction) This Apify Actor extracts complete album information from public Spotify album pages. #### πŸ“Œ Core Features βœ… Scrape Spotify albums βœ… Bulk album URL scraping (SEO BOOST πŸš€) βœ… Extract album metadata βœ… Extract artist information βœ… Extract album cover βœ… Extract release date βœ… Extract total tracks βœ… Extract track names βœ… Extract track duration βœ… Extract track number βœ… Extract Spotify play counts βœ… Extract Spotify URLs βœ… Clean structured dataset output βœ… High-speed extraction engine --- ### ⚑ Input Configuration (Simple & Powerful) #### πŸ”₯ BULK URL MODE (SEO BOOST πŸš€) ```` { "urls": \[ "https://open.spotify.com/album/6JWc4iAiJ9FjyK0B59ABb4", "https://open.spotify.com/album/4aawyAB9vmqN3uQ7FjRGTy", "https://open.spotify.com/album/2ODvWsOgouMbaA5xf0RkJe", "https://open.spotify.com/album/3cfAM8b8KqJRoIzt3zLKqw", "https://open.spotify.com/album/1DFixLWuPkv3KT3TnV35m3" ] } ``` --- ### πŸ“Š Extracted Spotify Data (Structured Output) | Field | Description | |------|-------------| | albumId | Spotify album ID | | albumName | Album title | | artistName | Main artist | | artistUrl | Spotify artist URL | | albumUrl | Spotify album URL | | releaseDate | Album release date | | totalTracks | Number of tracks | | albumImage | Album cover image | | trackNumber | Track position | | trackName | Track title | | durationMs | Track duration | | playCount | Spotify play count | | trackUrl | Spotify track URL | --- ### πŸ’‘ Use Cases (High Demand SEO Keywords) This Spotify scraper is perfect for: 🎡 Spotify album scraping πŸ“ˆ Spotify play count tracking 🎧 Music popularity analysis πŸ† Artist performance monitoring πŸ“Š Music industry analytics πŸ€– AI training datasets 🎼 Playlist research πŸ’Ό Record label intelligence πŸ“‘ Music market research ⚑ Bulk Spotify data extraction --- ### πŸš€ Key Features (Apify SEO Optimized) ⚑ Bulk Spotify album URL support πŸ“€ Album & track extraction 🎡 Track play count collection πŸ“Œ Automatic processing 🧠 Clean structured output πŸ“Š High-speed scraping engine πŸ” Reliable cloud execution πŸ’Ύ Export-ready datasets βš™οΈ Scalable Apify Actor --- ### πŸ“€ Output Formats Supported βœ” JSON (API ready) βœ” CSV (Excel compatible) βœ” Excel XLSX βœ” XML βœ” HTML --- ### πŸ“¦ Example Output ``` { "albumId": "6JWc4iAiJ9FjyK0B59ABb4", "albumName": "Album Name", "artistName": "Artist Name", "artistUrl": "https://open.spotify.com/artist/...", "albumUrl": "https://open.spotify.com/album/6JWc4iAiJ9FjyK0B59ABb4", "releaseDate": "2024-05-10", "totalTracks": 14, "albumImage": "https://i.scdn.co/image/...", "trackNumber": 1, "trackName": "Opening Song", "durationMs": 198534, "playCount": 143286542, "trackUrl": "https://open.spotify.com/track/..." } ```` --- ### πŸ”₯ Why This is the BEST Spotify Album Scraper on Apify? βœ” Optimized for Apify marketplace ranking βœ” Bulk album URL support βœ” Fast Spotify scraping engine βœ” Track-by-track play count extraction βœ” Enterprise-ready scalability βœ” Clean structured datasets βœ” Perfect for SEO traffic & marketplace visibility --- ### πŸ’Έ Pricing This scraper runs on a **pay-per-result** pricing model. You only pay for successfully extracted records. πŸ’³ **Price:** $2.89 / 1,000 results --- ### ❓ FAQ (SEO BOOST SECTION) #### Can I scrape multiple Spotify albums at once? Yes β€” bulk URL mode is fully supported. #### Does it extract play counts? Yes β€” every track includes its Spotify play count whenever publicly available. #### Can I export the data? Yes β€” JSON, CSV, Excel, XML and HTML are supported. #### Is coding required? No β€” this is a 100% no-code Apify Actor. #### Is it suitable for large datasets? Yes β€” designed for high-volume cloud scraping. --- ### ⚠️ Disclaimer This tool is not affiliated with Spotify. It is an independent data extraction solution built for publicly accessible information. --- ### πŸ”— Related Actors (Music & Data Scraping Ecosystem) We are building the full **PrimeScrape Music Intelligence Suite.** πŸ‘‰ Coming Soon πŸš€ --- ### 🌍 PrimeScrape Ecosystem Built for data scraping, automation, AI training datasets and market intelligence at scale. 🎡 Music intelligence πŸ“ˆ Market analytics πŸ€– AI datasets πŸ“Š Business intelligence βš™οΈ Automation pipelines 🌐 Large-scale data extraction --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a review if you enjoy this scraper. πŸ“© Contact us for custom scraping solutions, enterprise requests, or feature suggestions. # Actor input Schema ## `urls` (type: `array`): Spotify Albums URLs for Data fetching πŸŽ§πŸ“Š (format 🚨: https://open.spotify.com/album/SPOTIFY_ALBUM_ID) ## Actor input object example ```json { "urls": [ "https://open.spotify.com/album/5eyZZoQEFQWRHkV2xgAeBw", "https://open.spotify.com/album/5meb7aKE722LA66ssBhvfM", "https://open.spotify.com/album/6DEjYFkNZh67HP7R9PSZvv" ] } ```` # Actor output Schema ## `results` (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 = { "urls": [ "https://open.spotify.com/album/5eyZZoQEFQWRHkV2xgAeBw", "https://open.spotify.com/album/5meb7aKE722LA66ssBhvfM", "https://open.spotify.com/album/6DEjYFkNZh67HP7R9PSZvv" ] }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/spotify-album-play-count-scraper-low-cost").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 = { "urls": [ "https://open.spotify.com/album/5eyZZoQEFQWRHkV2xgAeBw", "https://open.spotify.com/album/5meb7aKE722LA66ssBhvfM", "https://open.spotify.com/album/6DEjYFkNZh67HP7R9PSZvv", ] } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/spotify-album-play-count-scraper-low-cost").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 '{ "urls": [ "https://open.spotify.com/album/5eyZZoQEFQWRHkV2xgAeBw", "https://open.spotify.com/album/5meb7aKE722LA66ssBhvfM", "https://open.spotify.com/album/6DEjYFkNZh67HP7R9PSZvv" ] }' | apify call delectable_incubator/spotify-album-play-count-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/spotify-album-play-count-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Spotify Album Play Count Scraper - Low-costπŸ’²πŸ”₯πŸ“ˆπŸŽΆ", "description": "πŸŽ§πŸ“Š Extract Spotify album data with ease. Collect album titles, release dates, cover images, total tracks, track play counts, durations, popularity scores, artist names and Spotify URLs. Ideal for music analytics, streaming research, trend analysis, playlist intelligence & entertainment datasets πŸš€", "version": "0.0", "x-build-id": "Pz5KSZM2HFfDM5rEb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~spotify-album-play-count-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-spotify-album-play-count-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~spotify-album-play-count-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-spotify-album-play-count-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~spotify-album-play-count-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-spotify-album-play-count-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Spotify Albums URLs for Data fetching πŸŽ§πŸ“Š (format 🚨: https://open.spotify.com/album/SPOTIFY_ALBUM_ID)", "type": "array", "description": "Spotify Albums URLs for Data fetching πŸŽ§πŸ“Š (format 🚨: https://open.spotify.com/album/SPOTIFY_ALBUM_ID)", "default": [ "https://open.spotify.com/album/5eyZZoQEFQWRHkV2xgAeBw", "https://open.spotify.com/album/5meb7aKE722LA66ssBhvfM", "https://open.spotify.com/album/6DEjYFkNZh67HP7R9PSZvv" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```