# Spotify Albums Scraper - Low-costπŸ’²πŸ”₯πŸ“ˆπŸŽΆ (`delectable_incubator/spotify-albums-scraper-low-cost`) Actor πŸŽ§πŸ” Extract Spotify albums by keyword with ease. Collect album titles, artist names, verified artists, release dates, cover images, popularity, genres, Spotify URLs, and album metadata. Ideal for music research, streaming analytics, genre discovery, trend monitoring, and entertainment datasets πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/spotify-albums-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Automation, Social media, Videos - **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 Albums Search Scraper

--- ## πŸŽ΅πŸ”Ž Spotify Albums Search Scraper | Bulk Spotify Album Search | Apify Actor ### πŸš€ Search & Extract Spotify Albums in Seconds (No Code) The **Spotify Albums Search Scraper (Apify Actor)** is a powerful, scalable and SEO-optimized Spotify scraping tool designed to search Spotify albums by keywords and extract structured album information in bulk. Whether you're building music discovery platforms, AI datasets, trend analysis tools, recommendation engines, or conducting music market research, this scraper delivers clean, export-ready Spotify album data at scale. --- ### πŸ”₯ Why This Spotify Albums Search Scraper? βœ” Best Spotify Albums Search Scraper on Apify βœ” Supports bulk keyword searching (multi-search) βœ” Fast & scalable cloud extraction βœ” 100% structured JSON / CSV / Excel output βœ” Perfect for music analytics & AI datasets βœ” Built for developers, labels, marketers & researchers βœ” No coding required --- ### 🎯 What This Scraper Does (Spotify Album Search) This Apify Actor searches Spotify albums using one or multiple keywords and extracts detailed album information from the search results. #### πŸ“Œ Core Features βœ… Search Spotify albums βœ… Bulk keyword album searching (SEO BOOST πŸš€) βœ… Unlimited search results βœ… Automatic pagination βœ… Extract album title βœ… Extract album type βœ… Extract artist names βœ… Extract release year βœ… Extract cover image βœ… Extract Spotify album URL βœ… Clean structured dataset output βœ… High-speed extraction engine --- ### ⚑ Input Configuration (Simple & Powerful) #### πŸ”₯ BULK KEYWORD MODE (SEO BOOST πŸš€) ```` { "keywords": \[ "rock", "hip hop", "jazz", "classical", "electronic", "lofi", "pop", "metal", "country", "indie" ], "max\_items": 500 } ``` --- ### πŸ“Š Extracted Album Data (Structured Output) | Field | Description | |------|-------------| | albumName | Album title | | albumType | Album type (Album, Single, EP) | | releaseYear | Release year | | artists | Artist names | | coverImage | Album artwork | | spotifyUrl | Spotify album URL | --- ### πŸ’‘ Use Cases (High Demand SEO Keywords) This Spotify scraper is perfect for: 🎡 Spotify album search πŸ“Š Music market research 🎼 Album discovery platforms πŸ€– AI training datasets πŸ“ˆ Music trend analysis πŸ† Artist research 🎧 Playlist generation πŸ“‘ Music recommendation systems πŸ’Ό Record label intelligence ⚑ Bulk Spotify data extraction --- ### πŸš€ Key Features (Apify SEO Optimized) ⚑ Bulk keyword support πŸ” Multi-search mode πŸ“€ Spotify album discovery πŸ“Œ Automatic pagination 🧠 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 ``` { "albumName": "Rock", "albumType": "Single", "releaseYear": 2024, "artists": \[ "Stepz" ], "coverImage": "https://i.scdn.co/image/ab67616d00001e025299e58cae4abdeebf3bab3a", "spotifyUrl": "https://open.spotify.com/album/4teIzIcBlCmrMrJ0asA1iq" } ```` --- ### πŸ”₯ Why This is the BEST Spotify Albums Search Scraper on Apify? βœ” Optimized for Apify marketplace ranking βœ” High-performance Spotify search engine βœ” Bulk keyword support βœ” Unlimited search capability 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:** $2.58 / 1,000 results --- ### ❓ FAQ (SEO BOOST SECTION) #### Can I search multiple keywords at once? Yes β€” bulk keyword mode is fully supported. #### Is there a limit on search results? No β€” you can extract as many albums as your run configuration allows. #### 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. #### Can I use it for music analytics? Absolutely. It is ideal for research, analytics, AI datasets and music discovery. --- ### ⚠️ Disclaimer This tool is not affiliated with Spotify. It is an independent data extraction solution built for publicly accessible information. --- ### πŸ”— Related Actors (Music Intelligence Ecosystem) We are building the complete **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“Š Music analytics πŸ“ˆ Market research πŸ€– AI datasets 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 ## `keywords` (type: `array`): List of keywords or subjects to search for on Spotify (Albums), e.g. 'jazz', 'lofi', 'hip hop'. ## `maxitems_per_keyword` (type: `integer`): Maximum number of results you want to scrape for EACH keyword πŸ“Š ## Actor input object example ```json { "keywords": [ "lofi", "hip hop" ], "maxitems_per_keyword": 60 } ```` # 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 = { "keywords": [ "lofi", "hip hop" ], "maxitems_per_keyword": 60 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/spotify-albums-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 = { "keywords": [ "lofi", "hip hop", ], "maxitems_per_keyword": 60, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/spotify-albums-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 '{ "keywords": [ "lofi", "hip hop" ], "maxitems_per_keyword": 60 }' | apify call delectable_incubator/spotify-albums-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-albums-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Spotify Albums Scraper - Low-costπŸ’²πŸ”₯πŸ“ˆπŸŽΆ", "description": "πŸŽ§πŸ” Extract Spotify albums by keyword with ease. Collect album titles, artist names, verified artists, release dates, cover images, popularity, genres, Spotify URLs, and album metadata. Ideal for music research, streaming analytics, genre discovery, trend monitoring, and entertainment datasets πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "RRqGm35PeWs6Djb3h" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~spotify-albums-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-spotify-albums-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~spotify-albums-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-spotify-albums-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~spotify-albums-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-spotify-albums-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Search Keywords πŸ”πŸŽΆ", "type": "array", "description": "List of keywords or subjects to search for on Spotify (Albums), e.g. 'jazz', 'lofi', 'hip hop'.", "items": { "type": "string" }, "default": [ "lofi", "hip hop" ] }, "maxitems_per_keyword": { "title": "Maximum number of results to scrape per keyword πŸ“Š", "type": "integer", "description": "Maximum number of results you want to scrape for EACH keyword πŸ“Š", "default": 60 } } }, "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 } } } } } } } } } } ```