# Spotify Recommendations Scraper (`musicae/spotify-recommendations-scraper`) Actor Get Spotify 🎯 Recommendations from seed tracks, artists or genres. ✅ 99% success rate. ⚡ Results in seconds. 📦 Clean output. - **URL**: https://apify.com/musicae/spotify-recommendations-scraper.md - **Developed by:** [Musicae](https://apify.com/musicae) (community) - **Categories:** Social media, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $4.99 / 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 ## 🎯 Spotify Recommendations Scraper **Generate Spotify song recommendations from any seed, restored after the November 2024 deprecation.** Feed it tracks, artists, or genres and get back a list of recommended songs, tunable by energy, mood, and tempo. A drop-in alternative to Spotify's removed `recommendations` endpoint. No Spotify developer account needed. No API key, no OAuth. Just paste your seeds and hit **Run**. --- ### ⚡ Why this scraper? In November 2024 Spotify **removed public access** to its `recommendations` (and `related-artists`) endpoints, breaking discovery features, playlist generators, and "more like this" tools everywhere. This scraper **restores that capability**: same idea, same seed-and-tune model, no API key. - 🎯 **Seed-based recommendations**: combine up to 5 seeds across **tracks, artists, and genres**. - 🎚️ **Tunable**: steer results toward a **target energy, danceability, mood (valence), tempo, or popularity**. - 🔎 **"More like this"**: seed a single track to find acoustically and stylistically similar songs. - 🔀 **Flexible seeds**: tracks and artists accept Spotify **URLs, IDs, ISRCs, or search keywords**, mix and match. - 🎛️ **Optional audio features**: attach the full Spotify audio-features object to every recommendation. - 📦 **Clean, bulk output**: one row per recommended track as JSON, CSV, or Excel. --- ### 🏆 How it compares | Feature | This scraper | Spotify Web API | Other scrapers | |---|:---:|:---:|:---:| | 🎯 Recommendations | ✅ | ❌ Deprecated (Nov 2024) | ❌ Most can't | | 🎚️ Tune by energy / mood / tempo | ✅ | ❌ | ❌ | | 🔑 API key / OAuth required | ❌ None | ✅ Required | ⚠️ Varies | | 🏷️ Seed by ISRC or keyword | ✅ | ❌ | ❌ | | 🎛️ Audio features on results | ✅ | ❌ | ❌ | | 📦 Bulk + JSON/CSV/Excel | ✅ | ⚠️ Manual | ⚠️ Varies | --- ### 🚀 How to use 1. **Add your seeds**: paste seed tracks, artists, and/or genres (1 to 5 total). Tracks and artists accept URLs, IDs, ISRCs, or keywords. 2. **Tune (optional)**: set a target energy, danceability, mood, tempo, or popularity to steer the results. 3. **Run**: click Start and get recommendations back in seconds. #### ⚙️ Options | Option | Default | Description | |---|:---:|---| | 🔢 **Number of recommendations** | `20` | How many tracks to return (1 to 100) | | 🎛️ **Include Audio Features** | ⬜ Off | Attach the full audio-features object to each result | | 🌍 **Market** | None | Optional ISO 3166-1 country code to bias availability | | 🎚️ **Target Energy / Danceability / Valence** | None | 0.0 to 1.0, steer the sound and mood | | 🎚️ **Target Tempo / Popularity** | None | BPM / 0 to 100, steer pace and mainstream-ness | #### Seed examples ```` https://open.spotify.com/track/0DiWol3AO6WpXZgp0goxAV (seed track) GBDUW0000053 (seed track by ISRC) Daft Punk (seed artist by keyword) ```` Plus genres like `house`, `techno`, `pop` in the Seed Genres field. --- ### 📤 Output Each result is a recommended track. Results are pushed to the **dataset** and saved as **individual JSON files** in the key-value store (e.g. `track_2ROOY8gz4WMnFhTYpKzqwf.json`). ```json { "name": "Music Sounds Better With You", "type": "track", "url": "https://open.spotify.com/track/2ROOY8gz4WMnFhTYpKzqwf", "image": "https://i.scdn.co/image/ab67616d0000b273...", "success": true, "result": "1/20", "mode": "recommendation", "target": "tracks:0DiWol3AO6WpXZgp0goxAV", "error": null, "track": { "track_image": "https://i.scdn.co/image/ab67616d0000b273...", "track_name": "Music Sounds Better With You", "track_id": "2ROOY8gz4WMnFhTYpKzqwf", "track_url": "https://open.spotify.com/track/2ROOY8gz4WMnFhTYpKzqwf", "track_uri": "spotify:track:2ROOY8gz4WMnFhTYpKzqwf", "track_isrc": "GBDUW0000059", "track_popularity": 74 }, "audio_features": null } ```` Enable **Include Audio Features** to populate the `audio_features` object on every recommendation. Available as **JSON**, **CSV**, **Excel**, or via the **Apify API** and **dataset exports**. *** ### 💡 Use cases - 🎶 **Playlist generation**: turn a few seed tracks into a full, mood-matched playlist. - 🔁 **"More like this"**: power a recommendation widget from a single song. - 🤖 **Discovery & ML**: build training sets of seed-to-recommendation pairs, or feature-tuned candidate pools. - 📻 **Radio / autoplay**: generate continuous, style-consistent track queues. - 🛠️ **App migration**: restore the recommendation flow your app lost when Spotify deprecated the endpoint. - 📊 **A\&R / curation**: find adjacent artists and tracks within a target energy or popularity band. *** ### ❓ FAQ **Do I need a Spotify account or API key?** No. No developer account, no token, no OAuth, just paste your seeds and **Run**. **Spotify deprecated recommendations in Nov 2024, how does this still work?** This scraper restores the seed-based recommendation flow and returns recommended tracks in clean Spotify-style JSON, so existing logic keeps working. **What can I use as a seed?** Up to 5 seeds total, in any mix of tracks, artists, and genres. Tracks and artists accept URLs, IDs, ISRCs, or search keywords. **How is "find similar songs" done?** Just seed one (or more) tracks, and the recommendations are generated to match them, which is exactly "more like this". **Can I control the sound of the results?** Yes. Set a target energy, danceability, mood (valence), tempo, or popularity to steer the recommendations. **Can I get audio features for the results?** Yes. Enable **Include Audio Features** to attach the full audio-features object to each recommended track. **What formats can I export?** JSON, CSV, Excel, or via the Apify API and dataset exports. *** ### 🔌 Integrations Connect results to your existing workflow: - 📗 **Google Sheets**: Auto-export results to a spreadsheet - 🪝 **Webhooks**: Trigger downstream actions when a run completes - ⚡ **Zapier / Make**: Plug into 1000+ apps - 🛠️ **API**: Fetch results programmatically from any language - 🔄 **Scheduled runs**: Refresh recommendation sets on a schedule # Actor input Schema ## `seedTracks` (type: `array`): Seed tracks to base recommendations on (find songs like these). One entry per line. ## `seedArtists` (type: `array`): Seed artists to base recommendations on. One entry per line. ## `seedGenres` (type: `array`): Seed genres to base recommendations on (e.g. house, techno, pop). One entry per line. ## `targetEnergy` (type: `string`): Bias toward this energy level, e.g. 0.8 for high-energy, 0.2 for calm. ## `targetDanceability` (type: `string`): Bias toward this danceability, e.g. 0.8 for very danceable. ## `targetValence` (type: `string`): Bias toward this mood, e.g. 0.9 for happy or positive, 0.2 for moody. ## `targetTempo` (type: `integer`): Bias toward this tempo in beats per minute, e.g. 128. ## `targetPopularity` (type: `integer`): Bias toward this popularity level, e.g. 80 for mainstream, 20 for deep cuts. ## `limit` (type: `integer`): How many recommended tracks to return (1 to 100). ## `includeAudioFeatures` (type: `boolean`): Attach the full Spotify audio-features object (tempo, key, energy, danceability, valence and more) to each recommended track. ## `market` (type: `string`): Optional ISO 3166-1 alpha-2 country code (e.g. US, GB, FR) to bias track availability. ## `proxyConfiguration` (type: `object`): Select proxies to be used by the scraper. Apify Proxy is enabled by default. ## Actor input object example ```json { "seedTracks": [ "https://open.spotify.com/track/0DiWol3AO6WpXZgp0goxAV" ], "limit": 20, "includeAudioFeatures": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "seedTracks": [ "https://open.spotify.com/track/0DiWol3AO6WpXZgp0goxAV" ], "limit": 20, "includeAudioFeatures": false, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("musicae/spotify-recommendations-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 = { "seedTracks": ["https://open.spotify.com/track/0DiWol3AO6WpXZgp0goxAV"], "limit": 20, "includeAudioFeatures": False, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("musicae/spotify-recommendations-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 '{ "seedTracks": [ "https://open.spotify.com/track/0DiWol3AO6WpXZgp0goxAV" ], "limit": 20, "includeAudioFeatures": false, "proxyConfiguration": { "useApifyProxy": true } }' | apify call musicae/spotify-recommendations-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=musicae/spotify-recommendations-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Spotify Recommendations Scraper", "description": "Get Spotify 🎯 Recommendations from seed tracks, artists or genres. ✅ 99% success rate. ⚡ Results in seconds. 📦 Clean output.", "version": "1.0", "x-build-id": "0PMumr0JVb7ZIx5Wi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/musicae~spotify-recommendations-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-musicae-spotify-recommendations-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/musicae~spotify-recommendations-scraper/runs": { "post": { "operationId": "runs-sync-musicae-spotify-recommendations-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/musicae~spotify-recommendations-scraper/run-sync": { "post": { "operationId": "run-sync-musicae-spotify-recommendations-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "seedTracks": { "title": "🎵 Seed Tracks (URLs, IDs, ISRCs, or keywords)", "type": "array", "description": "Seed tracks to base recommendations on (find songs like these). One entry per line.", "items": { "type": "string" } }, "seedArtists": { "title": "🎤 Seed Artists (URLs, IDs, or keywords)", "type": "array", "description": "Seed artists to base recommendations on. One entry per line.", "items": { "type": "string" } }, "seedGenres": { "title": "🏷️ Seed Genres", "type": "array", "description": "Seed genres to base recommendations on (e.g. house, techno, pop). One entry per line.", "items": { "type": "string" } }, "targetEnergy": { "title": "Target Energy (0.0 to 1.0)", "type": "string", "description": "Bias toward this energy level, e.g. 0.8 for high-energy, 0.2 for calm." }, "targetDanceability": { "title": "Target Danceability (0.0 to 1.0)", "type": "string", "description": "Bias toward this danceability, e.g. 0.8 for very danceable." }, "targetValence": { "title": "Target Valence / Mood (0.0 to 1.0)", "type": "string", "description": "Bias toward this mood, e.g. 0.9 for happy or positive, 0.2 for moody." }, "targetTempo": { "title": "Target Tempo (BPM)", "minimum": 0, "maximum": 300, "type": "integer", "description": "Bias toward this tempo in beats per minute, e.g. 128." }, "targetPopularity": { "title": "Target Popularity (0 to 100)", "minimum": 0, "maximum": 100, "type": "integer", "description": "Bias toward this popularity level, e.g. 80 for mainstream, 20 for deep cuts." }, "limit": { "title": "Number of recommendations", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many recommended tracks to return (1 to 100).", "default": 20 }, "includeAudioFeatures": { "title": "🎛️ Include Audio Features", "type": "boolean", "description": "Attach the full Spotify audio-features object (tempo, key, energy, danceability, valence and more) to each recommended track.", "default": false }, "market": { "title": "🌍 Market", "type": "string", "description": "Optional ISO 3166-1 alpha-2 country code (e.g. US, GB, FR) to bias track availability." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by the scraper. Apify Proxy is enabled by default." } } }, "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 } } } } } } } } } } ```