# Songsterr Tab Catalog Metadata Scraper (`jungle_synthesizer/songsterr-tab-catalog-metadata-scraper`) Actor Indexes the Songsterr song catalog via their public JSON API and returns structured metadata for every song — title, artist, instrument tracks, tunings (MIDI), view counts, and page URL. Metadata-only: no tab bodies or notation payloads are fetched, keeping the dataset clean and legal. - **URL**: https://apify.com/jungle\_synthesizer/songsterr-tab-catalog-metadata-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Education, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Songsterr Tab Catalog Metadata Scraper Index the complete Songsterr song catalog via their public JSON API. Returns structured metadata for every song in the library — artist, instruments, tunings, view stats, and page URL. Metadata-only: no tab bodies or notation payloads are fetched. ### What It Does Songsterr is one of the world's largest interactive guitar tab platforms, with over 600,000 songs spanning every genre and instrument. This actor queries the Songsterr public catalog API and exports a clean, structured dataset covering: - **Song identity**: title, artist, Songsterr song ID and artist ID - **Instrument inventory**: which instruments (guitar, bass, drums, vocals, etc.) each song has tabs for - **Tuning data**: distinct tuning configurations across all tracks, as MIDI note arrays - **Engagement signals**: total view counts across all tracks - **Direct links**: the Songsterr page URL for each song **Legal note**: this actor fetches catalog metadata only. It does not request or store tablature bodies, notation files, or audio — keeping the dataset clean for research and application use. ### Use Cases - **Practice app builders** — seed a song/instrument database without manual curation - **Music information retrieval (MIR) researchers** — instrument coverage and tuning distribution analysis across a large corpus - **Music-ed platforms** — verify whether a requested song has tabs before surfacing it to users - **Content enrichment** — augment your own music catalog with Songsterr instrument and tuning data ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `queries` | array of strings | No | Artist names, song titles, or keywords to search. Leave empty to run a full A-Z catalog sweep. | | `maxItems` | integer | No | Maximum records to return. Leave blank for unlimited (full catalog). | **Example — fetch Metallica songs:** ```json { "queries": ["metallica"], "maxItems": 50 } ```` **Example — full catalog sweep (all songs):** ```json {} ``` ### Output Each record in the dataset represents one song. | Field | Type | Description | |-------|------|-------------| | `song_id` | integer | Songsterr numeric song ID | | `title` | string | Song title | | `artist` | string | Artist name | | `artist_id` | integer | Songsterr numeric artist ID | | `has_chords` | boolean | Whether chord charts are available | | `has_player` | boolean | Whether the interactive tab player is available | | `tracks` | string (JSON) | Per-instrument track objects (instrumentId, name, instrument, views, tuning array, difficulty) | | `track_instruments` | string | Comma-separated list of distinct instruments for this song | | `tuning_set` | string (JSON) | Distinct tuning arrays (MIDI note arrays) across all tracks | | `total_track_views` | integer | Sum of view counts across all tracks | | `songsterr_url` | string | Direct URL to the song page on Songsterr | | `scraped_at` | string | ISO 8601 timestamp of when this record was collected | **Example record:** ```json { "song_id": 455118, "title": "Master of Puppets", "artist": "Metallica", "artist_id": 20, "has_chords": true, "has_player": true, "tracks": "[{\"instrumentId\":30,\"instrument\":\"Distortion Guitar\",\"views\":1782112,...}]", "track_instruments": "Distortion Guitar, Electric Bass (finger), Drums, Vocals", "tuning_set": "[[64,59,55,50,45,40],[43,38,33,28]]", "total_track_views": 2485514, "songsterr_url": "https://www.songsterr.com/a/wsa/metallica-master-of-puppets-tab-s455118", "scraped_at": "2026-05-21T11:00:00.000Z" } ``` ### Discovery Mode When `queries` is empty (default), the actor runs a built-in A-Z sweep — 26 parallel query seeds — to collect the full Songsterr catalog. For targeted pulls (a specific artist, genre keyword, or song title), supply one or more search terms in `queries`. ### Performance - Memory: 256 MB - Rate limiting: 300 ms between API pages (polite pacing) - Full catalog sweep: covers ~600k songs across 26 query seeds ### Notes - The Songsterr public catalog API (`/api/songs`) does not require authentication. - Tuning arrays are MIDI note numbers (e.g. standard guitar E standard = `[64, 59, 55, 50, 45, 40]`). - The actor deduplicates tunings per song so `tuning_set` lists only distinct configurations. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `queries` (type: `array`): List of search terms (artist names, song titles, etc.) to query the Songsterr catalog API. Leave empty to run the built-in A–Z sweep and collect the full catalog. ## `maxItems` (type: `integer`): Maximum number of song records to return. Leave blank for unlimited (full catalog mode). Recommended: set a small value (e.g. 10) for test runs. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "queries": [ "metallica", "led zeppelin", "nirvana" ], "maxItems": 10 } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "queries": [ "metallica", "led zeppelin", "nirvana" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/songsterr-tab-catalog-metadata-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "queries": [ "metallica", "led zeppelin", "nirvana", ], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/songsterr-tab-catalog-metadata-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "queries": [ "metallica", "led zeppelin", "nirvana" ], "maxItems": 10 }' | apify call jungle_synthesizer/songsterr-tab-catalog-metadata-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/songsterr-tab-catalog-metadata-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Songsterr Tab Catalog Metadata Scraper", "description": "Indexes the Songsterr song catalog via their public JSON API and returns structured metadata for every song — title, artist, instrument tracks, tunings (MIDI), view counts, and page URL. Metadata-only: no tab bodies or notation payloads are fetched, keeping the dataset clean and legal.", "version": "0.1", "x-build-id": "dbM9N0aP94xu1bb7e" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~songsterr-tab-catalog-metadata-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-songsterr-tab-catalog-metadata-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/jungle_synthesizer~songsterr-tab-catalog-metadata-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-songsterr-tab-catalog-metadata-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/jungle_synthesizer~songsterr-tab-catalog-metadata-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-songsterr-tab-catalog-metadata-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": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "queries": { "title": "Search Queries", "type": "array", "description": "List of search terms (artist names, song titles, etc.) to query the Songsterr catalog API. Leave empty to run the built-in A–Z sweep and collect the full catalog.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of song records to return. Leave blank for unlimited (full catalog mode). Recommended: set a small value (e.g. 10) for test runs." } } }, "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 } } } } } } } } } } ```