# Instagram Music & Trending Audio Scraper (`seemuapps/instagram-music-scraper`) Actor Search Instagram's audio library by song, artist, or keyword get track details, Reel usage counts, trending status, and the top Reels using each sound. - **URL**: https://apify.com/seemuapps/instagram-music-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Videos, Social media, Developer tools - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 1,000 audio track scrapeds 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 ## Instagram Music & Trending Audio Scraper Search Instagram's audio library by song, artist, or keyword — get track details, how many Reels use each sound, trending status, and the top Reels using it. No login required. ### What you get For every audio track matching your search, the scraper returns: **Track details** - Title, artist, and duration - Audio cluster ID and audio asset ID (Instagram's internal sound identifiers) - Explicit flag and whether the track has lyrics - Cover artwork URL **Reel usage & trend signal** - How many Reels use the sound (e.g. "2.4M reels") - Whether the sound is currently trending in Reels **Audio links** - 30-second preview URL and the full progressive download URL **Top Reels using the sound** (optional) - For each track, the top Reels that use it — shortcode, Reel URL, creator username, play count, and like count ### Use cases - **Trending audio research** — find the sounds gaining traction so your Reels ride the trend - **Sound sourcing** — discover the exact audio behind a track or artist to use in your own content - **Creator & agency planning** — build a content calendar around trending and high-usage sounds - **Competitor analysis** — see which Reels are winning with a given sound - **Music marketing** — track how an artist's songs are spreading across Reels ### How to use 1. Enter one or more **song, artist, or sound keywords** (e.g. `espresso`, `taylor swift`) 2. (Optional) Set **Top Reels per track** to also pull the best-performing Reels for each sound 3. Set **Max Items** (default 0 for all results) 4. Run the actor — results appear in the **Dataset** tab ### Output format Each dataset record: ```json { "query": "espresso", "audioClusterId": "372856436975309", "title": "Espresso", "artist": "Sabrina Carpenter", "durationSeconds": 175.5, "isExplicit": false, "reelsCountText": "2.4M reels", "isTrending": true, "coverArtworkUrl": "https://...jpg", "previewUrl": "https://...mp4", "downloadUrl": "https://...mp4", "topReels": [ { "shortcode": "C7WtZcaO0ts", "reelUrl": "https://www.instagram.com/reel/C7WtZcaO0ts/", "username": "teamsabrina", "playCount": 7315600, "likeCount": 412000 } ] } ```` # Actor input Schema ## `queries` (type: `array`): One or more song titles, artist names, or sound keywords to search Instagram's audio library for (e.g. "espresso", "taylor swift", "trending"). Each returns matching tracks with their Reel usage and trending status. ## `reelsPerTrack` (type: `integer`): For each track, also fetch this many top Reels that use the sound (username, play count, like count). Set 0 to skip. Higher values are slower and use more API calls. Max 12. ## `maxItems` (type: `integer`): Maximum number of tracks to return across all keywords. Set 0 for as many as the search returns. ## Actor input object example ```json { "queries": [ "espresso" ], "reelsPerTrack": 0, "maxItems": 0 } ``` # Actor output Schema ## `results` (type: `string`): Each record contains query, audioClusterId, audioAssetId, title, artist, durationSeconds, isExplicit, hasLyrics, reelsCountText, isTrending, coverArtworkUrl, previewUrl, downloadUrl, and topReels\[] (when Top Reels per track > 0) with shortcode, reelUrl, username, playCount, likeCount. # 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 = { "queries": [ "espresso" ] }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/instagram-music-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 = { "queries": ["espresso"] } # Run the Actor and wait for it to finish run = client.actor("seemuapps/instagram-music-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 '{ "queries": [ "espresso" ] }' | apify call seemuapps/instagram-music-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/instagram-music-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Music & Trending Audio Scraper", "description": "Search Instagram's audio library by song, artist, or keyword get track details, Reel usage counts, trending status, and the top Reels using each sound.", "version": "1.0", "x-build-id": "aIKvDCqrLmx5BNzRU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~instagram-music-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-instagram-music-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/seemuapps~instagram-music-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-instagram-music-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/seemuapps~instagram-music-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-instagram-music-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", "required": [ "queries" ], "properties": { "queries": { "title": "Song / artist / sound keywords", "type": "array", "description": "One or more song titles, artist names, or sound keywords to search Instagram's audio library for (e.g. \"espresso\", \"taylor swift\", \"trending\"). Each returns matching tracks with their Reel usage and trending status.", "items": { "type": "string" } }, "reelsPerTrack": { "title": "Top Reels per track", "minimum": 0, "maximum": 12, "type": "integer", "description": "For each track, also fetch this many top Reels that use the sound (username, play count, like count). Set 0 to skip. Higher values are slower and use more API calls. Max 12.", "default": 0 }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of tracks to return across all keywords. Set 0 for as many as the search returns.", "default": 0 } } }, "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 } } } } } } } } } } ```