# Shazam Charts - Trending Tracks Scraper (`jungle_synthesizer/shazam-charts-trending-tracks-scraper`) Actor Scrape Shazam trending charts — the world's leading virality indicator for music. Fetch top-200 or viral charts for world, country, and city scopes. Each result includes rank, title, artist, track ID, cover art URL, and Apple Music link. Ideal for A\&R scouts, sync agents, and music trend analysts. - **URL**: https://apify.com/jungle\_synthesizer/shazam-charts-trending-tracks-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Social media, Business - **Stats:** 3 total users, 2 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 ## Shazam Charts — Trending Tracks Scraper Scrapes Shazam's top trending charts and returns ranked track data in clean JSON. Shazam processes 40+ million song identifications per day — these charts are one of the most reliable leading indicators for what's actually breaking in music, before it shows up in streaming numbers. Supports global top-200, country-level charts, and the viral chart. Fetch multiple regions in a single run. --- ### What You Get Each track record includes: | Field | Description | |-------|-------------| | `rank` | Chart position (1 = most Shazamed) | | `title` | Track title | | `artist` | Artist name | | `chart_scope` | Chart type: `top-200`, `top-50`, or `viral` | | `chart_region` | Region slug (e.g., `world`, `united-states`, `japan`) | | `chart_date` | Chart date header from Shazam (e.g., "Thursday, 21 May 2026 [performance over the past 7 days]") | | `scrapedAt` | ISO-8601 timestamp | Note: this scraper pulls from Shazam's chart data export endpoint. Fields like cover art and Apple Music links require a separate per-track lookup and are not included. --- ### How to Use **Inputs:** | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `chartScope` | string | `top-200` | Which chart: `top-200`, `top-50`, or `viral` | | `chartRegions` | array | `["world"]` | List of region slugs to scrape | | `maxItems` | integer | `200` | Max tracks per chart (0 = all available) | **Example: scrape the US top-50 and the global viral chart** ```json { "chartScope": "top-50", "chartRegions": ["united-states", "world"], "maxItems": 50 } ```` **Supported regions** (use the slug form): `world`, `united-states`, `united-kingdom`, `japan`, `germany`, `france`, `brazil`, `australia`, `canada`, `mexico`, `south-korea`, `india`, and most other countries Shazam supports. *** ### Output Example ```json { "rank": 1, "title": "Go", "artist": "The Chemical Brothers", "chart_scope": "top-200", "chart_region": "world", "chart_date": "Thursday, 21 May 2026 [performance over the past 7 days]", "scrapedAt": "2026-05-21T11:32:58.330Z" } ``` *** ### Use Cases - **A\&R scouting** — identify breaking tracks before they hit mainstream charts - **Sync licensing** — monitor what's trending globally for sync placement research - **Music analytics** — feed Shazam data into internal dashboards alongside Spotify/Apple Music - **Market research** — compare regional trending patterns across countries - **Playlist curation** — data-driven basis for editorial decisions *** ### Practical Notes **Speed:** Shazam charts are a single lightweight CSV request per region. Fetching 10 regions takes a few seconds. **Rate limiting:** Shazam's chart export is public and not aggressively rate-limited. The scraper uses conservative concurrency (3 parallel requests). **No authentication required.** No Shazam account needed. **Chart update frequency:** Shazam updates charts periodically (typically weekly rolling windows). The `chart_date` field tells you the exact window covered. *** ### Pricing This actor uses pay-per-result pricing. You're charged per track record returned, not per run. Scraping 200 tracks per chart is fast and inexpensive. *** ### Support Questions or issues? Use the actor's issue tracker or reach out via the contact form. Data sourced from [Shazam.com](https://www.shazam.com/charts). # 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. ## `chartScope` (type: `string`): Which chart to scrape: 'top-200', 'top-50', or 'viral' ## `chartRegions` (type: `array`): List of regions to scrape. Use 'world' for the global chart, or country slugs like 'united-states', 'united-kingdom', 'japan', 'germany', 'france', 'brazil', 'australia', 'canada', 'mexico'. Defaults to world chart. ## `maxItems` (type: `integer`): Maximum number of tracks to return per chart. Set to 0 for all available tracks. ## 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...", "chartScope": "top-200", "chartRegions": [ "world" ], "maxItems": 15 } ``` # 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...", "chartScope": "top-200", "chartRegions": [ "world" ], "maxItems": 15 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/shazam-charts-trending-tracks-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...", "chartScope": "top-200", "chartRegions": ["world"], "maxItems": 15, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/shazam-charts-trending-tracks-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...", "chartScope": "top-200", "chartRegions": [ "world" ], "maxItems": 15 }' | apify call jungle_synthesizer/shazam-charts-trending-tracks-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/shazam-charts-trending-tracks-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shazam Charts - Trending Tracks Scraper", "description": "Scrape Shazam trending charts — the world's leading virality indicator for music. Fetch top-200 or viral charts for world, country, and city scopes. Each result includes rank, title, artist, track ID, cover art URL, and Apple Music link. Ideal for A&R scouts, sync agents, and music trend analysts.", "version": "0.1", "x-build-id": "aT84Rg4qDiXXMRrx1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~shazam-charts-trending-tracks-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-shazam-charts-trending-tracks-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~shazam-charts-trending-tracks-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-shazam-charts-trending-tracks-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~shazam-charts-trending-tracks-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-shazam-charts-trending-tracks-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": [ "chartScope", "chartRegions", "maxItems" ], "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." }, "chartScope": { "title": "Chart scope", "enum": [ "top-200", "top-50", "viral" ], "type": "string", "description": "Which chart to scrape: 'top-200', 'top-50', or 'viral'", "default": "top-200" }, "chartRegions": { "title": "Chart regions", "type": "array", "description": "List of regions to scrape. Use 'world' for the global chart, or country slugs like 'united-states', 'united-kingdom', 'japan', 'germany', 'france', 'brazil', 'australia', 'canada', 'mexico'. Defaults to world chart.", "items": { "type": "string" } }, "maxItems": { "title": "Max items per chart", "type": "integer", "description": "Maximum number of tracks to return per chart. Set to 0 for all available tracks.", "default": 200 } } }, "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 } } } } } } } } } } ```