# Billboard Charts History Scraper (`jungle_synthesizer/billboard-charts-history-scraper`) Actor Scrape historical Billboard chart data — Hot 100, Billboard 200, Artist 100, genre charts, and more. Walk any date range by chart to get rank, title, artist, last week position, peak, and weeks on chart. - **URL**: https://apify.com/jungle\_synthesizer/billboard-charts-history-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Developer tools - **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 ## Billboard Charts History Scraper Scrape historical and current Billboard chart data — Hot 100, Billboard 200, Artist 100, genre charts, and more. Specify a date range to collect full chart-run timelines, or omit dates to get the current week across all major charts. ### What you get Each record contains: | Field | Type | Description | |---|---|---| | `chart` | string | Chart slug (e.g. `hot-100`, `billboard-200`) | | `chart_date` | string | Week-ending date in `YYYY-MM-DD` format | | `rank` | integer | Chart position (1 = #1) | | `title` | string | Song or album title | | `artist` | string | Artist name(s) | | `last_week` | integer | Rank the prior week (`null` for new entries) | | `peak_position` | integer | Highest chart position ever reached | | `weeks_on_chart` | integer | Total weeks on this chart | | `is_new` | boolean | First week on the chart | | `is_reentry` | boolean | Returned after a gap | | `billboard_url` | string | Source URL for this chart/date page | ### How to use #### Current week (default) Leave `startDate` and `endDate` empty. The actor fetches the current chart week for every chart in your `charts` list. #### Historical back-fill Set `startDate` and `endDate` to an ISO date range (e.g. `2024-01-01` to `2024-03-31`). The actor walks every Saturday-ending chart week in that range — Billboard's native cadence. #### Multi-chart run Set `charts` to a list of slugs: ```json { "charts": ["hot-100", "billboard-200", "artist-100", "country-songs", "latin-songs"], "startDate": "2023-01-01", "endDate": "2023-12-31" } ```` This produces a full-year view across 5 charts (approximately 250 chart-week pages with 50 to 200 rows each). ### Input parameters | Parameter | Type | Default | Description | |---|---|---|---| | `charts` | string\[] | Major charts | List of Billboard chart slugs to scrape. Leave empty for all 16 default major charts. | | `startDate` | string | Current week | Start date `YYYY-MM-DD`. Leave empty for current week only. | | `endDate` | string | Current week | End date `YYYY-MM-DD`. Defaults to current week if `startDate` is set. | | `maxItems` | integer | 0 (unlimited) | Cap on total records collected. | ### Available chart slugs (selected) | Slug | Chart name | |---|---| | `hot-100` | Billboard Hot 100 | | `billboard-200` | Billboard 200 (albums) | | `artist-100` | Billboard Artist 100 | | `streaming-songs` | Streaming Songs | | `radio-songs` | Radio Songs | | `digital-song-sales` | Digital Song Sales | | `country-songs` | Hot Country Songs | | `latin-songs` | Hot Latin Songs | | `rock-songs` | Hot Rock Songs | | `rap-song` | Hot Rap Songs | | `r-b-hip-hop-songs` | Hot R\&B/Hip-Hop Songs | | `adult-contemporary` | Adult Contemporary | | `adult-pop-songs` | Adult Pop Airplay | | `hot-alternative-songs` | Hot Alternative Songs | Billboard has 200+ chart slugs. Any slug from the charts navigation at `billboard.com/charts/` will work. ### Use cases - **Music analytics** — track chart trajectories, peak positions, and weeks-on-chart for any song or artist over any time range - **Journalism and research** — pull historical chart data for articles, features, or academic research - **Artist history** — reconstruct an artist's full chart-run timeline across all charts - **Trend analysis** — compare chart performance across genres and time periods - **Database enrichment** — join chart data with streaming, radio, or sales data for deeper analysis ### Performance and cost - Each chart/date page: 200-800 ms fetch time, 50-200 rows extracted - A full current-week run across 16 default charts: approximately 15 seconds, 945 records - A full-year back-fill for Hot 100: 52 requests x 100 rows = 5,200 records - No proxy required — Billboard serves chart data to datacenter IPs ### Notes - Billboard chart weeks end on Saturday. When you specify a date range, the actor snaps to the nearest Saturday and steps by 7 days. - If a requested date redirects (Billboard sometimes adjusts historical dates), the `chart_date` field reflects the actual chart returned. - The `last_week` field is `null` for new entries (`is_new: true`) and re-entries (`is_reentry: true`). # 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. ## `charts` (type: `array`): Billboard chart slugs to scrape (e.g. hot-100, billboard-200, artist-100). Leave empty to scrape all major charts. ## `startDate` (type: `string`): Start date for chart history in YYYY-MM-DD format (e.g. 2024-01-06). Leave empty to use current week only. ## `endDate` (type: `string`): End date for chart history in YYYY-MM-DD format. Defaults to the current week if omitted. ## `maxItems` (type: `integer`): Maximum number of chart entries to collect across all charts and dates. 0 = unlimited. ## 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...", "charts": [ "hot-100", "billboard-200" ], "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...", "charts": [ "hot-100", "billboard-200" ], "startDate": "", "endDate": "", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/billboard-charts-history-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...", "charts": [ "hot-100", "billboard-200", ], "startDate": "", "endDate": "", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/billboard-charts-history-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...", "charts": [ "hot-100", "billboard-200" ], "startDate": "", "endDate": "", "maxItems": 10 }' | apify call jungle_synthesizer/billboard-charts-history-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/billboard-charts-history-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Billboard Charts History Scraper", "description": "Scrape historical Billboard chart data — Hot 100, Billboard 200, Artist 100, genre charts, and more. Walk any date range by chart to get rank, title, artist, last week position, peak, and weeks on chart.", "version": "0.1", "x-build-id": "MOUqopgHP2XgytPLT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~billboard-charts-history-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-billboard-charts-history-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~billboard-charts-history-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-billboard-charts-history-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~billboard-charts-history-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-billboard-charts-history-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." }, "charts": { "title": "Chart Slugs", "type": "array", "description": "Billboard chart slugs to scrape (e.g. hot-100, billboard-200, artist-100). Leave empty to scrape all major charts.", "items": { "type": "string" } }, "startDate": { "title": "Start Date", "type": "string", "description": "Start date for chart history in YYYY-MM-DD format (e.g. 2024-01-06). Leave empty to use current week only." }, "endDate": { "title": "End Date", "type": "string", "description": "End date for chart history in YYYY-MM-DD format. Defaults to the current week if omitted." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of chart entries to collect across all charts and dates. 0 = unlimited.", "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 } } } } } } } } } } ```