# Draftkings Predictions (`hypebridge/draftkings-predictions`) Actor Scrape prediction markets, odds, and pricing data from DraftKings Predictions platform across sports (NFL, NBA, NHL, CFB, CBB) and financial categories (Economics, Stock Market, Crypto, Commodities) - **URL**: https://apify.com/hypebridge/draftkings-predictions.md - **Developed by:** [Hypebridge](https://apify.com/hypebridge) (community) - **Categories:** Automation, E-commerce, Integrations - **Stats:** 21 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $40.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## DraftKings Predictions Scraper Scrape prediction markets, odds, and pricing data from [DraftKings Predictions](https://predictions.draftkings.com/) platform. ### Features - **Multi-Category Support**: Scrape sports (NFL, NBA, NHL, CFB, CBB) and financial markets (Economics, Stock Market, Crypto, Commodities) - **Flexible Subcategories**: Sports support Games/Futures; financial categories have specific market types (S&P, Bitcoin, Gold, etc.) - **More Markets**: Scrape additional alternate lines from event detail pages (enabled by default) - **Complete Market Data**: Extract spreads, totals, and moneyline odds for sports; threshold lines for financial markets - **Live & Upcoming Events**: Capture both live in-progress events and upcoming matches - **Team Information**: Team names, logos, and live scores when available ### Supported Categories #### Sports Categories | Category | Subcategories | Description | | -------- | -------------- | --------------------------------------- | | Featured | - | Featured/highlighted prediction markets | | NFL | games, futures | National Football League | | CFB | games, futures | College Football | | NBA | games, futures | National Basketball Association | | NHL | games, futures | National Hockey League | | CBB | games, futures | College Basketball | #### Financial Categories | Category | Subcategories | Description | | ------------ | --------------------------------------- | --------------------------------- | | Economics | - | Economic indicators and forecasts | | Stock Market | s&p, nasdaq, dow, russell | Stock index predictions | | Crypto | bitcoin | Cryptocurrency predictions | | Commodities | oil-gas, gold, silver, copper, currency | Commodity market predictions | ### Input | Parameter | Type | Default | Description | | -------------------- | ------- | -------- | ------------------------------------------------------------------------------------------------------------------------------------- | | `sportsCategory` | array | [] (all) | Categories to scrape. Leave empty for all categories. | | `subcategory` | string | "" | Subcategory to scrape. For sports: `games` or `futures`. For financial categories, see table above. Leave empty for default behavior. | | `includeMoreMarkets` | boolean | true | When enabled, scrapes additional market lines from each event's detail page (e.g., alternate spreads, alternate totals). | #### Example Input **Scrape NFL games only:** ```json { "sportsCategory": ["nfl"], "subcategory": "games" } ```` **Scrape NBA futures (outright winners):** ```json { "sportsCategory": ["nba"], "subcategory": "futures" } ``` **Scrape Stock Market Russell index:** ```json { "sportsCategory": ["stock-market"], "subcategory": "russell" } ``` **Scrape Commodities copper markets:** ```json { "sportsCategory": ["commodities"], "subcategory": "copper" } ``` **Scrape Crypto Bitcoin markets:** ```json { "sportsCategory": ["crypto"], "subcategory": "bitcoin" } ``` **Scrape all categories (default settings):** ```json { "sportsCategory": [] } ``` ### Output The scraper produces two types of output based on the category type. #### Sports Output Each sports record includes: - **Event Info**: eventId, homeTeam, awayTeam, eventStatus, eventTime - **Market Data**: marketType (Spread/Total/Moneyline), line, homeOdds, awayOdds - **Team Details**: homeTeamLogo, awayTeamLogo, homeScore, awayScore (if live) - **Metadata**: category, subcategory, type, marketGroupId, marketId, url, isMoreMarkets, scrapedAt ```json { "category": "nfl", "subcategory": "games", "type": "sport", "eventId": "896217", "homeTeam": "NE Patriots", "awayTeam": "DEN Broncos", "homeTeamLogo": "https://dkn.gs/sports/images/nfl/teams/helmets-right-non-ip/160/18415.png", "awayTeamLogo": "https://dkn.gs/sports/images/nfl/teams/helmets-right-non-ip/160/18342.png", "homeScore": null, "awayScore": null, "marketType": "Spread", "line": "-5.5", "homeOdds": "-5.5-104", "awayOdds": "+5.5-113", "marketGroupId": "DKP2-FHDKOFMM2E6YED", "marketId": "DKP2-FHDKOFMM2E6YED-NEXM-5.5", "eventStatus": "Upcoming", "eventTime": "Sun 3:00 PM", "url": "https://predictions.draftkings.com/en/nfl/events/896217", "isMoreMarkets": false, "scrapedAt": "2026-01-19T12:00:00.000Z" } ``` #### Financial Output Each financial record includes: - **Market Info**: marketTitle, marketIcon, marketGroupId - **Lines**: Array of threshold lines with description, marketId, yesOdds, noOdds - **Metadata**: category, subcategory, type, url, isMoreMarkets, scrapedAt ```json { "category": "stock-market", "subcategory": "russell", "type": "financial", "marketTitle": "CME E-mini Russell futures at 10AM ET on Jan. 20th, 2026", "marketIcon": "https://predictions.draftkings.com/assets/fallback-images/flame-graph.webp", "marketGroupId": "DKP2-ECR10F620", "lines": [ { "description": "Above $2,650.00", "marketId": "DKP2-ECR10F620-M2650", "yesOdds": "-270", "noOdds": "+213" }, { "description": "Above $2,675.00", "marketId": "DKP2-ECR10F620-M2675", "yesOdds": "+257", "noOdds": "-335" } ], "url": "https://predictions.draftkings.com/en/stock-market/market-group-details/DKP2-ECR10F620", "isMoreMarkets": false, "scrapedAt": "2026-01-20T05:44:30.377Z" } ``` ### Notes - Odds are displayed in American format (e.g., -104, +113) - Sports lines include the point spread value (e.g., -5.5, +2.5) - Total markets show Over/Under with the line (e.g., "O 42.5-104", "U 42.5-113") - Live sports events include current scores when available - Financial markets show Yes/No odds for threshold predictions (e.g., "Above $2,650.00") - The `type` field distinguishes between `sport` and `financial` records - When `includeMoreMarkets` is enabled, additional lines are scraped from detail pages and marked with `isMoreMarkets: true` # Actor input Schema ## `sportsCategory` (type: `array`): Select which sports or categories to scrape. Leave empty for all categories. ## `subcategory` (type: `string`): Subcategory to scrape. For sports: 'games' (head-to-head matchups) or 'futures' (outright winners). For financial categories, use specific market types: stock-market (s\&p, nasdaq, dow, russell), commodities (oil-gas, gold, silver, copper, currency), crypto (bitcoin). Leave empty for default behavior. ## `maxResults` (type: `integer`): Maximum number of items to return. Set to 0 for unlimited results. ## `includeMoreMarkets` (type: `boolean`): When enabled, scrapes additional market lines from each event's detail page (e.g., alternate spreads, alternate totals). Charged per event detail page scraped. ## `proxyConfiguration` (type: `object`): Proxy settings. DraftKings requires residential proxies for sports pages. Financial pages may work with datacenter proxies. ## Actor input object example ```json { "sportsCategory": [ "crypto" ], "subcategory": "bitcoin", "maxResults": 20, "includeMoreMarkets": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `overviewView` (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 = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("hypebridge/draftkings-predictions").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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", } } # Run the Actor and wait for it to finish run = client.actor("hypebridge/draftkings-predictions").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 '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call hypebridge/draftkings-predictions --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hypebridge/draftkings-predictions", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Draftkings Predictions", "description": "Scrape prediction markets, odds, and pricing data from DraftKings Predictions platform across sports (NFL, NBA, NHL, CFB, CBB) and financial categories (Economics, Stock Market, Crypto, Commodities)", "version": "0.0", "x-build-id": "1SKr0dJKoxF7Q6c1N" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hypebridge~draftkings-predictions/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hypebridge-draftkings-predictions", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hypebridge~draftkings-predictions/runs": { "post": { "operationId": "runs-sync-hypebridge-draftkings-predictions", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hypebridge~draftkings-predictions/run-sync": { "post": { "operationId": "run-sync-hypebridge-draftkings-predictions", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "sportsCategory" ], "properties": { "sportsCategory": { "title": "Sports / Category", "type": "array", "description": "Select which sports or categories to scrape. Leave empty for all categories.", "items": { "type": "string", "enum": [ "featured", "nfl", "cfb", "nba", "nhl", "cbb", "economics", "stock-market", "crypto", "commodities" ], "enumTitles": [ "Featured", "NFL", "College Football (CFB)", "NBA", "NHL", "College Basketball (CBB)", "Economics", "Stock Market", "Crypto", "Commodities" ] }, "default": [ "crypto" ] }, "subcategory": { "title": "Subcategory", "type": "string", "description": "Subcategory to scrape. For sports: 'games' (head-to-head matchups) or 'futures' (outright winners). For financial categories, use specific market types: stock-market (s&p, nasdaq, dow, russell), commodities (oil-gas, gold, silver, copper, currency), crypto (bitcoin). Leave empty for default behavior.", "default": "bitcoin" }, "maxResults": { "title": "Maximum Results", "minimum": 0, "type": "integer", "description": "Maximum number of items to return. Set to 0 for unlimited results.", "default": 20 }, "includeMoreMarkets": { "title": "Include More Markets", "type": "boolean", "description": "When enabled, scrapes additional market lines from each event's detail page (e.g., alternate spreads, alternate totals). Charged per event detail page scraped.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. DraftKings requires residential proxies for sports pages. Financial pages may work with datacenter proxies.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```