# Lottery Results Scraper: Powerball, Mega Millions & More (`scrapemint/lottery-results-scraper`) Actor Official winning numbers from state open data: Powerball (with Double Play), Mega Millions, NY Lotto, Cash4Life, Take 5, and Pick 10. Parsed number arrays, special balls, and multipliers, with full history back years. Schedule with dedupe for a new-draws feed. Pay per draw. - **URL**: https://apify.com/scrapemint/lottery-results-scraper.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** News, Other - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Lottery Results Scraper: Powerball, Mega Millions & More Official winning numbers, straight from state open data, parsed into clean rows. Results-API vendors charge $10 to $50 a month for this; here a draw costs a fifth of a cent, and quiet days cost nothing. ### Supported games | Game | Notes | | --- | --- | | **Powerball** | Main draw with multiplier, plus Double Play as its own row | | **Mega Millions** | With the Mega Ball | | **New York Lotto** | With the bonus ball | | **Cash4Life** | With the Cash Ball (the state feed can lag some months) | | **New York Take 5** | Midday and evening draws as separate rows | | **New York Pick 10** | All 20 drawn numbers | ### What you get One row per draw: | Field | Description | | --- | --- | | `game`, `drawDate`, `drawTime` | Which draw (Take 5 has Midday/Evening, Powerball has Double Play) | | `numbers` | The winning numbers as a parsed array, ready to use | | `specialBallName`, `specialBall` | Powerball / Mega Ball / Bonus / Cash Ball | | `multiplier` | Power Play multiplier where published | ### Run it as a feed Turn on `dedupe` and schedule the actor daily: each run returns only draws it has not returned before. Draw nights produce a row or two, other days produce nothing and cost nothing. ### Typical uses - **Results websites and apps**: stop hand-entering numbers or paying subscription APIs. - **Alert bots and newsletters**: structured rows the moment your schedule catches a new draw. - **Number analysis**: pull the full multi-year history of a game in one run (`sinceDays: 15000`) - Powerball history is thousands of draws. - **Widgets**: the parsed `numbers` array drops straight into a display component. ### Pricing You pay per draw row (`draw_row`). The first 2 rows of every run are free. The complete Powerball history is about $7. A daily feed of Powerball + Mega Millions is under $0.05 a month. ### Input example ```json { "games": ["powerball", "megamillions"], "sinceDays": 90, "dedupe": true } ```` ### Notes - Source is New York State's official open-data portal, which publishes the multi-state national games (Powerball, Mega Millions) and NY games. No key, no login, no browser. - Winning numbers are identical nationwide for multi-state games; the source state does not matter. - This actor reports results only. It has no connection to ticket sales and no prediction features. # Actor input Schema ## `games` (type: `array`): Which games to fetch. Empty = all supported games. ## `sinceDays` (type: `integer`): How far back to fetch. Set large (e.g. 15000) for the full history of a game. ## `maxRows` (type: `integer`): Cap on draw rows returned, split across the selected games. Controls total cost. ## `dedupe` (type: `boolean`): Remember returned draws across runs and skip them. Turn on with a daily schedule for a hands-free new-results feed. ## Actor input object example ```json { "games": [ "powerball", "megamillions" ], "sinceDays": 30, "maxRows": 50, "dedupe": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "games": [ "powerball", "megamillions" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/lottery-results-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "games": [ "powerball", "megamillions", ] } # Run the Actor and wait for it to finish run = client.actor("scrapemint/lottery-results-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 '{ "games": [ "powerball", "megamillions" ] }' | apify call scrapemint/lottery-results-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/lottery-results-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Lottery Results Scraper: Powerball, Mega Millions & More", "description": "Official winning numbers from state open data: Powerball (with Double Play), Mega Millions, NY Lotto, Cash4Life, Take 5, and Pick 10. Parsed number arrays, special balls, and multipliers, with full history back years. Schedule with dedupe for a new-draws feed. Pay per draw.", "version": "0.1", "x-build-id": "IsLlcvU863VSNWhT9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~lottery-results-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-lottery-results-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~lottery-results-scraper/runs": { "post": { "operationId": "runs-sync-scrapemint-lottery-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~lottery-results-scraper/run-sync": { "post": { "operationId": "run-sync-scrapemint-lottery-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "games": { "title": "Games", "type": "array", "description": "Which games to fetch. Empty = all supported games.", "items": { "type": "string", "enum": [ "powerball", "megamillions", "nylotto", "cash4life", "take5", "pick10" ], "enumTitles": [ "Powerball", "Mega Millions", "New York Lotto", "Cash4Life", "New York Take 5", "New York Pick 10" ] }, "default": [] }, "sinceDays": { "title": "Draws from the last N days", "minimum": 1, "maximum": 20000, "type": "integer", "description": "How far back to fetch. Set large (e.g. 15000) for the full history of a game.", "default": 30 }, "maxRows": { "title": "Max draws per run", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Cap on draw rows returned, split across the selected games. Controls total cost.", "default": 50 }, "dedupe": { "title": "Skip draws seen in previous runs", "type": "boolean", "description": "Remember returned draws across runs and skip them. Turn on with a daily schedule for a hands-free new-results feed.", "default": false } } }, "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 } } } } } } } } } } ```