# Sports Betting Odds Scraper — NFL, NBA, MLB, NHL, Soccer Lines (`seemuapps/sports-odds-scraper`) Actor Scrape live betting lines — moneyline, spread, total over/under. NFL, NBA, MLB, NHL, NCAAF, NCAAB, EPL, MLS, UCL, UFC, PGA, and more. Plus scores, venue, status. No API key. - **URL**: https://apify.com/seemuapps/sports-odds-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Social media, E-commerce, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 odds rows 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 ## Sports Betting Odds Scraper — NFL, NBA, MLB, NHL, Soccer Lines Scrape live betting lines — moneyline, spread, total over/under — for NFL, NBA, MLB, NHL, NCAAF, NCAAB, EPL, MLS, UCL, UFC, PGA, and more. Plus scores, venue, status. No API key required. ### What you get - One row per outcome quote — event × bookmaker × market × outcome — ready for spreadsheet workflows, Sheets formulas, and dashboards - **Moneyline (h2h)** prices for home and away - **Point spread** with the line and the standard -110 vig - **Totals (over / under)** with the line and the actual juice - Live **scores** and game **status** (Scheduled / In Progress / Final) included on every row - **Venue**, team abbreviations, and ESPN event ID for joining to other datasets - Both **American** and **Decimal** odds on every row regardless of the chosen display format - Direct export to JSON, CSV, Excel, or Google Sheets — no transformation needed ### Supported leagues | Key | League | |-----|--------| | `nfl` | NFL | | `ncaaf` | NCAA Football (FBS + FCS) | | `nba` | NBA | | `wnba` | WNBA | | `ncaam` / `ncaaw` | NCAA Men's / Women's Basketball | | `mlb` | MLB | | `nhl` | NHL | | `mls` | MLS | | `epl` | English Premier League | | `laliga` | La Liga | | `seriea` | Serie A | | `bundesliga` | Bundesliga | | `ligue1` | Ligue 1 | | `ucl` | UEFA Champions League | | `uel` | UEFA Europa League | | `ufc` | UFC | | `pga` | PGA Tour | Pass multiple league keys at once to scrape every supported league in a single run. ### Use cases - **Daily lines dashboard** — schedule a run each morning, paste the dataset into Sheets - **Line shopping** — pull the same slate from this actor and a second sportsbook source, compare prices in a spreadsheet join - **Bankroll analytics** — feed historical line snapshots into a model alongside scores from the same row - **Content / media** — power "tonight's lines" widgets and game previews - **Bet tracking** — match your tickets back to the closing line for CLV analysis ### How to use 1. Pick one or more **Leagues** (e.g. `nfl`, `nba`). 2. Optionally enter **Dates** — `YYYYMMDD` for one day or `YYYYMMDD-YYYYMMDD` for a range. Leave empty for today's slate. 3. Pick **Odds format** — American or Decimal. Both columns are always emitted regardless. 4. Set **Max items** (0 = no cap) and run. ### Output format ```json { "league": "nfl", "leagueName": "NFL", "eventId": "401872656", "eventName": "New England Patriots at Seattle Seahawks", "commenceTime": "2026-09-10T00:20Z", "status": "STATUS_SCHEDULED", "completed": false, "venue": "Lumen Field", "homeTeam": "Seattle Seahawks", "homeTeamAbbr": "SEA", "homeScore": null, "awayTeam": "New England Patriots", "awayTeamAbbr": "NE", "awayScore": null, "bookmaker": "Draft Kings", "marketKey": "h2h", "outcomeName": "Seattle Seahawks", "price": -205, "priceAmerican": -205, "priceDecimal": 1.4878, "point": null, "oddsFormat": "american", "details": "SEA -3.5", "fetchedAt": "2026-05-18T12:00:01.234Z" } ```` For each event you'll typically get 6 rows from the available bookmaker(s): - 2 × `h2h` (home / away moneyline) - 2 × `spreads` (home / away with the `point` field set) - 2 × `totals` (over / under with the line in `point`) ### Bookmakers This actor sources from ESPN, which surfaces lines from its current sportsbook partners (typically DraftKings, ESPN BET, or Caesars depending on the sport and event). The `bookmaker` column tells you exactly which book each row is from. Coverage varies by league and game — preseason and off-season events often have no lines. ### Input options | Field | Type | Description | |-------|------|-------------| | Leagues | array | One or more league keys from the table above | | Dates | string | `YYYYMMDD` or `YYYYMMDD-YYYYMMDD`, UTC. Empty = today | | Odds format | enum | `american` or `decimal` | | Max items | integer | Max rows per run. 0 = no cap | ### Notes - Coverage depends on whether ESPN has odds for the event — preseason / off-season games often have none, and very obscure leagues (lower-division soccer, minor tournaments) are excluded - Spreads use the standard −110 juice on both sides (ESPN exposes the line, not the price) - Live scores are populated when the game is in progress or final # Actor input Schema ## `leagues` (type: `array`): League keys. Valid: nfl, ncaaf, nba, wnba, ncaam, ncaaw, mlb, nhl, mls, epl, laliga, seriea, bundesliga, ligue1, ucl, uel, ufc, pga. Pass multiple to scrape several leagues in one run. ## `dates` (type: `string`): Optional. 'YYYYMMDD' for a single day or 'YYYYMMDD-YYYYMMDD' for a date range, all UTC. Leave empty for today's slate. ## `oddsFormat` (type: `string`): Format for the price field. Both priceAmerican and priceDecimal are always included on each row regardless. ## `maxItems` (type: `integer`): Maximum rows (quotes) to return. 0 = no cap. Each row is one outcome from one bookmaker for one market. ## Actor input object example ```json { "leagues": [ "nfl" ], "oddsFormat": "american", "maxItems": 0 } ``` # Actor output Schema ## `results` (type: `string`): Fields: league, leagueName, eventId, eventName, commenceTime, status, completed, venue, homeTeam, homeTeamAbbr, homeScore, awayTeam, awayTeamAbbr, awayScore, bookmaker, marketKey, outcomeName, price, priceAmerican, priceDecimal, point, oddsFormat, details, fetchedAt. # 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 = { "leagues": [ "nfl" ], "dates": "" }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/sports-odds-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 = { "leagues": ["nfl"], "dates": "", } # Run the Actor and wait for it to finish run = client.actor("seemuapps/sports-odds-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 '{ "leagues": [ "nfl" ], "dates": "" }' | apify call seemuapps/sports-odds-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/sports-odds-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sports Betting Odds Scraper — NFL, NBA, MLB, NHL, Soccer Lines", "description": "Scrape live betting lines — moneyline, spread, total over/under. NFL, NBA, MLB, NHL, NCAAF, NCAAB, EPL, MLS, UCL, UFC, PGA, and more. Plus scores, venue, status. No API key.", "version": "1.0", "x-build-id": "3tv13PrhDcZK7KcYN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~sports-odds-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-sports-odds-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~sports-odds-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-sports-odds-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~sports-odds-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-sports-odds-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "leagues" ], "properties": { "leagues": { "title": "Leagues", "type": "array", "description": "League keys. Valid: nfl, ncaaf, nba, wnba, ncaam, ncaaw, mlb, nhl, mls, epl, laliga, seriea, bundesliga, ligue1, ucl, uel, ufc, pga. Pass multiple to scrape several leagues in one run.", "default": [ "nfl" ], "items": { "type": "string" } }, "dates": { "title": "Dates (optional)", "type": "string", "description": "Optional. 'YYYYMMDD' for a single day or 'YYYYMMDD-YYYYMMDD' for a date range, all UTC. Leave empty for today's slate." }, "oddsFormat": { "title": "Odds format", "enum": [ "american", "decimal" ], "type": "string", "description": "Format for the price field. Both priceAmerican and priceDecimal are always included on each row regardless.", "default": "american" }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Maximum rows (quotes) to return. 0 = no cap. Each row is one outcome from one bookmaker for one market.", "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 } } } } } } } } } } ```