# Betting Odds Feed — Sports Lines API (`ichigowa/betting-odds-feed`) Actor Normalized sports betting odds (spread, moneyline, over/under) per event and bookmaker from public ESPN endpoints for MLB, NFL, NBA, NHL, EPL, MLS and more. Informational only; unofficial, not affiliated with ESPN or any sportsbook. - **URL**: https://apify.com/ichigowa/betting-odds-feed.md - **Developed by:** [kyle herman](https://apify.com/ichigowa) (community) - **Categories:** Sports, Business - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.20 / 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/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 ## Betting Odds Feed — Sports Lines API Free **betting odds API** style feed on Apify: normalized sports odds JSON (point spread, moneyline, over/under totals) per event and bookmaker, pulled from ESPN's public no-auth endpoints. A simple **sports odds api free** alternative for dashboards, models, alerts and research — including **nfl odds json**, MLB run lines, NBA/NHL lines and soccer (EPL, MLS). > **Disclaimer:** Odds are informational only — **not betting advice**. > This actor is unofficial and **not affiliated with ESPN or any sportsbook**. > Availability of lines and bookmakers depends entirely on ESPN's public feeds. ### What it does - Fetches today's (or a chosen date's) events for the leagues you select. - Normalizes each event's odds into one row per **event × bookmaker**. - Fast mode (default): uses the scoreboard-embedded consensus line. - `includeAllProviders: true`: queries ESPN's per-event odds endpoint to enumerate every bookmaker ESPN lists for that event (slower — one extra request per event). - Events without any posted odds are skipped (count is logged). ### Input ```json { "leagues": ["mlb", "nfl", "nba", "nhl"], "date": "", "includeAllProviders": false } ```` | Field | Type | Default | Notes | |---|---|---|---| | `leagues` | array | `["mlb","nfl","nba","nhl"]` | See league codes below | | `date` | string | `""` (today) | `YYYY-MM-DD` | | `includeAllProviders` | boolean | `false` | Per-bookmaker enumeration | #### League codes `mlb`, `nfl`, `nba`, `nhl`, `wnba`, `ncaaf`, `ncaab`, `epl` (English Premier League), `mls` (Major League Soccer). ### Output schema One dataset row per event-provider: | Field | Type | Description | |---|---|---| | `league` | string | Input league code | | `event_id` | string | ESPN event id | | `event_name` | string | e.g. `Detroit Tigers at Chicago Cubs` | | `start_time_utc` | string | ISO 8601 UTC, e.g. `2026-07-22T00:05:00Z` | | `home_team` | string|null | Home team display name | | `away_team` | string|null | Away team display name | | `provider` | string | Bookmaker name (e.g. `DraftKings`) | | `spread` | float|null | Home-relative point spread (negative = home favored) | | `spread_details` | string|null | Raw line string, e.g. `PHI -4.5` | | `over_under` | float|null | Total (O/U) | | `home_moneyline` | int|null | American odds for home team | | `away_moneyline` | int|null | American odds for away team | | `fetched_at` | string | ISO 8601 UTC fetch timestamp | Example row: ```json { "league": "nfl", "event_id": "401872929", "event_name": "Washington Commanders at Philadelphia Eagles", "start_time_utc": "2026-09-13T20:25:00Z", "home_team": "Philadelphia Eagles", "away_team": "Washington Commanders", "provider": "DraftKings", "spread": -4.5, "spread_details": "PHI -4.5", "over_under": 47.5, "home_moneyline": -218, "away_moneyline": 180, "fetched_at": "2026-07-21T15:49:03Z" } ``` ### Bookmakers / providers note ESPN currently surfaces mostly a single primary partner book (DraftKings) on its public feeds; historically the per-event odds endpoint has listed multiple providers (Caesars, consensus, numberFire, etc.). This actor emits whatever ESPN exposes — the provider list can change at any time without notice. ### FAQ **Is this a free sports odds API?** It reads ESPN's public JSON endpoints — no API key or scraping login needed. Standard Apify usage charges apply. **Which markets are covered?** Game-level spread, moneyline and total (over/under). No props or live in-play odds. **Why are some leagues empty?** Off-season or no games on the selected date, or ESPN posted no lines yet (pre-season games often have no odds). Skipped-event counts are logged. **Can I get historical odds?** Pass `date` for past dates; ESPN keeps closing lines for some leagues, but coverage is not guaranteed. **Is this legal / betting advice?** It's public informational data only, not betting advice. Verify local laws before wagering; gamble responsibly. # Actor input Schema ## `leagues` (type: `array`): League codes to fetch odds for. Supported: mlb, nfl, nba, nhl, wnba, ncaaf, ncaab, epl (English Premier League), mls (Major League Soccer). ## `date` (type: `string`): Optional date in YYYY-MM-DD format. Leave empty for today's slate. ## `includeAllProviders` (type: `boolean`): When true, queries ESPN's per-event odds endpoint to enumerate every available bookmaker's line (slower, one extra request per event). When false, uses the fast scoreboard-embedded consensus odds (usually one provider per event). ## Actor input object example ```json { "leagues": [ "mlb", "nfl", "nba", "nhl" ], "date": "", "includeAllProviders": 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 = { "leagues": [ "mlb", "nfl", "nba", "nhl" ], "date": "", "includeAllProviders": false }; // Run the Actor and wait for it to finish const run = await client.actor("ichigowa/betting-odds-feed").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": [ "mlb", "nfl", "nba", "nhl", ], "date": "", "includeAllProviders": False, } # Run the Actor and wait for it to finish run = client.actor("ichigowa/betting-odds-feed").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": [ "mlb", "nfl", "nba", "nhl" ], "date": "", "includeAllProviders": false }' | apify call ichigowa/betting-odds-feed --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ichigowa/betting-odds-feed", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Betting Odds Feed — Sports Lines API", "description": "Normalized sports betting odds (spread, moneyline, over/under) per event and bookmaker from public ESPN endpoints for MLB, NFL, NBA, NHL, EPL, MLS and more. Informational only; unofficial, not affiliated with ESPN or any sportsbook.", "version": "0.1", "x-build-id": "cBsMM56ebrYjB0dxX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ichigowa~betting-odds-feed/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ichigowa-betting-odds-feed", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ichigowa~betting-odds-feed/runs": { "post": { "operationId": "runs-sync-ichigowa-betting-odds-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ichigowa~betting-odds-feed/run-sync": { "post": { "operationId": "run-sync-ichigowa-betting-odds-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "leagues": { "title": "Leagues", "type": "array", "description": "League codes to fetch odds for. Supported: mlb, nfl, nba, nhl, wnba, ncaaf, ncaab, epl (English Premier League), mls (Major League Soccer).", "default": [ "mlb", "nfl", "nba", "nhl" ], "items": { "type": "string" } }, "date": { "title": "Date (YYYY-MM-DD)", "type": "string", "description": "Optional date in YYYY-MM-DD format. Leave empty for today's slate.", "default": "" }, "includeAllProviders": { "title": "Include all bookmakers", "type": "boolean", "description": "When true, queries ESPN's per-event odds endpoint to enumerate every available bookmaker's line (slower, one extra request per event). When false, uses the fast scoreboard-embedded consensus odds (usually one provider per event).", "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 } } } } } } } } } } ```