# Sports Bookmakers Odds Scraper (`powerai/sports-bookmakers-odds-scraper`) Actor

Scrape sportsbook odds with opening and current lines — moneyline, spreads, totals — for NFL, NBA, MLB, NHL, soccer, UFC, and golf.

- **URL**: https://apify.com/powerai/sports-bookmakers-odds-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### Sports Bookmakers Odds Scraper

Pull betting odds with opening and current lines — moneyline, point spread, totals, soccer draws, and UFC fight props — for major US leagues, top European soccer competitions, UFC, and golf tours. Each dataset row is one outcome quote (event × bookmaker × market × outcome), ready for spreadsheets and models. No API key and no login required.

#### What you get

- One row per outcome quote with American and decimal prices on every row
- Moneyline (`h2h`) for home and away, plus `Draw` for soccer three-way markets
- Point spread / puck line / run line with the line and price on each side
- Totals (over / under) with the line and juice
- Opening vs current: `openPrice`, `openPoint`, plus `priceMovement` and `pointMovement`
- Live scores, game status, venue, team abbreviations, and a stable `eventId`
- UFC fight cards: moneyline, total rounds, and available fight props
- Golf: board scrape when bookmaker markets are listed (outright coverage varies by event)

#### Supported leagues

| Key | League |
| --- | --- |
| `nfl` | NFL |
| `ncaaf` | NCAA Football |
| `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 |
| `dpworld` | DP World Tour |
| `liv` | LIV Golf |

Pass multiple league keys to scrape several leagues in one run.

#### Input

| Field | Type | Default | Description |
| --- | --- | --- | --- |
| `leagues` | array | `["nfl"]` | One or more league keys from the table above |
| `dates` | string | today (UTC) | `YYYYMMDD` or `YYYYMMDD-YYYYMMDD`. Empty = today. Golf uses the current open board |
| `oddsFormat` | string | `american` | `american` or `decimal` for the primary `price` / `openPrice` fields (both formats are always included as columns) |
| `maxItems` | integer | `0` | Max rows per run. `0` = no cap |

#### Example

```json
{
  "leagues": ["nfl", "epl"],
  "oddsFormat": "american",
  "maxItems": 200
}
```

#### Output fields

`league`, `leagueName`, `eventId`, `eventName`, `commenceTime`, `status`, `completed`, `venue`, `homeTeam`, `homeTeamAbbr`, `homeScore`, `awayTeam`, `awayTeamAbbr`, `awayScore`, `bookmaker`, `marketKey`, `outcomeName`, `price`, `priceAmerican`, `priceDecimal`, `point`, `openPrice`, `openPriceAmerican`, `openPriceDecimal`, `openPoint`, `priceMovement`, `pointMovement`, `oddsFormat`, `details`, `fetchedAt`

#### Market keys

| `marketKey` | Meaning |
| --- | --- |
| `h2h` | Moneyline |
| `spreads` | Point spread / handicap |
| `totals` | Over / Under |
| `method_of_victory` / `props` | UFC fight props when listed |
| `outrights` | Golf winner markets when listed |

#### Notes

- Bookmaker coverage follows what the public odds feed exposes for each slate (often DraftKings for US sports and soccer)
- Completed games keep closing-line style quotes when still available
- Preseason / off-season / early-week golf events may return few or no rows until books open markets
- Residential proxies are optional; the default public endpoints usually work without a proxy

# 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, dpworld, liv. Pass multiple to scrape several leagues in one run.

## `dates` (type: `string`):

Optional. YYYYMMDD for a single day or YYYYMMDD-YYYYMMDD for a UTC date range. Leave empty for today's slate. Golf uses markets currently listed on the board.

## `oddsFormat` (type: `string`):

Format for the primary price and openPrice fields. American and decimal columns are always included on each row.

## `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

## `overview` (type: `string`):

Table view of odds quotes.

## `rawResults` (type: `string`):

All dataset items as JSON.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "leagues": [
        "nfl"
    ],
    "dates": "",
    "oddsFormat": "american",
    "maxItems": 0
};

// Run the Actor and wait for it to finish
const run = await client.actor("powerai/sports-bookmakers-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "leagues": ["nfl"],
    "dates": "",
    "oddsFormat": "american",
    "maxItems": 0,
}

# Run the Actor and wait for it to finish
run = client.actor("powerai/sports-bookmakers-odds-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": "",
  "oddsFormat": "american",
  "maxItems": 0
}' |
apify call powerai/sports-bookmakers-odds-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerai/sports-bookmakers-odds-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Bhha8t7vvB9Xi2WtM/builds/40BDTJzUOYLnyU75f/openapi.json