# FanDuel Sportsbook Odds Scraper (`bovi/fanduel-scraper`) Actor

Scrapes FanDuel Sportsbook odds for NFL, NBA, MLB, NHL, MMA, soccer and tennis: moneylines, spreads and totals per event, plus optional futures. Every price comes in American, decimal and fractional format. No login.

- **URL**: https://apify.com/bovi/fanduel-scraper.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** Other, Lead generation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.30 / 1,000 fanduel sportsbook odds scrapers

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/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

## FanDuel Sportsbook Odds Scraper

Scrape **FanDuel Sportsbook odds** for NFL, NBA, MLB, NHL, MMA / UFC, soccer and tennis. Each event comes back as one flat row with the moneyline, point spread and total, and every price is given in **American, decimal and fractional** format. Optional league futures (championship winners, season win totals, awards) are returned as one row per market. No login and no API key are needed: the Actor reads the same public odds feed the FanDuel website uses.

### What it collects

- **Game rows** (`record_type: "game"`): event title, sport, league, start time, both participants, home/away team where the sport has one, and the odds below.
- **Moneyline** for both sides, plus the **draw** price for soccer.
- **Spread** (handicap line and price for each side) and **total** (over/under line and both prices) for NFL, NBA, MLB and NHL.
- **Futures rows** (`record_type: "future"`, optional): market name, market type, start time and a `selections` list with American, decimal and fractional odds for every contender.

In the odds columns `1` is `participant_1` (the first name in the event title) and `2` is `participant_2`. For "Away @ Home" events `participant_1` is the away team.

### Input

| Field | Description |
|---|---|
| `sport` | `ALL`, `NFL`, `NBA`, `MLB`, `NHL`, `MMA`, `SOC` (all soccer leagues) or `TEN`. |
| `includeFutures` | Also return futures, outrights and specials. Default `false`. |
| `maxResults` | Maximum number of records to return. Default `50`. |
| `proxyConfiguration` | Optional. Use Apify Proxy, or switch it off to connect directly. |

```json
{
  "sport": "NFL",
  "includeFutures": false,
  "maxResults": 10,
  "proxyConfiguration": { "useApifyProxy": true }
}
```

### Example output

```json
{
  "record_type": "game",
  "event_id": 36160506,
  "title": "Seattle Seahawks @ Denver Broncos",
  "sport": "American Football",
  "league": "NFL",
  "start_time": "2026-10-16T00:16:00.000Z",
  "participant_1": "Seattle Seahawks",
  "participant_2": "Denver Broncos",
  "away_team": "Seattle Seahawks",
  "home_team": "Denver Broncos",
  "in_play": false,
  "moneyline_1_american": -148,
  "moneyline_1_decimal": 1.6757,
  "moneyline_1_fractional": "100/148",
  "moneyline_2_american": 126,
  "spread_1_line": -2.5,
  "spread_1_american": -115,
  "total_line": 40.5,
  "total_over_american": -115,
  "total_under_american": -105,
  "scraped_at": "2026-10-14T06:02:56+00:00"
}
```

Odds change every minute, so schedule the Actor if you want to track line movement. Fields that FanDuel does not offer for an event (for example a spread on a tennis match) are left out of that row instead of being filled with empty values.

### Pricing

Pay per result: you are billed for each record written to the dataset, at **$0.00042 per result** (about $0.42 per 1,000 results). The Actor start fee of the platform applies on top. You pay only for the rows you get, and `maxResults` caps the cost of a run.

### Notes

- Which sports have events depends on the calendar: off-season leagues return only futures.
- Prices are those FanDuel shows to visitors in New Jersey; markets can be suspended or removed close to game time.
- If direct requests are blocked from your environment, turn on Apify Proxy in the input.

# Actor input Schema

## `sport` (type: `string`):

Sport or league to scrape. ALL covers every supported sport. NFL = American football, NBA = basketball, MLB = baseball, NHL = ice hockey, MMA = mixed martial arts, SOC = soccer (all leagues), TEN = tennis.

## `includeFutures` (type: `boolean`):

Also return league-level futures, outrights and specials (championship winner, season win totals, awards) as one record per market with every selection listed.

## `maxResults` (type: `integer`):

Maximum number of records (events and futures markets) to return.

## `proxyConfiguration` (type: `object`):

Optional. Leave Apify Proxy on if requests from your environment are blocked; switch it off to connect directly.

## Actor input object example

```json
{
  "sport": "NFL",
  "includeFutures": false,
  "maxResults": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset with the scraped odds records.

# 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 = {
    "sport": "NFL",
    "includeFutures": false,
    "maxResults": 50,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/fanduel-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 = {
    "sport": "NFL",
    "includeFutures": False,
    "maxResults": 50,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("bovi/fanduel-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 '{
  "sport": "NFL",
  "includeFutures": false,
  "maxResults": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call bovi/fanduel-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bovi/fanduel-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/WUaAUA2voXSF1dwxq/builds/KzgVD1Fia4hNiLEsk/openapi.json