FanDuel Scraper

Extract betting lines, odds, player props, and fantasy contests from FanDuel sportsbook. Built on spider-browser .

Get started Docs

target
fanduel.com: success rate
99.9%: latency
~4ms

Quick start

Extract data in minutes.

fanduel-scraper.ts

import { SpiderBrowser } from "spider-browser";

const spider = new SpiderBrowser({
  apiKey: process.env.SPIDER_API_KEY!,
  stealth: 2,
});

await spider.connect();
const page = spider.page!;
await page.goto("https://sportsbook.fanduel.com/navigation/nfl");

const data = await page.extractFields({
  eventName: "[class*='event-row'] [class*='event-name']",
  spread: "[class*='spread'] [class*='outcome-value']",
  moneyline: "[class*='moneyline'] [class*='outcome-value']",
  total: "[class*='total'] [class*='outcome-value']",
  gameTime: "[class*='event-row'] [class*='event-time']",
  league: "[class*='market-header'] h2",
});

console.log(data);
await spider.close();

ready to run · spider-browser · TypeScript

Fetch API

One endpoint for fanduel.com.

Structured JSON from fanduel.com with a single POST. AI-resolved selectors, cached on the first call.

POST /fetch/fanduel.com/

Match nameSpreadMoneylineTotalOddsGame time

Try it Fetch docs

cURL

curl -X POST https://api.spider.cloud/fetch/fanduel.com/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'

Python

import requests

resp = requests.post(
    "https://api.spider.cloud/fetch/fanduel.com/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={"return_format": "json"},
)
print(resp.json())

Node.js

const resp = await fetch("https://api.spider.cloud/fetch/fanduel.com/", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ return_format: "json" }),
});
const data = await resp.json();
console.log(data);

Extraction