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Food
Verified

Uber Eats Scraper

Extract restaurant listings, menu data, pricing, and delivery options from Uber Eats. Built on spider-browser .

Get started Docs
target
ubereats.com
success rate
99.9%
latency
~4ms
Quick start

Extract data in minutes.

ubereats-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://www.ubereats.com/category/new-york-ny/pizza");
await page.content(10000);

const data = await page.evaluate(`(() => {
  const restaurants = [];
  document.querySelectorAll("[data-testid='store-card']").forEach(el => {
    const name = el.querySelector("h3")?.textContent?.trim();
    const rating = el.querySelector("[data-testid='store-card-rating']")?.textContent?.trim();
    const meta = el.querySelector("[data-testid='store-card-subtitle']")?.textContent?.trim();
    if (name) restaurants.push({ name, rating, meta });
  });
  return JSON.stringify({ total: restaurants.length, restaurants: restaurants.slice(0, 10) });
})()`);

console.log(JSON.parse(data));
await spider.close();
ready to run · spider-browser · TypeScript
Fetch API

One endpoint for ubereats.com.

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

POST /fetch/ubereats.com/
Restaurant nameRatingDelivery feeDelivery timeMenu itemsPrice
cURL
curl -X POST https://api.spider.cloud/fetch/ubereats.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/ubereats.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/ubereats.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

Fields you can pull.

Restaurant nameRatingDelivery feeDelivery timeMenu itemsPriceCuisineOffers
Listings

Menu & restaurant data

Extract menus, prices, ratings, and delivery info from ubereats.com.

Geo

Location targeting

Access location-specific menus and availability with geo-targeted proxies.

Rendering

Dynamic content

Handle lazy-loaded menus, infinite scroll, and interactive search results.

Related

More Food scrapers.

Start

Start scraping ubereats.com.

Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.