Uber Eats Scraper
Extract restaurant listings, menu data, pricing, and delivery options from Uber Eats. Built on spider-browser .
- target
- ubereats.com
- success rate
- 99.9%
- latency
- ~4ms
/fetch/ubereats.com/ curl -X POST https://api.spider.cloud/fetch/ubereats.com/ \ -H "Authorization: Bearer $SPIDER_API_KEY" \ -H "Content-Type: application/json" \ -d '{"return_format": "json"}'
{
"url": "https://ubereats.com/",
"status": 200,
"data": {
"restaurant_name": "string",
"rating": "string",
"delivery_fee": "string",
"delivery_time": "string",
"menu_items": "string",
"price": "string",
"cuisine": "string",
"offers": "string"
}
} # Uber Eats Scraper
**Restaurant name**: string
**Rating**: string
**Delivery fee**: string
**Delivery time**: string
**Menu items**: string
**Price**: string
**Cuisine**: string
**Offers**: string Extract data in minutes.
Structured JSON from ubereats.com with a single POST. AI-resolved selectors, cached on the first call.
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(); 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"}' 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()) 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); Fields you can pull.
Menu & restaurant data
Extract menus, prices, ratings, and delivery info from ubereats.com.
Location targeting
Access location-specific menus and availability with geo-targeted proxies.
Dynamic content
Handle lazy-loaded menus, infinite scroll, and interactive search results.
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Start scraping ubereats.com.
Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.