Uber Eats Scraper

Uber Eats Scraper by Omkar Cloud gets you 🎯 accurate, 🔍 detailed Uber Eats restaurants and stores — by keyword around any delivery address, or straight from a store link.

Uber Eats shows different stores, delivery times and fees for every address, and it guards its data with reCAPTCHA bot protection — so getting it out in bulk is hard.

Uber Eats Scraper gets it out, so you get the data, and can successfully complete your project.

$1 per 1,000 stores. And with Apify's free plan you get $5 of credit every month, so your first 5,000 stores each month are free.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — 4.7 based on 30 reviews on Trustpilot.

👉 Try Uber Eats Scraper free — your first 5,000 stores are Free.

What can I get

• 🔍 Search any address — sushi, pizza, groceries or a store name, 80 stores per page, in 35 countries
• ⭐ Ratings & reviews count — plus delivery time, delivery fee, distance and running offers
• 🎛️ The site's own filters — sort by rating or arrival, minimum rating, price range, fee, under 30 min, offers only, pickup
• 🍣 Matched dishes — the items your keyword found in each store, with price and photo
• 🧾 Full details — phone, full address, coordinates, opening hours, cuisines, price range, chain and health inspection link

Why Uber Eats Scraper

Most other Uber Eats scrapers fail you in one of four ways:

• 🗄️ Inaccurate, cached, stale data
• 🧩 Low-detail data — a name and a rating, never the full picture
• 💸 Pay more to get the same data — up to $5 per 1,000 stores elsewhere
• 🪦 Works today, breaks next month — nobody maintains it

Uber Eats Scraper is scraped live on every run, priced honestly, and actively maintained.

Example: A Full Uber Eats Store

{
  "search_query": "sushi",
  "search_location": "Times Square, New York",
  "id": "39592256-2666-5822-b7fa-eb0fd71679ab",
  "name": "Blue Ribbon Sushi Bar (Rockefeller Plaza)",
  "link": "https://www.ubereats.com/store/blue-ribbon-sushi-bar-rockefeller-plazas/OVkiViZmWCK3-usP1xZ5qw",
  "rating": 4.8,
  "review_count": 89,
  "phone": "+12129370204",
  "cuisines": [
    "Japanese",
    "Sushi",
    "Asian"
  ],
  "delivery_min_minutes": 10,
  "delivery_max_minutes": 23,
  "distance": 0.3,
  "distance_unit": "mi",
  "address": "30 Rockefeller Plaza, Concourse Level, New York, NY 10112",
  "city": "New York",
  "region": "NY",
  "postal_code": "10112",
  "latitude": 40.7593694,
  "longitude": -73.9794441,
  "is_open": true,
  "status": "Opens 11:00 AM",
  "chain_name": "Blue Ribbon Restaurants (Restaurant Group Parent)",
  "merchant_type": "restaurant",
  "currency": "USD"
}

Trimmed for readability — empty fields left out. Every row is flat — each value is its own column, so CSV and Excel exports need no clean-up.

Get Started with 5,000 Free Stores

1. Hit Try for Free Button — the input is pre-filled with "sushi" and "pizza" around Times Square, New York.
2. Enjoy your data 😎.

Input Examples

Search around an address — the 200 best-rated sushi places near Times Square:

{
    "locations": ["Times Square, New York"],
    "searchQueries": ["sushi"],
    "sortBy": "rating",
    "maxResults": 200
}

Every store that delivers to an address — fast and cheap only, in several cities:

{
    "locations": ["Beverly Hills, CA", "Union Square, San Francisco", "41.8781,-87.6298"],
    "under30Min": true,
    "priceRange": ["1", "2"],
    "maxResults": 500
}

Full details — phone, address, hours and cuisines on every row:

{
    "locations": ["Times Square, New York"],
    "searchQueries": ["pizza"],
    "includeDetails": true,
    "maxResults": 50
}

Store links — one fully-detailed row each:

{
    "storeUrls": ["https://www.ubereats.com/store/five-guys-253-w-42nd-st-ny-1499/ZWhjmPWFQ5uuTNq-BYoKYA"]
}

Each row carries search_query and search_location (or input_url), so you always know which input it came from.

Pricing

High value, Low price.

What	Price	What you get
Standard stores	$1 per 1,000	id, name, link, photo, rating, review count, delivery time, delivery fee, distance, offers, badges, coordinates + the dishes your keyword matched
Detailed stores	$3 per 1,000	Everything above + phone, full address, opening hours, cuisines, price range, tags, logo, chain, merchant type, health inspection link and the store's menus

A detailed store is the standard $0.001 plus a $0.002 details add-on. No start fee — you pay only for the rows you get. One price on every Apify plan.

Cost examples

Run	Cost
100 stores for one keyword	$0.10
1,000 stores across 10 addresses	$1.00
1,000 stores with full details	$3.00

Control your spend with Max Stores per Keyword / Address: 1,000 stores ≈ $1.

💡 Apify's free plan includes $5 of credit every month — 5,000 free stores, every month.

👉 Scrape your first 5,000 stores free

Run It from Code

Grab your API token from Integrations Settings here and replace <YOUR_API_TOKEN> below.

Python (pip install apify-client)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/uber-eats-scraper").call(run_input={
    "locations": ["Times Square, New York"],
    "searchQueries": ["sushi"],
    "maxResults": 100,
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["name"], row["rating"], row["delivery_min_minutes"], row["link"])

Node.js (npm install apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/uber-eats-scraper').call({
    locations: ['Times Square, New York'],
    searchQueries: ['pizza'],
    maxResults: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

FAQs

How much does it cost to scrape Uber Eats?

$1 per 1,000 stores — $0.001 per store. Turn on Include Full Store Details and each store costs $0.003 ($3 per 1,000). Store links are always scraped in full at that rate. There is no start fee and no monthly rental, and the price is the same on every Apify plan.

Is there a free tier?

Yes. Apify's free plan gives you $5 of credit every month, which is 5,000 standard stores — every month, no card needed.

Why do I need a delivery address?

Uber Eats builds its results around an address: which stores deliver there, how long it takes and what it costs. Add any address, place name or latitude,longitude — street-level addresses give the most precise delivery times.

How do I keep my cost under control?

Set Max Stores per Keyword / Address. It caps the rows for each keyword at each address, so 2 keywords × 1 address with a cap of 500 costs at most $1. You can also set a maximum cost per run in Apify — the Actor stops cleanly when it is reached.

Am I charged twice for the same store?

No. A store found by several keywords or addresses is scraped and billed once per run.

What if full details can't be fetched for a store?

You keep the standard row for it and pay only the standard $0.001 — the details add-on is charged only when the details actually arrive.

Which countries work?

Every country Uber Eats operates in — the US, Canada, the UK, France, Germany, Japan, Australia, Mexico and 27 more. Prices come in the local currency, named on every row.

Why is the delivery fee sometimes empty?

Uber Eats hides the fee on many store cards for visitors who are not signed in (it often shows a new-user offer instead). When it shows one, you get it.

Can I export to CSV or Excel?

Yes. Every row is flat — one value per column — so JSON, CSV, Excel and HTML exports work without any clean-up.

Is the data live?

Yes. Every run reads Uber Eats at that moment — ratings, delivery times, fees, offers and open status are current as of the run.

💬 Have Questions? We Have Answers.

You are important to us — just message us and we will solve your problem ✅ within 1 working day. 🩷 Pinky Promise 🤙!