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from $0.90 / 1,000 stores

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Uber Eats Scraper - Stores, Menus, Reviews & Prices

Try for free

Scrape Uber Eats stores by address, city, search term or link: name, phone, address, hours, rating, delivery time and fee, the full menu with prices, reviews and the EU trader block. Any country, no login. $0.90 per 1,000 listing rows, $1.80 per 1,000 full stores.

Pricing

from $0.90 / 1,000 stores

Rating

0.0

(0)

Developer

Top Api

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Uber Eats API Scraper - Restaurants, Menus & Reviews API

Below, you can find a list of relevant HTTP API endpoints for calling the Uber Eats Scraper - Stores, Menus, Reviews & Prices Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under API & Integrations in Apify Console. For details, see the API reference.

Run Actor

POST
https://api.apify.com/v2/actors/topapi~uber-eats-scraper/runs?token=<YOUR_API_TOKEN>

Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation.

Run Actor synchronously and get dataset items

POST
https://api.apify.com/v2/actors/topapi~uber-eats-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>

Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation.

Get Actor

GET
https://api.apify.com/v2/actors/topapi~uber-eats-scraper?token=<YOUR_API_TOKEN>

For more information, please refer to our Get Actor API documentation.

Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the Uber Eats Scraper - Stores, Menus, Reviews & Prices API programmatically via the Apify API.

You can choose from:

Uber Eats Scraper - Stores, Menus, Reviews & Prices API in Python

Uber Eats Scraper - Stores, Menus, Reviews & Prices API in JavaScript

Uber Eats Scraper - Stores, Menus, Reviews & Prices API through CLI

Uber Eats Scraper - Stores, Menus, Reviews & Prices OpenAPI definition

You can start Uber Eats Scraper - Stores, Menus, Reviews & Prices with the Apify API by sending an HTTP POST request to the Run Actorendpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The Uber Eats Scraper - Stores, Menus, Reviews & Prices is identified within the API by its ID, which is the creator’s username and the name of the Actor.

When the Uber Eats Scraper - Stores, Menus, Reviews & Prices run finishes you can list the data from its default dataset(storage) via the API or you can preview the data directly on Apify Console.

Uber Eats Scraper — Menus, Reviews & Leads

memo23/uber-eats-scraper

Uber Eats scraper for restaurants and menus. Search by city or paste store URLs. One row per store with priced dishes, ratings, reviews, phone, hours, and optional emails plus a lead score. Filter by locale or skip stores you already have. Delivery or pickup. JSON, CSV or Excel.

Muhamed Didovic

350

4.9

(3)

Uber Eats Scraper

natanielsantos/uber-eats-scraper

This no-code tool allows you to scrape data from Uber Eats restaurants, like name, categories, location, menu items, and more.

Nataniel Santos

239

Uber Eats Restaurant Scraper

jdtpnjtp/uber-eats-restaurant-scraper

Scrape Uber Eats restaurants and menus by city, search, or store URL. Extract restaurant name, rating, cuisine, address, delivery fee, menu items, prices, and reviews as clean JSON. Pay per result.

Data Forge

Uber Eats Phone Number Scraper – Cheapest 📞🍔

contactminerlabs/uber-eats-phone-number-scraper---cheapest

🔍 Scrape Uber Eats Phone Numbers Instantly Enter a keyword & extract phone numbers from Uber Eats restaurants, vendors, and listings, including restaurant, phone number & listing URL 📞 Perfect for restaurant partnerships, food delivery outreach, lead generation & enriching your CRM pipelines 🚀

ContactMinerLabs

Uber Eats Menu Scraper

sian.agency/uber-eats-menu-scraper

Uber Eats menu scraper. Paste one or more Uber Eats restaurant URLs and get the full menu as structured rows — restaurant name, shop ID, menu sections, dish names, descriptions and prices. Bulk URL input, clean JSON and CSV export, no account or API key needed.

SIÁN OÜ

222

5.0

(2)

Coupang Eats Scraper

amit123/coupang-eats-scraper

Extract restaurants, menus, prices, ratings, and delivery info from **Coupang Eats (쿠팡이츠)** — South Korea's #2 food delivery platform and one half of a fast-tightening duopoly that now controls ~88% of the Korean delivery market.

Amit

Uber Eats Scraper | With Menu & Numbers | $3 / 1k

fatihtahta/uber-eats-menu-scraper

Scrape restaurants and groceries from Uber Eats including phone numbers, menu, location, cuisines, and more. export-ready for price and menu tracking, market research, competitor analysis, and lead generation. $3 per 1000 listings.

Fatih Tahta

Uber Eats Store Search Scraper 🍽️

easyapi/uber-eats-store-search-scraper

Extract detailed restaurant data from Uber Eats search results. Get comprehensive information about stores including ratings, status, location, and images. Perfect for market research, competitor analysis, and food delivery insights. 🍽️🔍

EasyApi

Zillow Scraper - Listings, Zestimate, Sold & Price History

topapi/zillow-scraper

Scrape Zillow listings by city, ZIP, map area or search URL (for sale, for rent, sold) for $0.85 per 1,000: price, Zestimate, beds, baths, sqft, photos. Optional property details: price and tax history, schools, comps, full fact sheet. Goes past the 820-result cap. No login.

Top Api

DoorDash Scraper - Menus, Prices, Reviews & Ratings

abotapi/doordash-scraper

Extract structured doordash.com data at scale. Search by keyword or paste store URLs to get store details, ratings, price tier, location, full menus, contact info, opening hours, review insights, star-rating breakdowns, and Google rating data.