You can access the UberEats Reviews Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=tri_angle/ubereats-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with UberEats Reviews Scraper

Get a ready-to-use configuration for your MCP client with the UberEats Reviews Scraper Actor preconfigured at mcp.apify.com?tools=tri_angle/ubereats-reviews-scraper .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Ubereats Store Info fetcher

store_scaper/ubereats-store-info-fetcher

Fetch the Store information of any Ubereats restaurant.

Store Fetcher

DoorDash Reviews Scraper

tri_angle/doordash-reviews-scraper

Doordash Reviews allows you to scrape reviews by simply adding the Doordash URLs

Tri⟁angle

5.0

UberEats Menu Scraper – Full Product, Price & Modifier

crscrapers/ubereats-menu-scraper---v2

Extract full UberEats menus with one URL. Get restaurant name, images, categories, products, prices, descriptions, modifiers, and customization options. Perfect for restaurant owners tracking competitors and optimizing their own pricing and menus.

CMQ

Ubereats Stores Search By Location And Keyword

datacach/ubereats-stores-search-by-location-and-keyword

Experience instant restaurant insights with Uber Eats Discovery by Location and Keyword Scraper. Enter a search and location to get real-time data—no URLs needed. Perfect for quick market research and competitor analysis, all in one efficient, easy-to-use tool.

DataCach

Restaurant Review Aggregator

tri_angle/restaurant-review-aggregator

Add restaurant names and get reviews from Yelp, Google Maps, Doordash, UberEats, Tripadvisor, and Facebook. Extract review text, place address, rating, date, reviewer's name. Export reviews in JSON, CSV, HTML, use API, schedule and monitor runs or integrate reviews data with other tools.

Tri⟁angle

378

4.3

Ubereats Listing Brands By Country

datacach/ubereats-listing-brands-by-country

Automatically fetch the URLs of every brand (restaurant, market, etc) listed on Uber Eats for the countries you specify. Perfect for market research, competitor analysis, or lead generation. Super fast response and reliable data.

DataCach

DoorDash Store Details Scraper

tri_angle/doordash-store-details-scraper

Using Doordash store URLs, you can collect store details

Tri⟁angle

5.0

DoorDash | Meta |Menu| Reviews| Business| Complete Intelligence

memo23/doordash-reviews-cheerio

Extract complete DoorDash restaurant intelligence: full menus, pricing, reviews, ratings, and operational data. Transform restaurant pages into structured JSON perfect for market research, competitive analysis, and business intelligence. Get comprehensive data beyond basic listings.

Muhamed Didovic

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

104

Doordash Store Scraper

axlymxp/doordash-store-scraper

DoorDash Store Scraper is an Apify Actor that extracts store information from DoorDash. It allows you to search for stores by location with customizable radius, get detailed store information, and handles authentication automatically. Simply provide a location query and search radius to get started.