You can access the DoorDash 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/doordash-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with DoorDash Reviews Scraper

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

DoorDash Store Details Scraper

tri_angle/doordash-store-details-scraper

Using Doordash store URLs, you can collect store details

Tri⟁angle

5.0

Doordash Email Scraper

scraper-mind/doordash-email-scraper

Doordash Email Scraper – Fast & accurate email extraction from Doordash listings! 🔍 Search by keywords, location & custom domains to find Doordash emails. 📊 Download results in JSON, CSV, Excel. Perfect for lead gen, outreach & market research!

Scraper Mind

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.

axly

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

UberEats Reviews Scraper

tri_angle/ubereats-reviews-scraper

Ubereats Reviews allows you to scrape reviews by simply adding the UberEats URLs

Tri⟁angle

4.1

Doordash Google Placeid Scraper

axlymxp/doordash-google-placeid-scraper

This tool scrapes Google Place IDs from DoorDash, using location searches to gather data on names, addresses, coordinates, and country codes.

axly

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

377

4.3

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

104

Uber Eats Scraper

james.logantech/uber-eats-scraper

An actor designed to scrape Uber Eats APIs to help you quickly retrieve restaurant data including store names, ratings, and detailed menu items (with price and description). Use this tool to gain insights into local eateries, conduct competitive research, or power your own food discovery application