Pricing

from $1.00 / 1,000 results

Doordash Menus, Reviews, Prices & Restaurant 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.

Pricing

from $1.00 / 1,000 results

Rating

0.0

(0)

Developer

AbotAPI

Actor stats

Bookmarked

Total users

Monthly active users

7 days ago

Last modified

Categories

E-commerce

Developer tools

Automation

You can access the Doordash Menus, Reviews, Prices & Restaurant 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

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "mode": "search",
10    "search": ["pizza"],
11    "urls": ["https://www.doordash.com/store/673363/"],
12    "proxy": {
13        "useApifyProxy": True,
14        "apifyProxyGroups": ["RESIDENTIAL"],
15        "apifyProxyCountry": "US",
16    },
17}
18
19# Run the Actor and wait for it to finish
20run = client.actor("abotapi/doordash-scraper").call(run_input=run_input)
21
22# Fetch and print Actor results from the run's dataset (if there are any)
23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
24for item in client.dataset(run["defaultDatasetId"]).iterate_items():
25    print(item)
26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Doordash Menus, Reviews, Prices & Restaurant Scraper API in Python

The Apify API client for Python is the official library that allows you to use Doordash Menus, Reviews, Prices & Restaurant Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Doordash Menus, Reviews, Prices & Restaurant Scraper API in JavaScript

Doordash Menus, Reviews, Prices & Restaurant Scraper API through CLI

Doordash Menus, Reviews, Prices & Restaurant Scraper OpenAPI definition

Doordash Menus, Reviews, Prices & Restaurant Scraper API

Doordash Restaurant Scraper

yasmany.casanova/doordash-restaurant-scraper

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DoorDash Store Details Scraper

nifty.codes/doordash-storedetails-scraper

Extract store information, business details, ratings, and contact info from DoorDash store pages. Powered by DoorDash Scraper.

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DoorDash Store Details Scraper

tri_angle/doordash-store-details-scraper

Using Doordash store URLs, you can collect store details

Tri⟁angle

114

5.0

DoorDash Scraper - Extract Restaurant & Store Data with Menus

alizarin_refrigerator-owner/doordash-scraper

Scrape comprehensive data from DoorDash including restaurants, stores, menus, pricing, and ratings. Perfect for market research, competitive analysis, and food industry intelligence. Analyze Menu Pricing Research Markets Monitor Competition Build Restaurant Databases Franchise Research

The Howlers

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crawlerbros/doordash-restaurant-scraper

Extract restaurant info + complete menus from DoorDash store pages like name, address, cuisine, breadcrumbs, FAQ, and full menu sections with item names, descriptions, and prices.

Crawler Bros

DoorDash Reviews Scraper

maximedupre/doordash-reviews-scraper

Extract public DoorDash review previews from store pages. Export reviewer names, ratings, review text, timestamps, store IDs, and source URLs.

Maxime Dupré

DoorDash | Meta | Menu | Reviews | Business | Search...

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.