# DoorDash Restaurant, Business & Menu Scraper — $0.6/1K (`ahmed_jasarevic/doordash-scraper`) Actor

Extract restaurant details and full menus from DoorDash — prices, ratings, delivery fees, store hours. Fast, no login required, cheapest per 1,000 results.

- **URL**: https://apify.com/ahmed\_jasarevic/doordash-scraper.md
- **Developed by:** [Ahmed Jasarevic](https://apify.com/ahmed_jasarevic) (community)
- **Categories:** Developer tools, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.60 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Doordash Restaurant Scraper

This Apify actor scrapes restaurant data from Doordash including:

- Restaurant name, cuisine, rating, review count
- Delivery time, delivery fee
- Menu categories, menu items
- Item names, prices, descriptions, calories
- Promotional badges, store hours, address, coordinates

### Input Parameters

- `searchQuery`: Location or search term for restaurants (default: "New York, NY")
- `maxRestaurants`: Maximum number of restaurants to scrape (default: 10)
- `maxItemsPerRestaurant`: Maximum menu items to scrape per restaurant (default: 20)

### Usage

The actor uses the Apify Proxy to bypass anti-bot protections and employs a Playwright crawler for reliable scraping of JavaScript-heavy websites like Doordash.

### Output

The actor outputs restaurant data in JSON format to the Apify dataset.

# Actor input Schema

## `searchQuery` (type: `string`):

Search term or address (e.g. 'pizza', 'New York, NY')

## `maxRestaurants` (type: `integer`):

Maximum number of restaurants to scrape

## `scrapeMenu` (type: `boolean`):

Fetch full menu categories and items for each restaurant

## `maxItemsPerRestaurant` (type: `integer`):

Max menu items per restaurant (only if Scrape Menu is enabled)

## `scrapeReviews` (type: `boolean`):

Fetch reviews for each restaurant (if available)

## `maxReviewsPerRestaurant` (type: `integer`):

Max reviews per restaurant (only if Scrape Reviews is enabled)

## `proxyConfiguration` (type: `object`):

Default Apify Proxy = datacenter IPs. If blocked, switch to RESIDENTIAL.

## Actor input object example

```json
{
  "searchQuery": "New York, NY",
  "maxRestaurants": 10,
  "scrapeMenu": true,
  "maxItemsPerRestaurant": 20,
  "scrapeReviews": false,
  "maxReviewsPerRestaurant": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `restaurants` (type: `string`):

All scraped restaurants with details, menus and nested reviews.

## `reviews` (type: `string`):

Individual customer reviews, one row per review.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("ahmed_jasarevic/doordash-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "proxyConfiguration": { "useApifyProxy": True } }

# Run the Actor and wait for it to finish
run = client.actor("ahmed_jasarevic/doordash-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call ahmed_jasarevic/doordash-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ahmed_jasarevic/doordash-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/NGjy2wgDueHOecjWH/builds/btmav23X4FwHEFxEL/openapi.json