# DoorDash Menu Data for Food Trend Market Research

**Use case:** 

Analyze thousands of restaurant menus across different cuisines and locations to identify emerging food trends, popular ingredients, and pricing benchmarks with

## Input

```json
{
  "storeUrls": [
    "https://www.doordash.com/store/burma-love-san-francisco-200762/",
    "https://www.doordash.com/store/the-halal-guys-san-jose-2098698/",
    "https://www.doordash.com/store/joes-shanghai-new-york-219582/",
    "https://www.doordash.com/store/taste-of-texas-houston-230302/"
  ],
  "maxItems": 100
}
```

## Output

```json
{
  "storeName": {
    "label": "Restaurant",
    "format": "string"
  },
  "address": {
    "label": "Address",
    "format": "string"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "state": {
    "label": "State",
    "format": "string"
  },
  "menuItemCount": {
    "label": "Menu Items",
    "format": "integer"
  },
  "menuSectionCount": {
    "label": "Sections",
    "format": "integer"
  },
  "storeUrl": {
    "label": "URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [DoorDash Restaurant Scraper](https://apify.com/crawlerbros/doordash-restaurant-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/crawlerbros/doordash-restaurant-scraper) to learn more, explore other use cases, and run it yourself.