Uber Eats Restaurant Menu & Price Extractor

What it returns

32 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

• modesearch, menus, or searchWithMenus
• querySearch keyword that produced this record
• locationResolved delivery location label
• rankPosition in the search result list
• restaurantIdUber Eats store UUID
• restaurantNameRestaurant display name
• restaurantUrlCanonical Uber Eats URL
• heroImageUrlBanner image URL
• ratingAggregate star rating
• ratingCountTotal ratings (may include suffix like '15000+')
• priceRangePrice tier when Uber Eats publishes one
• cuisinesCuisine category tags
• isOpenCurrently open for delivery
• addressStreet address
• cityCity
• postalCodePostal code
• countryCodeISO country code
• latitudeRestaurant latitude
• longitudeRestaurant longitude
• phoneNumberRestaurant phone number when published
• currencyCodeISO currency code for menu prices
• deliveryFeeDelivery fee as displayed
• estimatedDeliveryTimeETA as displayed
• menuNested menu sections with items
• menuSectionCountNumber of menu sections
• menuItemCountTotal menu items
• itemsWithImageCountItems with an image
• itemsWithDescCountItems with a description
• scrapedAtUTC scrape timestamp
• storeTypeUber Eats store type (for example PHYSICAL or GROCERY_STORE)

Input

Example input

Built from the input form's published example values and defaults.

{
  "mode": "search",
  "searchQueries": [
    "pizza"
  ],
  "location": "New York, NY",
  "country": "us",
  "maxRestaurants": 3,
  "restaurantUrls": [
    "https://www.ubereats.com/store/cvs-129-fulton-streets/isOmPe5EU261CcRN3X7RMw"
  ],
  "maxMenuItemsPerRestaurant": 10
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "searchQueries": [
        "pizza"
    ],
    "location": "New York, NY",
    "country": "us",
    "maxRestaurants": 3,
    "restaurantUrls": [
        "https://www.ubereats.com/store/cvs-129-fulton-streets/isOmPe5EU261CcRN3X7RMw"
    ],
    "maxMenuItemsPerRestaurant": 10
}

run = client.actor("dataspryva/uber-eats-restaurant-menu-and-price-extractor").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "searchQueries": [
        "pizza"
    ],
    "location": "New York, NY",
    "country": "us",
    "maxRestaurants": 3,
    "restaurantUrls": [
        "https://www.ubereats.com/store/cvs-129-fulton-streets/isOmPe5EU261CcRN3X7RMw"
    ],
    "maxMenuItemsPerRestaurant": 10
};

const run = await client.actor("dataspryva/uber-eats-restaurant-menu-and-price-extractor").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/dataspryva~uber-eats-restaurant-menu-and-price-extractor/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","searchQueries":["pizza"],"location":"New York, NY","country":"us","maxRestaurants":3,"restaurantUrls":["https://www.ubereats.com/store/cvs-129-fulton-streets/isOmPe5EU261CcRN3X7RMw"],"maxMenuItemsPerRestaurant":10}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=dataspryva/uber-eats-restaurant-menu-and-price-extractor",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

• Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
• The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
• Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
• Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among Uber Eats routes

It ranks 1 of 1 catalogue Actors for Uber Eats on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

What people use it for

• find restaurants
• inspect menus
• compare item prices

Similar Actors

Questions people ask

Sources

• Uber Eats Restaurant Menu & Price Extractor on Apify Store
• Published build with input and output schema (JSON)
• Uber Eats Marketplace APIs documentation