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$9.99/month + usage

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Ubereats Stores Discovery By Brand URL

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DataCach

Easily extract all Uber Eats store URLs for any brand (McDonald's, Starbucks, Subway, etc.) at scale. This tool converts a list of brand profile links into a JSON feed with direct URLs for each restaurant. Ideal for local analysis, research, and franchise mapping.

0.0 (0)

Pricing

$9.99/month + usage

Last modified

9 days ago

Automation

Lead generation

E-commerce

You can access the Ubereats Stores Discovery By Brand URL 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

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  "components": {
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          "brand_urls",
          "max_results"
        ],
        "properties": {
          "brand_urls": {
            "title": "🔑 Brand URL(s)",
            "type": "array",
            "description": "Enter the brand urls to search for ubereats stores (e.g., https://www.ubereats.com/brand/mcdonalds).",
            "items": {
              "type": "string"
            }
          },
          "max_results": {
            "title": "🔢 Max Search Results",
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            "maximum": 10000,
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            "default": 10
          }
        }
      },
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Ubereats Stores Discovery By Brand URL OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Ubereats Stores Discovery By Brand URL from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Ubereats Stores Discovery By Brand URL API in Python

Ubereats Stores Discovery By Brand URL API in JavaScript

Ubereats Stores Discovery By Brand URL API through CLI

Ubereats Stores Discovery By Brand URL API

Ubereats Listing Brands By Country

datacach/ubereats-listing-brands-by-country

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datacach/ubereats-stores-search-by-location-and-keyword

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Uber Eats Email Scraper

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Scraper Mind

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store_scaper/ubereats-store-info-fetcher

Fetch the Store information of any Ubereats restaurant.

Store Fetcher

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

Starbucks Store Locator

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Runtime

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🍴Uber Eats Scraper [PPR]

borderline/uber-eats-scraper-ppr

Pay per result - Fast and cost-effective Uber Eats Scraper requiring just a search query and location. Instantly retrieve comprehensive restaurant data, including names, phone, ratings, locations, and menus. Seamlessly integrates, offering a highly efficient data solution.