Pay $2.00 for 1,000 Stores

Uber Eats Scraper

james.logantech/uber-eats-scraper

Pay $2.00 for 1,000 Stores

An actor designed to scrape Uber Eats APIs to help you quickly retrieve restaurant data including store names, ratings, and detailed menu items (with price and description). Use this tool to gain insights into local eateries, conduct competitive research, or power your own food discovery application

Developer

James

Actor Metrics

3 Monthly users
No reviews yet
No bookmarks yet
>99% runs succeeded
Created in Mar 2025
Modified 9 days ago

Categories

You can access the Uber Eats 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.

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Uber Eats Scraper 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 Uber Eats Scraper 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:

Uber Eats Scraper API in Python

Uber Eats Scraper API in JavaScript

Uber Eats Scraper API through CLI

Uber Eats Scraper API

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