Ubereats Stores Search By Location And Keyword

Ubereats Stores Search By Location And Keyword

by datacach

Get real-time Uber Eats restaurant data with just a location and keyword. Perfect for market research, competitor analysis, and lead generation without manual searching.

257 runs
20 users
Try This Actor

Opens on Apify.com

About Ubereats Stores Search By Location And Keyword

Need to scope out the Uber Eats scene in a new neighborhood or city? This scraper is my go-to for that. Instead of hunting for specific restaurant URLs, you just feed it a location and a keyword—like "sushi" or "vegan"—and it pulls back a live list of every matching restaurant, its menu, ratings, and delivery details. It’s incredibly straightforward. I use it mostly for two things: quick competitive analysis and spotting market gaps. Want to see how many pizza places deliver to a specific zip code and what they charge? This gets you that data in minutes, without manually searching block by block. It’s also perfect for aggregating potential partnership leads or just keeping tabs on pricing trends in a target area. The beauty is in the setup, or lack thereof. You don't need to be a scraping expert. Plug in your search terms, run it, and get structured JSON or CSV output that's ready for a spreadsheet or your own app. It saves hours of manual browsing and gives you a real-time snapshot of what’s actually available to customers right now.

What does this actor do?

Ubereats Stores Search By Location And Keyword is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

UberEats Stores Search by Location and Keyword

Overview

This Apify actor scrapes Uber Eats for restaurant listings based on a search keyword and one or more geographic locations. It automates the search process, returning structured restaurant data in JSON format. It's designed for market research, competitive analysis, or data integration tasks.

Key Features

  • Location & Keyword Search: Input a list of addresses and a search term (e.g., "pizza").
  • Structured Data Extraction: Captures details like store name, address, delivery time, rating, images, and promotions.
  • Result Limiting: Set a maximum number of results per location.
  • Efficient Operation: Uses asynchronous requests and handles retries, cookies, and pagination to mimic real user behavior.

How to Use

You can run the actor via the Apify Console or programmatically.

  1. In Apify Console: Click "Run", then provide the input configuration in JSON format.
  2. From Code: Use the Apify API or SDK (Python/Node.js) to trigger the actor with the required input.

Input/Output

Input Schema (JSON):

{
  "locations": ["95th Ave, Ozone Park, NY 11416, USA"],
  "search_keyword": "pizza",
  "max_search_results": 20
}

Output Example (JSON):
The actor returns an array of store objects. A truncated example is below.

[
  {
    "store_uuid": "35e7a890-3f2a-5948-815e-7a2a3cb77d1f",
    "name": "Pizza Near Me",
    "url": "https://www.ubereats.com/store/pizza-near-me/NeeokD8qWUiBXnoqPLd9Hw",
    "estimated_time_to_delivery": "20 min",
    "rating": 4.53,
    "rating_count": "14",
    "city": "Newark",
    "country_code": "US",
    "extraction_datetime": "2025-07-18T05:44:25Z",
    "input": {
      "search_location": "85 Marsh St, Newark, NJ 07114, USA"
    }
  }
]

Technical Notes & Support

The scraper is built for reliability, handling common anti-bot measures. For assistance, use Apify's provided contact channels.

Credits: Developed and maintained by the DataCach team.

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

Try Ubereats Stores Search By Location And Keyword now on Apify. Free tier available with no credit card required.

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Actor Information

Developer
datacach
Pricing
Paid
Total Runs
257
Active Users
20
Apify Platform

Apify provides a cloud platform for web scraping, data extraction, and automation. Build and run web scrapers in the cloud.

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