
Uber Eats Scraper
Pay $2.00 for 1,000 Stores

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
Actor Metrics
3 Monthly users
No reviews yet
No bookmarks yet
>99% runs succeeded
Created in Mar 2025
Modified 9 days ago
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.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "address": "45 Victor Street, Chatswood, NSW 2067",
10 "query": "German",
11 "maxStores": 80,
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("james.logantech/uber-eats-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Uber Eats Scraper API in Python
The Apify API client for Python is the official library that allows you to use Uber Eats Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include: