
Uber Eats Scraper
Pricing
$30.00/month + usage

Uber Eats Scraper
This no-code tool allows you to scrape data from Uber Eats restaurants, like name, categories, location, menu items, and more.
0.0 (0)
Pricing
$30.00/month + usage
4
Total users
67
Monthly users
12
Runs succeeded
79%
Last modified
8 months 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 ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "restaurantUrls": ["https://www.ubereats.com/pt/store/craft-bbs-evora/Xg-CjIAeU_67effLx4rN2w"] }9
10# Run the Actor and wait for it to finish11run = client.actor("natanielsantos/uber-eats-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 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: