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Uber Eats Scraper

Pricing

$30.00/month + usage

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Uber Eats Scraper

Uber Eats Scraper

Developed by

Nataniel Santos

Nataniel Santos

Maintained by Community

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 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 = { "restaurantUrls": ["https://www.ubereats.com/pt/store/craft-bbs-evora/Xg-CjIAeU_67effLx4rN2w"] }
9
10# Run the Actor and wait for it to finish
11run = 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: