Uber Eats Scraper
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Uber Eats Scraper
3 days trial then $30.00/month - No credit card required now
This no-code tool allows you to scrape data from Uber Eats restaurants, like name, categories, location, menu items, and more.
You can access the Uber Eats Scraper programmatically from your own Python 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-startUber 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-clientOther API clients include:
Nataniel SantosActor Metrics
3 monthly users
-
2 stars
97% runs succeeded
Created in Sep 2024
Modified 3 months ago
