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Uber Eats Scraper

natanielsantos/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-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:

Uber Eats Scraper API in JavaScript

Uber Eats Scraper API through CLI

Uber Eats Scraper API

Developer

Nataniel Santos

Actor metrics

1 monthly user
1 star
88.9% runs succeeded
Created in Sep 2024
Modified 8 days ago

Categories

Automation

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