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Uber Eats Scraper

Pricing

$2.00 / 1,000 stores

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Uber Eats Scraper

Uber Eats Scraper

Developed by

James

James

Maintained by Community

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

0.0 (0)

Pricing

$2.00 / 1,000 stores

1

Total users

18

Monthly users

6

Runs succeeded

>99%

Last modified

3 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 = {
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: