Uber Eats Menus & Reviews Scraper
Pricing
Pay per event
Search Uber Eats restaurants and export menu items, prices, ratings, restaurant details, and public customer review samples as structured data.
Pricing
Pay per event
Rating
0.0
(0)
Developer
Stas Persiianenko
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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You can access the Uber Eats Menus & Reviews 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 API & Integrations 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 = {9 "searchQueries": ["McDonald's"],10 "startUrls": [{ "url": "https://www.ubereats.com/store/mcdonalds-fillmore/P21H_Lf3Se2wSmjGHfoFcQ" }],11 "locale": "us",12 "maxRestaurants": 10,13 "maxReviewsPerRestaurant": 20,14}15
16# Run the Actor and wait for it to finish17run = client.actor("automation-lab/ubereats-menu-reviews-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")21for item in client.dataset(run.default_dataset_id).iterate_items():22 print(item)23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Uber Eats Menus & Reviews Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: