![Uber Eats Menu Scraper avatar](https://images.apifyusercontent.com/oRQnCvSSAL2FfIYQ4qvGP8ZJaUmFOPhuztZa4Yc8iZg/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9jeWtiRjB0Q2ZBU1BLY3p2MC9YelBXMk5QaFdGRmJNanBSby1TY3JlZW5fU2hvdF8yMDIyLTExLTI1X2F0XzYuMTkuMjZfUE0ucG5n.webp)
Uber Eats Menu Scraper
DeprecatedView all Actors![Uber Eats Menu Scraper](https://images.apifyusercontent.com/oRQnCvSSAL2FfIYQ4qvGP8ZJaUmFOPhuztZa4Yc8iZg/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9jeWtiRjB0Q2ZBU1BLY3p2MC9YelBXMk5QaFdGRmJNanBSby1TY3JlZW5fU2hvdF8yMDIyLTExLTI1X2F0XzYuMTkuMjZfUE0ucG5n.webp)
This Actor is deprecated
This Actor is unavailable because the developer has decided to deprecate it. Would you like to try a similar Actor instead?
See alternative Actors![Uber Eats Menu Scraper](https://images.apifyusercontent.com/oRQnCvSSAL2FfIYQ4qvGP8ZJaUmFOPhuztZa4Yc8iZg/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9jeWtiRjB0Q2ZBU1BLY3p2MC9YelBXMk5QaFdGRmJNanBSby1TY3JlZW5fU2hvdF8yMDIyLTExLTI1X2F0XzYuMTkuMjZfUE0ucG5n.webp)
Uber Eats Menu Scraper
advisable_rain/uber-eats-menu-scraper
Extracts menu items from any Uber Eats store.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = { "url": "https://www.ubereats.com/nz/store/pizza-hut-newtown/8F10LUogSqWYO1ajzth5sQ" }
8
9# Run the Actor and wait for it to finish
10run = client.actor("advisable_rain/uber-eats-menu-scraper").call(run_input=run_input)
11
12# Fetch and print Actor results from the run's dataset (if there are any)
13print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
14for item in client.dataset(run["defaultDatasetId"]).iterate_items():
15 print(item)
16
17# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
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