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Wolt Restaurants Scraper 🥡

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Pay $1.50 for 1,000 Restaurants

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Wolt Restaurants Scraper 🥡

Wolt Restaurants Scraper 🥡

nx-node/wolt-restaurants-scraper
Try for free

Pay $1.50 for 1,000 Restaurants

Extract data from restaurants on the Wolt food delivery platform. Input a city and country, and effortlessly obtain information such as restaurant names, addresses, zip codes, URLs, phone numbers, coordinates, ratings and more. Download scraped data in various formats including HTML, JSON and Excel.

You can access the Wolt Restaurants 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 = {
9    "city": "Darmstadt",
10    "country": "Germany",
11    "proxyConfig": {
12        "useApifyProxy": True,
13        "apifyProxyCountry": "US",
14    },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("nx-node/wolt-restaurants-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Wolt Restaurants Scraper 🥡 API in Python

The Apify API client for Python is the official library that allows you to use Wolt Restaurants Scraper 🥡 API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 14 monthly users
  • 3 stars
  • 97.8% runs succeeded
  • 12 days response time
  • Created in Mar 2024
  • Modified 19 days ago