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Wolt Restaurants Scraper 🥡

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Wolt Restaurants Scraper 🥡

Wolt Restaurants Scraper 🥡

lucen_data/wolt-restaurants-scraper
Try for free

1 day trial then $25.00/month - No credit card required now

Extract data from restaurants on the Wolt food delivery platform using this simple to use Wolt API. Simply choose a city to obtain information such as restaurant names, addresses, zip codes, phone numbers, ratings and more. Download scraped data in various formats including JSON, CSV and Excel.

You can access the Wolt Restaurants Scraper 🥡 programmatically from your own JavaScript 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.

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {};
11
12// Run the Actor and wait for it to finish
13const run = await client.actor("lucen_data/wolt-restaurants-scraper").call(input);
14
15// Fetch and print Actor results from the run's dataset (if any)
16console.log('Results from dataset');
17console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
18const { items } = await client.dataset(run.defaultDatasetId).listItems();
19items.forEach((item) => {
20    console.dir(item);
21});
22
23// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Wolt Restaurants Scraper 🥡 API in JavaScript

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

Install the apify-client

npm install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 6 monthly users

  • 3 stars

  • >99% runs succeeded

  • 1.6 days response time

  • Created in Mar 2024

  • Modified a month ago