Zalando Scraper
1 day trial then $15.00/month - No credit card required now
Zalando Scraper
1 day trial then $15.00/month - No credit card required now
Scrape data from the European fashion retailer Zalando. Search for products based on a keyword or a category and extract descriptions, available sizes, prices, and photos. Export accumulated data into formats such as HTML, JSON, or Excel.
You can access the Zalando Scraper programmatically from your own JavaScript applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11 "startUrls": [
12 {
13 "url": "https://en.zalando.de/women/apple/"
14 }
15 ],
16 "proxy": {
17 "useApifyProxy": true,
18 "apifyProxyCountry": "DE",
19 "apifyProxyGroups": [
20 "RESIDENTIAL"
21 ]
22 }
23};
24
25// Run the Actor and wait for it to finish
26const run = await client.actor("mscraper/zalando-scraper").call(input);
27
28// Fetch and print Actor results from the run's dataset (if any)
29console.log('Results from dataset');
30console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
31const { items } = await client.dataset(run.defaultDatasetId).listItems();
32items.forEach((item) => {
33 console.dir(item);
34});
35
36// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsZalando Scraper API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Zalando Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
npm install apify-clientOther API clients include:
mscraper- 11 monthly users
- 3 stars
- 81.7% runs succeeded
- Created in May 2023
- Modified about 1 month ago
