Zalando Scraper
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See alternative ActorsZalando Scraper
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Scrape product data from Zalando, such as images, prices, brands or product attributes. You can extract data from any of the available Zalando domains - zalando.co.uk, zalando.de, zalando.fr, zalando.it and others. Search products by categories or provide URLs of concrete products.
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 "https://www.zalando.co.uk/womens-clothing/",
13 "https://www.zalando.co.uk/mens-clothing/",
14 "https://www.zalando.co.uk/childrens-clothing/"
15 ],
16 "maxItems": 100,
17 "proxyConfiguration": {
18 "useApifyProxy": true
19 }
20};
21
22// Run the Actor and wait for it to finish
23const run = await client.actor("lhotanova/zalando-scraper").call(input);
24
25// Fetch and print Actor results from the run's dataset (if any)
26console.log('Results from dataset');
27console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
28const { items } = await client.dataset(run.defaultDatasetId).listItems();
29items.forEach((item) => {
30 console.dir(item);
31});
32
33// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
Zalando 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-client
Other API clients include:
Actor Metrics
2 monthly users
-
3 stars
>99% runs succeeded
Created in May 2023
Modified 7 months ago