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Katy Perry Collections Scraper
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Katy Perry Collections Scraper

Katy Perry Collections Scraper

mshopik/katy-perry-collections-scraper
Try for free

No credit card required

Scrape Katy Perry Collections and extract data on footwear from katyperrycollections.com. Our Katy Perry Collections API lets you crawl product information and pricing. The saved data can be downloaded as HTML, JSON, CSV, Excel, and XML.

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

Node.js

Python

curl

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4const client = new ApifyClient({
5    token: '<YOUR_API_TOKEN>',
6});
7
8// Prepare Actor input
9const input = {
10    "maxRequestsPerCrawl": 100,
11    "proxyConfig": {
12        "useApifyProxy": true
13    },
14    "extendOutputFunction": async ({ data, item, product, images, fns, name, request, variants, context, customData, input, Apify }) => {
15      return item;
16    },
17    "extendScraperFunction": async ({ fns, customData, Apify, label }) => {
18     
19    },
20    "customData": {},
21    "maxConcurrency": 20,
22    "maxRequestRetries": 3
23};
24
25(async () => {
26    // Run the Actor and wait for it to finish
27    const run = await client.actor("mshopik/katy-perry-collections-scraper").call(input);
28
29    // Fetch and print Actor results from the run's dataset (if any)
30    console.log('Results from dataset');
31    console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
32    const { items } = await client.dataset(run.defaultDatasetId).listItems();
33    items.forEach((item) => {
34        console.dir(item);
35    });
36})();
37
38// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
Developer
Maintained by Community
Actor metrics
  • 1 monthly users
  • 96.6% runs succeeded
  • 0.0 days response time
  • Created in Nov 2021
  • Modified over 2 years ago
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