Lazada Scraper
No credit card required
Lazada Scraper
No credit card required
Unofficial Lazada API to extract data from Lazada based on keywords or categories. Scrape prices, product descriptions, images, location, availability, brand, and more. Download extracted data in structured format and use it in reports, spreadsheets, databases, and applications.
You can access the Lazada 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://www.lazada.co.id/beli-handphone/"
14 }
15 ],
16 "maxPages": 2,
17 "proxyConfig": {
18 "useApifyProxy": true,
19 "apifyProxyGroups": [
20 "RESIDENTIAL"
21 ],
22 "apifyProxyCountry": "US"
23 }
24};
25
26// Run the Actor and wait for it to finish
27const run = await client.actor("dtrungtin/lazada-scraper").call(input);
28
29// Fetch and print Actor results from the run's dataset (if any)
30console.log('Results from dataset');
31console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
32const { items } = await client.dataset(run.defaultDatasetId).listItems();
33items.forEach((item) => {
34 console.dir(item);
35});
36
37// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
Lazada Scraper API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Lazada 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
12 monthly users
-
3 stars
>99% runs succeeded
0.89 hours response time
Created in Jul 2023
Modified 18 days ago