Olx Scraper
3 hours trial then $25.00/month - No credit card required now
Olx Scraper
3 hours trial then $25.00/month - No credit card required now
The OLX Scraper is an Apify actor designed to extract detailed data from olx.com. Customize inputs like item limit, price range, and search query. Get comprehensive JSON outputs with listing details, images, prices, and more. Ideal for precise and efficient data scraping.
You can access the Olx Scraper programmatically from your own JavaScript applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11 "query": "mobile phone",
12 "price_min": 50,
13 "price_max": 50000,
14 "item_limit": 100,
15 "proxyConfiguration": {
16 "useApifyProxy": true
17 }
18};
19
20// Run the Actor and wait for it to finish
21const run = await client.actor("hello.datawizard-owner/olx-scraper").call(input);
22
23// Fetch and print Actor results from the run's dataset (if any)
24console.log('Results from dataset');
25console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
26const { items } = await client.dataset(run.defaultDatasetId).listItems();
27items.forEach((item) => {
28 console.dir(item);
29});
30
31// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsOlx Scraper API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Olx 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:
datawizardsActor Metrics
2 monthly users
-
0 No stars yet
>99% runs succeeded
Created in Jan 2025
Modified 2 days ago
