Fast LinkedIn Ad Library Scraper (pay per result)
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Pay $3.00 for 1,000 results
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Fast LinkedIn Ad Library Scraper (pay per result)
aymorato/fast-linkedin-ad-library-scraper-pay-per-result
Try for free
Pay $3.00 for 1,000 results
Easily Scrape LinkedIn's Unlimited Scroll Ad Library without the Need for Proxies.
You can access the Fast LinkedIn Ad Library Scraper (pay per result) programmatically from your own JavaScript applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11 "startUrl": "https://www.linkedin.com/ad-library/search?accountOwner=amd",
12 "maxItems": 1000
13};
14
15// Run the Actor and wait for it to finish
16const run = await client.actor("aymorato/fast-linkedin-ad-library-scraper-pay-per-result").call(input);
17
18// Fetch and print Actor results from the run's dataset (if any)
19console.log('Results from dataset');
20console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
21const { items } = await client.dataset(run.defaultDatasetId).listItems();
22items.forEach((item) => {
23 console.dir(item);
24});
25
26// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsFast LinkedIn Ad Library Scraper (pay per result) API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Fast LinkedIn Ad Library Scraper (pay per result) API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
npm install apify-clientOther API clients include:
Developer
Alwin MoratoMaintained by Community
Actor metrics
- 4 monthly users
- 1 star
- 100.0% runs succeeded
- Created in Mar 2024
- Modified 5 months ago
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