You can access the LinkedIn Post Scraper - Extract Posts & Engagement Data programmatically from your own 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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    "searchKeywords": [
12        "artificial intelligence"
13    ]
14};
15
16// Run the Actor and wait for it to finish
17const run = await client.actor("intelligent_yaffle/linkedin-post-scraper").call(input);
18
19// Fetch and print Actor results from the run's dataset (if any)
20console.log('Results from dataset');
21console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
22const { items } = await client.dataset(run.defaultDatasetId).listItems();
23items.forEach((item) => {
24    console.dir(item);
25});
26
27// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

LinkedIn Post Scraper API - Content Data API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use LinkedIn Post Scraper - Extract Posts & Engagement Data 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:

LinkedIn Post Scraper - Extract Posts & Engagement Data API in Python

LinkedIn Post Scraper - Extract Posts & Engagement Data API through CLI

LinkedIn Post Scraper - Extract Posts & Engagement Data OpenAPI definition

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