You can access the 💬 LinkedIn Conversation Scraper 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    "li_at": "",
12    "proxyConfiguration": {
13        "useApifyProxy": false
14    }
15};
16
17// Run the Actor and wait for it to finish
18const run = await client.actor("scrapemesh/linkedin-conversation-scraper").call(input);
19
20// Fetch and print Actor results from the run's dataset (if any)
21console.log('Results from dataset');
22console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
23const { items } = await client.dataset(run.defaultDatasetId).listItems();
24items.forEach((item) => {
25    console.dir(item);
26});
27
28// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

💬 LinkedIn Conversation Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use 💬 LinkedIn Conversation Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client