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

Linkedin Post Reactions Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Linkedin Post Reactions 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:

Linkedin Post Reactions Scraper API in Python

Linkedin Post Reactions Scraper API through CLI

Linkedin Post Reactions Scraper OpenAPI definition

Linkedin Post Reactions Scraper API

Linkedin post reactions scraper

curious_coder/linkedin-post-reactions-scraper

Scrape reactions or likes from linkedin post

Curious Coder

550

Linkedin Post Comments,Replies,Engagements Scraper | No Cookies

apimaestro/linkedin-post-comments-replies-engagements-scraper-no-cookies

Scrape in Batch all LinkedIn post related data including comments, stats, , reactions, replies and media attachments

API Maestro

1.5K

4.9

LinkedIn Post Reactions Bulk Scraper (No Cookies)⚡$2 per 1k

harvestapi/linkedin-post-reactions

Extract LinkedIn post social activities and reactions such as likes, appreciations, etc. No cookies or account required. Concurrency + fast response times make mass scraping fast ⚡

HarvestAPI

272

5.0

Linkedin Profile Posts Scraper [NO COOKIES]

apimaestro/linkedin-profile-posts

Scrape LinkedIn posts data for a given LinkedIn profile including post content, reactions, comments count, and media attachments

API Maestro

7.8K

4.3

Linkedin Posts Reactions Scraper

saswave/linkedin-posts-interactions-parser

Extract people who comments, mentions and likes from linkedin post or article. Allows you to extract all interactions / reactions from a url. Input can be a /posts url or article url. Also provide a /company or /in url and it will parse multiple posts from the source (organic and promoted LinkedIn)

SASWAVE

340

5.0

Linkedin Post Like Scraper

bhansalisoft/linkedin-post-like-scraper

Linkedin Post Like Scraper- Easily extract likes detail from any LinkedIn post with our LinkedIn Post Like Scraper. Fast, secure, and no coding required.

bhansalisoft

Linkedin post scraper

curious_coder/linkedin-post-search-scraper

Scrape linkedin posts or updates from linkedin post search results. Supports advanced linkedin search filters. Extract posts from any linkedin member

Curious Coder

4.3

Linkedin Profile Comments [NO COOKIES]

apimaestro/linkedin-profile-comments

Linkedin User comments scraper: Extract comments LinkedIn profiles and users including post content, reactions, stats, media attachments and more.

API Maestro

517

5.0

LinkedIn Posts Scraper

pratikdani/linkedin-posts-scraper

Scrape LinkedIn posts data from LinkedIn Post URLs.

Pratik Dani

492

5.0

Linkedin-user-post-Scraper ✅

getdataforme/linkedin-user-post-scraper

Linkedin Post Scraper is the apify actor to scrape posts from users. It also support build entry of the urls and scrapes all the post posted by the users or company with full detailed information like. If it was a reposted linkedin post or self. Company details, url, the reaction on the post.