Pricing

$19.99/month + usage

Linkedin Post Reactions Scraper

Scrape LinkedIn post reactions with ease 👍💼 Extract reaction types, user names, profile links, and engagement data from public posts. Perfect for audience research, competitor analysis, lead generation, and campaign insights. Track LinkedIn engagement smarter 🚀

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

ScrapeLabs

Actor stats

Bookmarked

Total users

Monthly active users

24 days ago

Last modified

Categories

Social media

Lead generation

Automation

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    "posts": [
12        "https://www.linkedin.com/posts/satyanadella_no-one-becomes-a-clinician-to-do-paperwork-activity-7302346926123798528-jitu"
13    ],
14    "proxyConfiguration": {
15        "useApifyProxy": false
16    }
17};
18
19// Run the Actor and wait for it to finish
20const run = await client.actor("scrapelabsapi/linkedin-post-reactions-scraper").call(input);
21
22// Fetch and print Actor results from the run's dataset (if any)
23console.log('Results from dataset');
24console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
25const { items } = await client.dataset(run.defaultDatasetId).listItems();
26items.forEach((item) => {
27    console.dir(item);
28});
29
30// 📚 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

scrapio/linkedin-post-reactions-scraper

Scrape LinkedIn post reaction data instantly with this LinkedIn Post Reactions Scraper 👍 Extract usernames, reaction types, profile links, and engagement insights with ease 📊 Perfect for audience analysis, lead generation, competitor research, and social selling 🔍🚀

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Linkedin Post Reactions Scraper

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LinkedIn Post Reactions Scraper extracts reaction data from LinkedIn posts. Collect users who reacted, reaction types, profile URLs, and timestamps. Ideal for engagement analysis, lead discovery, influencer tracking, and LinkedIn audience insights.

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Linkedin post reactions scraper

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Scrape reactions or likes from linkedin post

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Linkedin Post Comments Scraper

scrapelabsapi/linkedin-post-comments-scraper

Scrape LinkedIn post comments in seconds 💬💼 Extract comment text, author names, profile links, timestamps, and engagement data from public posts. Perfect for audience insights, competitor research, lead generation, and campaign analysis. Turn LinkedIn conversations into data 🚀

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Linkedin Profile Post Scraper

scraperforge/linkedin-profile-post-scraper

Scrape LinkedIn profile posts with ease 💼📢 Extract post content, dates, reactions, comments, shares, media, and more from public profiles. Perfect for competitor research, content analysis, lead generation, and personal brand tracking. Get valuable LinkedIn insights fast 🚀

ScraperForge

Linkedin Profile Post Scraper

scraper-engine/linkedin-profile-post-scraper

Extract public posts from LinkedIn profiles with this reliable LinkedIn Profile Post Scraper. Collect post text, dates, reactions, comments count, media links, and engagement metrics in structured JSON. Ideal for lead research, content analysis, and competitive monitoring at scale.

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