Pricing

$20.00/month + usage

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LinkedIn Scrape: Profiles, Posts, Messages, Reactions, Comments

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Developed by

Agent-X

Scrape & Collect profiles, companies, posts, messages, reactions, and comments efficiently. Save 84% on costs while getting more functionality. Perfect for researchers, recruiters, sales teams, and marketers. Customizable, automated, and easy to integrate.

1.2 (2)

Pricing

$20.00/month + usage

Issues response

12 days

Last modified

5 months ago

Lead generation

Social media

Automation

You can access the LinkedIn Scrape: Profiles, Posts, Messages, Reactions, Comments 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    "cookie": {
12        "li_at": "AQEDASp5C8kFE-KwAAABjLU1NbIAAAGM2UG5sk4AKQeJJk...",
13        "JSESSIONID": "ajax:853756...."
14    },
15    "operations": {
16        "operations": [
17            {
18                "retrieval_type": "Post_Content",
19                "url": "https://linkedin.com/in/sarah-smith-12345...",
20                "days_to_go_back": 7,
21                "number_of_posts": 5,
22                "deep_search": false,
23                "number_of_comments": 5,
24                "number_of_reactions": 5
25            },
26            {
27                "retrieval_type": "Post_From_URL",
28                "keywords": "artificial intelligence",
29                "extra_filters": ",geoUrn->103644278,network->F",
30                "deep_search": false,
31                "number_of_comments": 1,
32                "number_of_reactions": 1,
33                "number_of_search_pages": 1
34            },
35            {
36                "retrieval_type": "Company",
37                "url": "https://linkedin.com/company/acme-innovations..."
38            },
39            {
40                "retrieval_type": "LinkedIn_Profile",
41                "url": "https://linkedin.com/in/sarah-smith-12345..."
42            },
43            {
44                "retrieval_type": "Conversation_Detail",
45                "profile": "https://linkedin.com/in/sarah-smith-12345..."
46            }
47        ]
48    },
49    "proxyConfiguration": {
50        "useApifyProxy": true
51    },
52    "apifyToken": "apfy_act_1234567890abcdefghijklmn",
53    "webHookUrls": [
54        "https://api.company.com/webhook/linkedin"
55    ]
56};
57
58// Run the Actor and wait for it to finish
59const run = await client.actor("agent-x/linkedin-multi-functional-scraper").call(input);
60
61// Fetch and print Actor results from the run's dataset (if any)
62console.log('Results from dataset');
63console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
64const { items } = await client.dataset(run.defaultDatasetId).listItems();
65items.forEach((item) => {
66    console.dir(item);
67});
68
69// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

LinkedIn Scrape: Profiles, Posts, Messages, Reactions, Comments API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use LinkedIn Scrape: Profiles, Posts, Messages, Reactions, Comments 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 Scrape: Profiles, Posts, Messages, Reactions, Comments API in Python

LinkedIn Scrape: Profiles, Posts, Messages, Reactions, Comments API through CLI

LinkedIn Scrape: Profiles, Posts, Messages, Reactions, Comments OpenAPI definition

LinkedIn Scrape: Profiles, Posts, Messages, Reactions, Comments API

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