Linkedin Posts Scraper (users,companies,groups) ✅ No cookies ✅ avatar
Linkedin Posts Scraper (users,companies,groups) ✅ No cookies ✅

Pricing

$25.00/month + usage

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Linkedin Posts Scraper (users,companies,groups) ✅ No cookies ✅

Linkedin Posts Scraper (users,companies,groups) ✅ No cookies ✅

Developed by

Scraping Solutions

Scraping Solutions

Maintained by Community

LinkedIn Timelines Posts Scraper Scrape LinkedIn timeline posts from users, groups, showcase pages, and schools quickly and efficiently. This actor extracts detailed post data, including content, timestamps, engagement metrics (likes, comments, shares), and media (images, videos, links).

4.2 (4)

Pricing

$25.00/month + usage

0

Total users

38

Monthly users

20

Runs succeeded

76%

Issue response

17 hours

Last modified

2 days ago

You can access the Linkedin Posts Scraper (users,companies,groups) ✅ No cookies ✅ 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.

$# Start Server-Sent Events (SSE) session and keep it running
<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=scraping_solutions/linkedin-posts-scraper-users-groups-schools-no-cookies"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Scrape LinkedIn Posts from Users, Groups No Cookies via Model Context Protocol (MCP) server

MCP server lets you use Scrape LinkedIn Posts from Users, Groups No Cookies within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Scrape LinkedIn Posts from Users, Groups No Cookies Actor with the provided input.

$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
$ "jsonrpc": "2.0",
$ "id": 1,
$ "method": "tools/call",
$ "params": {
$ "arguments": {
$ "username": "google",
$ "start": 1,
$ "iterations": 2
$},
$ "name": "scraping_solutions/linkedin-posts-scraper-users-groups-schools-no-cookies"
$ }
$}'

The response should be: Accepted. You should received response via SSE (JSON) as:

$event: message
$data: {
$ "result": {
$ "content": [
$ {
$ "type": "text",
$ "text": "ACTOR_RESPONSE"
$ }
$ ]
$ }
$}

Configure local MCP Server via standard input/output for Scrape LinkedIn Posts from Users, Groups No Cookies

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"scraping_solutions/linkedin-posts-scraper-users-groups-schools-no-cookies"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.