Discover LinkedIn People Posts
1 day trial then $9.00/month - No credit card required now
Discover LinkedIn People Posts
1 day trial then $9.00/month - No credit card required now
It retrieves posts created, liked, or commented on by the user, along with detailed insights like reactions, comments, hashtags, and more, in a structured JSON format.
Pratik DaniActor Metrics
15 Monthly users
No reviews yet
2 bookmarks
>99% runs succeeded
13 hours response time
Created in Jan 2025
Modified a month ago
You can access the Discover LinkedIn People Posts 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=pratikdani/discover-linkedin-people-posts"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Discover LinkedIn People Posts via Model Context Protocol (MCP) server
MCP server lets you use Discover LinkedIn People Posts 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 Discover LinkedIn People Posts Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "url": "https://www.linkedin.com/in/williamhgates"
8},
9 "name": "pratikdani/discover-linkedin-people-posts"
10 }
11}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}Configure local MCP Server via standard input/output for Discover LinkedIn People Posts
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:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "pratikdani/discover-linkedin-people-posts"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}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.
