![Linkedin Profile Posts [NO COOKIES] avatar](https://images.apifyusercontent.com/M3KB2nbI1Zhqg-fJWRUswA8pRGAGMtm0IaNbq_mQzJo/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdFhKaEQ5SFNvdTY4N2NEUTQtYWN0b3ItTFFRSVhOOU90aGY4ZjdSNW4tRTRIaDRTelRoci02MTEwOS5wbmc.webp)
Linkedin Profile Posts [NO COOKIES]
Pay $5.00 for 1,000 profiles
![Linkedin Profile Posts [NO COOKIES]](https://images.apifyusercontent.com/M3KB2nbI1Zhqg-fJWRUswA8pRGAGMtm0IaNbq_mQzJo/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdFhKaEQ5SFNvdTY4N2NEUTQtYWN0b3ItTFFRSVhOOU90aGY4ZjdSNW4tRTRIaDRTelRoci02MTEwOS5wbmc.webp)
Linkedin Profile Posts [NO COOKIES]
Pay $5.00 for 1,000 profiles
Scrape linkedin public posts and activity from LinkedIn profiles including post content, reactions, comments count, and media attachments
Actor Metrics
231 Monthly users
4.4 / 5 (3)
38 bookmarks
98% runs succeeded
22 hours response time
Created in Dec 2024
Modified 2 hours ago
You can access the Linkedin Profile Posts [NO COOKIES] programmatically from your own applications by using the Apify API. You can 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
2curl https://actors-mcp-server.apify.actor/sse?token=<APIFY_TOKEN>
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using Linkedin Profile Posts [NO COOKIES] via Model Context Protocol (MCP) server
MCP server lets you use Linkedin Profile Posts [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 Linkedin Profile Posts [NO COOKIES] 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": { # Actor inputs
7 "username": ...,
8 ...
9 },
10 "name": "LQQIXN9Othf8f7R5n"
11 }
12}'
The response should be: Accepted
. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [{
5 "type": "text"
6 "text": "ACTOR_RESPONSE"
7 }]
8 }
9}
Configure local MCP Server via standard input/output for Linkedin Profile Posts [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:
1{
2"mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y", "@apify/actors-mcp-server",
7 "--actors", "LQQIXN9Othf8f7R5n"
8 ],
9 "env": {
10 "APIFY_TOKEN": "YOUR_API_TOKEN"
11 }
12 }
13}
14}
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.