Linkedin Batch Profile Posts Scraper | NO COOKIES
Pay $5.00 for 1,000 results
Linkedin Batch Profile Posts Scraper | NO COOKIES
Pay $5.00 for 1,000 results
Scrape in Batch LinkedIn posts from LinkedIn profiles including post content, reactions, comments count, and media attachments
API MaestroActor Metrics
6 monthly users
5.0 / 5 (1)
1 bookmark
>99% runs succeeded
Created in Mar 2025
Modified 2 hours ago
You can access the Linkedin Batch Profile Posts Scraper | 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=apimaestro/linkedin-batch-profile-posts-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Linkedin Batch Profile Posts | NO COOKIES via Model Context Protocol (MCP) server
MCP server lets you use Linkedin Batch 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 Batch 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": {
7 "usernames": [
8 "satyanadella",
9 "https://www.linkedin.com/in/williamhgates/"
10 ]
11},
12 "name": "apimaestro/linkedin-batch-profile-posts-scraper"
13 }
14}'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 Linkedin Batch 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",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "apimaestro/linkedin-batch-profile-posts-scraper"
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.
