Linkedin_profile_activity_posts_scraper_with_date
This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?
See alternative ActorsLinkedin_profile_activity_posts_scraper_with_date
This actor uses cookies as input and it can take multiple URLs as string and scrapes more than 1000 profile at once
Hanuman sYou can access the Linkedin_profile_activity_posts_scraper_with_date 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-3b7dc542f1faUsing Linkedin_profile_activity_posts_scraper_with_date via Model Context Protocol (MCP) server
MCP server lets you use Linkedin_profile_activity_posts_scraper_with_date 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_activity_posts_scraper_with_date 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 "cookies": ...,
8 "profileurls": ...,
9 ...
10 },
11 "name": "HHPJdA0BVqRetjbl2"
12 }
13}'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_activity_posts_scraper_with_date
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", "HHPJdA0BVqRetjbl2"
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.
