Pricing

$5.00 / 1,000 results

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Linkedin Mass Profile Posts Scraper | NO COOKIES

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Developed by

API Maestro

Scrape in Batch LinkedIn posts from LinkedIn profiles including post content, reactions, comments count, and media attachments

5.0 (1)

Pricing

$5.00 / 1,000 results

Monthly users

Runs succeeded

>99%

Last modified

2 hours ago

Social media

Automation

Developer tools

You can access the Linkedin Mass 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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-3b7dc542f1fa

Using 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.

Pricing

Pricing model

Pay per result

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Price per 1,000 items

$5.00

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