
Linkedin Post Search Scraper (No Cookies) ✅ $2 per 1k posts
Pricing
$2.00 / 1,000 results

Linkedin Post Search Scraper (No Cookies) ✅ $2 per 1k posts
Search LinkedIn Posts with advanced filters by target profiles or companies. No cookies or account required. Concurrency + fast response times make mass scraping fast ⚡
0.0 (0)
Pricing
$2.00 / 1,000 results
3
Total users
9
Monthly users
9
Runs succeeded
84%
Last modified
9 hours ago
You can access the Linkedin Post Search Scraper (No Cookies) ✅ $2 per 1k 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.
$# Start Server-Sent Events (SSE) session and keep it running<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=harvestapi/linkedin-post-search"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using Linkedin Post Search Scraper (No Cookies) ✅ $2 per 1k posts via Model Context Protocol (MCP) server
MCP server lets you use Linkedin Post Search Scraper (No Cookies) ✅ $2 per 1k 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 Linkedin Post Search Scraper (No Cookies) ✅ $2 per 1k posts Actor with the provided input.
$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{$ "jsonrpc": "2.0",$ "id": 1,$ "method": "tools/call",$ "params": {$ "arguments": {$ "searchQueries": [$ "Hiring software engineer",$ "Hiring full stack developer",$ "Hiring backend developer"$ ],$ "postedLimit": "month",$ "sortBy": "relevance",$ "authorsCompanyUrls": [$ "https://www.linkedin.com/company/google"$ ],$ "authorsCompanyPublicIdentifiers": [$ "microsoft",$ "amazon",$ "meta"$ ],$ "maxPosts": 10$},$ "name": "harvestapi/linkedin-post-search"$ }$}'
The response should be: Accepted
. You should received response via SSE (JSON) as:
$event: message$data: {$ "result": {$ "content": [$ {$ "type": "text",$ "text": "ACTOR_RESPONSE"$ }$ ]$ }$}
Configure local MCP Server via standard input/output for Linkedin Post Search Scraper (No Cookies) ✅ $2 per 1k 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:
{ "mcpServers": { "actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "harvestapi/linkedin-post-search" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}
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.