Linkedin Post Scraper ✅ No cookies ✅ $2 per 1k posts avatar
Linkedin Post Scraper ✅ No cookies ✅ $2 per 1k posts

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Linkedin Post Scraper ✅ No cookies ✅ $2 per 1k posts

Linkedin Post Scraper ✅ No cookies ✅ $2 per 1k posts

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Supreme Coder

Supreme Coder

Maintained by Community

Scrape unlimited Linkedin posts without risking your Linkedin account. Live data, Super fast scraping at affordable cost. High success rate

3.5 (7)

Pricing

Pay per event

67

Total users

945

Monthly users

484

Runs succeeded

>99%

Issue response

12 days

Last modified

2 months ago

You can access the Linkedin Post 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=supreme_coder/linkedin-post"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Linkedin Post Scraper ✅ No cookies ✅ $2 per 1k posts via Model Context Protocol (MCP) server

MCP server lets you use Linkedin Post 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 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": {
$ "urls": [
$ "https://www.linkedin.com/posts/linkedin_no-is-a-complete-sentence-activity-7247998907798978560-J_hB?utm_source=share&utm_medium=member_desktop",
$ "https://www.linkedin.com/company/amazon",
$ "https://www.linkedin.com/search/results/content/?datePosted=%22past-24h%22&keywords=ai&origin=FACETED_SEARCH"
$ ],
$ "limitPerSource": 10
$},
$ "name": "supreme_coder/linkedin-post"
$ }
$}'

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 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",
"supreme_coder/linkedin-post"
],
"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.