Linkedin Chat / Message scraper avatar
Linkedin Chat / Message scraper

Pricing

$25.00/month + usage

Go to Store
Linkedin Chat / Message scraper

Linkedin Chat / Message scraper

Developed by

SASWAVE

SASWAVE

Maintained by Community

Linkedin messaging scraper. Manage your linkedin message from chat and inmail history. Extract relevant data. Select inbox type and filter. Extract data about chat history , last message date, who send last message, profile info and more ..

4.0 (1)

Pricing

$25.00/month + usage

5

Total users

26

Monthly users

4

Runs succeeded

82%

Last modified

2 months ago

You can access the Linkedin Chat / Message scraper 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.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=saswave/linkedin-chat-message-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Linkedin Chat / Message scraper

You have a few options for interacting with the MCP server:

  • Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).

  • Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=saswave/linkedin-chat-message-scraper along with an API token (or use OAuth).

  • Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
"mcpServers": {
"apify": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=saswave/linkedin-chat-message-scraper",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.