Mass Linkedin Email Scraper avatar
Mass Linkedin Email Scraper

Pricing

$5.00/month + usage

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Mass Linkedin Email Scraper

Mass Linkedin Email Scraper

Developed by

Scraper Mind

Scraper Mind

Maintained by Community

[๐—–๐—ต๐—ฒ๐—ฎ๐—ฝ๐—ฒ๐˜€๐˜ ๐—ฃ๐—ฟ๐—ถ๐—ฐ๐—ฒ] The Mass/Bulk LinkedIn Email Scraper efficiently extracts email addresses from LinkedIn profiles based on targeted keywords. Perfect for recruitment, sales outreach, and networking, it offers fast, accurate results at 50% lower costs than competitors.

2.5 (3)

Pricing

$5.00/month + usage

27

Total users

591

Monthly users

174

Runs succeeded

>99%

Last modified

a month ago

You can access the Mass Linkedin Email 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, youโ€™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=scraper-mind/linkedin-email-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Linkedin Email 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=scraper-mind/linkedin-email-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=scraper-mind/linkedin-email-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.