LinkedIn Profiles into Verified Emails with Apollo.io avatar
LinkedIn Profiles into Verified Emails with Apollo.io

Deprecated

Pricing

$9.59 / 1,000 results

Go to Store
LinkedIn Profiles into Verified Emails with Apollo.io

LinkedIn Profiles into Verified Emails with Apollo.io

Deprecated

Developed by

Manpreet Singh

Manpreet Singh

Maintained by Community

Looking to supercharge your sales, marketing, or recruitment efforts? Our Apollo.io-powered LinkedIn email scraper extracts verified business emails from LinkedIn profiles in seconds. 🔹 Boost outreach efficiency 🔹 Find verified B2B emails instantly 🔹 Scale your lead generation process

0.0 (0)

Pricing

$9.59 / 1,000 results

1

Total users

50

Monthly users

24

Runs succeeded

0%

Last modified

3 months ago

You can access the LinkedIn Profiles into Verified Emails with Apollo.io 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": {
"local-actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"certified_armor/linkedin-profiles-into-verified-emails-with-apollo-io"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

Configure MCP server with Convert LinkedIn Profiles into Verified Emails

You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:

{
"mcpServers": {
"remote-actors-mcp-server": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=certified_armor/linkedin-profiles-into-verified-emails-with-apollo-io",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported 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.