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Instagram Leads Generator

Under maintenance

Pricing

$45.00/month + usage

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Instagram Leads Generator

Instagram Leads Generator

Under maintenance

Developed by

Caprolok

Caprolok

Maintained by Community

Instagram Leads Generator: A high-speed tool for extracting targeted lead information from Instagram profiles. Generate leads across multiple categories. Ideal for influencer marketing, B2B outreach, and market research. Customizable searches, efficient data collection, and user-friendly interface.

1.0 (1)

Pricing

$45.00/month + usage

28

Total users

621

Monthly users

70

Runs succeeded

95%

Issues response

67 days

Last modified

9 days ago

You can access the Instagram Leads Generator 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=caprolok/instagram-leads-generator",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Instagram Leads Generator

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=caprolok/instagram-leads-generator 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=caprolok/instagram-leads-generator",
"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.