Pricing

$10.00/month + usage

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Product Hunt Data Extractor

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Developed by

Mauricio Perera

This actor efficiently scrapes product details from ProductHunt, including names, descriptions, images, categories, and video thumbnails. It's designed specifically for ProductHunt, ensuring accurate and structured data for product research and competitive analysis.

0.0 (0)

Pricing

$10.00/month + usage

Total users

Monthly users

Runs succeeded

94%

Last modified

8 months ago

Developer tools

News

You can access the Product Hunt Data Extractor 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "local-actors-mcp-server": {
            "command": "npx",
            "args": [
                "-y",
                "@apify/actors-mcp-server",
                "--actors",
                "rckflr/product-hunt-data-extractor"
            ],
            "env": {
                "APIFY_TOKEN": "<YOUR_API_TOKEN>"
            }
        }
    }
}

Configure MCP server with ProductHunt Data Extractor by Rckflr

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=rckflr/product-hunt-data-extractor",
            "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.

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