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$1.50 / 1,000 results

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Instagram User Posts details Scraper Pro

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Developed by

GetDataForMe

We've built an Instagram user post scraper that helps you fetch user posts along with key insights like comment count, image, like count, and post URL. Use it to track influencer posts, analyze engagement, and gain valuable Instagram analytics. Instagram user post scraper

1.0 (1)

Pricing

$1.50 / 1,000 results

Total users

Monthly users

Runs succeeded

>99%

Last modified

24 days ago

Social media

You can access the Instagram User Posts details Scraper Pro 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": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/sse?actors=getdataforme/instagram-user-posts-details-scraper-pro",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Instagram User Posts details Scraper Pro

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=getdataforme/instagram-user-posts-details-scraper-pro 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=getdataforme/instagram-user-posts-details-scraper-pro",
            "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.

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