Instagram Reels Thumbnail Scraper & Downloader

Pricing

$7.00/month + usage

Try for free

Go to Apify Store

Instagram Reels Thumbnail Scraper & Downloader

Try for free

Developed by

CodeNest

Maintained by Community

Extracts multiple high-quality thumbnails from Instagram Reels. Provides direct download URLs, comprehensive post metadata (likes, comments, description), in-depth technical image analysis for each frame. Perfect for content analysis and archiving. 🎆Instagram Reels Thumbnail Scraper & Downloader.

0.0 (0)

Pricing

$7.00/month + usage

Last modified

14 hours ago

Social media

Developer tools

Other

You can access the Instagram Reels Thumbnail Scraper & Downloader 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/?actors=codenest/instagram-reels-thumbnail-scraper-downloader",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Instagram Reels Thumbnail Scraper & Downloader

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/?actors=codenest/instagram-reels-thumbnail-scraper-downloader 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/?actors=codenest/instagram-reels-thumbnail-scraper-downloader",
            "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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