Deprecated

Pricing

$2.00 / 1,000 reels

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Advanced Instagram Reel Scraper (incl. Age restricted Accounts)

Deprecated

See alternative Actors

Developed by

social-media-scraper

Scrape Instagram Reels from users, including 18+ age-restricted accounts (NSFW), with advanced filters like date range and username input! Capture videos, captions, likes, and more instantly. Perfect for agencies needing efficient, large-scale Reel data. Instagram Scraper

5.0 (1)

Pricing

$2.00 / 1,000 reels

Total users

Monthly users

Last modified

7 months ago

Social media

Automation

Videos

You can access the Advanced Instagram Reel Scraper (incl. Age restricted Accounts) 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=social-media-scraper/instagram-reel-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Advanced Instagram Reel Scraper (incl. Age restricted Accounts)

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=social-media-scraper/instagram-reel-scraper 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=social-media-scraper/instagram-reel-scraper",
            "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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