Pricing

Pay per usage

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Example Website Screenshot Crawler

Try for free

Developed by

dz_omar

Automated website screenshot crawler using Pyppeteer and Apify. This open-source actor captures screenshots from specified URLs, uploads them to the Apify Key-Value Store, and provides easy access to the results, making it ideal for monitoring website changes and archiving web content.

5.0 (1)

Pricing

Pay per usage

Total users

Monthly users

Runs succeeded

95%

Last modified

8 months ago

Automation

Open source

You can access the Example Website Screenshot Crawler 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=dz_omar/example-website-screenshot-crawler",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Automated Website Screenshot Crawler with Pyppeteer

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=dz_omar/example-website-screenshot-crawler 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=dz_omar/example-website-screenshot-crawler",
            "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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