OpenTable | Meta | Menu | Reviews | Availability | Offers...

Pricing

$11.00/month + usage

Try for free

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OpenTable | Meta | Menu | Reviews | Availability | Offers...

Try for free

Developed by

Muhamed Didovic

Maintained by Community

Extract complete OpenTable restaurant intelligence: detailed info, full menus with prices, comprehensive reviews & ratings, real-time availability, VIP offers, loyalty programs, photos, and operational data. Get everything in one scrape for market research and business analysis.

5.0 (1)

Pricing

$11.00/month + usage

Issues response

4.4 hours

Last modified

16 days ago

Automation

Lead generation

Travel

You can access the OpenTable | Meta | Menu | Reviews | Availability | Offers... 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=memo23/opentable-reviews-cheerio",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with OpenTable | Meta | Menu | Reviews | Availability | Offers...

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=memo23/opentable-reviews-cheerio 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=memo23/opentable-reviews-cheerio",
            "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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