Pricing

$12.55 / 1,000 results

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Faire Scraper - Pay per results

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Developed by

SASWAVE

Faire.com scraper. Extract brands information listing. Provide lists of brands urls to monitor. Stay updated on your competition. Get data about social accounts, product count, business VAT, country, minimum order amount, is selling on amazon, discounts and more

5.0 (1)

Pricing

$12.55 / 1,000 results

Total users

Monthly users

Runs succeeded

94%

Issues response

11 hours

Last modified

25 days ago

E-commerce

Lead generation

You can access the Faire Scraper - Pay per results 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=saswave/faire-scraper---pay-per-results",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Faire Scraper - Pay per results

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=saswave/faire-scraper---pay-per-results 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=saswave/faire-scraper---pay-per-results",
            "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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