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Linkedin Ads Fast&Cheapest Scraper 2025 | $6/month

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fastcrawler

Linkedin Ads Fast&Cheapest Scraper 2024 | $6/month Speed: Quickly extract LinkedIn Ads data to save time and maximize productivity. Affordability: Budget-friendly without compromising on efficiency or accuracy. Ease of Use: Intuitive interface perfect for professionals and beginners alike.

0.0 (0)

Pricing

$5.99/month + usage

Total users

Monthly users

Runs succeeded

94%

Last modified

4 months ago

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You can access the Linkedin Ads Fast&Cheapest Scraper 2025 | $6/month 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=fastcrawler/linkedin-ads-fast-cheapest-scraper-2025-6-month",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Linkedin Ads Fast&Cheapest Scraper 2025 | $6/month

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=fastcrawler/linkedin-ads-fast-cheapest-scraper-2025-6-month 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=fastcrawler/linkedin-ads-fast-cheapest-scraper-2025-6-month",
            "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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