Google Ad Transparency Scraper Cheerio avatar
Google Ad Transparency Scraper Cheerio

Pricing

$10.00/month + usage

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Google Ad Transparency Scraper Cheerio

Google Ad Transparency Scraper Cheerio

Developed by

Muhamed Didovic

Muhamed Didovic

Maintained by Community

Unlock deep insights into any brand’s Google ads—across regions, formats, and time. Scrape, analyze, and export rich ad data at scale for research, compliance, or competitive intelligence—fast, reliable, and always up-to-date.

0.0 (0)

Pricing

$10.00/month + usage

0

Total users

16

Monthly users

10

Runs succeeded

>99%

Issues response

0.78 hours

Last modified

a month ago

You can access the Google Ad Transparency Scraper Cheerio 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.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=memo23/google-ad-transparency-scraper-cheerio",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Google Ad Transparency Scraper Cheerio

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=memo23/google-ad-transparency-scraper-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/sse?actors=memo23/google-ad-transparency-scraper-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.