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Meta Ad Library Suggestions Scrapper

Under maintenance

Pricing

Pay per event

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Meta Ad Library Suggestions Scrapper

Meta Ad Library Suggestions Scrapper

Under maintenance

Developed by

Shop Intel

Shop Intel

Maintained by Community

This APIFY actor queries Meta's Ad Library via GraphQL to return smart brand suggestions based on your input. Get rich metadata including page category, likes, verification status, Instagram handle, follower count, and direct Ad Library URLs.

5.0 (1)

Pricing

Pay per event

1

Total users

8

Monthly users

8

Runs succeeded

>99%

Last modified

a month ago

You can access the Meta Ad Library Suggestions Scrapper 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=scrapeio/meta-ad-library-suggestions-scrapper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Meta Ad Library Suggestions Scrapper

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=scrapeio/meta-ad-library-suggestions-scrapper 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=scrapeio/meta-ad-library-suggestions-scrapper",
"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.