Pinterest Comments Scraper โœจ๐Ÿ“Œ๐Ÿ’ฌ avatar
Pinterest Comments Scraper โœจ๐Ÿ“Œ๐Ÿ’ฌ

Pricing

$9.90/month + usage

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Pinterest Comments Scraper โœจ๐Ÿ“Œ๐Ÿ’ฌ

Pinterest Comments Scraper โœจ๐Ÿ“Œ๐Ÿ’ฌ

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Storm_Scraper

Storm_Scraper

Maintained by Community

Pinterest Comments Scraper ๐Ÿ’ฌ๐Ÿ“Œ๐Ÿ” allows you to extract detailed comments from Pinterest posts. With customizable filters and in-depth data extraction, you can easily gather the insights needed for your projects! ๐ŸŒŸโœจ๐Ÿ“

0.0 (0)

Pricing

$9.90/month + usage

1

Total users

7

Monthly users

3

Runs succeeded

>99%

Last modified

a month ago

You can access the Pinterest Comments Scraper โœจ๐Ÿ“Œ๐Ÿ’ฌ programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโ€™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=scrapestorm/pinterest-comments-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Pinterest Comments Scraper โœจ๐Ÿ“Œ๐Ÿ’ฌ

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=scrapestorm/pinterest-comments-scraper 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=scrapestorm/pinterest-comments-scraper",
"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.