YouTube Most Replayed Scraper (Heatmap extractor) avatar
YouTube Most Replayed Scraper (Heatmap extractor)

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$7.50 / 1,000 results

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YouTube Most Replayed Scraper (Heatmap extractor)

YouTube Most Replayed Scraper (Heatmap extractor)

Developed by

karamelo

karamelo

Maintained by Community

Extract 1 or 1000s of YouTube Most Replayed heatmap parts of videos fast. Save time & effort. Get detailed normalized graphs with coordinates, timestamps. Extremely useful for creators for identifying viral content, marketers, researchers... Export in various formats, JSON, HTML, CSV, EXCEL...

0.0 (0)

Pricing

$7.50 / 1,000 results

3

Total users

83

Monthly users

26

Runs succeeded

>99%

Last modified

4 days ago

You can access the YouTube Most Replayed Scraper (Heatmap extractor) 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=karamelo/youtube-most-replayed-scraper-heatmap-extractor",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with YouTube Most Replayed Scraper (Heatmap extractor)

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=karamelo/youtube-most-replayed-scraper-heatmap-extractor 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=karamelo/youtube-most-replayed-scraper-heatmap-extractor",
"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.