Instagram Like & Comments Scraper avatar
Instagram Like & Comments Scraper

Pricing

$25.00/month + usage

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Instagram Like & Comments Scraper

Instagram Like & Comments Scraper

Developed by

SASWAVE

SASWAVE

Maintained by Community

List all your followers likes and comments on your posts for data analysis. You can also list likes from a posts you are not the owner, instagram limit of 100 likers per post You can narrow down, who is engaging and who might be a bot, dragging down your reach/engagement. Boost your instagram posts

5.0 (1)

Pricing

$25.00/month + usage

20

Total users

279

Monthly users

24

Runs succeeded

13%

Issues response

2.1 days

Last modified

2 months ago

You can access the Instagram Like & Comments Scraper 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=saswave/instagram-like-comments-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Instagram Like & Comments Scraper

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=saswave/instagram-like-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=saswave/instagram-like-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.