🏯 Instagram Scraper (Pay Per Result) avatar
🏯 Instagram Scraper (Pay Per Result)

Pricing

$0.50 / 1,000 posts

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🏯 Instagram Scraper (Pay Per Result)

🏯 Instagram Scraper (Pay Per Result)

Developed by

API Dojo

API Dojo

Maintained by Community

Famous for its blazing-fast speed and completeness, it offers rapid and efficient scraping of many URLs such as; location, audio, tag, and profile. It's incredibly cost-effective at only $0.50 for every 1000 posts, capable of scraping 100-200 posts each second!

4.0 (3)

Pricing

$0.50 / 1,000 posts

86

Total users

2.1K

Monthly users

314

Runs succeeded

>99%

Issues response

3.5 hours

Last modified

2 hours ago

You can access the 🏯 Instagram Scraper (Pay Per Result) 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=apidojo/instagram-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with 🏯 Instagram Scraper (Pay Per Result)

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=apidojo/instagram-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=apidojo/instagram-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.