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

Deprecated

Pricing

$3.00 / 1,000 posts

Go to Store
Instagram Posts Scraper (Pay Per Result)

Instagram Posts Scraper (Pay Per Result)

Deprecated

Developed by

Powerful Bachelor

Powerful Bachelor

Maintained by Community

Instagram Posts Scraper lets you extract public posts from any Instagram user quickly and easily. Download data in Excel, HTML, XML, CSV, or JSON for insights on market research, sentiment analysis, and audience engagement. Perfect for data visualizations and reports! πŸ“ŠπŸš€

5.0 (1)

Pricing

$3.00 / 1,000 posts

7

Total users

115

Monthly users

2

Runs succeeded

>99%

Last modified

4 months ago

You can access the Instagram Posts 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=powerful_bachelor/instagram-posts-scraper-pay-per-result",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Instagram Posts 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=powerful_bachelor/instagram-posts-scraper-pay-per-result 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=powerful_bachelor/instagram-posts-scraper-pay-per-result",
"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.