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Instagram Profile Scraper

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Instagram Profile Scraper

Instagram Profile Scraper

apify/instagram-profile-scraper
Try for free

Pay $2.30 for 1,000 results

Scrape all Instagram profile info. Just add one or more Instagram usernames and extract number of followers&follows, URLs, bio, posts, likes, counts, related profiles, captions, highlight reels. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.

You can access the Instagram Profile Scraper programmatically from your own applications by using the Apify API. You can 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.

1# Start Server-Sent Events (SSE) session
2curl https://actors-mcp-server.apify.actor/sse?token=<APIFY_TOKEN>
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Instagram Profile Scraper via Model Context Protocol (MCP) server

MCP server lets you use Instagram Profile Scraper within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Instagram Profile Scraper Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {  # Actor inputs
7        "usernames": ...,
8        ...
9    },
10    "name": "dSCLg0C3YEZ83HzYX"
11  }
12}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [{
5      "type": "text"
6      "text": "ACTOR_RESPONSE"
7    }]
8  }
9}

Configure local MCP Server via standard input/output for Instagram Profile Scraper

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2"mcpServers": {
3  "actors-mcp-server": {
4    "command": "npx",
5    "args": [
6      "-y", "@apify/actors-mcp-server",
7      "--actors", "dSCLg0C3YEZ83HzYX"
8    ],
9    "env": {
10       "APIFY_TOKEN": "YOUR_API_TOKEN"
11    }
12  }
13}
14}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.

Developer
Maintained by Apify

Actor Metrics

  • 3.8k Monthly users

  • 4.5 / 5 (25)

  • 342 bookmarks

  • >99% runs succeeded

  • 2.9 days response time

  • Created in Nov 2021

  • Modified 8 hours ago