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Session/Login Extractor

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Developed by

pragmaticcoders

Automates login flows and extracts session data. Supports MFA with TOTP code. You can use this actor if you need to access website with authentication.

0.0 (0)

Pricing

Pay per usage

Total users

Monthly users

Runs succeeded

>99%

Last modified

a month ago

Automation

Developer tools

You can access the Session/Login 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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

Using Session/Login Extractor via Model Context Protocol (MCP) server

MCP server lets you use Session/Login Extractor 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 Session/Login Extractor 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": {
7      "steps": [
8            {
9                  "action": "type",
10                  "selector": "#email",
11                  "value": "..."
12            },
13            {
14                  "action": "type",
15                  "selector": "#password",
16                  "value": "..."
17            },
18            {
19                  "action": "click",
20                  "selector": "#submit"
21            }
22      ],
23      "cookieDomains": [],
24      "gotoTimeout": 30,
25      "proxyConfiguration": {
26            "useApifyProxy": true
27      },
28      "storageName": "SESSION_DATA"
29},
30    "name": "pragmaticcoders/session-login-extractor"
31  }
32}'

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

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for Session/Login Extractor

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",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "pragmaticcoders/session-login-extractor"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

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.

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