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Login Session

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Developed by

Paulo Cesar

Get localStorage, sessionStorage and cookies from logins for usage in other actors.

0.0 (0)

Pricing

Pay per usage

Monthly users

Runs succeeded

19%

Last modified

4 years ago

Developer tools

Open source

You can access the Login Session 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=pocesar/login-session"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Login Session via Model Context Protocol (MCP) server

MCP server lets you use Login Session 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 Login Session 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      "userAgent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.122 Safari/537.36",
8      "sessionConfig": {
9            "storageName": "login-sessions",
10            "maxAgeSecs": 3600,
11            "maxUsageCount": 100,
12            "maxPoolSize": 100
13      },
14      "steps": [
15            {
16                  "username": {
17                        "selector": "input#email"
18                  },
19                  "password": {
20                        "selector": "input#pass"
21                  },
22                  "submit": {
23                        "selector": "input[type=\\"submit\\"]"
24                  },
25                  "failed": {
26                        "selector": "[role=\\"alert\\"]"
27                  },
28                  "waitForMillis": 5000
29            }
30      ],
31      "cookieDomains": [],
32      "gotoTimeout": 30,
33      "proxyConfiguration": {
34            "useApifyProxy": true
35      },
36      "extraUrlPatterns": []
37},
38    "name": "pocesar/login-session"
39  }
40}'

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 Login Session

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        "pocesar/login-session"
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.

Pricing

Pricing model

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.

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