# My Actor (`millyjojo/my-actor`) Actor

Still don't know either.

- **URL**: https://apify.com/millyjojo/my-actor.md
- **Developed by:** [MillyJoJo](https://apify.com/millyjojo) (community)
- **Categories:** AI
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

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, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## X (Twitter) Auto Liker Actor

An automated Apify Actor that monitors your X (Twitter) feed and likes posts from specified target handles using Playwright with optional Brave persistent context or cookie authentication.

### Features

- **Handle Matching**: Case-insensitive matching of X handles (`@user1`, `user2`, etc.).
- **Authentication**: Supports persistent browser profile (`userDataDir`), custom executable path (e.g. Brave browser), or standard JSON cookie injection.
- **Humanized Delays**: Randomized delays between likes (`minDelaySeconds` to `maxDelaySeconds`).
- **Safety Limits**: Max likes safety limit (`maxLikesPerRun`) to prevent rate limits.

### Project Structure

```
apify-x-liker-actor/
├── .actor/
│   ├── actor.json
│   └── input_schema.json
├── src/
│   └── main.js
├── Dockerfile
├── package.json
└── README.md
```

### Running Locally

1. Install dependencies:
   ```bash
   npm install
   ```

2. Run the Actor locally:
   ```bash
   npx apify run
   ```

### Input Configuration

Inputs can be set in `.actor/INPUT.json` when running locally or via the Apify Console.

```json
{
  "targetUsernames": ["@elonmusk", "X"],
  "maxLikesPerRun": 10,
  "minDelaySeconds": 30,
  "maxDelaySeconds": 50,
  "braveExecutablePath": "C:\\Program Files\\BraveSoftware\\Brave-Browser\\Application\\brave.exe",
  "userDataDir": "C:\\Users\\YourUser\\AppData\\Local\\BraveSoftware\\Brave-Browser\\User Data"
}
```

# Actor input Schema

## `targetUsernames` (type: `string`):

List of X handles to match against (one username per line). Supports bulk pasting.

## `cookies` (type: `array`):

JSON cookies array for twitter.com / x.com authentication.

## `headless` (type: `boolean`):

Run browser in headless mode. Turn off (false) to run headful browser (recommended for account safety).

## `maxLikesPerRun` (type: `integer`):

Maximum number of likes before the actor cleanly terminates.

## `minDelaySeconds` (type: `integer`):

Minimum wait time between likes.

## `maxDelaySeconds` (type: `integer`):

Maximum wait time between likes.

## `braveExecutablePath` (type: `string`):

Optional: Path to local Brave binary when running locally on your PC. Leave blank on Apify platform.

## `userDataDir` (type: `string`):

Optional: Path to local persistent profile folder when running locally on your PC. Leave blank on Apify platform.

## Actor input object example

```json
{
  "targetUsernames": "@elonmusk\nX",
  "cookies": [
    {
      "name": "auth_token",
      "value": "YOUR_AUTH_TOKEN_VALUE",
      "domain": ".x.com",
      "path": "/",
      "httpOnly": true,
      "secure": true,
      "sameSite": "Lax"
    },
    {
      "name": "ct0",
      "value": "YOUR_CT0_VALUE",
      "domain": ".x.com",
      "path": "/",
      "httpOnly": false,
      "secure": true,
      "sameSite": "Lax"
    }
  ],
  "headless": false,
  "maxLikesPerRun": 10,
  "minDelaySeconds": 30,
  "maxDelaySeconds": 50
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "cookies": [
        {
            "name": "auth_token",
            "value": "YOUR_AUTH_TOKEN_VALUE",
            "domain": ".x.com",
            "path": "/",
            "httpOnly": true,
            "secure": true,
            "sameSite": "Lax"
        },
        {
            "name": "ct0",
            "value": "YOUR_CT0_VALUE",
            "domain": ".x.com",
            "path": "/",
            "httpOnly": false,
            "secure": true,
            "sameSite": "Lax"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("millyjojo/my-actor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "cookies": [
        {
            "name": "auth_token",
            "value": "YOUR_AUTH_TOKEN_VALUE",
            "domain": ".x.com",
            "path": "/",
            "httpOnly": True,
            "secure": True,
            "sameSite": "Lax",
        },
        {
            "name": "ct0",
            "value": "YOUR_CT0_VALUE",
            "domain": ".x.com",
            "path": "/",
            "httpOnly": False,
            "secure": True,
            "sameSite": "Lax",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("millyjojo/my-actor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "cookies": [
    {
      "name": "auth_token",
      "value": "YOUR_AUTH_TOKEN_VALUE",
      "domain": ".x.com",
      "path": "/",
      "httpOnly": true,
      "secure": true,
      "sameSite": "Lax"
    },
    {
      "name": "ct0",
      "value": "YOUR_CT0_VALUE",
      "domain": ".x.com",
      "path": "/",
      "httpOnly": false,
      "secure": true,
      "sameSite": "Lax"
    }
  ]
}' |
apify call millyjojo/my-actor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,millyjojo/my-actor"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/jLln4OHdRAfGQTfeZ/builds/Lz4GikOVIj2PDuDP7/openapi.json