# Actor Builder (`handleco-app/actor-builder`) Actor

- **URL**: https://apify.com/handleco-app/actor-builder.md
- **Developed by:** [handleco-app](https://apify.com/handleco-app) (community)
- **Categories:** AI, Developer tools, Agents
- **Features:** Full permissions
- **Stats:** 16 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## 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/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Actor Builder 🤖

AI-powered actor builder that uses Claude Agent SDK to create and publish Apify actors from natural language prompts.

### How It Works

1. You provide a description of the actor you want to build
2. Claude Agent SDK analyzes your requirements
3. It generates all necessary files (main.ts, actor.json, input_schema.json, Dockerfile, etc.)
4. The actor is automatically published to your Apify account

### Input

| Field | Type | Description |
|-------|------|-------------|
| `prompt` | string | Description of the actor you want to build |
| `actorName` | string | Name for the new actor (lowercase, hyphens only) |

### Environment Variables

| Variable | Description |
|----------|-------------|
| `CLAUDE_CODE_OAUTH_TOKEN` | OAuth token for Claude Agent SDK |
| `APIFY_TOKEN` | Your Apify API token (automatically available on Apify platform) |

### Example

**Input:**

```json
{
  "prompt": "Create a web scraper that takes a URL and extracts all links from the page. Return the links as an array with their text and href.",
  "actorName": "link-extractor"
}
```

**Result:**

- A new actor called "link-extractor" is created and published to your Apify account
- The actor includes all necessary files and is ready to use

### Generated Actor Structure

The builder creates actors with:

- `src/main.ts` - Main actor code using Apify SDK
- `.actor/actor.json` - Actor metadata
- `.actor/input_schema.json` - Input schema
- `package.json` - Dependencies
- `Dockerfile` - Bun-based container
- `tsconfig.json` - TypeScript config
- `README.md` - Documentation

### Development

```bash
## Install dependencies
bun install

## Build
bun run build

## Run locally
bun run dev

## Deploy to Apify
apify push
```

### Tech Stack

- TypeScript + Bun runtime
- Claude Agent SDK for AI-powered code generation
- Apify SDK for actor functionality

# Actor input Schema

## `prompt` (type: `string`):

Describe the actor you want to build. Be specific about what it should do, what inputs it needs, and what outputs it should produce.

## `actorName` (type: `string`):

Name for the new actor (lowercase, no spaces, use hyphens)

## `claudeOauthToken` (type: `string`):

Your Claude Code OAuth token. Can also be set as CLAUDE_CODE_OAUTH_TOKEN environment variable.

## Actor input object example

```json
{
  "prompt": "Create a simple web scraper actor that takes a URL as input and extracts all links from the page",
  "actorName": "my-new-actor"
}
```

# 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 = {
    "prompt": "Create a simple web scraper actor that takes a URL as input and extracts all links from the page",
    "actorName": "my-new-actor"
};

// Run the Actor and wait for it to finish
const run = await client.actor("handleco-app/actor-builder").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 = {
    "prompt": "Create a simple web scraper actor that takes a URL as input and extracts all links from the page",
    "actorName": "my-new-actor",
}

# Run the Actor and wait for it to finish
run = client.actor("handleco-app/actor-builder").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 '{
  "prompt": "Create a simple web scraper actor that takes a URL as input and extracts all links from the page",
  "actorName": "my-new-actor"
}' |
apify call handleco-app/actor-builder --silent --output-dataset

```

## MCP server setup

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

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/T6RjrlxodAOnmI5cf/builds/PTyZ1V2G9BALGDKz4/openapi.json