Actor in Go Example

A template for building Apify actors using Go. This example demonstrates the core structure and patterns needed to create reliable, production-ready web scraping and automation tools on the Apify platform.

Key Features

• Go-Based Foundation: Built with the official apify/sdk-go library, providing a robust framework for actor development.
• Structured Project Layout: Includes a standard main.go entry point, go.mod for dependencies, and a pre-configured Dockerfile for seamless deployment.
• Platform Integration: Handles Apify-specific concerns like configuration, key-value stores, and dataset management out of the box.
• Example Logic: Contains simple, runnable code that processes input, performs a mock task (like fetching a webpage), and stores structured results.

How to Use

You can run this actor directly on the Apify platform or build and develop it locally.

On Apify Platform

1. Fork this actor into your own account on the Apify platform.
2. Configure the required input (see Input section below).
3. Click Run to start the execution. You can monitor logs and results in the console.

Local Development

1. Prerequisites: Ensure you have Go and Docker installed.
2. Clone and Build:
   bash git clone <repository-url> cd apify-go-actor-example go mod download
3. Test Locally: Use the Apify SDK's local proxy to simulate the platform environment:
   bash go run main.go
4. Deploy: Build the Docker image and push it to your Apify actor's registry, or use the Apify CLI for deployment.

Input

Configure the actor using a JSON input object. The primary field is:

• targetUrl (string, required): The starting URL for the actor's task (e.g., "https://example.com").

Example input:

{
  "targetUrl": "https://www.apify.com?fpr=python_automation"
}

Output

The actor stores its results in the default dataset associated with the run. Each item in the dataset is a JSON object containing data extracted or processed during execution.

Example output items:

{
  "url": "https://www.apify.com?fpr=python_automation",
  "title": "Apify - Web Scraping, Data Extraction and Automation",
  "completedAt": "2023-10-26T12:00:00.000Z"
}

You can access the results via the Apify platform console, API, or by downloading them as JSON, CSV, or other formats.