Getting Started

Welcome to scrap-ai! This guide is designed to help you set up and begin using the library quickly and efficiently. Whether you're new to the library or just need a refresher, follow these simple steps to get started.

1. Installation

To install scrap-ai, use your preferred package manager. For example:

Using npm:

npm install scrap-ai

Using Yarn:

yarn add scrap-ai

2. Basic Configuration

After installing the library, you'll need to configure it in your project. Start by importing the library and initializing it with your desired options. Here's a basic example:

import ScrapAI from 'scrap-ai';

const config = {
// Replace with your actual configuration options
apiKey: 'your-api-key-here',
maxConcurrentJobs: 5
};

const instance = new ScrapAI(config);

3. Quick Start Example

Let's walk through a simple example that demonstrates the core functionality of scrap-ai. In this example, we'll perform a basic scraping operation and log the result:

import ScrapAI from 'scrap-ai';

const instance = new ScrapAI({
apiKey: 'your-api-key-here',
maxConcurrentJobs: 5
});

// Perform a basic scraping operation
instance.scrape('https://example.com', 'Extract all paragraph text')
.then(result => {
console.log('Scraping successful:', result);
})
.catch(error => {
console.log('Scraping failed:', error);
});

This quick start example shows you how to integrate the library into your project and execute a primary function. As you progress, you can explore more advanced features and customizations.

4. Next Steps

After you have completed the basic setup and experimented with the quick start example, consider the following:

• Dive into Advanced Features: Explore the "Using the Library" section for a deeper understanding of the API and advanced use cases.
• Experiment and Customize: Modify the configuration and try out different functions to see how they can benefit your project.
• Seek Help: If you run into any issues or have questions, check out our FAQs and support resources.

Happy coding, and welcome aboard!