↪ Web Scraping

Utilizing automation and web scraping technologies, our project, Radiux, centers on the innovative use of the pump.fun protocol through a Telegram bot. This bot filters and analyzes data from the pump.fun website to facilitate informed trading decisions based on dynamic market conditions.

Disclaimer: When engaging in web scraping, it is crucial to adhere to ethical and legal standards. Verify that the website permits scraping and ensure compliance with all applicable laws.

For the technical backbone of Radiux, we employ Node.js and JavaScript, taking advantage of libraries like Axios for basic data retrieval and Puppeteer for more complex tasks including automation and interactive behavior.

Introduction to Web Scraping for Radiux

Before diving into coding, a solid grasp of JavaScript, Node.js, and the DOM (Document Object Model) is recommended. These foundational skills will significantly enhance your ability to implement and troubleshoot our web scraping solutions.

Setting Up the Radiux Scraper

Start by creating a dedicated directory for your Radiux scraper:

mkdir radiux-scraper
cd radiux-scraper

Initialize a new Node.js project:

npm init -y

This command generates a package.json file. Edit this file to include Puppeteer as a dependency:

{
  "name": "radiux-scraper",
  "version": "1.0.0",
  "main": "index.js",
  "license": "ISC",
  "dependencies": {
    "puppeteer-core": "^22.10.0",
    "axios": "^1.7.2",
    "ws": "^8.17.0"
  },
  "type": "module"
}

Make sure to set your project to support ES6 modules by adding "type": "module" in your configuration.

Install Puppeteer to facilitate browser automation:

bashCopy codenpm install puppeteer

Implementing the Scraper

The primary objective is to extract targeted data from the pump.fun website. Here's how to set up your first scraper:

javascriptCopy codeimport puppeteer from "puppeteer";

const scrapePumpFun = async () => {
  const browser = await puppeteer.launch({
    headless: false, 
    defaultViewport: null
  });

  const page = await browser.newPage();
  await page.goto("https://pump.fun/", { waitUntil: "domcontentloaded" });

  
  const data = await page.evaluate(() => {
    
    const tokens = Array.from(document.querySelectorAll(".token-info"));
    return tokens.map(token => {
      return {
        redacted: token.redacted()
        redacted: token.redacted()
        redacted: token.redacted()
        redacted: token.redacted()
      };
    });
  });

  console.log(data);
  await browser.close();
};

scrapePumpFun();

Extending Functionality

This scraper setup is just the beginning. By extending the scrapePumpFun function, you can implement custom filters and actions, such as buying tokens when certain conditions are met, fully aligning with the project's goal of automation