WebScraping Using Puppeteer

Coming Soon…

// generateUserAgent.ts
export function generateUserAgents(count: number): string[] {
    const userAgents: string[] = [];
    const baseOS = [
        "X11; Linux i686",
        "X11; Linux x86_64",
        "X11; Ubuntu i686",
        "X11; Ubuntu x86_64",
        "X11; Fedora i686",
        "Macintosh; Intel Mac OS X 10_15_7",
        "Macintosh; Intel Mac OS X 13_5",
        "Macintosh; Intel Mac OS X 14_0",
        "Windows NT 10.0; Win64; x64",
        "Windows NT 11.0; Win64; x64"
    ];
    // const baseChromeVersion = 111;
    const subVersionMax = 500;
    const webkitVersion = "537.36";
    const safariVersion = "537.36";

    for (let i = 0; i < count; i++) {
        const os = baseOS[Math.floor(Math.random() * baseOS.length)];
        const chromeVersionMajor = Math.floor(Math.random() * (115 - 111 + 1)) + 111;
        const chromeVersion = `${chromeVersionMajor}.${Math.floor(
            Math.random() * subVersionMax
        )}.${Math.floor(Math.random() * 100)}`;
        const userAgent = `Mozilla/5.0 (${os}) AppleWebKit/${webkitVersion} (KHTML, like Gecko) Chrome/${chromeVersion} Safari/${safariVersion}`;
        userAgents.push(userAgent);
    }
    return userAgents;
}

// scrapTwitter.ts

puppeteer.use(StealthPlugins());
puppeteer.use(RandomUserAgent({
    customFn: () => new UserAgent().random().toString(),
}));
async function coreLogic(page: Page, url: string) {
    await page.goto(url, { waitUntil: 'networkidle2' });
    await new Promise(resolve => setTimeout(resolve, Math.floor(Math.random() * 3000) + 1000));
    const content = await page.content();
    const $ = cheerio.load(content);
    const tweetText = $('div[data-testid="tweetText"]').text();
    const tweetUser = $('div[data-testid="User-Name"]').text();
    const tweetPhotos: Array<string> = [];
    $('div[data-testid="tweetPhoto"] > img').each((_, element) => {
        const photoUrl = $(element).attr('src');
        if (photoUrl) {
            tweetPhotos.push(photoUrl);
        }
    });
    const username_and_id = tweetUser.split('@');
    return { tweetUrl: url, username: username_and_id[0], twitterUsername: '@' + username_and_id[1], tweetText, tweetPhotos }
}
async function scrapTwitter(url: string, headless: boolean) {
    const browser = await puppeteer.launch({
        headless: headless,
    });
    const page = await browser.newPage();
    await page.setExtraHTTPHeaders({
        'Accept-Language': 'en-US,en;q=0.9',
        'Referer': 'https://www.google.com/',
    });
    await page.setViewport({
        width: Math.floor(Math.random() * (1920 - 1024)) + 1024,
        height: Math.floor(Math.random() * (1080 - 768)) + 768,
    });
    const generatedUserAgents = generateUserAgents(100);
    const randomUserAgent =
        generatedUserAgents[Math.floor(Math.random() * generatedUserAgents.length)];
    console.log("Random User-Agent:", randomUserAgent);
    await page.setUserAgent(randomUserAgent);
    await page.goto("https://httpbin.io/user-agent");
    const bodyText1 = await page.evaluate(() => {
        return document.body.innerText;
    });
    console.log(bodyText1);
    const returnScrapData = await coreLogic(page, url);
    await browser.close();
    return returnScrapData;
}
(async () => {
    const dataScrap = await scrapTwitter('https://x.com/juberti/status/1861123495897465273', true);
    console.log({ dataScrap });
})();