Cheerio Scraper

import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with API token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://crawlee.dev"
        }
    ],
    "globs": [
        {
            "glob": "https://crawlee.dev/*/*"
        }
    ],
    "pseudoUrls": [],
    "excludes": [
        {
            "glob": "/**/*.{png,jpg,jpeg,pdf}"
        }
    ],
    "linkSelector": "a[href]",
    "pageFunction": async function pageFunction(context) {
        const { $, request, log } = context;
    
        // The "$" property contains the Cheerio object which is useful
        // for querying DOM elements and extracting data from them.
        const pageTitle = $('title').first().text();
    
        // The "request" property contains various information about the web page loaded. 
        const url = request.url;
        
        // Use "log" object to print information to actor log.
        log.info('Page scraped', { url, pageTitle });
    
        // Return an object with the data extracted from the page.
        // It will be stored to the resulting dataset.
        return {
            url,
            pageTitle
        };
    },
    "proxyConfiguration": {
        "useApifyProxy": true
    },
    "initialCookies": [],
    "additionalMimeTypes": [],
    "preNavigationHooks": `// We need to return array of (possibly async) functions here.
        // The functions accept two arguments: the "crawlingContext" object
        // and "requestAsBrowserOptions" which are passed to the `requestAsBrowser()`
        // function the crawler calls to navigate..
        [
            async (crawlingContext, requestAsBrowserOptions) => {
                // ...
            }
        ]`,
    "postNavigationHooks": `// We need to return array of (possibly async) functions here.
        // The functions accept a single argument: the "crawlingContext" object.
        [
            async (crawlingContext) => {
                // ...
            },
        ]`,
    "customData": {}
};

(async () => {
    // Run the Actor and wait for it to finish
    const run = await client.actor("apify/cheerio-scraper").call(input);

    // Fetch and print Actor results from the run's dataset (if any)
    console.log('Results from dataset');
    const { items } = await client.dataset(run.defaultDatasetId).listItems();
    items.forEach((item) => {
        console.dir(item);
    });
})();