Cheerio Scraper

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "startUrls": [
12        {
13            "url": "https://crawlee.dev"
14        }
15    ],
16    "globs": [
17        {
18            "glob": "https://crawlee.dev/*/*"
19        }
20    ],
21    "pseudoUrls": [],
22    "excludes": [
23        {
24            "glob": "/**/*.{png,jpg,jpeg,pdf}"
25        }
26    ],
27    "linkSelector": "a[href]",
28    "pageFunction": async function pageFunction(context) {
29        const { $, request, log } = context;
30    
31        // The "$" property contains the Cheerio object which is useful
32        // for querying DOM elements and extracting data from them.
33        const pageTitle = $('title').first().text();
34    
35        // The "request" property contains various information about the web page loaded. 
36        const url = request.url;
37        
38        // Use "log" object to print information to actor log.
39        log.info('Page scraped', { url, pageTitle });
40    
41        // Return an object with the data extracted from the page.
42        // It will be stored to the resulting dataset.
43        return {
44            url,
45            pageTitle
46        };
47    },
48    "proxyConfiguration": {
49        "useApifyProxy": true
50    },
51    "initialCookies": [],
52    "additionalMimeTypes": [],
53    "preNavigationHooks": `// We need to return array of (possibly async) functions here.
54        // The functions accept two arguments: the "crawlingContext" object
55        // and "requestAsBrowserOptions" which are passed to the `requestAsBrowser()`
56        // function the crawler calls to navigate..
57        [
58            async (crawlingContext, requestAsBrowserOptions) => {
59                // ...
60            }
61        ]`,
62    "postNavigationHooks": `// We need to return array of (possibly async) functions here.
63        // The functions accept a single argument: the "crawlingContext" object.
64        [
65            async (crawlingContext) => {
66                // ...
67            },
68        ]`,
69    "customData": {}
70};
71
72// Run the Actor and wait for it to finish
73const run = await client.actor("apify/cheerio-scraper").call(input);
74
75// Fetch and print Actor results from the run's dataset (if any)
76console.log('Results from dataset');
77console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
78const { items } = await client.dataset(run.defaultDatasetId).listItems();
79items.forEach((item) => {
80    console.dir(item);
81});
82
83// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs