How to use the apify.CheerioCrawler function in apify

Apify.main(async () => {
    // Create an instance of the RequestList class that contains a list of URLs to crawl.
    // Here we download and parse the list of URLs from an external file.
    const requestList = new Apify.RequestList({
        sources: [{ requestsFromUrl: CSV_LINK }],
    });
    await requestList.initialize();

    // Create an instance of the CheerioCrawler class - a crawler
    // that automatically loads the URLs and parses their HTML using the cheerio library.
    const crawler = new Apify.CheerioCrawler({
        // Let the crawler fetch URLs from our list.
        requestList,

        // The crawler downloads and processes the web pages in parallel, with a concurrency
        // automatically managed based on the available system memory and CPU (see AutoscaledPool class).
        // Here we define some hard limits for the concurrency.
        minConcurrency: 10,
        maxConcurrency: 50,

        // On error, retry each page at most once.
        maxRequestRetries: 1,

        // Increase the timeout for processing of each page.
        handlePageTimeoutSecs: 60,

        // This function will be called for each URL to crawl.

systemStatusOptions: {
                    // Cheerio does a lot of sync operations, so we need to
                    // give it some time to do its job.
                    maxEventLoopOverloadedRatio: MAX_EVENT_LOOP_OVERLOADED_RATIO,
                },
            },
            requestOptions: {
                headers: {},
            },
        };

        if (this.cookieJar) {
            options.requestOptions.cookieJar = this.cookieJar;
        }

        this.crawler = new Apify.CheerioCrawler(options);

        return this.crawler;
    }