Forms

Copy for LLM

This example demonstrates how to use PuppeteerCrawler to automatically fill and submit a search form to look up repositories on GitHub using headless Chrome / Puppeteer. The actor first fills in the search term, repository owner, start date and language of the repository, then submits the form and prints out the results. Finally, the results are saved either on the Apify platform to the default dataset or on the local machine as JSON files in ./apify_storage/datasets/default.

To run this example on the Apify Platform, select the apify/actor-node-puppeteer-chrome image for your Dockerfile.

const Apify = require('apify');

Apify.main(async () => {
    // Launch the web browser.
    const browser = await Apify.launchPuppeteer();

    // Create and navigate new page
    console.log('Open target page');
    const page = await browser.newPage();
    await page.goto('https://github.com/search/advanced');

    // Fill form fields and select desired search options
    console.log('Fill in search form');
    await page.type(
        '#adv_code_search input.js-advanced-search-input',
        'apify-js',
    );
    await page.type('#search_from', 'apify');
    await page.type('#search_date', '>2015');
    await page.select('select#search_language', 'JavaScript');

    // Submit the form and wait for full load of next page
    console.log('Submit search form');
    await Promise.all([
        page.waitForNavigation(),
        page.click('#adv_code_search button[type="submit"]'),
    ]);

    // Obtain and print list of search results
    const results = await page.$$eval('div.f4.text-normal a', (nodes) =>
        nodes.map((node) => ({
            url: node.href,
            name: node.innerText,
        })),
    );
    console.log('Results:', results);

    // Store data in default dataset
    await Apify.pushData(results);

    // Close browser
    await browser.close();
});