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  • How can I extract public record details from PublicRecordsNow.com?

    Posted by Agrafena Oscar on 12/20/2024 at 6:35 am

    Scraping public record details from PublicRecordsNow.com using Java can be an effective way to collect structured information for research or data analysis. By using libraries like JSoup for parsing and Apache HttpClient for making HTTP requests, Java provides a robust solution for web scraping. This process involves sending a GET request to the target page, parsing the HTML structure, and extracting relevant fields such as names, addresses, and other publicly available information. Careful inspection of the website’s structure is necessary to identify the correct tags and elements for data extraction. Below is a Java example demonstrating how to scrape data from PublicRecordsNow.com.

    import org.jsoup.Jsoup;
    import org.jsoup.nodes.Document;
    import org.jsoup.nodes.Element;
    import org.jsoup.select.Elements;
    public class PublicRecordsScraper {
        public static void main(String[] args) {
            try {
                String url = "https://www.publicrecordsnow.com/";
                Document document = Jsoup.connect(url).userAgent("Mozilla/5.0").get();
                Elements records = document.select(".record-card");
                for (Element record : records) {
                    String name = record.select(".name").text().isEmpty() ? "Name not available" : record.select(".name").text();
                    String address = record.select(".address").text().isEmpty() ? "Address not available" : record.select(".address").text();
                    String phone = record.select(".phone").text().isEmpty() ? "Phone not available" : record.select(".phone").text();
                    System.out.println("Name: " + name + ", Address: " + address + ", Phone: " + phone);
                }
            } catch (Exception e) {
                e.printStackTrace();
            }
        }
    }
    

    This script sends an HTTP GET request to PublicRecordsNow.com and extracts name, address, and phone details from the page. It provides default values for missing elements, ensuring the script doesn’t break when certain information isn’t available. Pagination can be handled by detecting and navigating through “Next” page links to ensure a complete dataset. Random delays and user-agent rotation reduce the likelihood of detection and blocking. Storing the extracted data in a structured format such as JSON or a database simplifies analysis and long-term storage.

    Marina Ibrahim replied 2 days, 17 hours ago 2 Members · 1 Reply
  • 1 Reply
  • Marina Ibrahim

    Member
    12/20/2024 at 7:23 am

    Adding pagination to the scraper is crucial for gathering comprehensive data from PublicRecordsNow.com. The site often displays a limited number of records per page, so navigating through all available pages ensures that no data is missed. This can be done by identifying the “Next” button and programmatically fetching each subsequent page. Adding a delay between page requests mimics human behavior and reduces the risk of detection. With proper pagination handling, the scraper becomes more effective in collecting complete datasets.

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