Daily Scraper for Property Auction Website I need an automated script that accesses the page https://www.leilaoimovel.com.br/encontre-seu-imovel daily and extracts all the details of each property—price, full location, area, status, auction number, individual link, and any other fields displayed on the listing. I will successfully deliver the job when: • The code runs in a Linux or Windows environment, preferably in Python (requests + BeautifulSoup, Scrapy, or Playwright; I'm open to other stacks if they offer advantages). • The routine handles website blocks and limits on its own: user-agent rotation, speed control, intelligent back-off, and, if necessary, proxies or a headless browser. • The data is saved in a single CSV file, organized in clear columns and without duplicate records; daily updates should overwrite or add rows as the property changes or becomes new. • There are basic logs (execution time, total items collected, errors) and a simple way to schedule the task, such as cron instructions or Task Scheduler. • The repository/zip includes a quick README explaining the installation, environment variables, and the execution command. If you have previous experience scraping sites that impose restrictions, briefly describe your approach when submitting the proposal. Output information Will sen you via chat box.