Create Scraper for KSL.com Classifieds Using Headless Chrome with Puppeteer in Python 3 -- 2

We need a scraper for KSL classifieds ([login to view URL]). The scraper needs to use Puppeteer and Headless Chrome. The scraper needs to be written in Python 3. All requests need to be routed through Crawlera ([login to view URL]) in order to avoid getting banned. We already have a subscription and API keys for this. The scraper needs to accept the following search / filter parameters: keyword min price max price category seller type listing posted timeframe The scraper also needs to be able to run without any search parameters. We already have a Google Cloud Platform Virtual Machine (Google Compute Engine Virtual Machine) Debian instance. This scraper needs to run on it. We already have a MySQL 2nd Gen 5.7 instance running on Google Cloud Platform. The scraper needs to write all results to this database. The scraper needs to store the following attributes about each individual listing in our MySQL database: title location datetime posted price category description number of page views number of favorites listing number The scraper needs to run on a schedule (every 15 minutes, for example). This schedule needs to be modifiable if we want to change it later. We need the code. We will run the spider to scrape all listings and run continuously on our Google Compute Engine instance. The scraper needs to update existing listings in the database when listing properties on [login to view URL] change. Example: a cell phone is posted for $400. The scraper finds the cell phone and stores it in the database. Two days later, the seller changes the price to $350. The scraper sees the ad again, sees that a listing attribute (the price) has changed, and updates the row in the database.