Web scrape of 5-7 online retailers using Ruby Mechanize/Watir/Nokogiri (repost)

I run a data analytics consultancy in Sydney, Australia. I have a requirement to setup weekly scrapes of at least 5 large (50,000+ SKUs) online retail websites. The project will be split to scrape a single website to start with, extending to the others assuming satisfaction with the work completed. Technical requirements: - Scrapes must be written in Ruby using Mechanize/Nokogiri or Watir as appropriate - Where possible, avoiding JS and scrape via direct HTTP requests using Mechanize - i.e requires strong skills in tracing/debugging HTTP requests/responses - Alternatively, load page using Watir webdriver then pass off cookies to Mechanize - Last resort would be brute force Watir webdriver approach (scroll, point, click, etc) - Implement utilities for use of proxy / IP rotation where required (access to pool of anonymous IP addresses will be provided) - Scheduling via cron job to run at least weekly - Must use object oriented approach and design in a DRY manner so that code can be leveraged for future scrapes of additional sites and ensure future code manageability - Must use Activerecord to persist records scraped - Must implement logging (production logging to file + verbose debug option to STDOUT) Personal requirements: - Must be a great communicator both in terms of coding concepts and project management - Good at clearly laying out the workplan, milestones and progress - Must be available for 2x daily stand-up calls with Sydney AUS (timing TBC at mutually agreed time) - Must be able to demonstrate prior experience with ruby web scrape projects similar to above - Code must be well-structured and well-documented / commented Opportunity for ongoing Ruby backend and RoR web app build if this project is a success.