Python Developer Needed for Web Scraping Automation (Data → Google Sheets/Database)

We're looking for an experienced Python developer to build a reliable web scraping automation that extracts data from [target website(s)] and pushes it automatically into Google Sheets / a database (e.g., Airtable, PostgreSQL). What we need: A Python script (or scheduled bot) that scrapes structured data from a defined set of pages/sites Clean, validated data output — no duplicates, proper formatting Automatic delivery into Google Sheets (via API) or a database of our choice Error handling for site structure changes, rate limits, or blocked requests Ideally scheduled to run automatically (cron, cloud function, or similar) Nice to have: Experience with BeautifulSoup, Scrapy, Selenium, or Playwright Experience with Google Sheets API / gspread Experience handling anti-bot measures (proxies, headers, delays) responsibly Clear documentation so we can maintain/adjust the script later To apply, please include: A similar scraping project you've completed (link or brief description) Your approach to handling sites that may change structure or block scrapers Your estimated timeline for a first working version