Python Web Scraper for Peptide Platform

I run a peptide price comparison platform that tracks pricing across 85 retail vendors and 70 compounds. I need a Python developer to build an automated scraping pipeline that replaces my current manual process. **What I need:** - Playwright-based scraper (Python) that visits each vendor's product pages and extracts: product name, vial size, quantity, and price - Handles JavaScript-rendered pages, dropdown size selectors, tiered/multi-vial pricing, sale prices, and OOS status - Outputs data in a simple pipe-delimited format I already use: `VendorName | PeptideName | mg/vial | # vials | price | notes` - Runs on a schedule (daily) — cron job or simple task runner is fine - One script per vendor OR a configurable generic scraper — I'm open to either approach - No proxy rotation or anti-bot infrastructure needed — these are small independent retail sites with no meaningful bot protection **What I'll provide:** - Full vendor list (85 URLs) and compound list (70 products) - Exact output format spec and field definitions - Example output from manual scrapes so you know exactly what I expect - Active communication and fast feedback **Stack:** Python + Playwright preferred. Output is flat text — no database required on your end. **Deliverables:** Working scripts I own outright, basic README, and a short handoff call to walk me through running them. Looking for someone who can move fast and communicate clearly. Please share examples of similar scraping work.