Data Scraper Needed to Collect Phone Buyback Prices & Pricing Rules

I am building a phone buyback comparison platform called TelefoonPrijs. For this project, I need a data scraping / data extraction specialist to collect and structure pricing data from phone buyback websites. The goal is NOT to build the website or UI. I only need help collecting the data and understanding the pricing logic of each buyback company. Scope: - Scrape or manually extract pricing data from multiple phone buyback companies - Start with Apple iPhones only - Collect base prices per iPhone model and storage size - Identify price deductions for different device conditions - Identify rules for defects such as: - broken screen - damaged back glass - battery health - Face ID issues - camera defects - device not powering on - missing SIM tray - iCloud lock - water damage - Identify when a company refuses to buy a device - Structure all data in CSV, Excel, JSON, or database-ready format - Document the pricing logic for each company clearly I already have a list of around 15 phone buyback companies, including Swappie and Fixje. The full list will be provided. Important: Each company may calculate prices differently. Some use a base price and subtract amounts for defects. Others may use predefined condition categories. I need the freelancer to investigate and document this clearly. Deliverables: 1. Structured dataset with prices per company, model, storage, and condition 2. Pricing rules / deductions per company 3. Acceptance and rejection rules per company 4. Notes on websites that are difficult to scrape or require manual extraction 5. Clean Python scraping scripts where possible 6. Instructions on how to rerun the scripts Ideal candidate: - Experienced with Python scraping - Comfortable with JavaScript-heavy websites - Experience with Scrapy, Playwright, Selenium, Requests, Pandas - Able to structure messy pricing data clearly - Able to think logically about pricing rules, not just scrape raw text Please include examples of similar price scraping, marketplace scraping, or product data extraction projects.