Python Web Scraping Script for 6 Platforms (Amazon, MercadoLibre, IG, FB, Vinted, TikTok)

I'm looking for an experienced developer to write clean, modular Python source code to extract public product, image, and seller data from Amazon (global), MercadoLibre (LATAM), Instagram, Facebook, Vinted, and TikTok. I'm looking for the source code only—I will run and schedule the scrapers independently in my own environment. Technical Scope: Data: Extract public facts only (product titles, prices, images, seller details, public engagement metrics). Compliance & Ethics: Non-login methods only. No password gate bypassing, no private PII harvesting, and respectful request pacing. Anti-Bot Resilience: Dynamic headers, user-agent rotation, proxy/VPN support, and modular selectors for easy updates when site layouts change. Delivery: Well-documented Python code delivering clean JSON/CSV outputs. Payment released via milestone upon local execution verification across all platforms. Proposal Requirement: To filter out generic AI template proposals, please include a brief 2-sentence response answering: Which proxy/headers strategy do you recommend using for MercadoLibre and Amazon to avoid TLS/anti-bot blocks without incurring massive monthly proxy costs, and what framework (Scrapy, Playwright, Selenium, etc.) will you build it on? Preferably, the bid must be under 150 words total.