Product Data Scraper Build

I need a Scrapy-based spider that reliably collects complete product information across three sources I specify: traditional e-commerce sites, larger multi-vendor marketplaces, and a small set of social-media storefront pages.

For every product it reaches, the crawler must capture exactly these fields and nothing less:
• Product name
• Price (in the currency displayed)
• Full product description

The code should be clean Python 3, using Scrapy pipelines for any post-processing and exporting the results in both CSV and JSON. Please structure it so I can add or swap domains later with minimal edits—ideally via a single config or a domains.py file.

Acceptance criteria
1. One command deploys the crawl for each domain without errors.
2. Output files include all three fields for at least 95 % of product URLs in a provided test list.
3. Your README explains setup, required Python packages, and how to extend the spider to new platforms.

I can run quick tests and give you prompt feedback, so feel free to suggest milestones that break the work into manageable chunks.