Website Text Scraping to CSV

I need a web scraper to extract all text content from https://itsordable.com/en/kuwait and organize it into a clean CSV file.

Requirements:
- Include ALL visible text from the website
- Clean formatting (remove HTML, fix spacing)
- Categorize content by section type
- Remove duplicates
- Expected output: 200-500+ rows

CSV Structure:
1. Page URL - Full URL of each page
2. Section Type - Header, Pricing, Features, Products, About, Blog, Footer, etc.
3. Content Text - Clean text (no HTML tags), includes all visible text, prices, lists
4. Page Title - Title of each page

Exclusions:
- No images or media files
- No complex analysis or reports
- No manual research

Budget: $30-35 USD MAX (Fixed Price)
Timeline: 2-3 hours MAX

Use automated scraping tools (Python/Scrapy/BeautifulSoup). Looking for experienced scrapers who can deliver clean, organized data quickly.