Python Flask Microservice for Scraping Temu Product Data

I’m looking for an experienced developer to build a lightweight Python Flask microservice that can scrape detailed product data from Temu.com.

Core Functionality:

Build a REST API endpoint that accepts one or more Temu product URLs
Fetch and parse the product page to extract all visible data including:
Product name
Full description
Price
Availability
Ratings
Images
Variations and any other relevant fields
Return the scraped data as clean, human-readable (pretty-printed) JSON in the API response
Persist the same JSON data into a local SQLite database with a timestamp for future querying

Midway Requirement:
To ensure you have read the full description, include the word "TEMUS" in your proposal. Bids without this will be rejected.

Technical Requirements:

Python 3.x with Flask (FastAPI is acceptable if strongly preferred)
Clean architecture with separation between:
Scraping logic
Data models
API routes
Implement respectful scraping practices (rate limiting, retries, and handling blocks/CAPTCHAs gracefully)
Use SQLAlchemy (or raw SQL) with a simple schema and include migration setup
Code should be clean, modular, and well-documented

Acceptance Criteria:

Calling /scrape?url=... returns complete product data in formatted JSON
The same data is successfully stored as a new row in SQLite
Project runs with python app.py without extra configuration

Additional Notes:

Preference will be given to developers who have prior experience scraping Temu and can share a working demo via a live URL
Include a brief README with setup steps, environment variables, and a simple one-line cURL test
No dashboard, analytics, or external storage required at this stage
Focus is on accurate data extraction and clean, maintainable code

Important:
Automated bids will be rejected. Only serious and relevant proposals will be considered.

Looking forward to working with skilled developers!