Python Flask XXXX XXXX Scraping Temu Product Data

Budget: $30 - $250

I’m looking for an experienced developer to build a lightweight Python Flask XXXX XXXX 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/s 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!