Python Developer for Car Rental Web Scraper

We are looking for an experienced Python developer to build a robust web scraper for a car rental platform.
Project Overview
The objective of this project is to develop a scraper capable of accessing a car rental website and extracting all publicly available vehicle rental offers across every location available in the country.
The scraper must collect detailed information for each available vehicle and rental offer, including but not limited to:
Vehicle name/model
Vehicle category/type
Daily/weekly/monthly pricing
Rental rates and fees
Taxes or additional charges (if visible)
Availability information
Pickup and return locations
Promotions or discounts
Vehicle specifications/features
Images/URLs (if applicable)
Any other relevant offer details displayed on the website
Technical Requirements
Preferred technologies:
Python
Selenium and/or Playwright
BeautifulSoup, Scrapy, or similar libraries are acceptable if needed
The scraper should:
Navigate dynamically loaded pages
Handle pagination and multiple locations
Work reliably across all available branches/locations nationwide
Be modular, clean, and maintainable
Include error handling and logging
Avoid duplicate records
Generate structured output files automatically
Deliverables
The final delivery must include:
Fully functional scraping script/project
README documentation with:
Installation steps
Dependencies
Configuration instructions
Execution guide
Output generation in:
JSON
Excel (.xlsx)
CSV
Clean and well-structured code ready for execution
Expected Output
The scraper should generate consolidated datasets containing all available offers from the website nationwide.
Nice to Have
Proxy/IP rotation support
CAPTCHA handling strategy
Headless execution support
Scheduling capability
Docker support
Proposal Requirements
Please include in your proposal:
Previous experience with web scraping projects
Technologies/frameworks you would use
Estimated delivery time
Estimated cost
Examples of similar projects (if available)
We are looking for someone with strong experience in scalable scraping solutions and data extraction automation.