Car Specs & Images Database
Budget: $2 – $8 USD
We are building a comprehensive automotive database and are looking for a detail-oriented freelancer to collect and structure car data along with images.
The goal is to create a clean, well-organized dataset of car brands, models, generations, and their technical specifications.
Responsibilities:
Collect automotive data (Brand → Model → Generation → Year)
Gather full technical specifications, including:
Engine (type, power, torque)
Transmission
Fuel consumption
Dimensions
Performance (0-100 km/h, top speed, etc.)
Find and attach high-quality images for each car (preferably multiple angles)
Ensure data accuracy and consistency
Organize all data into a structured format (Excel / Google Sheets / CSV)
Data Structure Example:
Brand
Model
Generation
Production Years
Engine Specs
Horsepower
Torque
Fuel Type
Transmission
Drive Type
Body Type
Image URLs (multiple)
Requirements:
Experience with data scraping / data entry
Familiarity with automotive terminology
Ability to work with structured datasets (Excel, Google Sheets, CSV)
Attention to detail (very important)
Basic understanding of image sourcing (no broken links, consistent quality)
Bonus Skills (Preferred):
Experience with web scraping tools (Python, BeautifulSoup, Scrapy, etc.)
Previous work with automotive datasets
Ability to automate part of the process
The goal is to create a clean, well-organized dataset of car brands, models, generations, and their technical specifications.
Responsibilities:
Collect automotive data (Brand → Model → Generation → Year)
Gather full technical specifications, including:
Engine (type, power, torque)
Transmission
Fuel consumption
Dimensions
Performance (0-100 km/h, top speed, etc.)
Find and attach high-quality images for each car (preferably multiple angles)
Ensure data accuracy and consistency
Organize all data into a structured format (Excel / Google Sheets / CSV)
Data Structure Example:
Brand
Model
Generation
Production Years
Engine Specs
Horsepower
Torque
Fuel Type
Transmission
Drive Type
Body Type
Image URLs (multiple)
Requirements:
Experience with data scraping / data entry
Familiarity with automotive terminology
Ability to work with structured datasets (Excel, Google Sheets, CSV)
Attention to detail (very important)
Basic understanding of image sourcing (no broken links, consistent quality)
Bonus Skills (Preferred):
Experience with web scraping tools (Python, BeautifulSoup, Scrapy, etc.)
Previous work with automotive datasets
Ability to automate part of the process
Related categories:
Python
Excel
Web Scraping
Automotive
Data Mining
Data Scraping
Google Sheets
Data Management