🕷️️ Job Radar • SCRAPING

freelancer.com 🟠 2026-05-08

🔹 Compile European Vehicle Data for AI Showroom Simulation
👤 Client: 🇧🇩 Fulbari, Bangladesh Member since 2021-06-11
💰 Price: $33 Average bid
🚩 Problem: Ensure clean, consistent vehicle data with complete technical specifications and verified VIN/FIN numbers.
📦 Existing: Not specified

Specifications:

[Target] Compile datasets for buses, tractors, wheel loaders, excavators, and large tractor trailers from specific brands in Europe (excluding Germany).
[Method] Collect data through web scraping and image processing. Verify VIN/FIN numbers via Google search.
[UI/UX] Not applicable
[Stack] Python, BeautifulSoup, Selenium, OpenCV, Pandas, JSON
[Security] Ensure secure handling of sensitive information during data collection and storage.
[Format] CSV, Excel, or JSON; structured image folders per vehicle with consistent naming convention.

Workflow:

1. Categorize vehicles by type (buses, tractors, etc.) and brand (Mercedes-Benz, MAN, Setra, etc.).
2. Define web scraping targets for each category and brand.
3. Use Python with BeautifulSoup or Selenium to scrape vehicle listings from relevant websites.
4. Extract images of vehicles, focusing on front view, side view, rear view, interior (if available), and type plate/VIN image.
5. Process images by removing background, watermarks, text, adding a clean showroom background, and soft shadow.
6. Validate VIN/FIN numbers: if found online via Google search, discard the dataset; if only visible in the image, proceed with data processing.
7. Extract technical specifications from vehicle descriptions.
8. Store complete datasets (VIN/FIN, images, technical specs) in CSV, Excel, or JSON format.
9. Organize structured image folders per vehicle with consistent naming convention.