Che168 Car Database Extraction & Automotive Intelligence System

Introduction

Che168 (汽车之家二手车平台) is one of China’s largest online marketplaces for used cars. It hosts millions of listings with detailed specifications, pricing, seller information, photos, and condition reports.

A client approached Actowiz Solutions with a simple but powerful requirement:

“I need access to the full Che168 car database — vehicle specs, pricing, seller details, images, mileage, and more.”

They needed structured, accurate, large-scale automotive data for:

• Market research
• Pricing intelligence
• Inventory benchmarking
• Buying/selling decision systems
• Automotive analytics dashboards

This case study explains how Actowiz Solutions built a Che168 Car Database Scraping & Intelligence System capable of delivering complete, clean, and continuously updated datasets.

Client Background

The client is an automotive analytics company working across:

• Used-car valuation
• Market trend forecasting
• Dealership support tools
• Pricing optimization
• Real-time competitive insights

They required:

• China-wide vehicle listings
• Model-wise comparison
• Yearly depreciation trends
• Accurate odometer readings
• Seller authenticity verification
• Photo-level car condition intelligence

Che168 was the ideal source — but no direct API exists for full database access.

Challenges

3.1 Massive Data Volume

Che168 hosts millions of listings across:

• Sedans
• SUVs
• Electric vehicles
• Luxury cars
• Commercial vehicles

Extracting this at scale required robust infrastructure.

3.2 Region-Based Listing Segmentation

Car prices and stock vary by:

• Province
• City
• Dealer type
• Seller type

The scraper needed state/city-level mapping.

3.3 Inconsistent Data Format

Different sellers list:

• Different spec fields
• Varying condition reports
• Mixed photo quality
• Optional attributes

Standardizing vehicle specs was essential.

3.4 Real-Time Pricing Fluctuations

Used car prices change almost daily due to:

• Mileage updates
• Seller discounts
• Stock pressure
• Competition

The system needed automatic refresh cycles.

3.5 Avoiding Data Duplication

Same vehicle can appear:

• Under multiple sellers
• In re-posted listings
• In different cities

Actowiz had to detect duplicates via VIN/mileage patterns.

Actowiz Solutions Approach

Actowiz built a complete Che168 Car Database Extraction System supporting:

• Full-site crawling
• Continuous updates
• Vehicle-level normalization
• API + file-based delivery
• Advanced filtering options

Data Fields Captured from Che168

Actowiz extracts over 50+ data points per vehicle:

5.1 Vehicle Information

• Make
• Model
• Year
• Trim
• Variant
• Fuel type
• Engine capacity
• Transmission
• Drive type
• Body type
• Mileage
• Color
• VIN (if visible)
• Registration date

5.2 Pricing Details

• Listed price
• Original price
• Discounted price (if any)
• Price history across refresh cycles
• Dealer vs individual seller pricing comparison
• Average city-level pricing

5.3 Car Condition Insights

• Accident status (if disclosed)
• Maintenance records
• Ownership count
• Service history
• Warranty status
• Battery health (for EVs, where shown)

5.4 Seller Information

• Seller name / dealer name
• Location (province, city)
• Contact indicators
• Selling reputation / ratings
• Dealer type (official, certified, private seller)
• Inventory count

5.5 Media & Documentation

• Full car photo gallery
• Interior photos
• Exterior photos
• Dashboard/odometer photos
• Engine photos
• Registration document verification (if shown)

5.6 Additional Attributes

• Emission standard
• Fuel consumption
• Insurance expiry
• Roadworthiness status
• Special features

Delivery Methods

Supported Formats

• REST API
• JSON
• CSV / Excel
• Parquet format for Big Data systems
• Direct S3/Cloud uploads

Refresh Frequency

• Daily
• Weekly
• Monthly
• Real-time (on-demand)

Filtering Options

• Price
• Model
• Year range
• Mileage
• City/region
• Seller type
• Fuel type

Business Impact for the Client

8.1 Full China Automotive Market Visibility

Client gained:

• Real-time used car inventory
• City-wise price segmentation
• Model-level depreciation trends

8.2 Accurate Pricing Intelligence

They could compare:

• Dealer vs private pricing
• City-level supply-demand differences
• Seasonal price fluctuations

8.3 Enhanced Vehicle Valuation Engine

Using Actowiz data, they built:

• Automated price prediction models
• Mileage-adjusted valuations
• Depreciation curves

8.4 Scalable Automotive Data Platform

The client expanded coverage to:

• Che168
• Autohome
• Guazi
• Renrenche
• JD Auto listings

All through Actowiz.

Why Actowiz for Automotive Scraping?

Actowiz excels due to:

• Ability to scrape complex Chinese platforms
• Over 50+ fields per listing
• Anti-blocking architecture
• Highly scalable infrastructure
• Fully automated updates
• Custom dashboards & APIs
• Data cleaning & normalization capability

Our automotive scraping supports:

• China
• USA
• Europe
• Middle East
• Southeast Asia

Across all major used car marketplaces.

Conclusion

Actowiz Solutions delivered a full Che168 Car Database Intelligence System that provides:

• Accurate used vehicle listings
• Real-time pricing
• Seller profiling
• Condition mapping
• Analytics-ready datasets

This solution now powers:

• Valuation engines
• Price-monitoring dashboards
• Automotive research
• Market intelligence tools