We extract used car listings, historical pricing, dealer intelligence, and inspection reports from Che168. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Vehicle Listings objects from che168.com. All fields typed and schema-versioned.
"listing_id": "45982103", "title": "2019 Honda Civic 1.5T CVT", "price": 112000.0, "mileage_km": 45000, "registration_date": "2019-08", "city": "Beijing", "emission_standard": "National VI", "transmission": "Automatic"
| # | listing_id | title | price | mileage_km | registration_date | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Valuation objects from che168.com. All fields typed and schema-versioned.
"listing_id": "45982103", "current_price": 112000.0, "original_price": 169900.0, "depreciation_pct": 34.1, "down_payment": 33600.0, "monthly_installment": 2450.0, "financing_rate": 4.5
| # | listing_id | current_price | original_price | depreciation_pct | estimated_value | price_history |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Dealer Data objects from che168.com. All fields typed and schema-versioned.
"dealer_id": "D88392", "name": "Beijing Auto Plaza Used Cars", "rating": 4.8, "inventory_count": 142, "address": "Chaoyang District, Beijing", "verified_status": true, "business_hours": "09:00-18:00"
| # | dealer_id | name | rating | inventory_count | address | contact_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Inspection Reports objects from che168.com. All fields typed and schema-versioned.
"report_id": "IR-992104", "condition_grade": "A", "accident_history": false, "structural_damage": false, "paint_condition": "Minor scratches on rear bumper", "engine_status": "Normal", "interior_wear": "Light wear on driver seat"
| # | report_id | inspector_name | condition_grade | accident_history | structural_damage | paint_condition |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Vehicle Specs objects from che168.com. All fields typed and schema-versioned.
"make": "Honda", "model": "Civic", "trim": "1.5T CVT Premium", "engine_capacity": "1.5L", "fuel_type": "Gasoline", "drivetrain": "FWD", "horsepower": 177, "seating_capacity": 5
| # | make | model | trim | engine_capacity | fuel_type | drivetrain |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Che168 scraper processes complex vehicle listings, parses inspection reports, and tracks dealer inventory changes across multiple Chinese cities with automated translation and normalisation.
Title, mileage, registration date, emission standards, transmission, and every metadata field Che168 surfaces for a specific listing.
Capture current asking price, original MSRP, calculated depreciation, and available financing terms per vehicle.
Track active listings, sold vehicles, pricing adjustments, and total inventory counts for verified Che168 dealers.
Extract structured data from 200+ point inspection reports, including structural integrity, paint condition, and accident history.
Scrape listings segmented by specific Chinese tier-1, tier-2, and tier-3 cities to map regional pricing disparities.
Capture high-resolution exterior, interior, and engine bay image URLs for computer vision training or gallery building.
Map raw Chinese text specifications into structured English fields for make, model, trim, and engine capacity.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Bypass Che168 rate limits and verification challenges using residential proxies and headless browser automation.
Brief in. Clean data out.
Provide target cities, makes, models, or specific dealer IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for che168.com.
Schema validation, null-rate checks, price-outlier detection, and sample listings before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Che168 employs aggressive rate limiting and complex DOM structures for inspection data. Here is how we stay resilient.
Che168 restricts access based on geographic IP reputation. Our crawlers use mainland China residential proxies with realistic browser fingerprints to maintain high success rates without triggering security blocks.
Many pricing charts and detailed inspection modules on Che168 load asynchronously. We run full Playwright browser sessions to ensure all XHR requests complete before parsing the DOM.
Raw data is extracted in Mandarin. Our pipeline can normalise standard fields (like transmission types, body styles, and emission standards) into structured English formats for immediate analytical use.
For large vehicle catalogues, we maintain a hash index of last-seen values per listing. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops, responding before you notice data degradation.
Automotive marketplaces and dealers monitor regional pricing trends to optimise their own listing prices and trade-in offers.
Analysts track vehicle depreciation curves, days-on-market metrics, and brand popularity across different Chinese provinces.
Meta-search engines aggregate Che168 listings alongside other platforms to provide consumers with a unified view of the market.
Fintech and insurance companies feed historical pricing and inspection data into ML models to calculate accurate residual values.
OEMs audit franchised and independent dealers to track used inventory levels and pricing compliance.
International vehicle exporters identify arbitrage opportunities by tracking specific models and conditions in the Chinese domestic market.
"Che168 holds the most comprehensive used vehicle dataset in China, but extracting structured inspection and pricing data requires navigating strict regional blocks and complex dynamic rendering."
Most teams underestimate the investment required: reliable Che168 scraping requires mainland China residential proxies, full JavaScript rendering for inspection reports, daily selector maintenance, and translation pipelines. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our che168.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies specifically for the CN region. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About che168.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Che168 is generally permissible under applicable data laws for public domain information. DataFlirt targets only public, non-authenticated vehicle, pricing, and dealer data. We do not extract personal user data or circumvent authentication walls.
We use mainland China residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for rate spikes in real time and trigger pool rotation automatically.
Yes. We can target extraction runs based on specific geographic filters available on Che168, allowing you to build pricing models for tier-1 versus tier-3 cities.
We can normalise standard categorical fields (make, model, transmission, emission standards) into structured English. Free-text fields like custom inspection notes remain in the original Mandarin.
Full catalogue refreshes at daily cadence complete within a 6-12 hour window depending on scale. Targeted dealer inventory monitoring can run at sub-60-minute latency.
Absolutely. We provide a sample run of up to 500 listings or 50 dealer pages as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off vehicle catalogue dump or a continuous price-monitoring feed across 1M listings, we scope, build, and operate the pipeline. Tell us what you need.
