We extract used car listings, Encar Diagnosis reports, pricing signals, and dealer inventory. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery.
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 encar.com. All fields typed and schema-versioned.
"vehicle_id": "35829104", "make": "Hyundai", "model": "Grandeur", "trim": "IG 2.4 GDi Premium", "year": 2019, "mileage_km": 48291, "price_krw": 21500000, "fuel_type": "Gasoline", "transmission": "Automatic"
| # | vehicle_id | make | model | trim | year | mileage_km |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Encar Diagnosis objects from encar.com. All fields typed and schema-versioned.
"vehicle_id": "35829104", "diagnosis_passed": true, "inspector_name": "Kim Min-su", "inspection_date": "2023-10-14", "frame_damage": false, "exterior_damage": true, "repair_history": "Front bumper replaced", "flooding_history": false
| # | vehicle_id | diagnosis_passed | inspector_name | inspection_date | frame_damage | exterior_damage |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Dealer Intelligence objects from encar.com. All fields typed and schema-versioned.
"dealer_id": "D849201", "dealer_name": "Lee Ji-hoon", "company_name": "Seoul Auto Trading", "location": "Seoul Gangseo-gu", "total_inventory": 42, "sold_vehicles": 184, "member_since": "2018-04-12"
| # | dealer_id | dealer_name | company_name | location | contact_number | total_inventory |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing and History objects from encar.com. All fields typed and schema-versioned.
"vehicle_id": "35829104", "current_price": 21500000, "original_msrp": 34500000, "price_drop_amount": 500000, "days_on_market": 14, "view_count": 1420, "like_count": 34, "status": "Active"
| # | vehicle_id | current_price | original_msrp | price_drop_amount | days_on_market | view_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Options and Specs objects from encar.com. All fields typed and schema-versioned.
"vehicle_id": "35829104", "sunroof": false, "navigation": true, "smart_key": true, "leather_seats": true, "heated_seats": true, "ventilated_seats": false, "engine_displacement_cc": 2359
| # | vehicle_id | sunroof | navigation | smart_key | leather_seats | heated_seats |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Encar scraper processes complex vehicle listings, inspection diagrams, and dynamic pricing data. We handle Korean residential IP routing and JavaScript execution natively.
Capture make, model, trim, mileage, registration date, and core specifications for every active listing on the platform.
Extract structured data from Encar's proprietary vehicle inspection reports, including frame damage and exterior repair history.
Monitor listing prices, price drops, and estimated market values to build accurate depreciation models.
Track individual dealer portfolios, sales velocity, and total active stock across different regions in Korea.
Map over 50 specific vehicle options including ADAS features, interior materials, and infotainment systems.
Extract high-resolution image URLs for exterior, interior, and specific damage reports documented by inspectors.
Capture summarized insurance claim records, ownership changes, and usage history (rental/taxi) when available.
Map inventory distribution across major Korean automotive trading complexes like Suwon Auto Collection and Seoul Gangseo.
Identify newly listed vehicles and sold inventory with daily differential updates to your database.
Brief in. Clean data out.
Specify target makes, models, or dealer IDs. We design the extraction schema to match your data requirements.
We configure crawlers with Korean residential proxies, JavaScript rendering, and session management.
Schema validation, null-rate checks, and data type normalisation before full production launch.
Clean structured records pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on your cadence.
Encar employs strict geo-blocking and dynamic rendering for inspection reports. Here is how our infrastructure maintains constant access.
Encar heavily restricts traffic originating from outside South Korea or known data centre IP ranges. We route all requests through ISP-grade Korean residential proxies to ensure consistent access and avoid regional blocks.
Encar Diagnosis reports and CarHistory summaries are loaded dynamically via complex JavaScript payloads. We use Playwright to execute these scripts and wait for network idle states before extracting the rendered DOM.
Standard search pagination on Encar is capped, preventing full catalogue extraction from a single query. We use multi-dimensional filtering (by year, region, and make) to create thousands of micro-queries, ensuring total inventory coverage.
Vehicle options and damage reports are presented in Korean. We extract the raw text accurately, maintaining strict encoding standards, allowing your downstream systems to translate or map values reliably.
Tracking 150K+ vehicles daily requires efficient state management. We hash core fields and only emit records when a price drops, a status changes to sold, or new inventory appears.
Automotive pricing platforms ingest Encar data to train depreciation curves and establish baseline market values for the Korean market.
International vehicle exporters track specific models (e.g., Hyundai Porter, Kia Bongo) to identify arbitrage opportunities and procurement targets.
Third-party automotive platforms aggregate listings and dealer profiles to build comprehensive market overviews.
Lenders use historical pricing and days-on-market metrics to calculate residual values and assess loan collateral risk.
Large dealership networks monitor competing dealer inventory, pricing strategies, and sales velocity across different regions.
Actuaries correlate vehicle trim levels and safety options with market values to refine total-loss payout models.
"Encar holds the definitive pricing baseline for the Korean used car market, but extracting its inspection records requires bypassing aggressive geo-restrictions."
Building an Encar pipeline requires reliable Korean residential proxies, dynamic rendering for inspection diagrams, and constant maintenance of complex selectors. DataFlirt manages this infrastructure entirely, delivering structured vehicle records directly to your warehouse.
Everything supported by our encar.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 manages request queues and deduplication, while Playwright handles the execution of Encar's complex JavaScript payloads for inspection reports.
We maintain dedicated pools of South Korean residential IPs to ensure consistent access and prevent automated blocking from Encar's security layer.
Pipelines are scheduled via Apache Airflow and executed on containerised infrastructure, ensuring daily syncs complete within strict SLA windows.
Data delivered to where your team already works — no new tooling required.
About encar.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We route all extraction traffic through ISP-grade residential proxies located in South Korea. This mimics legitimate local user traffic and bypasses geo-fencing restrictions completely.
Our standard pipelines extract the raw Korean text exactly as it appears on the site to ensure maximum fidelity. We can implement automated translation steps in the pipeline via external APIs if requested during the scoping phase.
We extract the structured data behind the diagrams, such as boolean flags for frame damage, exterior panel replacements, and inspector notes. We also capture the URLs for the inspection images.
For targeted subsets (e.g., specific models or dealers), we can run hourly pipelines. For full-site catalogue extraction, we recommend a daily sync to capture new listings, price changes, and sold vehicles efficiently.
Yes. Our change detection system monitors previously seen vehicle IDs. If a listing is removed or explicitly marked as sold, we emit a status update record with the final observed price and date.
No. We only extract publicly accessible listing, dealer, and inspection data. We do not extract gated dealer-only auction data or private buyer messaging channels.
20-minute scoping call. Pilot dataset within the week. Production within two. Need a daily sync of all Hyundai listings or continuous monitoring of specific dealer inventories? Tell us your requirements.
