We extract vehicle listings, pricing signals, mileage, and inspection reports from Kavak. 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 kavak.com. All fields typed and schema-versioned.
"vehicle_id": "MX-982341", "make": "Volkswagen", "model": "Jetta", "year": 2019, "price": 285000.0, "mileage": 42500, "transmission": "Automatic", "colour": "Silver"
| # | vehicle_id | make | model | year | version | price |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Financing objects from kavak.com. All fields typed and schema-versioned.
"vehicle_id": "MX-982341", "cash_price": 285000.0, "financing_available": true, "down_payment": 57000.0, "monthly_installment": 6450.0, "term_months": 48, "currency": "MXN"
| # | vehicle_id | cash_price | reserved_price | financing_available | down_payment | monthly_installment |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Inspection & Condition objects from kavak.com. All fields typed and schema-versioned.
"vehicle_id": "MX-982341", "inspection_score": 240, "mechanical_status": "Passed", "exterior_status": "Minor scratches on rear bumper", "interior_status": "Excellent", "warranty_included": true, "previous_owners": 1
| # | vehicle_id | inspection_score | mechanical_status | exterior_status | interior_status | reconditioning_notes |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Features & Specs objects from kavak.com. All fields typed and schema-versioned.
"vehicle_id": "MX-982341", "engine_size": "1.4L", "horsepower": 150, "doors": 4, "seating_capacity": 5, "drivetrain": "FWD", "safety_features": "['ABS', 'Airbags', 'Traction Control']"
| # | vehicle_id | engine_size | horsepower | doors | seating_capacity | drivetrain |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Hub & Location objects from kavak.com. All fields typed and schema-versioned.
"vehicle_id": "MX-982341", "hub_name": "Kavak Lerma", "city": "Toluca", "state": "Estado de Mexico", "country": "MX", "viewing_available": true, "delivery_options": "['Home Delivery', 'Hub Pickup']"
| # | vehicle_id | hub_name | city | state | country | latitude |
|---|---|---|---|---|---|---|
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Our Kavak scraper handles every layer of the platform: regional inventory, dynamic pricing, and 240-point inspection details, with JavaScript rendering and anti-bot circumvention built in.
Extract make, model, year, trim, mileage, and transmission details across the entire catalogue.
Capture cash pricing, reserved pricing, and discount flags timestamped per crawl.
Extract detailed mechanical and cosmetic condition reports for every listed vehicle.
Support for Kavak Mexico, Brazil, Argentina, Colombia, Chile, and Peru.
Capture down payment requirements, monthly terms, and available financing plans.
Extract engine displacement, horsepower, drivetrain, and safety features.
Map inventory to physical Kavak hubs, including viewing availability and delivery options.
Extract CDN URLs for all exterior, interior, and detail photos per vehicle.
Run one-off bulk exports or configure continuous pipelines at daily cadences with diffing.
Brief in. Clean data out.
Provide target regions, makes, or price brackets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for kavak.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Automotive platforms invest heavily in scraping detection. Here is how we stay resilient and why teams choose managed infrastructure over DIY.
Kavak bot detection operates on TLS fingerprints and IP reputation. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management.
Kavak inventory pages are heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution and lazy-load triggering to capture data headless HTTP clients miss.
Pricing and inventory visibility depend on the requesting region. We route requests through local residential IPs in Mexico, Brazil, and Argentina to ensure accurate data.
DOM structures change frequently. Our selector strategy uses multiple fallback chains per field, including CSS selectors and API response interception, maintaining pipeline stability.
For large vehicle catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing downstream processing load.
Dealerships track Kavak pricing to adjust their own inventory and maintain competitive margins.
Analysts track used car depreciation curves and inventory aging across Latin American markets.
Classifieds platforms aggregate available Kavak stock to provide a comprehensive market view.
ML teams use vehicle attributes and historical pricing to train automated valuation models.
OEMs monitor secondary market volume for specific models to inform new production cycles.
Rival automotive platforms monitor Kavak expansion and hub inventory levels region by region.
"Kavak holds the most comprehensive used vehicle pricing dataset in Latin America, but none of it is queryable unless you build the pipeline."
Most teams underestimate the investment required: reliable Kavak scraping requires LATAM residential proxies, full JavaScript rendering, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our kavak.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 across LATAM regions. 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 kavak.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Kavak is generally permissible. DataFlirt targets only public, non-authenticated vehicle inventory, pricing, and inspection data. We do not extract personal data or circumvent authentication walls. Clients should review Kavak Terms of Service and consult legal counsel for specific use cases.
We use regional 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.
We support Kavak Mexico, Brazil, Argentina, Colombia, Chile, and Peru. All data is normalised into a unified schema with local currencies mapped appropriately.
Full catalogue refreshes at a daily cadence complete within a 4-8 hour window depending on regional inventory size. Sub-60-minute latency is available for targeted vehicle subsets.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per vehicle for price drops, financing changes, and availability from the date your pipeline starts.
Yes. Each vehicle record includes the detailed mechanical and cosmetic status parsed from the public inspection report.
Our smallest packages start at a defined regional dump with weekly delivery. For continuous daily monitoring across multiple countries, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off LATAM inventory dump or a continuous price-monitoring feed across 100K vehicles, we scope, build, and operate the pipeline. Tell us what you need.
