We extract car reviews, dealer listings, technical specifications, and pricing data from Drive.com.au. 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 Car Reviews objects from drive.com.au. All fields typed and schema-versioned.
"make": "Toyota", "model": "Hilux", "year": 2025, "variant": "SR5", "review_score": 8.5, "author": "John Smith", "verdict": "Reliable workhorse."
| # | make | model | year | variant | review_score | author |
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Complete list of extractable fields for Dealer Listings objects from drive.com.au. All fields typed and schema-versioned.
"vin": "JTE123456789", "stock_number": "D123", "price": 55000, "drive_away_price": 58500, "odometer": 15000, "location": "Sydney", "dealer_name": "Sydney Toyota", "transmission": "Automatic"
| # | vin | stock_number | make | model | year | price |
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Complete list of extractable fields for Technical Specs objects from drive.com.au. All fields typed and schema-versioned.
"engine_type": "2.8L Turbo Diesel", "fuel_consumption": "7.9L/100km", "weight": 2100, "towing_capacity": 3500, "torque": "500Nm", "power": "150kW"
| # | make | model | variant | engine_type | fuel_consumption | dimensions |
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Complete list of extractable fields for Pricing Data objects from drive.com.au. All fields typed and schema-versioned.
"msrp": 52000, "drive_away": 56000, "warranty_years": 5, "service_interval": "6 months / 10,000km", "depreciation_estimate": "45% over 3 years", "state_taxes": 2500
| # | make | model | variant | msrp | drive_away | options_pricing |
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Complete list of extractable fields for Safety & Features objects from drive.com.au. All fields typed and schema-versioned.
"ancap_rating": 5, "airbags": 7, "aeb": true, "lane_assist": true, "apple_carplay": true, "seating_capacity": 5
| # | make | model | variant | ancap_rating | airbags | aeb |
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Our automotive scraper handles every layer of the platform: technical specifications, dealer listings, editorial reviews, and pricing data - with JavaScript rendering, session management, and anti-bot circumvention built in.
Engine type, fuel consumption, dimensions, weight, towing capacity, and torque extracted per variant.
VIN, stock number, drive away price, odometer reading, and dealer location mapped to specific models.
Historical and current award winners, category classifications, and detailed scoring breakdowns.
Professional editorial reviews, numeric ratings, pros, cons, and final verdicts scraped across all categories.
MSRP, drive away pricing across different states, options pricing, and depreciation estimates.
ANCAP scores, crash test results, and advanced driver assistance system availability.
High-resolution exterior and interior gallery images mapped to specific trims and variants.
Full Playwright execution to capture dynamic pricing calculators and lazy-loaded specification tables.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change detection.
Brief in. Clean data out.
Provide make and model lists, category URLs, or dealer IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for drive.com.au.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Drive.com.au invests heavily in scraping detection. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
Drive.com.au uses bot detection. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management trained on real user behaviour.
Pricing calculators and specification tables are heavily JavaScript-rendered. We run full Playwright browser sessions to capture data headless clients miss entirely.
DOM structures change frequently. Our selector strategy uses multiple fallback chains per field so a layout change does not break your pipeline overnight.
For large vehicle catalogues, we maintain a hash index of last-seen values. 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 and schema drift, responding before you notice.
Dealerships monitor local market pricing and drive away costs to optimise their own listings and protect margins.
Automotive analysts track new model releases, specification changes, and category trends to identify market shifts.
ML teams use automotive specifications and review text to train recommendation engines and NLP models.
Actuaries correlate vehicle specifications, safety ratings, and pricing with risk profiles to refine premiums.
Procurement teams analyse fuel economy, warranty terms, and depreciation estimates to optimise fleet purchases.
OEMs track competitor feature sets, pricing matrices, and editorial sentiment across the Australian market.
"Drive.com.au holds the definitive record of Australian automotive specifications and pricing history but requires dedicated pipeline infrastructure to query at scale."
Most teams underestimate the investment required: reliable automotive scraping requires residential proxies, full JavaScript rendering for dynamic tables, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis - not the infrastructure.
Everything supported by our drive.com.au 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 AU regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda and ECS. 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 drive.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Drive.com.au is generally permissible under applicable law. DataFlirt targets only public, non-authenticated vehicle, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains so DOM changes do not break the pipeline.
We extract technical specifications, dealer listings, drive away pricing, editorial reviews, ANCAP safety ratings, and high-resolution image galleries across all makes and models.
Real-time streaming pipelines achieve sub-60-minute latency for dealer listing updates. Full specification catalogue refreshes at weekly cadence complete within a 6-12 hour window.
Yes. We can extract the full archive of Drive.com.au editorial reviews, including Drive Car of the Year scoring history and long-term test reports.
Our smallest packages start at a defined make and model list with weekly delivery. For full market coverage or custom schema requirements, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 50 models or 500 dealer listings 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 specification dump or a continuous price-monitoring feed across the Australian market - we scope, build, and operate the pipeline. Tell us what you need.
