We extract new car specifications, variant matrices, on-road pricing, used car listings, and dealer intelligence from CarWale. 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 New Cars & Variants objects from carwale.com. All fields typed and schema-versioned.
"make": "Tata", "model": "Nexon", "variant": "Creative Plus", "ex_showroom_price": 1179900, "fuel_type": "Petrol", "transmission": "Manual", "engine_cc": 1199, "seating_capacity": 5
| # | make | model | variant | ex_showroom_price | body_type | fuel_type |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for On-Road Pricing objects from carwale.com. All fields typed and schema-versioned.
"city": "Bengaluru", "variant": "Creative Plus", "ex_showroom_price": 1179900, "rto_tax": 221580, "insurance": 51200, "total_on_road_price": 1453680, "scraped_at": "2026-05-12T09:14:00Z"
| # | city | make | model | variant | ex_showroom_price | rto_tax |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Used Car Inventory objects from carwale.com. All fields typed and schema-versioned.
"listing_id": "CW-892144", "make": "Hyundai", "model": "Creta", "year": 2021, "kilometers_driven": 42100, "asking_price": 1250000, "location": "Mumbai", "dealer_name": "Spinny"
| # | listing_id | make | model | variant | year | kilometers_driven |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Technical Specifications objects from carwale.com. All fields typed and schema-versioned.
"engine_type": "1.2L Revotron", "max_power": "118 bhp @ 5500 rpm", "max_torque": "170 Nm @ 1750 rpm", "emission_norm": "BS6 Phase 2", "boot_space": 382, "fuel_tank_capacity": 44, "brakes_front": "Disc"
| # | variant_id | engine_type | max_power | max_torque | emission_norm | suspension_front |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Dealerships objects from carwale.com. All fields typed and schema-versioned.
"dealer_name": "Advaith Hyundai", "brand_represented": "Hyundai", "facility_type": "Sales & Service", "city": "Bengaluru", "rating": 4.2, "review_count": 312, "pincode": "560001"
| # | dealer_id | dealer_name | brand_represented | facility_type | address | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our CarWale scraper handles every layer of the platform: variant specifications, city-specific on-road pricing, used car inventory, and dealership intelligence.
Extract make, model, and specific trim levels with their associated ex-showroom prices and feature matrices.
Inject location cookies to capture accurate RTO taxes, insurance premiums, and total on-road prices across Indian cities.
Scrape unorganised used car listings, including kilometers driven, ownership history, and asking prices.
Extract and format engine capacity, transmission types, dimensions, and fuel efficiency metrics into structured schemas.
Capture high-resolution exterior and interior catalogue images mapped to specific variant colours.
Pull expert reviews, user ratings, and detailed pros and cons for specific models and variants.
Extract default downpayment assumptions, loan tenure options, and estimated EMI calculations.
Locate authorised sales and service centres complete with address, brand representation, and user ratings.
Monitor used car asking prices over time to build depreciation curves and residual value models.
Brief in. Clean data out.
Provide make/model lists, target cities for on-road pricing, or specific used car filters. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and location simulation for carwale.com.
Schema validation, null-rate checks on pricing fields, and location accuracy testing before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Automotive aggregators use location gating and dynamic rendering. Here is how we stay resilient.
CarWale alters on-road pricing based on user location. Our crawlers inject specific city and state cookies to accurately capture RTO taxes and insurance breakdowns across different geographies.
Used car search results rely heavily on client-side rendering and infinite scroll. We run full Playwright browser sessions to trigger lazy-loaded listings and capture the complete inventory.
Automotive trim names change frequently. Our extraction logic maps raw variant strings to a normalised schema, ensuring historical continuity in your datasets.
For large vehicle catalogues, we maintain a hash index of last-seen values. Subsequent runs only push diffs when ex-showroom prices or RTO structures change, reducing downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes in critical fields like price and mileage, responding before you notice.
Insurance providers use variant-level ex-showroom pricing and depreciation data to calculate accurate premiums.
Automotive OEMs track on-road pricing and feature matrices of competing models across different cities.
Aggregators and dealerships build residual value algorithms based on historical asking prices and kilometers driven.
Analysts track used car inventory volume by make and model to estimate secondary market liquidity.
Brands audit competitor dealership density and service centre ratings across regional markets.
Content portals enrich their own databases with normalised technical specifications and colour catalogues.
"CarWale holds the most accurate variant-level pricing and RTO tax data in the Indian automotive market, but none of it is queryable unless you build the pipeline."
Most teams underestimate the investment required: reliable CarWale extraction demands location-spoofing for accurate on-road prices, full JavaScript rendering for used car infinite scroll, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers focus on the analysis, not the infrastructure.
Everything supported by our carwale.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 and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows for dynamic search results.
We maintain pools of residential ISP proxies and inject city-specific headers and cookies to ensure accurate regional pricing data.
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 carwale.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available vehicle listings and specifications is generally permissible. DataFlirt targets only public, non-authenticated pricing and inventory data. We do not extract personal user data or circumvent authentication walls.
CarWale determines pricing based on location headers and cookies. We inject the exact city and state parameters into our requests to extract precise RTO taxes and insurance calculations for any specified region.
Yes. We configure pipelines to monitor used car search results, capturing new listings, price drops, and sold vehicles at daily or hourly cadences.
Yes. Automotive trim names are often inconsistent across listings. We apply normalisation rules to map raw variant strings to a standard nomenclature for easier downstream analysis.
Our smallest packages start at a defined list of models or a specific city's used car inventory with weekly delivery. We price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 100 vehicle variants or used car listings during the scoping phase 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 multiple cities, we scope, build, and operate the pipeline. Tell us what you need.
