We extract vehicle listings, dealer inventory, historical pricing, inspection reports, and technical specifications from Cartrade. 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 Used Car Listings objects from cartrade.com. All fields typed and schema-versioned.
"listing_id": "CT948210", "title": "2021 Hyundai Creta SX Opt Diesel AT", "make": "Hyundai", "price": 1750000.0, "mileage_km": 34500, "fuel_type": "Diesel", "transmission": "Automatic", "location_city": "Mumbai", "certification_status": "Cartrade Certified"
| # | listing_id | title | make | model | variant | manufacture_year |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for New Car Specs objects from cartrade.com. All fields typed and schema-versioned.
"make": "Tata", "model": "Nexon", "variant_name": "Creative Plus S", "ex_showroom_price": 1280000.0, "engine_cc": 1199, "bhp": 118.2, "fuel_economy_kmpl": 17.4, "seating_capacity": 5
| # | model_id | make | model | variant_name | ex_showroom_price | engine_cc |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dealer Data objects from cartrade.com. All fields typed and schema-versioned.
"dealer_id": "DLR4921", "dealer_name": "Apex Auto Group", "city": "Bengaluru", "rating": 4.2, "review_count": 156, "total_inventory_count": 42, "verified_status": true, "brands_handled": "['Maruti Suzuki', 'Hyundai']"
| # | dealer_id | dealer_name | address | city | state | pincode |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Inspection Reports objects from cartrade.com. All fields typed and schema-versioned.
"listing_id": "CT948210", "overall_score": 4.5, "engine_rating": 5.0, "exterior_rating": 4.0, "interior_rating": 4.5, "test_drive_status": "Completed", "inspection_date": "2026-02-14", "inspector_notes": "Minor scratch on rear bumper. Engine runs smooth."
| # | listing_id | overall_score | engine_rating | exterior_rating | interior_rating | electricals_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for On-Road Pricing objects from cartrade.com. All fields typed and schema-versioned.
"city": "Delhi", "ex_showroom_price": 1280000.0, "rto_tax": 128000.0, "insurance_premium": 45000.0, "handling_charges": 5000.0, "total_on_road_price": 1458000.0, "emi_estimate_amount": 28400.0, "price_timestamp": "2026-05-12T10:00:00Z"
| # | variant_id | city | ex_showroom_price | rto_tax | insurance_premium | handling_charges |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Cartrade scraper handles every layer of the platform: dynamic inventory searches, dealer storefronts, technical specifications, and inspection reports - with JavaScript rendering and anti-bot circumvention built in.
Extract title, make, model, year, mileage, transmission, owner history, and pricing across all used car listings.
Capture detailed technical specifications, dimensions, engine capacity, and variant hierarchies for new vehicles.
Extract dealer details, verified status, physical address, aggregated ratings, and total active inventory counts.
Simulate location cookies to extract accurate on-road pricing, RTO taxes, and insurance estimates per city.
Parse structured inspection reports including component-level ratings, test drive status, and inspector notes.
Identify Cartrade Certified vehicles, warranty inclusions, and premium listing badges for value analysis.
Monitor asking price drops, days on market, and inventory turnover rates across specific models or dealers.
Extract default loan terms, interest rates, and estimated EMI calculations presented on vehicle pages.
Iterate through regional subdomains and location filters to build a national view of vehicle supply.
Run daily inventory syncs or configure real-time pipelines with change-detection diffing for immediate updates.
Brief in. Clean data out.
Provide target cities, makes, models, or dealer URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for cartrade.com.
Schema validation, null-rate checks, price-outlier detection, and location verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Automotive portals deploy aggressive rate limiting to protect inventory data. Here is how we maintain stable extraction.
Cartrade restricts deep pagination on broad searches. We dynamically partition queries by make, model, year, and micro-location to ensure full catalogue extraction without hitting arbitrary result caps.
On-road pricing and local inventory depend on session cookies and IP geolocation. Our crawlers manage stateful sessions, injecting specific city codes and headers to extract accurate regional data.
Key data points like EMI calculators, inspection report modals, and image galleries rely on client-side rendering. We execute full browser sessions to hydrate these components before extraction.
To prevent IP bans during high-volume crawls, we route requests through Indian residential proxies, rotate user agents, and simulate human interaction patterns to remain undetected by security firewalls.
Automotive listings often have inconsistent DOM structures depending on the dealer or vehicle type. We utilise multiple CSS and XPath fallback chains to ensure data integrity despite layout variations.
Monitor competitor inventory, track local pricing trends, and optimise asking prices based on current market supply.
Analyse vehicle depreciation curves and market values to refine premium calculations and total-loss settlement models.
Track exact on-road pricing and variant availability to streamline loan approvals and verify dealer quotes.
Quantify brand market share, track the shift towards automatic transmissions, and analyse EV adoption rates by city.
Feed real-time used car pricing data into machine learning models to generate instant valuation estimates for consumer platforms.
Consolidate listings across multiple portals to provide a unified vehicle search experience for end consumers.
"Cartrade holds the most comprehensive vehicle inventory and pricing data in India, but aggregating it across cities requires dedicated infrastructure."
Most teams underestimate the investment required: reliable Cartrade scraping requires location cookie management, full JavaScript rendering for dynamic pricing, CAPTCHA handling, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the pipeline.
Everything supported by our cartrade.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 deduplication. Playwright handles JavaScript rendering, cookie sessions, and interaction flows for dynamic automotive listings.
We maintain pools of residential ISP proxies across Indian regions. Rotation happens per-request with sticky sessions for location-dependent pricing queries.
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 cartrade.com scraping, legality, and pipeline operations.
Ask us directly →Cartrade limits the number of visible results for broad queries. We bypass this by dynamically partitioning searches into granular micro-queries based on make, model, year, and specific city zones to extract the entire inventory.
Yes. We simulate local browsing sessions by injecting regional cookies and headers, allowing us to capture accurate ex-showroom prices, RTO taxes, and insurance estimates for any specified city.
No. Cartrade protects direct seller and dealer contact numbers behind an OTP verification wall. We only extract publicly visible dealer information and listing metadata.
We can configure pipelines to run at your required cadence. Full national inventory refreshes typically run daily, while targeted dealer tracking can be executed on an hourly basis.
Yes. Our change detection system tracks the asking price for every listing ID. We can output a changelog showing price drops, days on market, and status changes over time.
Our smallest packages start at tracking specific makes/models or a defined list of cities with weekly delivery. For full national catalogue extraction, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily used car inventory dump or continuous new car pricing updates across India - we scope, build, and operate the pipeline. Tell us what you need.
