We extract used car inventory, mechanical inspection reports, pricing signals, and ownership history from Cars24. 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 Listings objects from cars24.com. All fields typed and schema-versioned.
"listing_id": "C24-982134", "make": "Hyundai", "model": "Creta", "variant": "1.6 SX PLUS AUTO", "manufacture_year": 2018, "price": 945000.0, "odometer_km": 42150, "fuel_type": "Petrol", "transmission": "Automatic", "owner_count": 1, "rto_code": "KA-51", "city": "Bengaluru"
| # | listing_id | make | model | variant | manufacture_year | price |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Inspection Reports objects from cars24.com. All fields typed and schema-versioned.
"listing_id": "C24-982134", "engine_rating": 4.5, "exterior_rating": 3.8, "interior_rating": 4.2, "tyre_condition": "70% tread remaining", "electricals_status": "All functional", "structural_damage": false, "ac_cooling": "Effective", "brake_condition": "Pads require replacement within 5000km"
| # | listing_id | engine_rating | exterior_rating | interior_rating | tyre_condition | electricals_status |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Valuation objects from cars24.com. All fields typed and schema-versioned.
"listing_id": "C24-982134", "asking_price": 945000.0, "trueprice_estimate": 938000.0, "emi_starting": 18450.0, "downpayment_min": 94500.0, "discount_amount": 15000.0, "booking_amount": 10000.0, "rto_tax_paid": true
| # | listing_id | asking_price | trueprice_estimate | emi_starting | downpayment_min | discount_amount |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Vehicle History objects from cars24.com. All fields typed and schema-versioned.
"listing_id": "C24-982134", "registration_date": "2018-05-14", "insurance_type": "Comprehensive", "insurance_validity": "2026-05-13", "fitness_certificate_validity": "2033-05-13", "challan_history": "Clear", "service_logs_available": true, "owner_type": "Individual", "rto_city": "Bengaluru South"
| # | listing_id | registration_date | insurance_type | insurance_validity | fitness_certificate_validity | challan_history |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Media & Assets objects from cars24.com. All fields typed and schema-versioned.
"listing_id": "C24-982134", "thumbnail_url": "https://assets.cars24.com/c24-982134-thumb.jpg", "view_360_url": "https://assets.cars24.com/c24-982134-360.html", "video_url": "None", "interior_images": 8, "engine_images": 3, "defect_images": "['scratch_front_bumper.jpg', 'dent_rear_door.jpg']"
| # | listing_id | thumbnail_url | gallery_urls | defect_images | view_360_url | video_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Cars24 scraper handles every layer of the platform. We extract inventory listings, dynamic pricing, TruePrice valuations, and granular 140-point inspection reports with JavaScript rendering and session management built in.
Make, model, variant, year, transmission, and fuel type across all Cars24 hubs. Extracted at listing level with exact specifications.
Extract granular mechanical, electrical, and exterior defect mappings directly from the Cars24 inspection sheets.
Capture asking price, historical price drops, and algorithmic TruePrice valuations timestamped per crawl.
Extract RTO codes, registration dates, fitness certificate validity, and verified ownership counts.
Scrape default loan terms, minimum down payment requirements, and interest rate assumptions advertised on the listing.
Download and map specific defect coordinates to exterior and interior image assets.
Filter and extract inventory across Delhi NCR, Mumbai, Bengaluru, and tier-2 cities using location parameters.
Monitor days on market, sold status, and listing removal events to gauge inventory turnover rates.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide target cities, make and model filters, or specific hubs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for cars24.com.
Schema validation, null-rate checks, price-outlier detection, and sample inspection reports before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Cars24 invests heavily in scraping detection. Here is how we stay resilient, and why teams choose managed infrastructure over DIY.
Cars24 blocks datacenter IPs and repetitive request patterns. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management trained on real user behaviour patterns.
Cars24 relies heavily on client-side rendering. We run full Playwright browser sessions with JavaScript execution, lazy-load triggering, and dynamic widget hydration, capturing data that headless HTTP clients miss entirely.
DOM structures for inspection reports change frequently. Our selector strategy uses multiple fallback chains per field, so a layout update does not break your data pipeline overnight.
For large city-wide catalogues, we maintain a hash index of last-seen values per listing. Subsequent runs only push diffs, reducing compute cost, storage bloat, and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops, and respond before you notice. SLA uptime is contractual.
Dealerships and aggregators monitor Cars24 pricing models to adjust their own valuation algorithms.
Analysts track days on market and discount frequencies to measure regional used car demand.
ML teams use historical pricing and 140-point inspection data to train automated car valuation engines.
OEMs and rival platforms track Cars24 market share, inventory depth, and refurbishment throughput by city.
Insurance and warranty providers analyse frequent mechanical failures tied to specific makes and models.
NBFCs monitor the EMI structures and down payment requirements advertised against specific vehicle cohorts.
"Cars24 holds the most structured used car inspection and pricing dataset in India, but extracting it requires navigating heavy client-side rendering and aggressive bot protection."
Most teams underestimate the investment required. Reliable Cars24 scraping requires residential proxies, full JavaScript rendering for inspection reports, 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 cars24.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 IN regions. Rotation happens per request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda for burst tasks and ECS for sustained loads. 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 cars24.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Cars24 is generally permissible under applicable law in India. DataFlirt targets only public, non-authenticated inventory, pricing, and inspection data. We do not extract personal data, circumvent authentication walls, or violate privacy regulations. Clients should review Cars24 terms of service and consult legal counsel for specific use cases.
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 monitor for rate spikes in real time and trigger pool rotation automatically.
Yes. We parse the inspection reports into structured formats, capturing specific mechanical, electrical, and aesthetic defect flags along with their severity ratings.
Yes. We support extraction across Delhi NCR, Mumbai, Bengaluru, Chennai, Hyderabad, Pune, and all tier-2 cities where Cars24 operates.
Real-time streaming pipelines achieve sub-60-minute latency for price and availability signals on defined city filters. Full catalogue refreshes at daily cadence complete within a 6-12 hour window.
Yes. TruePrice estimates are captured alongside the asking price, allowing you to analyse the variance between algorithmic valuation and listing price.
Absolutely. We provide a sample run of up to 500 listings as part of the pre-engagement scoping process, so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off inventory dump or a continuous price-monitoring feed across all Indian hubs, we scope, build, and operate the pipeline. Tell us what you need.
