We extract vehicle specifications, on-road pricing matrices, expert reviews, and launch timelines from Autocarindia. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for New Car Specs objects from autocarindia.com. All fields typed and schema-versioned.
"make": "Tata", "model": "Nexon", "variant": "Creative Plus S", "engine_cc": 1199, "fuel_type": "Petrol", "transmission": "AMT", "bhp": 118.2, "price_ex_showroom": 1179000
| # | make | model | variant | engine_cc | fuel_type | transmission |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for On-Road Prices objects from autocarindia.com. All fields typed and schema-versioned.
"city": "Bengaluru", "model": "Nexon", "variant": "Creative Plus S", "ex_showroom": 1179000, "rto_tax": 220450, "insurance": 45000, "total_on_road": 1444450
| # | make | model | variant | city | state | ex_showroom |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Expert Reviews objects from autocarindia.com. All fields typed and schema-versioned.
"title": "2024 Hyundai Creta facelift review", "author": "Hormazd Sorabjee", "publish_date": "2024-01-16", "vehicle_tested": "Hyundai Creta", "overall_rating": 8.5, "verdict": "A comprehensive update that keeps the Creta at the top of its class."
| # | article_id | title | author | publish_date | vehicle_tested | overall_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Automotive News objects from autocarindia.com. All fields typed and schema-versioned.
"headline": "Maruti Suzuki eVX spotted testing in India", "category": "Spy Shots", "tags": "['Maruti Suzuki', 'EV', 'SUV']", "author": "Staff Writer", "publish_date": "2024-02-12", "summary": "The upcoming Maruti eVX electric SUV gets closer to production."
| # | news_id | headline | category | tags | author | publish_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Two-Wheeler Specs objects from autocarindia.com. All fields typed and schema-versioned.
"make": "Royal Enfield", "model": "Himalayan 450", "engine_displacement": 452, "max_power": 39.5, "max_torque": 40, "kerb_weight": 196, "price": 285000
| # | make | model | variant | engine_displacement | max_power | max_torque |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles every layer of the platform: vehicle specifications, dynamic pricing, expert reviews, and news archives - with full normalisation built in.
Extract engine capacity, transmission types, dimensions, and ARAI mileage figures for every active variant.
Capture ex-showroom, RTO, and insurance breakdowns across major Indian cities for accurate price tracking.
Scrape full review text, pros/cons, and author ratings from Autocarindia's editorial team.
Track expected launch dates and estimated pricing for unreleased vehicles.
Monitor industry shifts, spy shots, and policy changes with real-time news extraction.
Full specification and pricing data for motorcycles and scooters available in the Indian market.
Map parent models to their respective trim levels, capturing feature differences across the variant lineup.
Retrieve high-resolution exterior and interior press shots linked to specific models.
Maintain time-series logs of ex-showroom price hikes and variant discontinuations.
Run weekly or monthly diffs to catch new launches and price revisions instantly.
Brief in. Clean data out.
Specify target categories: passenger cars, two-wheelers, news archives, or city-specific pricing.
We configure Scrapy spiders to navigate Autocarindia's taxonomy and handle layout variations.
Schema validation ensures numeric fields like engine displacement and pricing parse correctly.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Media websites are built for human readers, not machines. Here is how we ensure data integrity.
Autocarindia organises data deeply. We map the parent-child relationships between manufacturers, models, and specific trim variants to ensure relational integrity.
While spec tables are structured, many critical details exist only in review text. We use NLP heuristics to extract structured data points from editorial paragraphs.
On-road prices require interacting with location dropdowns. Our Playwright scripts simulate city selection to trigger the API calls calculating local RTO and insurance rates.
Older reviews use different measurement units than modern listings. We normalise bhp, PS, kW, and torque figures into a unified schema for direct comparison.
Manufacturers frequently update features without changing the variant name. Our hash-based diffing catches these silent updates across the entire catalogue.
Analysts track the proliferation of EV variants and SUV body styles across the Indian market.
OEMs monitor on-road price positioning and feature distribution across rival product lines.
Financial institutions use ex-showroom and variant data to structure vehicle loan and insurance products.
Platforms index historical new-car pricing and specs to build depreciation models for the secondary market.
Automotive portals enrich their own databases with comprehensive spec sheets and launch timelines.
ML teams ingest expert review text to train models on automotive sentiment and feature reception.
"Autocarindia holds the most authoritative archive of Indian automotive history, but extracting structured intelligence from a media site requires rigorous normalisation."
Media websites are built for human readers, not machines. Specifications are often embedded in text, layouts change between older and newer reviews, and pricing data relies on dynamic location inputs. DataFlirt structures this editorial chaos into a clean, queryable relational database, handling the edge cases so your analysts do not have to.
Everything supported by our autocarindia.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 dynamic price widget hydration and location-based inputs.
Localised Indian residential proxies ensure accurate regional pricing data and prevent rate-limiting during deep historical crawls.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling for weekly price updates. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About autocarindia.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available factual data like vehicle specifications and prices is generally permissible. DataFlirt targets only public pages and does not bypass subscription paywalls for the digital magazine.
Yes. We simulate location selection to extract the exact ex-showroom, RTO, and insurance breakdowns for cities like Mumbai, Delhi, Bengaluru, and Chennai.
We crawl the historical review archives and discontinued model pages to build a comprehensive database of older variants, vital for used-car valuation models.
Pricing pipelines typically run weekly or monthly to capture manufacturer price hikes and tax changes. News pipelines can run hourly.
Yes. The pipeline covers both the passenger car and bike sections, extracting specs, reviews, and prices for motorcycles and scooters.
We extract the direct CDN URLs for image galleries, categorised by exterior, interior, and detail shots, which you can download or hotlink as needed.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off database of all Indian cars or a continuous feed of automotive news and price updates - we scope, build, and operate the pipeline.
