RVUSA Data for 2 Model Years Plus RV Model Tags Rebuilt from Filters
RVUSA catalogs by model year and a full feature-tag list per RV model on RVing Planet, rebuilt from its filters, for a returning client.
CarDekho prices the same Swift variant differently in New Delhi and Mumbai once registration and insurance are added. Our CarDekho scraper collects city prices and used listings.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
CarDekho pages, filters, fields and a schedule
Built, monitored and repaired by our team
API, JSON feed or CSV, XLSX and JSON files
You tell us what you need from CarDekho - a set of brands and models, the cities for on-road prices, used stock in chosen cities or budget bands - and how often. We build the crawlers, run them and repair them when CarDekho reshapes a page. The used car detail page, for instance, spreads its facts across blocks called Reasons to Buy, Quick Insights, Car Condition and RTO Details, so the parser maps each block to fixed columns. Rendering, pacing, proxy rotation and CAPTCHA handling are part of the service.
Each run lands as CSV, Excel or JSON, through our API or as a load into your database, with field documentation. A free project assessment and a sample come before the first scheduled run.
CarDekho is two catalogues under one roof: a research catalogue of new models, variants and city prices, and a classifieds catalogue of used cars offered by partner dealers and direct owners. A CarDekho scraper has to read both, and they are keyed differently - new cars by brand, model and variant slug, used cars by the listing UUID in the detail URL, with the adId that some cards add.
Every row carries the source URL, the city it was priced for and the collection date, so a Mumbai price never gets mixed with a New Delhi one. For Direct Owner listings we keep the car and leave the person out: names stay out of the dataset by default.


The most useful view of CarDekho is not a page but a matrix: the same variant priced in every city. The Price in city pages repeat the on-road breakdown for each city, and Registration Charges - which CarDekho says cover RTO fees, road safety cess and road safety tax - are where the cities part ways. A run across the cities you choose returns a variant-by-city table rather than one national figure. The same page lists the brand's dealers in that city and links to nearby cities, which is how coverage grows.
Used stock is organised by city and sliced by budget band, brand and model, fuel, body type and transmission, with sort options for Added Date, price, kms and newest model. Crawling those slices on a schedule gives a price history per listing UUID: price cuts, a Save badge appearing, and listings that drop out of the stock.
Upcoming Cars and New Launches run on a calendar of their own. An upcoming car card carries an Expected Launch date and an Estimated price; once the car is out, New Launches shows its Launched On date and the ex-showroom price, and news and expert reviews follow.
CarDekho went live in 2008 and is run by Girnar Software Pvt. Ltd. Its group pages list TrucksDekho, TyreDekho, TractorsDekho, BikeDekho and a car insurance arm, with sister sites in Southeast Asia and the UAE. This page covers cardekho.com, the Indian car site, which opens in English with a city selector rather than country versions.
The top menu splits into New Cars, Used Cars, News and Reviews, and Videos. New Cars holds the research catalogue: brand pages, model pages with tabs for Price, Compare, Images, Specs, User Reviews, Variants, Videos and News, plus Upcoming Cars, New Launches, Electric Cars, comparisons, offers and a dealer finder. Used Cars holds the classifieds: city stock pages, Sell My Car, Used Car Valuation and a dealership finder.
For a data buyer the key detail is that prices are local. CarDekho quotes a model's price in India as an ex-showroom range for New Delhi by default; the on-road price sits on a separate price page for each city. Used cars are listed city by city too, and each city page carries its own count of cars on sale.
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsPrice prediction and valuation models. A CarDekho used car dataset suits price prediction work because of its column set: model year, kms driven, fuel type, transmission, owner number and city next to an asking price. Each extract also carries the variant, insurance validity and the seller type, and a scheduled run keeps the model in step with current asking prices.
On-road price comparison. For manufacturers and dealers, the variant-by-city table shows where the gap between ex-showroom and on-road price is widest and which variants CarDekho tags as Top Selling.
Used car pricing for dealers and lenders. Price against kms, age and owner number by city tells a dealer group what to bid and a lender what a car is likely to fetch. Finance and BuyBack badges show which sellers offer credit and buy-back.
Product and launch tracking. Variant lists, specification changes, Expected Launch dates and user ratings by aspect show how a model is positioned and how buyers receive it.
RVUSA catalogs by model year and a full feature-tag list per RV model on RVing Planet, rebuilt from its filters, for a returning client.
A monthly snapshot of mobile.de for an automotive data company: cars and vans up to 12 years old, delivered in the client's own CSV template.
Weekly and monthly prices of used parts by OE number from rrr.lt and a Scandinavian marketplace, for a car dismantling business.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt is a managed web scraping service: we build, run and maintain the crawlers and deliver the data, so your team works with tables instead of parsers. Indian car portals suit that model well, because the same car carries a different price in each city and used stock is spread across separate city pages. Tell us the brands, cities and fields; a sample comes first. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Still unsure? Write to info@scrapeit.io
Yes. The ScrapeIt CarDekho API returns the variant, ex-showroom and on-road price, kms driven, owner number and city as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files, a JSON feed or straight into your database.
Yes. Model and variant prices, specifications, ratings and used car listings are open to any visitor on CarDekho, no account needed. We collect only publicly available data - everything a visitor can see on CarDekho - and we collect it legally. Names of direct owners and reviewers are left out by default.
From us, scoped to the cities and budget bands you need. Each row carries the listing UUID, price, EMI, kms, fuel, transmission, owner number, registration code, insurance validity, seller type and badges, plus the date it was collected. A one-off extract suits a training set; a weekly run turns it into price history.
Yes, for the cities you list. CarDekho repeats the breakdown - Ex-Showroom Price, Registration Charges, Insurance, Optional and On-Road Price - on a city price page for each model, so we collect every variant per city and deliver one table keyed by variant and city. Dealer names and addresses from the same page can be added.
It depends on the section. Used listings change fastest - prices are cut, Save badges appear and cars leave the stock - so daily or weekly runs suit them. New car prices move with launches and festive offer seasons, so a weekly or monthly pass over the variant-by-city table is usually enough.
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Tell us which sites, which fields and how often. A couple of lines is enough to start.
CarDekho data from €169/month. Free project assessment, reply within 1 business day.