What is Vahan Parivahan Website and How to Web Scrape Vahan Parivahan Data?

The Ministry of Road Transport and Highways, or MoRTH, enables people to check the vehicles on the Vahan website and application. Apart from this, the government vahan parivahan website includes options for registering driving licenses, driving school licenses, booking online test appointments, and other vehicle-related services, manufacturers, dashboards and reports, informational services, and more.

Upon entering a vehicle’s registration number, one can quickly get the ownership details of the vehicle, including the owner’s name, contact details, and many more. Under the National e-Governance Policy, Vahan and Sarathi are the application created by MoRTH in 2011. The National Informatics Centre plays a role in designing, maintaining, and supporting the applications.

In addition, MoRTH also has an application known as mParivahan that provides easy access to information, services, and utilities. The Vahan is a data repository of almost all vehicles registered in the country, while, Sarathi boasts computerized data on the Driving Licenses in India. The data as of 12 March 2020 states that the Vahan website has 285,768,212 digitized vehicles, meaning that the Vahan website and application comprise more than 28.5 crore vehicles.

The information available on the Vahan website on entering the registration number of the vehicles includes the following:

• Owner Name
• Date of registration
• Registering authority
• Model
• Type of fuel
• Age of vehicle
• Class of vehicle
• Insurance and fitness validity.

Collecting this information manually from the vahan parivahan website is a difficult task. It consumes a lot of effort and time. The chances of getting errors also increase. In such an instance, the role of web scraping comes into play. The web scraping vahan parivahan data gives detailed information about the type of vehicle registered, its owner’s name, the model of the vehicle, how old it is, the owner’s contact details, and more.

Web or data scraping is the automated information extraction from a website or any other source. It involves generating the HTTP requests to a website’s server, downloading the HTML of the web page, and finally parsing the HTML to extract the desired data.

The extracted information is available in a local file or a database for later use. This information has multiple benefits, including price comparison, scraping news, research, and data visualization.

At iWeb Data Scraping, we can easily scrape vehicle class-wise fuel data of 7 RTOs (GJ1, GJ27, GJ38, HR38, HR51, HR30, HR73) from 2012 to 2021 from the Vahan Parivahan dashboard.