Web Scraping Services from CarDekho

Several years ago, owing to the Great Recession, the automotive sector was in hazardous conditions. Therefore, for several market players, it is all about their survival. Nowadays, the business environment has significantly changed. The automobile industries are full of business opportunities owing to the rising demands for cars and auto parts in developing countries and automotive design models. Moreover, several growing businesses are inclined to do web scraping to grab these market opportunities.

Autoportal.com Web Scraping

The chances for autoportal.com web scraping are significant for businesses in the respective sector. It helps understand consumer buying trends. Specific crawling and web scraping services and software enable data retrieval from multiple platforms to generate customer-centric data and process as per the client’s specifications. This process converts enormous amounts of unstructured data into a structured form used for analyzing and storing by customized web scraping services.

Companies mostly scrape data from autoportal.com websites to obtain the resources needed to design futuristic vehicles. They scrape car parts reviews, auto manufacturer reviews, and consumer feedback to understand customers’ interests and develop the cars accordingly. In today’s era, each vehicle component can be optimized and customized per customer requirements. Data retrieved based on customer behavior and feedbacks allow businesses to improve safety, performance, and other features.

Data Availed by CarDekho Web Scraping

• It helps avail data relevant to industry dynamics.
• It provides essential information based on local product perception, promotion schemes, and pricing.
• It helps predict future actions and patterns allowing businesses to make knowledge-based decisions.
• Give updates on the latest industry trends in the automotive industry and the best options for purchase.

Web scraping from autoportal.com website can support the automotive industry in multiple ways:

• It helps formulate the marketing strategies
• It helps in reducing the design cycle
• It helps in reducing the development costs
• It helps develop more efficient, consistent, and competitive innovative models.

Scrape Data from CarDekho/Autoportal.com Website

It encompasses data collection, cleaning, and analysis stage. The source of data is the CarDekho. The Python version used is 3.7.0.

Data Collection

For data collection from the CarDekho website, we are using BeautifulSoup 4v0.01. The first step is importing modules.

Every used vehicle list on an individual webpage has URLs with specific IDs. All the essential data lies within the main_left HTML section.

Now, we define the process_new() function to extract data for a single vehicle.

We will define function update() that scrapes data for listing. The purpose of this function is to find vehicles that get sold.

Now, it’s time to run the function with existing IDs

By running the following script, we will start building a local database.

Updating General Lists of IDs

Before running the update() function, we will list IDs, including Available, instead of Sold or Expired.

Data Cleaning

After the data collection process, the local database has 22,645 rows of data. After the cleaning process, we obtained

We exclude those still available for sale and those not private motors from the list.

Next, we took the number of days each vehicle took for sold.

Now, a local database creates a new column, make. The objective was to extract make from the make_model column.

Next, we create a new column segment and apply it to brands in their respective parts.

Next, we replace the rows that are empty or contain Nil.

Now export data to a .csv file for analysis.

Data Analysis

For data analysis, first, we import the modules

Next, .csv file is read as Pandas DataFrame. The column headers are updated.

Now, we use a scatterplot to look at data plotting days to sell against depreciation.

The output is

Also, we break the main Dataframe into multiple Dataframes.

We plot various segments sequentially for a visual check.

The output chart in .gif is below.

Conclusion

We hope you have a clear idea of how to scrape data from theautoportal.com

website and gather the data effectively. Our car data scraping services can extract various information on car prices and other car-related information.

For more information, contact iWeb Data Scraping now! You can also reach us for all your web scraping service and mobile app data scraping service requirements.