Top 5 Domains And Industries Where Web Scraping Can Be Leveraged Effectively

Today, web extraction has become an essential part of businesses. With this comes several myths and legalities leading to doubts and debates. As such, learn about these myths and more through the guide.

July 21, 2020

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Data is the differentiator that every industry needs today. It forms the core of market research, whether you must commence a new project or churn competitors’ data for existing businesses. Every business needs the capability to analyze and assess an immense amount of data. Web Scraping helps out in this regard.

Web scraping is helpful for a particular industry and relevant to different industries and domains. Here’s how web scraping can aid different industries and domains:

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Recruitment

Scraping social media websites is new since the boom of social media networking sites is evident in the last decade or so. To understand the ever-expanding User-Generated-Content (UGC), companies consistently rely on product reviews, feedback, and user complaints too. Web scraping of social sites here aids companies in brand monitoring, competitor analysis, sentiment analysis, and so on.

E-commerce

Getting access to information on competitors may help a business grow and offer a competitive benefit in the niche. For instance, businesses utilize this data for adjusting their strategies, forecast future demands, and discover the finest industry practices. That’s the reason why data analytics has become an important requirement for the online entrepreneurs. Luckily, the e-commerce world has potentially valuable data, which can be used for creating a competitive benefit if analyzed correctly. With data scraping, you can meet a business’s data requirements on competitors as well as the market.

Social Media

Banking Analysts rely on financial statements in order to determine a company’s health. And web scraping aids such companies in getting financial statements from several companies. Web scraping tools can extract financial statements from diverse sites periodically for further analysis and thus drive investment decisions too.

Scraping Social Networks such as Twitter LinkedIn, and more is not easy enough for in-house data acquisition departments. The tasks need to be handled by experts who can handle end-to-end requirements and provide you with relevant data in quick turnaround time. Most social sites allow crawlers to extract data through their API (Application Programming Interface), to retain information control about users and their social activities.

Here’s what you can do:

Experts in scraping social media data promptly
Derive data from Twitter, LinkedIn groups, blogs, reviews etc.
Drive better brand monitoring, and sentiment/competitor analysis through the data
Extract data based on keywords, categories, and geographies and even languages
Provide data in preferred formats (XML, CSV, and XLS)

Data scraping supplies quantifiable results and hence a perfect aid for social media channels and their end clients in terms of small businesses and individuals.

Real Estate

Real estate companies leverage web scraping to collect customer profiles, e-mail addresses, phone numbers and much more. The web scraping process for the real estate industry is geared to scrape foreclosure details, homes, mortgage records, agent details, and property pictures too.

Here is how real estate agents benefit:

They can determine competitive pricing for properties through scraped data of sale/offer prices of similar properties in that location.
An average sale price of space in terms of square feet can be compared to similar properties.
Working knowledge of agents, property listings, plots, and relevant prices
Collect, analyze, and interpret real estate business data for assessing trends.

Data scraping in real estate delivers current market values, agent information, buyer and seller details and more.

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Automotive

Collect relevant industry trends with web scraping and a better understanding of the local perception of vehicles and their promotions. Some web scrapers can help automotive organizations predict future trends and even derive the best available options based on purchasing power.

Here is how the automotive companies stand to benefit from web scraping:

Scraped Data helps companies understand buying patterns and extract robust buyer data from different channels.
Search the web to garner customer-centric data and processes per customers’ requirements.
Scraped data can convert unstructured data into structured data and analyze it through custom web crawling tools.
Scrape auto parts information from a diverse set of manufacturer sites.
Extract pricing information of auto accessories, including tire size, new and used car details, schedule data, and much more.
After scraping vehicle sensor data, analyze customer preferences, habits, and purchasing power.
Identify faults faster through web scraping tools that rectify issues quickly.

Several automotive businesses are leveraging web scraping tools and technologies to track performance, boost mileage, improve vehicle efficiency, and reduce maintenance costs.