13 reasons why parsing has become increasingly popular in the last decade
Starting a new business? Or planning to expand an existing one? No matter which, parsing is the best way to extract data for your business growth today. It helps you gain valuable insights and information about your latest competitors, regardless of whether you deal in products or services. Although data parsing has been around for quite some time, it has never been used as widely or considered as reliable as it is today.
So, what are the 13 reasons why web scraping has become increasingly popular in the last decade?
1. Evolution of scraping service providers
Over the past few years, scraping service providers have undergone significant development. With their top-tier resources and technical expertise, they can help you obtain data that is important and relevant to your business.
2. Indispensable for analysts
If you need to analyze data to spot a trend—for example, which product is more popular among which age groups—you can turn to a scraping service provider to help you collect the data needed for that analysis. This not only helps you analyze data but also make informed decisions.
3. Speed of data extraction
In our fast-paced world, manually browsing web pages makes no sense. It is expensive, error-prone, and, most importantly, extremely time-consuming. In fact, given the rate at which data volumes are growing, a parser can collect as much data in one day as a person could in a year. Moreover, there is no need to worry about fatigue. You can keep the server running continuously and run the parser script.
4. Data accuracy
With a parser, the data is the product you receive. It is the data you will use to grow your business. If the data contains errors, you will face backlash. However, today, if you use good scraping services, you can expect the highest level of accuracy.
5. Brand monitoring
Today, negative reviews can even shut down a company. Whether you are an airline or sell pet food, one wrong tweet, one bad review from a notable person—and you’re done. Perhaps even more than advertising, you need to ensure you know what the public thinks about you, your company, your services, and more. You need to identify your weaknesses and work on improving them.
The best way to do this is to collect data from review sites or comment pages, whether it’s Twitter, Instagram, or an e-commerce portal where your products are sold. You can even check media sites to see if your company has been mentioned in any stories, positive or negative. Maintaining a good public image can be achieved using data scraping, and this is a new way to do it.
6. Business intelligence
Setting up separate departments like sales, marketing, and product. Do you go online to get information about competitors? To check their prices?
Their latest promotional tactics and banners on their websites? Or their new PR campaign that got a million likes? No longer necessary.
Let data work for you—collect data via scraping from websites and start turning it into decisions that help move your business forward.
7. Data enrichment
You have a huge data bank, but something is off. Instead of discarding all the data as invalid, you can enlist the help of a web scraping service to enrich your data bank. This, despite seeming minor, can make a critical difference.
When you’re trying to obtain a specific dataset where you know the value of one column but the rest are empty, a website parser will be very useful. For example, you need to compare ten cars, but you only have their names and model numbers. So you can list the parameters you need for comparison and let the website parser fill them in for all ten cars.
8. Real estate listings
Collecting information about every property in your city is no easy task. That’s why many companies turn to data parsers to get more listings on their sites. Scraping real estate data not only helps compile listings but also adds photos, giving clients an initial impression.
9. The need for data mining to build machine learning models
Conducting a research experiment and obtaining a large number of images related to certain keywords is a common story for many AI-driven companies. But having ten interns waste their skills doing this manually would not be the most efficient solution.
If you can browse the internet, find images tagged with specific keywords, and save them in separate folders, why do it manually? You can conduct research and build a training and testing model with ease, without worrying about data collection or quality.
10. Monitoring price wars
As e-commerce sites intensify real-time price wars, if you are a business operating on a B2C or even B2B platform, you need to join the big game by participating in these price wars. This is only possible with real-time tracking of product prices on your site that your competitors also sell. For this, a scraping-based pricing system is an essential component.
11. Stock market tracking
Your business may be perfectly suited to real-time stock market tracking using a parser. Although scraping tools already exist, they are not very customizable, so an app that provides you with updates and trends specific to your field in real time would be very useful and easily achievable through automation.
12. Tracking the latest trends
Dealing with communications or media? For the most part, you need people on the ground, but you can’t have people EVERYWHERE! That’s where data scraping comes in, acting as a “story collector” for you, letting you know what’s happening in various industry circles and what people are talking about.
13. The era of artificial intelligence
Even web scraping bots are becoming outdated because they have certain limitations. They tend to follow a set of hard-coded rules. But using an intelligent parser script will help you obtain better and more useful data over time.
For instance, initially, when it collects data for you, you can train it to recognize which data it finds is correct and which is not. Through this continuous process of learning and testing, your scraper becomes smarter, and so does your business.