The Advantages & Disadvantages of Web Scraping Data

Knowledge is power. Information is liberating.” To achieve access to the perfect items of knowledge, you’re first going to need to collect some data. Web scraping, data mining and web crawling are effective methods that mean you can easily compile and store info from websites on the internet.

In this piece we will investigate what’s web scraping, the benefits and disadvantages of web scraping and some of the beneficial use cases for scraping data.

What is web scraping?

Web scraping refers to creating or utilizing a pc software to extract data from total websites or a few web pages. Also if you carry out web scraping, you can either download your complete web page or key points such because the tag or article body content for further analysis.

What are the benefits of web scraping for business?

Achieve Automation

Robust web scrapers allow you to automatically extract data from websites, this permits you or your co-workers to save time that may’ve have in any other case been spent on mundane data assortment tasks. It also means which you could acquire data at larger volume than a single human could ever hope to achieve.

Additionally it’s doable for you to create sophisticated web bots to automate online activities with either web scraping software or using a programming language comparable to javascript, python, go or php.

Enterprise Intelligence & Insights

Web scraping data from the internet allows you to search for competitor prices, monitor their marketing activity and to swiftly market research your industry online. By downloading, cleaning and analysing data at significant volume, you’ll be able to build a greater image of your market, your competitor’s activity which in flip will lead to better business determination making.

Unique and rich datasets

The internet provides you with a rich quantity of textual content, image, video and numerical data and at present contains a minimum of 6.05 billion pages. Relying upon what your goal is, yow will discover relevant websites, setup website crawlers after which make your own custom dataset for analysis.

For example, let’s fake you’re thinking about UK football and need to understand the sports market in depth.

You could setup webscapers to collect the following information:

Video Content: To download all the football games from YouTube or

Football Statistics: You could download your desired team’s historical match statistics.

WhoScored – Goal Data.


Betting Odds: You may gather the betting odds for football matches from bookmaker’s resembling Bet365 or from player betting exchanges resembling Betfair or Smarkets.

Create applications for tools that don’t have a public developer API

By web scraping data, you will never need to rely on the website releasing a public application programming interface (API) to access the data which they show on their webpages. There are several benefits to web scraping compared to accessing a public API:

You may access and acquire any data that is available on their website.

You are not limited to a specific number of queries.

You don’t have to sign up for an API key or need to abide by their rules.

Efficient Data Administration

Instead of copying and pasting data from the internet, you can select what data you would like to gather from a range of websites, then you’ll be able to accurately acquire it with web scraping. For more advanced web scraping / crawling techniques your data will be stored within a cloud database, and will likely be running on a day by day basis.

Storing data with automatic software and programs signifies that your company, operations or workers can spend less time copying and pasting data and more time on inventive work.

What are the disadvantages?

You will need to learn programming, use web scraping software or to pay a developer

If you’re looking to gather and organise a vast quantity of data from the internet, you will find that current web scraping software is limited in functionality. Although the software can be good for extracting several parts from a web page, as quickly as you need to crawl multiple websites they are less effective.

Subsequently you will must either spend money on learning web scraping methods in a programming language similar to javascript, python, ruby, go or php. Alternatively you can hire a freelance web scraping developer, regardless each of those approaches will add an overhead to your data assortment operations.

Websites recurrently change their construction and crawlers require upkeep

As websites repeatedly change their HTML construction, generally your crawlers will break. Whether you’re using web scraping software otherwise you’re writing the web scraping code, there is a certain amount of upkeep that needs to be repeatedly carried out to keep your data collection pipelines clean and operational.

For every website that you write a custom encoding script, adds on a specific amount of technical debt. If a number of websites that you just’re accumulating data from instantly determine to redesign their websites, you will must put money into fixing your crawlers.

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