Data Standardization with Web Data Integration

Tarun S — Thu, 25 Jun 2020 11:48:19 +0000

Integrating web data manually or using traditional web scraping methods involves higher risks and costs because of challenges like incomplete, inaccurate, unreliable and out of date data. Web Data Integration provides high quality, extensive data which is ready for analysis. Therefore, organizations can get data from anywhere and analyze it instantly by using Web Data Integration. This way organizations don’t need to spend time and resources in standardizing, cleaning the data and are also ensured that the data is reliable.

To get an edge over competitors in this dynamic market, businesses are making more and more data-driven decisions. Web Data Integration provides huge opportunity for businesses to take this advantage of the available data. For example, online travel booking services, e-commerce, banking services, have been trying to provide all the services a customer may need and hence the competition has become fiercer in every industry
The most common use of web data for e-commerce includes monitoring the price of similar products, competitive research on the latest trends, leveraging social media to gain insights about customers feedback and expectations. Web Data gives your business such valuable insights which enable you to enhance your brand and improve customer loyalty by meeting customer needs.
Such valuable web data which can be provided without any delay whenever required can give your business the required edge over your competitors.

Our Web Data Integration solution includes extracting, cleaning, integrating and consuming data through the data standardization process. This can provide your business the required reliable data in the required format within minutes and hence save the ordeal of spending time and valuable resources on getting the accurate data. PromptCloud understands that providing accurate data in the standardized format is crucial as the business decisions are based on this data. Data is important and we believe in providing the highest level of quality data to people.

Advantages and Disadvantages of Web Scraping

Tarun S — Mon, 22 Jun 2020 13:41:11 +0000

What is web scraping?

As the name implies, web scraping means capturing and storing the online data displayed on an internet site. Web Scraping Service is nothing but an essential software facility capable of extracting information from the websites on the internet in a fast and efficient manner. There are scores of techniques of web scraping that operate automatically with the help of Hypertext Transfer Protocol or embedding the browsers to help users surf the internet all the time without any interruption. Live every other technology, Web Scraping also has a few advantages and disadvantages associated with it. Let us have a peek at them. Even though a vastly popular practice, web scraping also has its share of pros and cons.

The Advantages of Web Scraping:

Cost-Effective: Web Scraping Service provide an important service at a competitive cost. The data will have to collect back from websites and analyzed so that the internet functions regularly. Web scraping services manage to do this in a cost-effective and budget-friendly manner.
Low maintenance and Speed: Web Scraping does have a very low maintenance cost associated with it over a while. In that way, it helps plan the budget accurately. Also, web scraping saves a lot of time, as it can do a day’s manual work in a few hours.
Accuracy: Simple errors in data extraction can lead to major issues. Hence it is needed to ensure that the data is correct. Web Scraping is not only a fast process, but it’s accurate too. This reputation helps web scraping while collecting important data such as sales price, financial data to name a few.
Easy to Implement: Once a Web scraping service starts collecting data, you can rest assured that you are getting data from not just a single page but from the whole domain. With a one time investment, a lot of data can be collected.

The Disadvantages of Web Scraping :

Data Analysis of Data Retrieved Through Web Scraping: To analyze the retrieved data, it needs to be treated first. This often becomes a time-consuming work.
Difficult to Analyze: For those, who are not much tech-savvy and aren’t an expert, web scraping can be a confusing process. Even though, it’s not a major issue.
Speed and Protection Policies: Most of the web scraping services are slower than API calls. Many websites don’t allow screen scraping. It is a huge challenge to Web Scraping. Also, if any code of the target website gets changed, web scrapping stops capture the data.

Conclusion:
There may be a lot of advantages and disadvantages of web scraping that are present currently. But data scraping is the way forward and it has a drastic and great effect on organizations who want data. Data Scraping is a completely ethical and legal process.

DEV Community: Tarun S

Data Standardization with Web Data Integration

Advantages and Disadvantages of Web Scraping