Semalt: Types Of Data You Can Extract With Web Scraping Tools

Web pages are built with text-based languages such as XHTML and HTML and contain a wealth of information in both text and image forms. Most of the web pages are designed for people, not for bots. Currently, there are various scraping tools to extract data from websites, and companies like Google, eBay or Amazon. The new forms of web scraping involve listening to the data feeds from the web servers. For instance, JSON is widely used and is a powerful transport and storage mechanism.

However, there are cases when even the best and most reliable web scraping technologies cannot replace the human's manual examination and copy-paste operations. If you are looking to scrape any type of data either manually or through software, you first have to understand what type of data can be scraped with tools like

1. Real estate data:

The data present on the real estate websites can be extracted, and it is a huge and fast-growing web scraping area. The real estate data is frequently scraped to gather information about products and their prices, the services offered and enter the business world in no time. Almost all startups use web scraping tools to extract data from these or those real estate web pages.

2. Email Addresses gathering:

Experts and digital marketers are often hired to collect email addresses from hundreds to thousands of people. It is intended to grow and expand a business by sending bulk emails and attracting more and more customers. Data is often collected through newsletters, and it is scraped and arranged for offline uses.

3. Product Review Scrapes:

Various companies want their products to get reviewed and collect data from other similar websites using a number of web scraping tools. They aim to hold a tough competition to their rivals and want to sell particular products using this method.

4. Scraping to create duplicate websites:

Scraping is often done to create duplicate websites and blogs. For instance, if a news outlet has become famous, people can start scraping its content and stealing its articles almost daily. They don't only extract its data but also create duplicate websites for financial gains. A good example is

5. Social media sites:

Sometimes data is collected and scraped from such social media sites such as Twitter, Facebook, Google+ and others. A lot of social media marketing companies and digital marketers collect information from social networking sites for personal blogs.

6. Data for research purposes:

Various scholars, students, and professors collect data in the form of journals and eBooks for educational purposes. This type of data is usually collected from the government websites and education blogs. Different research companies pay their scrapers heavily or implement powerful web scraping techniques to scrape data from the famous education blogs.

7. One time scraping:

It is when you require data from a specific site for a particular purpose and won't use it more than once. In other words, we can say that one-time scraping is done to obtain meaningful data that may not be reused ever again.

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