Semalt Shares 5 Trending Content Or Data Scraping Techniques
Web scraping is an advanced form of data extraction or content mining. The goal of this technique is to obtain useful information from different web pages and transform it into the understandable formats such as spreadsheets, CSV and database. It's safe to mention that there are numerous potential scenarios of data scraping, and public institutes, enterprises, professionals, researchers and non-profit organizations scrape data almost daily. Extracting the targeted data from blogs and sites assists us to take effective decisions in our businesses. The following five data or content scraping techniques are trending these days.
1. HTML Content
All web pages are driven by HTML, which is considered the basic language for developing websites. In this data or content scraping technique, the content that is defined in HTML formats appear in the brackets and is scraped in a readable format. The purpose of this technique is to read the HTML documents and transform them into the visible web pages. Content Grabber is such a data scraping tool that helps extract data from the HTML documents easily.
2. Dynamic Website Technique
3. XPath Technique
XPath technique is a critical aspect of the web scraping. It is the common syntax for choosing the elements in XML and HTML formats. Every time you highlight the data you want to extract, your selected scraper will transform it into readable and scalable form. Most of the web scraping tools extract information from web pages only when you highlight the data, but XPath-based tools manage the data selection and extraction on your behalf making your work easier.
4. Regular Expressions
With the regular expressions, it is easy for us to write the expressions of desire within the strings and extract useful text out of the giant websites. Using Kimono, you can perform a variety of tasks on the Internet and can manage the regular expressions in a better way. For instance, if a single web page contains the entire address and contact details of a company, you can easily obtain and save this data using Kimono like web scraping programs. You can also try regular expressions to split the address texts into separate strings for your ease.
5. Semantic Annotation Recognition
The web pages being scraped might embrace the semantic makeup, annotations or metadata, and this information is used to locate the specific data snippets. If the annotation is embedded in a web page, semantic annotation recognition is the only technique that will display the desired results and store your extracted data without compromising on quality. So, you can use a web scraper that can retrieve the data schema and useful instructions from different websites conveniently.