Thursday, 12 May 2016

Emergence of Python in Web Data Scraping

Websites are typically written in HTML, making each web page a structured document that you should be able to get information from using a process called web data scraping. This process relies mostly on an automated program that sifts through web pages to gather data in a format that is easier to interpret. At the same time, the data's structure is preserved. There are many ways to extract data from websites, and these include the use of APIs and high-end programming languages like Python.

While APIs are typically preferred for web scraping, there are instances where Python can be more useful and efficient, especially if you need to get data from a non-API website. Websites that do not use APIs do not want their readers to obtain a lot of structured information from them. Python can be a better way to get the data because of its rich and user-friendly ecosystem and libraries. Python offers two web scraping methods: urllib2 and Beautiful Soup. Code that is written in the latter is typically more robust.

Python is an interpreted and object-oriented programming language with dynamic semantics. With it, you can crawl web pages and extract relevant data in a format that is easy to analyze. Python may be the solution you need when you are trying to be better than your competitors, especially in business. Web extraction specialists prefer Python for its accuracy and efficiency. It is a user-friendly, scalable, and fast web data scraping tool. Custom web data scraping professionals can customize their services with Python to provide a bespoke web crawling data extraction software that is tailored to the needs of a business.

Web data scrapers that use Python ensure accurate and prompt results in your desired storage format, like Excel, JSON, CSV, or SQL DB. The most advanced web crawler extraction software combines automation and verification with advanced analytic capability to ensure reliable and accurate data. Python in web data scraping can be used in the extraction of data from various websites, including social media, business directories, real estate portals, and e-stores.

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