Contact us

Web scraping is an automated method used to extract large amounts of data from websites. The data on the websites are unstructured. Web scraping helps collect these unstructured data and store it in a structured form. There are different ways to scrape websites such as online Services, APIs or writing your own code.

Python is best for Web Scrapping

  • Ease of Use: Python is simple to code. You do not have to add semi-colons “;” or curly-braces “{}” anywhere. This makes it less messy and easy to use.
  • Large Collection of Libraries: Python has a huge collection of libraries such as Numpy, Matlplotlib, Pandas etc., which provides methods and services for various purposes. Hence, it is suitable for web scraping and for further manipulation of extracted data.
  • Dynamically typed: In Python, you don’t have to define datatypes for variables, you can directly use the variables wherever required. This saves time and makes your job faster.
  • Easily Understandable Syntax: Python syntax is easily understandable mainly because reading a Python code is very similar to reading a statement in English. It is expressive and easily readable, and the indentation used in Python also helps the user to differentiate between different scope/blocks in the code.
  • Small code, large task: Web scraping is used to save time. But what’s the use if you spend more time writing the code? Well, you don’t have to. In Python, you can write small codes to do large tasks. Hence, you save time even while writing the code.
  • Community: What if you get stuck while writing the code? You don’t have to worry. Python community has one of the biggest and most active communities, where you can seek help from.

Organized Data Collection (CSV, Google or Excel Sheets, JSON, XML, etc)

A file format is a standard way in which data is encoded for storage in a file. First, the file format specifies whether the file is a binary or ASCII file. Second, it shows how the data is organized. For example, comma-separated values (CSV) file format stores tabular data in plain text.

To identify a file format, you can usually look at the file extension to get an idea. For example, a file saved with name “Data” in “CSV” format will appear as “Data.csv”. By noticing “.csv” extension we can clearly identify that it is a “CSV” file and data is stored in a tabular format.

XML file format

XML is otherwise called Extensible Markup Language. As the name proposes, it’s anything but a markup language. It has certain principles for encoding data. XML file format is a comprehensible and machine-lucid record format. XML is a self-enlightening language intended for sending data over the web. XML is basically the same as HTML, yet has a few contrasts. For instance, XML doesn’t utilize predefined labels as HTML.

JSON file format

JavaScript Object Notation (JSON) is a text-based open standard format for exchanging the data over web. JSON format is used for transmitting structured data over the web. The JSON file format can be easily read in any programming language because it is language-independent data format.

Spreadsheet file format

In spreadsheet file format, data is stored in cells. Each cell is organized in rows and columns. A column in the spreadsheet file can have different types. For example, a column can be of string type, a date type or an integer type. Some of the most popular spreadsheet file formats are Comma Separated Values (CSV), Microsoft Excel Spreadsheet (xls) and Microsoft Excel Open XML Spreadsheet (xlsx).

Each line in CSV file represents an observation or commonly called a record. Each record may contain one or more fields which are separated by a comma.

Sometimes you may come across files where fields are not separated by using a comma but they are separated using tab. This file format is known as TSV (Tab Separated Values) file format.

Web Scrapping Products

Web scraping is the process of automating the process of data extraction in a fast and efficient manner. It implements the use of crawlers or robots that automatically scan specific pages on a website and extract the required information.

In this particular case, a web scraping software can browse through thousands of listings of your competitors’ products on an e-commerce site, and capture all the relevant details, like pricing, number of variants, customer reviews, etc., in a matter of few hours.

Not just that, it can even help extract data that is invisible to the naked eye or can’t be copy-pasted. Moreover, it can also take care of saving the extracted data in a meaningful and readable format. Usually, the extracted data is available in CSV format.

As you can see, web scraping can be a lot useful in extracting product data from e-commerce websites, no matter how large the data is.

web scrapers get better and more effective at extracting product data, the website admins are also coming up with creative ways of thwarting such attempts.

I will do web scraping, data mining and web crawling from any website to any format

Leave a Reply

Your email address will not be published. Required fields are marked *