Some websites can contain a very large amount of invaluable data stock prices product, details sports stats, person name, contact, etc. If you wanted to access this information you either have to use whatever format the website uses or copy and paste the information manually into a new document sheet. This can be pretty tedious when you want to extract a lot of information or data from a website. And here’s where web scraping can help.

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What is web scraping?

Web scraping refers to the extensions of data from a web site. Web scraping is a data-gathering system that can collect information. This information is collected and then consigned into a format that is more useful to the

users. For example, you can use web scraping to consign a list of product names and prices from amazon onto an excel spreadsheet while web scraping can be done manually. In most cases, software tools that run on your computer are preferred when scraping as they can be less expensive and work at a faster rate which is very helpful for work. But in most cases, web scraping is not a simple task when it comes to doing. Nowadays websites come in many shapes and forms and as a result, web scrapers can vary in functionality and characteristics.

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So how do we do web scraping and tackle complex sites?

Firstly we will be given one or more URLs to load before scraping. Then we load the entire HTML code for the page in question. More advanced scrapers will provide the entire website including CSS and JavaScript elements to do it better. Then we will either extract all the data on the page or specific data selected by the users before the project is run ideally. The users will go through the method of selecting the specific data they want from the page. 

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How do we do it?

We can scrape data generally by using two ways, by using coding or without coding. Everyone doesn’t know about coding or can hardly do it. But for better work, they need web scraping. In this case, some extensions or tools can help to do the scraping. These tools and extensions designed with coding for this we don’t need to do any hard work for scraping. But for some sites, it may not be useful. For these sites, coding is a must. 

After adding web scraping extensions to the toolbar from the chrome web store we will be able to do web scraping. There are many extensions for web scraping at the chrome web store. Some of them are free or some of them are paid. Firstly I’m gonna tell how we are gonna scrape by using tools and extensions…..

Their lists are given below; 

For example, you might want to scrape an amazon product page price and designs but are not necessarily interested in product reviews. Eventually, we will output the data that has been collected into a format that is more valuable to the user. Most of us will output data to CSV or Excel spreadsheets while more advanced scrapers will support other formats such as JSON which can then be used for an API.

We can also come in many different forms with very different features on a case-by-case basis. For example, we can come as a browser extension or a more powerful desktop application that is downloaded to our computer. We can also scrape sites locally from our computer using our computer resources and our internet connection or work on the cloud without using our computer resources or our internet connection. We can also build our web scraper if we want to after some coding course. By this point, we can probably think of several different ways in which web scrapers can be used. A few uses include scraping stock prices to make better investment decisions.

For example,

 

  • scraping data from the yellow page to generate leads***
  • scraping data from a store locator to create a list business location ***
  • scraping product data from various sites like Amazon or eBay for competitor analysis or scraping sports stats for better or fantasy leagues***

     

    The list of things we can do with web scraping is almost endless. After all, it’s all about what we can do with the data we have collected and how valuable we can make it. So now that we know the basics of web scraping.

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