Web Scraping using Python

1. Web Scraping using Python Web Scraping​​using python – a technique which can be used to extract a large amount of data from websites using some programs or applications and save it to your computer or to a database for further use. It is a technique to automate the process of collecting data from any website instead of collecting data manually. Whenever any website that doesn’t have their API to pull data for the user then web scraping techniques can play an important role. The beauty of web scraping is that you can scrap almost any content that is viewed on a web page. These days’ ​ web data scraping​ solutions are in the range from traditional ways of manual effort, semi- automated to fully automated scraping. Automated web scraping is often done using custom scripting or automation tools. Python is a powerful scripting language for web scraping. Codes written in Python can be connected to websites from where we want to pull data. Some big websites like Google, Twitter, Amazon, etc. have different APIs which allows third party tools to pull data from their website with some terms & conditions. So, mining these websites is not a tough call under some finite range of data provided you have expert support. After completing that range, they charge for extra data. Scraping these websites using hard coding without their API will not be a wise decision. It may be a cause of legal issues or even blocking your IP. In this article we will mainly focus on a second type of websites that haven’t any API to pull data from their websites. To pull data from these types of websites we use hard coding or web scraping software. Here we will see about that hard coding and how python is powerful for this purpose. Python is a scripting language which can be used for various purposes, especially in big data python is used very frequently due to its user friendly characteristics. Python is the most used language for scripting web scraping. There are many packages available in python which supports web scraping. Some of them are: Amazon API Wrapper This module offers a light-weight access to the latest version of the Amazon Product Advertising API without getting in your way. An object oriented interface to Amazon products which supports both item search and item lookup. Using this package you may pull Amazon product data from the Amazon website. Google Scraper

2. A module to scrape and extract links, titles and descriptions from Google search results. Flipkart This module helps you in book search on Flipkart. Scrapy Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. Crawl A powerful python module to find files in the set of paths. Web Scraper A python module for scraping data from any page. You may collect all data or some specific data using this python module. Py This module provides multithreaded crawling, reporting, and mirroring for Web and FTP in one convenient library. Crawling depth, maximum number of URLs to crawl, and maximum number of threads are user-configurable. You may adjust all these attributes according to your requirement. Today, web scraping is a powerful and economical way for web data mining or as the source of big data. Many specialized companies are focussed only in providing web scraping to clients. For more details visit https://blog.outsourcebigdata.com/outsource-web-scraping-using-python