Web Scraping has become more popular in the year 2015 with more than thousands of websites being scraped daily. Because of the recent growth in scraping the methods and ways of scraping a website has changed. One of the bigger threats to sites are scrapers using python code to scrape a site.
One way that scrapers have been implementing python to scrape sites is by importing the requests ad lxml libraries to Python. This allows you to be able to send requests to a website and then store the responses in a tree. With the developments of Firebug and other debugging software Python can use xpaths to be able to search every page on the site for specific elements.
Since scraping with Python is so easy developers have figure out how to automate scripts for each site they want to scrape. One of these automation frameworks is a framework called Scrapy. This framework prides itself on being a fast crawler, and has come from the original Python’s libraries.
With Scrapy it’s easy to build a web scraper. You just need to install it properly and then enter some code about what sites you want to scrape and what parts you of the sites you want to keep. In Scrapy a web crawler can be made in 15 lines of boiler code. Proving that scraping with python is becoming a legitimate threat.
Python however leaves a trail exposing the scrapers and allowing them to be block. However the trail isn’t always easy to find and can sometimes lead to dead ends. With constant traffic monitoring and 24/7 analysis python scrapers can be stopped. ScrapeSentry can provide you a one stop traffic analysis and anti-scraping solution to stop all those pesky invaders and scrapers.