1 Introduction
Welcome to the fourth lab! In this lab we will create our own code for crawling websites. The lab instructions are set as minimum expectations. You are always encouraged to go beyond the expectations. Challenge yourself, have fun, and learn more!
Remember that when you have finished your lab activities, you need to show your final results to your TA. They will provide feedback if necessary and record your mark.
2 Setting Up
Make sure you have a properly working version of the queue module in the folder you will be working in for this lab. Then create a module called crawling.py. All of your functions for this lab will be written in this module.
3 Tasks
Familiarize yourself with your breadth-first search and Beautiful Soup code from the previous two labs. With this information on hand, you are tasked with creating your own website crawler. This crawler will create a directed graph showing the connections between all of the webpages you have crawled. Your crawler should stop once it has crawled 100,000 webpages or once it has run out of webpages to crawl to.
There are a few things to note when crawling webpages:
The urls of webpages contain the string ‘http’
Webpages do not contain image or pdf suffixes
An edge should be added between every linked webpage, whether it has been seen previ- ously or not.
It is recommended that you add a section to your code to save your graph every 500 crawled webpages (HINT: Look into write gexf in NetworkX). This will give you graph data to work with in the event that your crawler crashes.
It is also recommended that you print every url you crawl so you can see your code working during the process.
Deliverable: Submit all your code to the Canvas. Your code should have internal documenta- tion (or comments) explaining each line of code and instructions.
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