SCRAP POPULAR SITES AND EXTRACT REQUESTED DATA

3

$9.95

SCRAP POPULAR SITES AND EXTRACT REQUESTED DATA
SCRAP POPULAR SITES AND EXTRACT REQUESTED DATA

$9.95

Description

WEB SCRAPING ASSIGNMENTS  IN PYTHON

AUTHOR
Sean-Michael Tulloch
Sean is a Software Engineer based in the UK who specializes in web scrapping and algorithm optimization.
From 2012 to 2015, he was a teaching Assistant within BSc Mathematics course  at the University of Aston.
He holds a Bachelors and Masters degree in Mathematics.

DESCRIPTION
Web Scraping is a technique to extract data from web sites through an automated process. It is a form of copying data from the web and store it in a database or spreadsheet.
This project is made up of  three different web scraping problems. The assignments  consist of extracting data, files or information from different websites.

Each problem involves building a different web scraper for the following sites:
– Wikipedia Easy
– Youtube. Advanced
Filebin. Easy

WHAT YOU WILL PRACTICE
Libraries:
You will need to import the following packages:  BeautifulSoup, requests, zipfile, csv and re.
Regex:
You will practice some basic  Regex  for pattern matching.
cURL
curl command with Python requests. See here for more information.
Python:
You will work with functions, loops, lists and  conditionals. You will have to unzip files and write data in a csv file.

DOWNLOAD / CONTENT
You will receive an email with a protected  ZIP  and a password to access the content. If you are a  registered user, the download is always available on your account.
-1 PDF with the problems description along with steps or guidelines to help you finish the exercises in case you get lost.
– 3 py files with the source code including explanations and comments about how the code works.

REQUIREMENTS
– Python 3

CONTACT
If you need additional information, do not hesitate to contact us.

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pdf, text, zip

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  1. Benjamin (verified owner)

    I got introduced to webscraping in my Master of data science. Beyond all doubt, I would recommend these assignments to anyone willing to learn webscraping. I think this is a great start for anyone interested in the field.

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