Write a Python script to scrape this website: https://en.wikipedia.org/wiki/List of countries by carbon dioxide emissions per capita Scrape the "Production-based emissions: annual carbon dioxide emissions in metric tons per capita" for the data. Use the functionality of Beautifulsoup to scrape the data. Scrape the columns: "Country Name","1980","2018". Store the scraped data in a defaultdict. Convert your script from part1 into a Python Class. The Web scraping class encapsulates all the webscraping functions in the WebscrapingV3.py example file, except for the File and Image scraping functions.
Write a Python script to scrape this website: https://en.wikipedia.org/wiki/List of countries by carbon dioxide emissions per capita Scrape the "Production-based emissions: annual carbon dioxide emissions in metric tons per capita" for the data. Use the functionality of Beautifulsoup to scrape the data. Scrape the columns: "Country Name","1980","2018". Store the scraped data in a defaultdict. Convert your script from part1 into a Python Class. The Web scraping class encapsulates all the webscraping functions in the WebscrapingV3.py example file, except for the File and Image scraping functions.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
![<Part1>
Write a Python script to scrape this website:
https://en.wikipedia.org/wiki/List
of countries by carbon dioxide emissions per capita
Scrape the "Production-based emissions: annual carbon dioxide emissions in metric tons per capita" for the data. Use the functionality of Beautifulsoup to
scrape the data. Scrape the columns: "Country Name","1980","2018". Store the scraped data in a defaultdict.
<Part2>
Convert your script from part1 into a Python Class. The Web scraping class encapsulates all the webscraping functions in the WebscrapingV3.py example file,
except for the File and Image scraping functions.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5483afab-7850-40f6-959f-e698dea1419a%2F0f5b8b7c-cd2c-4650-b3d1-12f55a53dbf3%2Fvilr73_processed.png&w=3840&q=75)
Transcribed Image Text:<Part1>
Write a Python script to scrape this website:
https://en.wikipedia.org/wiki/List
of countries by carbon dioxide emissions per capita
Scrape the "Production-based emissions: annual carbon dioxide emissions in metric tons per capita" for the data. Use the functionality of Beautifulsoup to
scrape the data. Scrape the columns: "Country Name","1980","2018". Store the scraped data in a defaultdict.
<Part2>
Convert your script from part1 into a Python Class. The Web scraping class encapsulates all the webscraping functions in the WebscrapingV3.py example file,
except for the File and Image scraping functions.
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