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web_scrape-1's Introduction

Parsing of HTTPS, of facts for business, of images

  1. How to manually curate and scrape HTTPS, maps, and images using Python

  2. This is a tool for looking through a website to gather words, HTTPS as a CSV output.

Results

A) Tackle point 2 from https://www.nbwa.org/resources/industry-fast-facts
Run this script to output the context into output.csv

B) The location and distribution of the highest shares in 2021 beer-importing businesses are listed below map
B1) Other distribution businesses can be analyzed at https://www.nbwa.org/resources/industry-fast-facts

C) Use plotly.com to visualize the beer types from this beer distribution center
loaded as https://plotly.com.

D) Finally look through these websites and determine if any of these locations operate during these holidays.
Independence Day (4th of July)
Memorial Day
Labor Day
Christmas
Thanksgiving
The Super Bowl
Cinco de Mayo
Halloween
St. Patrick’s Day
NCAA Basketball

Python, pandas, JSON, beautiful soup

Author

David H. Gae

web_scrape-1's People

Contributors

ddgae2 avatar davidhyongae2 avatar

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