kashaziz

""" Perform sentiment analysis on product reviews of Amazon product """
import requests
from bs4 import BeautifulSoup
from textblob import TextBlob

def analyze_product_reviews(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.content, 'html.parser')

    reviews = soup.find_all('div', {'data-hook': 'review-collapsed'})

kashaziz

# input name of image folder
image_folder = str(input("Enter folder name to fetch images: ")).lower()
 
# instantiate Dropbox connection
dbx = dropbox.Dropbox('dropbox access token')
 
# proceed if image folder exists in Dropbox
if dbx.files_get_metadata(image_folder).path_lower == image_folder:
      
    # iterate through the files inside Dropbox folder

kashaziz

'''
Example of web scraping using Python and BeautifulSoup. 

Sraping ESPN College Football data 
http://www.espn.com/college-sports/football/recruiting/databaseresults/_/sportid/24/class/2006/sort/school/starsfilter/GT/ratingfilter/GT/statuscommit/Commitments/statusuncommit/Uncommited

The script will loop through a defined number of pages to extract footballer data. 
'''

from bs4 import BeautifulSoup