Masglo _Color _Analysis.py

import requests
import pandas as pd
from bs4 import BeautifulSoup
from PIL import Image

#Scrapping images and extracting color

website = "https://masglo.com/product-category/esmaltes/"
product_images=[]

for i in range(2,11):   
    # download page
    website2="https://masglo.com/product-category/esmaltes/"+"page/"+str(i)+"/"
    result = requests.get(website2)
    
    # if successful parse the download into a BeautifulSoup object 
    if result.status_code == 200:
        soup = BeautifulSoup(result.content, "html.parser")
        
    # find the images within the page
    table2 = soup.find_all(itemprop="image")
     
    for j in table2:
        product_images.append(j['src'])
        
 #Then you need to extract the name from the url using some regular expressions
colors=pd.DataFrame(product_images,columns=['url'])
colors['name']=colors['url'].str.rsplit('uploads/',expand=True)[1]
colors['name']=colors['name'].str.rsplit('-37',expand=True)[0]


#Extract RGB colors
color_list_r=[]
color_list_g=[]
color_list_b=[]

for i in colors['url']:

    filename=i
    img = Image.open(requests.get(filename, stream=True).raw)
    rgb_img = img.convert('RGB')
    r, g, b = rgb_img.getpixel((188, 422)) #this pixel happens to contain always the color of the product
    color_list_r.append(r)
    color_list_g.append(g)
    color_list_b.append(b)
    
colors['r']=color_list_r
colors['g']=color_list_g
colors['b']=color_list_b

#Converting RGBs to HEX

def rgb2hex(r,g,b):
    return "#{:02x}{:02x}{:02x}".format(r,g,b)

colors['HEX']=colors.apply(lambda row: rgb2hex(row['r'],row['g'],row['b']),axis=1)