from bs4 import BeautifulSoup
import requests

html_page = requests.get('http://books.toscrape.com/') #Make a get request to retrieve the page
soup = BeautifulSoup(html_page.content, 'html.parser') #Pass the page contents to beautiful soup for parsing
warning = soup.find('div', class_="alert alert-warning")
book_container = warning.nextSibling.nextSibling

images = book_container.findAll('img')
ex_img = images[0] #Preview an entry
ex_img

#Use tab complete to preview what types of methods are available for the entry
ex_img.

#While there's plenty of other methods to explore, simply select the url for the image for now.
ex_img.attrs['src']

import shutil

url_base = "http://books.toscrape.com/"
url_ext = ex_img.attrs['src']
full_url = url_base + url_ext
r = requests.get(full_url, stream=True)
if r.status_code == 200:
    with open("images/book1.jpg", 'wb') as f:
        r.raw.decode_content = True
        shutil.copyfileobj(r.raw, f)

ls images/

import matplotlib.pyplot as plt
import matplotlib.image as mpimg

img=mpimg.imread('images/book1.jpg')
imgplot = plt.imshow(img)
plt.show()

import pandas as pd
from IPython.display import Image, HTML

row1 = [ex_img.attrs['alt'], '<img src="images/book1.jpg"/>']
df = pd.DataFrame(row1).transpose()
df.columns = ['title', 'cover']
HTML(df.to_html(escape=False))

data = []
for n, img in enumerate(images):
    url_base = "http://books.toscrape.com/"
    url_ext = img.attrs['src']
    full_url = url_base + url_ext
    r = requests.get(full_url, stream=True)
    path = "images/book{}.jpg".format(n+1)
    title = img.attrs['alt']
    if r.status_code == 200:
        with open(path, 'wb') as f:
            r.raw.decode_content = True
            shutil.copyfileobj(r.raw, f)
        row = [title, '<img src="{}"/>'.format(path)]
        data.append(row)
df = pd.DataFrame(data)
print('Number of rows: ', len(df))
df.columns = ['title', 'cover']
HTML(df.to_html(escape=False))