re-organize code to show ETL phases, add comments
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phase4/main.py
109
phase4/main.py
@ -2,6 +2,8 @@ import requests
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from bs4 import BeautifulSoup
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import csv
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### EXTRACTION ###
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# get soup from url
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def get_html(url):
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r = requests.get(url, headers = {'User-agent': 'yann@needsome.coffee'})
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@ -25,14 +27,7 @@ def product_information(soup):
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product_info['Availability'] = availability
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return product_info
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# get relative link from page and build the full URL
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def get_image_url(soup, url):
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link = soup.img.get('src')
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url_site = "https://" + url.split('/')[2]
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img_url = url_site + "/" + link.replace('../', '')
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return img_url
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# get full description as string
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# extract full description as string
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# luckily this <p> was the only one without class
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# and manage the case where there's no description
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def product_description(soup):
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@ -43,11 +38,58 @@ def product_description(soup):
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return desc
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# get category from breadcrumb
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# extract category from breadcrumb
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def get_category(soup):
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bread = soup.find("ul", class_="breadcrumb").find_all("a")[-1].text
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return bread
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# get product list url from a given url category page;
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# extract and build each product url using the main url (second arg)
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def get_product_url_list(url_category_page, url):
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liste = []
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soup = get_html(url_category_page)
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for i in soup.find_all("article"):
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relative_url = i.h3.a.get('href')
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product_url = url + "catalogue/" + relative_url.split('../')[-1]
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liste.append(product_url)
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return liste
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# check if a category has multiple pages and extract URLs
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def check_for_pages(category_url):
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soup_catego = get_html(category_url)
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total = int(soup_catego.form.strong.text)
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url_list = [category_url]
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if total > 20:
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new_url_base = category_url.replace('index.html','')
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j = 2
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for i in range(total//20):
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page = "page-" + str(j) + ".html"
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url_list.append(new_url_base + page)
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j += 1
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return url_list
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# get category and URL from side div and put them as a list [catego, url] in a list
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def get_category_list(soup, url):
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catego_info = []
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catego_dict = {}
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for li in soup.find("div", class_="side_categories").find_all("li")[1:]:
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catego_info.append([li.a.get_text(strip = True).lower(), url + li.a.get('href')])
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catego_dict[li.a.get_text(strip = True).lower()] = url + li.a.get('href')
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return catego_info
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### TRANSFORMATION ###
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# get relative link from page and build the full URL
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def get_image_url(soup, url):
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link = soup.img.get('src')
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url_site = "https://" + url.split('/')[2]
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img_url = url_site + "/" + link.replace('../', '')
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return img_url
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# create a list with all information consecutively
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# /!\ don't know if that's the best way
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def get_data(soup, url):
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@ -62,10 +104,10 @@ def get_data(soup, url):
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product_information(soup)['Number of reviews'],
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get_image_url(soup, url)
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]
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return info
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### LOAD ###
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# write the file
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def data_output(info, file):
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file = file + ".csv"
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@ -90,45 +132,6 @@ def data_output(info, file):
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# get category and URL from side div and put them as a list [catego, url] in a list
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def get_category_list(soup, url):
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catego_info = []
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catego_dict = {}
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for li in soup.find("div", class_="side_categories").find_all("li")[1:]:
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catego_info.append([li.a.get_text(strip = True).lower(), url + li.a.get('href')])
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catego_dict[li.a.get_text(strip = True).lower()] = url + li.a.get('href')
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return catego_info
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def check_for_pages(category_url):
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soup_catego = get_html(category_url)
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total = int(soup_catego.form.strong.text)
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url_list = [category_url]
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if total > 20:
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new_url_base = category_url.replace('index.html','')
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j = 2
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for i in range(total//20):
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page = "page-" + str(j) + ".html"
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url_list.append(new_url_base + page)
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j += 1
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return url_list
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# get product list url from a given url category page;
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# extract and build each product url using the main url (second arg)
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def get_product_url_list(url_category_page, url):
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liste = []
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soup = get_html(url_category_page)
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for i in soup.find_all("article"):
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relative_url = i.h3.a.get('href')
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product_url = url + "catalogue/" + relative_url.split('../')[-1]
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liste.append(product_url)
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return liste
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# collect category from all
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# then grab all product for each and write a file with category name
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@ -136,6 +139,7 @@ def main():
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# init
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url = "https://books.toscrape.com/"
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### EXTRACTION ###
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# get html from URL
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soup = get_html(url)
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@ -145,6 +149,7 @@ def main():
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processed_books = 0
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print(total_books, " à traiter répartis en ", total_category, " catégories.\nGo.")
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# go ahead for each category
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for line in get_category_list(soup, url):
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category = line[0]
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@ -165,6 +170,7 @@ def main():
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print(len(product_url_list), " livres présents")
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processed_books += len(product_url_list)
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### TRANSFORMATION ###
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# PHASE 3 : combine with phase 1 and write in csv for each url from product_url_list named with category
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data = []
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img_nb = 1
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@ -175,6 +181,7 @@ def main():
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# print(phase1.get_data(page_soup, page_url))
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data.append(get_data(page_soup, page_url))
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### LOAD ###
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# PHASE 4 : get img for every book and name it with category and incremental number
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img_url = get_image_url(page_soup, page_url)
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with open(category + "-" + str(img_nb) + ".png", "wb") as img_file:
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@ -184,6 +191,8 @@ def main():
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print(processed_books, " livres traités")
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print(total_books - processed_books, " livres restants")
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print(total_category, " catégories restantes")
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### LOAD ###
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print("Done.\n Fichier " + data_output(data, category))
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