def test_mercado_libre_conection_status(self):
user_request = 'audifonos inalambricos'
country = 'mx'
ml_url = Mercado_Libre.adapt_url(Mercado_Libre, user_request, country)
ml_status = extract_soup(ml_url, 0, just_status=True)
self.assertEqual(ml_status, 200)
def test_Ebay_conection_status(self):
user_request = 'audifonos inalambricos'
country = 'mx'
ebay_url = Ebay.adapt_url(Ebay, user_request, country)
ebay_status = extract_soup(ebay_url, 0, just_status=True)
self.assertEqual(ebay_status, 200)
def test_there_is_soup(self):
user_request = 'audifonos inalambricos'
country = 'mx'
amz_url = Amazon.adapt_url(Amazon, country, user_request)
amz_soup = extract_soup(amz_url, 1, just_soup=True)
self.assertIsNotNone(amz_soup)
def test_there_is_soup(self):
user_request = 'audifonos inalambricos'
country = 'mx'
ml_url = Mercado_Libre.adapt_url(Mercado_Libre, country, user_request)
ml_soup = extract_soup(ml_url, 1, just_soup=True)
self.assertIsNotNone(ml_soup)
def test_conection_status(self):
user_request = 'audifonos inalambricos'
country = 'mx'
amazon_url = Amazon.adapt_url(Amazon, user_request, country)
amz_status = extract_soup(amazon_url, 0, just_status=True)
self.assertEqual(amz_status, 200)
def test_there_is_soup(self):
user_request = 'audifonos inalambricos'
country = 'mx'
ebay_url = Ebay.adapt_url(Ebay, user_request, country)
ebay_soup = extract_soup(ebay_url, 1, just_soup=True)
self.assertIsNotNone(ebay_soup)
def test_conection_status(self):
user_request = 'audifonos inalambricos'
amz_user_request_edited = user_request.replace(' ', Amazon.space_replacer)
amz_url = Amazon.url.replace(Amazon.url_replacers[0], '.mx')
amz_url = amz_url.replace(Amazon.url_replacers[1], amz_user_request_edited)
amz_status = extract_soup(amz_url, 0, just_status=True)
self.assertEqual(amz_status,200)
def test_mercado_libre_conection_status(self):
user_request = 'audifonos inalambricos'
ml_user_request_edited = user_request.replace(' ', Mercado_Libre.space_replacer)
ml_url = Mercado_Libre.url.replace(Mercado_Libre.url_replacers[0], '.mx')
ml_url = ml_url.replace(Mercado_Libre.url_replacers[1], ml_user_request_edited)
ml_status = extract_soup(ml_url, 0, just_status=True)
self.assertEqual(ml_status,200)
def test_get_brute_info_including_Nones(self):
user_request = 'audifonos inalambricos'
country = 'mx'
amz_url = Amazon.adapt_url(Amazon, country, user_request)
amz_soup = extract_soup(amz_url, 1, just_soup=True)
#New test
amz_boxes = search_boxes(amz_soup, Amazon.boxes)
self.assertEqual(len(amz_boxes), 60)
def test_conection_status(self):
user_request = 'audifonos inalambricos'
country = 'mx'
for Page in self.Pages:
page_url = Page.adapt_url(Page, user_request, country)
#New test:
conection_status = extract_soup(page_url, 0, just_status=True)
self.assertEqual(conection_status,200)
def test_extract_soup(self):
user_request = 'audifonos inalambricos'
country = 'mx'
for Page in self.Pages:
page_url = Page.adapt_url(Page, user_request, country)
#New test:
page_soup = extract_soup(page_url, 1, just_soup=True)
self.assertIsNotNone(page_soup)
def test_get_brute_info_including_Nones(self):
user_request = 'audifonos inalambricos'
country = 'mx'
ebay_url = Ebay.adapt_url(Ebay, user_request, country)
ebay_soup = extract_soup(ebay_url, 1, just_soup=True)
#New test
ebay_boxes = search_boxes(ebay_soup, Ebay.boxes)
self.assertIsNotNone(len(ebay_boxes))
def test_get_brute_info_without_losses(self):
user_request = 'audifonos inalambricos'
country = 'mx'
amazon_url = Amazon.adapt_url(Amazon, country, user_request)
amazon_soup = extract_soup(amazon_url, 1, just_soup=True)
amazon_boxes = search_boxes(amazon_soup, Amazon.boxes)
#New test
amazon_string_stars = get_brute_info(amazon_boxes, Amazon.stars)
self.assertEqual(len(amazon_boxes), len(amazon_string_stars))
def test_get_product_boxes(self):
user_request = 'audifonos inalambricos'
country = 'mx'
for Page in self.Pages:
page_url = Page.adapt_url(Page, user_request, country)
page_soup = extract_soup(page_url, 1, just_soup=True)
#New test
page_boxes = search_boxes(page_soup, Page.boxes)
self.assertIsNotNone(len(page_boxes))
def test_get_brute_info_including_Nones(self):
user_request = 'audifonos inalambricos'
country = 'mx'
ml_url = Mercado_Libre.adapt_url(Mercado_Libre, user_request, country)
ml_soup = extract_soup(ml_url, 1, just_soup=True)
#New test
ml_boxes = search_boxes(ml_soup, Mercado_Libre.boxes)
self.assertIsNotNone(len(ml_boxes))
def request_products(user_request, Page, header, home=False, country='mx'):
page_url = Page.adapt_url(Page, user_request, country)
# All the HTML of the page
page_soup, status = extract_soup(page_url, header)
# Wait until receive the info or been denied
if status == 503:
while status == 503:
time.sleep(1)
page_soup, status = extract_soup(page_url)
elif status == 200:
# HTML divided by products, and stored as elements of an array
page_boxes = search_boxes(page_soup, Page.boxes)
page_products = {}
# Obtain the info of the product
page_products['names'] = get_names(page_boxes, Page)
page_products['images'] = get_images(page_boxes, Page)
page_products['urls'] = get_products_urls(page_boxes, Page)
page_products['prices'] = get_price(country, page_boxes, Page, home)
page_products['status'] = status
return page_products
else:
page_products = {}
# With the empty values, not None, the script knows that this won't be
# uploaded. In case of one 'None', it thinks that there was a product box
# without info. Somethings that occurs in Amazon
page_products['store'] = Page.name
page_products['idx'] = Page.index
page_products['product'] = user_request
page_products['names'] = []
page_products['images'] = []
page_products['urls'] = []
page_products['prices'] = []
page_products['status'] = status
return page_products
def test_products_info_getters(self):
user_request = 'audifonos inalambricos'
country = 'mx'
ebay_url = Ebay.adapt_url(Ebay, user_request, country)
ebay_soup = extract_soup(ebay_url, 1, just_soup=True)
ebay_boxes = search_boxes(ebay_soup, Ebay.boxes)
getters = {
'ebay_names': len(get_names(ebay_boxes, Ebay.name_and_images)),
'ebay_images': len(get_images(ebay_boxes, Ebay)),
'ebay_urls': len(get_products_urls(ebay_boxes, Ebay)),
# 'ebay_price' : len(get_price(country, ebay_boxes, Ebay.price)),
}
for value in getters:
self.assertEqual(len(ebay_boxes), getters[value])
def test_products_info_getters(self):
user_request = 'audifonos inalambricos'
country = 'mx'
for Page in self.Pages:
page_url = Page.adapt_url(Page, user_request, country)
page_soup = extract_soup(page_url, 1, just_soup=True)
page_boxes = search_boxes(page_soup, Page.boxes)
#New test
page_names = len(get_names(page_boxes, Page))
page_images = len(get_images(page_boxes, Page))
page_urls = len(get_products_urls(page_boxes, Page))
page_price = len(get_price(country, page_boxes, Page))
trials = [page_names, page_images, page_urls, page_price]
for test in trials:
self.assertEqual(len(page_boxes), test)
def test_cheapest_gets_info(self):
user_request = 'audifonos inalambricos'
country = 'mx'
ml_url = Mercado_Libre.adapt_url(Mercado_Libre, user_request, country)
ml_soup = extract_soup(ml_url, 1, just_soup=True)
ml_boxes = search_boxes(ml_soup, Mercado_Libre.boxes)
meli_prices = get_price(country, ml_boxes, Mercado_Libre.price)
meli_cheapest_idx, meli_cheapest_price = cheapest(
meli_prices, position_and_price=True)
cheapest_ml_product_1 = get_cheapest(meli_cheapest_idx, ml_boxes,
meli_cheapest_price, country,
Mercado_Libre)
for value in cheapest_ml_product_1:
self.assertIsNotNone(cheapest_ml_product_1[value])
def test_products_info_getters(self):
user_request = 'audifonos inalambricos'
country = 'mx'
ml_url = Mercado_Libre.adapt_url(Mercado_Libre, user_request, country)
ml_soup = extract_soup(ml_url, 1, just_soup=True)
ml_boxes = search_boxes(ml_soup, Mercado_Libre.boxes)
getters = {
'ml_names': len(get_names(ml_boxes,
Mercado_Libre.name_and_images)),
'ml_images': len(get_images(ml_boxes, Mercado_Libre)),
'ml_urls': len(get_products_urls(ml_boxes, Mercado_Libre)),
'ml_price': len(get_price(country, ml_boxes, Mercado_Libre.price)),
}
for value in getters:
self.assertEqual(len(ml_boxes), getters[value])
def test_cheapest_gets_info(self):
user_request = 'audifonos inalambricos'
country = 'mx'
ebay_url = Ebay.adapt_url(Ebay, user_request, country)
ebay_soup = extract_soup(ebay_url, 1, just_soup=True)
ebay_boxes = search_boxes(ebay_soup, Ebay.boxes)
ebay_prices = get_price(country, ebay_boxes, Ebay.price)
ebay_cheapest_idx, ebay_cheapest_price = cheapest(
ebay_prices, position_and_price=True)
cheapest_ebay_product_1 = get_cheapest(ebay_cheapest_idx, ebay_boxes,
ebay_cheapest_price, country,
Ebay)
for value in cheapest_ebay_product_1:
self.assertIsNotNone(cheapest_ebay_product_1[value])
def test_products_info_getters(self):
user_request = 'audifonos inalambricos'
country = 'mx'
amazon_url = Amazon.adapt_url(Amazon, country, user_request)
amazon_soup = extract_soup(amazon_url, 1, just_soup=True)
amazon_boxes = search_boxes(amazon_soup, Amazon.boxes)
amazon_names = len(get_names(amazon_boxes, Amazon.name_and_images))
amazon_images = len(get_images(amazon_boxes, Amazon.name_and_images))
amazon_urls = len(get_products_urls(amazon_boxes, Amazon.product_urls))
amazon_price = len(get_price(country, amazon_boxes, Amazon.price))
amazon_ids = len(amazon_products_id(amazon_boxes))
amazon_reviews = len(get_reviews(country, amazon_boxes, Amazon.reviews))
amazon_stars = len(get_stars(country, amazon_boxes, Amazon.stars))
trials = [amazon_names, amazon_images, amazon_urls, amazon_price, amazon_ids, amazon_reviews, amazon_stars]
for test in trials:
self.assertEquals(len(amazon_boxes), test)
def scraper(Page, user_request, country):
#Adapt the url
url = Page.adapt_url(Page, country, user_request)
#All the HTML of the page
soup = extract_soup(url, 1, just_soup=True)
# #HTML divided by products, and stored as elements of an array
boxes = search_boxes(soup, Page.boxes)
# From this part, could get better AFTER the 4 scrapers are made
#From the Boxes, obtain the prices
prices = get_price(country, boxes, Page.price)
#Obtain the cheapest from prices and then, you obtain the cheapest product as a dictionary
cheapest_idx, cheapest_price = cheapest(prices, position_and_price=True)
cheapest_product_dictionary = get_cheapest(cheapest_idx, boxes,
cheapest_price, country, Page)
return cheapest_product_dictionary
def scraper(user_request, country):
#Adapt the url
ml_url = Mercado_Libre.adapt_url(Mercado_Libre, country, user_request)
#All the HTML of the page
ml_soup = extract_soup(ml_url, 1, just_soup=True)
# #HTML divided by products, and stored as elements of an array
ml_boxes = search_boxes(ml_soup, Mercado_Libre.boxes)
# From this part, could get better AFTER the 4 scrapers are made
#From the Boxes, obtain the prices
meli_prices = get_price(country, ml_boxes, Mercado_Libre.price)
#Obtain the cheapest from prices and then, you obtain the cheapest product as a dictionary
meli_cheapest_idx, meli_cheapest_price = cheapest(meli_prices,
position_and_price=True)
cheapest_ml_product_dictionary = get_cheapest(meli_cheapest_idx, ml_boxes,
meli_cheapest_price, country,
Mercado_Libre)
return cheapest_ml_product_dictionary
def scraper(user_request, country):
#Adapt the url
amazon_url = Amazon.adapt_url(Amazon, user_request, country)
#All the HTML of the page
amazon_soup = extract_soup(amazon_url, 1, just_soup=True)
# #HTML divided by products, and stored as elements of an array
amazon_boxes = search_boxes(amazon_soup, Amazon.boxes)
# From this part, could get better AFTER the 4 scrapers are made
#From the Boxes, obtain the prices
amazon_prices = get_price(country, amazon_boxes, Amazon.price)
#Obtain the cheapest from prices and then, you obtain the cheapest product as a dictionary
amazon_cheapest_idx, amazon_cheapest_price = cheapest(
amazon_prices, position_and_price=True)
cheapest_amazon_product_dictionary = get_cheapest(amazon_cheapest_idx,
amazon_boxes,
amazon_cheapest_price,
country, Amazon)
return cheapest_amazon_product_dictionary
#Obtain the cheapest from prices and then, you obtain the cheapest product as a dictionary
cheapest_idx, cheapest_price = cheapest(prices, position_and_price=True)
cheapest_product_dictionary = get_cheapest(cheapest_idx, boxes,
cheapest_price, country, Page)
return cheapest_product_dictionary
if __name__ == "__main__":
user_request = 'audifonos inalambricos'
country = 'mx'
ebay_url = Ebay.adapt_url(Ebay, user_request, country)
#All the HTML of the page
ebay_soup = extract_soup(ebay_url, 1, just_soup=True)
# #HTML divided by products, and stored as elements of an array
ebay_boxes = search_boxes(ebay_soup, Ebay.boxes)
# print(ebay_boxes)
ebay_products = {}
ebay_products['names'] = get_names(ebay_boxes, Ebay.name_and_images)
# #Ebay's images source (link)
ebay_products['images'] = get_images(ebay_boxes, Ebay)
ebay_products['urls'] = get_products_urls(ebay_boxes, Ebay)
ebay_products['prices'] = get_price(country, ebay_boxes, Ebay.price)
cheapest_idx = cheapest(ebay_products['prices'])
cheapest_amazon_product_dictionary = get_cheapest(amazon_cheapest_idx,
amazon_boxes,
amazon_cheapest_price,
country, Amazon)
return cheapest_amazon_product_dictionary
if __name__ == "__main__":
user_request = 'audifonos inalambricos'
country = 'mx'
amazon_url = Amazon.adapt_url(Amazon, user_request, country)
#All the HTML of the page
amazon_soup = extract_soup(amazon_url, 1, just_soup=True)
#HTML divided by products, and stored as elements of an array
amazon_boxes = search_boxes(amazon_soup, Amazon.boxes)
amazon_products = {}
amazon_products['name'] = get_names(amazon_boxes, Amazon.name_and_images)
'''Amazon's images source (link)'''
amazon_products['image'] = get_images(amazon_boxes, Amazon)
amazon_products['url'] = get_products_urls(amazon_boxes, Amazon)
'''Just Amazon's products id. Is used as a url generator:
amazon's url + domain + "/dp/" + product_id'''
# amazon_products['id']= amazon_products_id(amazon_boxes)
'''Just stars as float'''
amazon_products['star'] = get_stars(country, amazon_boxes, Amazon.stars)
from scrape_data import Mercado_Libre, Products
from scrape_funcs import extract_soup, search_boxes, get_brute_info
from data_filters import get_names, get_images, get_products_urls, get_price
from general_funcs import cheapest, get_cheapest
user_request = 'audifonos inalambricos'
country = 'mx'
ml_url = Mercado_Libre.adapt_url(Mercado_Libre, country, user_request)
#All the HTML of the page
ml_soup = extract_soup(ml_url, 1, just_soup=True)
#HTML divided by products, and stored as elements of an array
ml_boxes = search_boxes(ml_soup, Mercado_Libre.boxes)
ml_products = {}
ml_products['names'] = get_names(ml_boxes, Mercado_Libre.name_and_images)
#Mercado_Libre's images source (link)
ml_products['images'] = get_images(ml_boxes, Mercado_Libre.name_and_images)
ml_products['urls'] = get_products_urls(ml_boxes, Mercado_Libre.product_urls)
ml_products['prices'] = get_price(country, ml_boxes, Mercado_Libre.price)
cheapest = cheapest(ml_products['prices'])
cheapest_ml_product = get_cheapest(cheapest, ml_products)
for key in cheapest_ml_product:
print(key, ':', cheapest_ml_product[key])
