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ShopeeCrawler.py
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ShopeeCrawler.py
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"""
Created on Sat Mar 28 18:30:51 2020
@author: axot
"""
import time
import argparse
from tqdm import tqdm
import pandas as pd
from bs4 import BeautifulSoup
from selenium import webdriver
import requests
def parse_args(cmd=''):
parser = argparse.ArgumentParser()
parser.add_argument('-dp', '--driver_path', type=str, default='',
help='path to your chrome driver')
parser.add_argument('-t', '--sleep_time', type=float, default=0,
help='sleep_time after your driver get info')
parser.add_argument('-k', '--keyword', type=str,
help='search keyword')
parser.add_argument('-p', '--pages', type=int, nargs='*', default=[0, 0],
help='your start page and end page')
if cmd != '':
return parser.parse_args(cmd)
else:
return parser.parse_args()
class ShopeeCrawler():
def __init__(self, driver_path='', sleep_time=0):
self.base_url = f'https://shopee.tw/'
self.headers = {
'User-Agent': 'Googlebot',
'From': 'YOUR EMAIL ADDRESS'
}
self.number_filter = '0123456789.'
# check if we want to use webdriver to get html after js render
if driver_path != '':
self.driver = webdriver.Chrome(driver_path)
else:
self.driver = None
self.sleep_time = sleep_time
def __del__(self):
if self.driver is not None:
self.driver.close()
def get_float_number(self, text):
return float(''.join(filter(lambda ch: ch in self.number_filter, text)))
def get_product_info(self, product_name):
'''
Description:
get seller info by product_name
Parameters
----------
product_name : str
product name.
Returns
-------
product_info : dict
'''
url = self.base_url + product_name
if self.driver is not None:
self.driver.get(url)
time.sleep(self.sleep_time)
pageSource = self.driver.page_source
else:
pageSource = requests.get(url, headers=self.headers).text
soup = BeautifulSoup(pageSource, 'lxml')
product_info = soup.find("div", class_="flex flex-auto k-mj2F")
# get average price
prices = product_info.find("div", class_="_3n5NQx").contents[0].split('-')
prices = [self.get_float_number(p) for p in prices]
avg_price = sum(prices) / len(prices)
rating = float(product_info.find("div", class_="_3Oj5_n _2z6cUg").contents[0])
comments_num = float(product_info.find_all("div", class_="_3Oj5_n")[1].contents[0])
sold_num = float(product_info.find("div", class_="_22sp0A").contents[0])
style_num = len(product_info.find_all("div", class_="flex items-center crl7WW")[0].find_all("button"))
img_num = len(soup.find_all("div", class_="_2MDwq_"))
description_len = len(soup.find("div", class_="_2u0jt9").find('span').contents[0])
remain_num = self.get_float_number(product_info.find("div", class_="_1FzU2Y").find_all('div')[-1].contents[0])
try:
transport_free = self.get_float_number(product_info.find("div", class_="_2mwtMq").contents[0])
except:
transport_free = None
try:
seller_name = soup.find("div", class_="_3Lybjn").contents[0]
except:
seller_name = None
return [avg_price, rating, comments_num, sold_num, style_num,
img_num, description_len, remain_num, transport_free, seller_name]
def get_all_product_csv(self, save_name, products_name_page):
'''
get product info csv (without seller info)
Parameters
----------
save_name : str
output csv save name
products_name_page : int
.products page in search result
Returns
-------
None
'''
columns = ['product_name', 'page', 'avg_price', 'rating', 'comments_num', 'sold_num', 'style_num',
'img_num', 'description_len', 'remain_num', 'transport_free', 'seller_name']
products_info_list = []
for product_name_page in tqdm(products_name_page):
try:
products_info_list.append([product_name_page[0]] + [product_name_page[1]] + self.get_product_info(product_name_page[0]))
except KeyboardInterrupt:
return -1
except:
pass
product_infos = pd.DataFrame(columns=columns, data=products_info_list)
product_infos.to_csv(save_name, index=None)
def get_seller_info(self, seller_name):
'''
Description:
get seller info by name
Parameters
----------
seller_name : str
seller name.
Returns
-------
seller_info : dict
'''
if seller_name is None:
return [None] * 7
# get html
url = self.base_url + str(seller_name)
pageSource = requests.get(url, headers=self.headers).text
soup = BeautifulSoup(pageSource, 'lxml')
# get seller info
seller_page = soup.find('div', class_='section-seller-overview-horizontal__seller-info-list')
if seller_page is None:
return [None] * 7
seller_info = [item.contents[0]
for item in seller_page.find_all("div", class_="section-seller-overview__item-text-value")]
# sometimes there is no canceled rate in seller info
if len(seller_info) >= 13:
product_num = seller_info[0]
watching = seller_info[2]
response_rating = self.get_float_number(seller_info[4]) * 0.01
canceled_rate = self.get_float_number(seller_info[6]) * 0.01
follower_num = seller_info[8]
comment_info = seller_info[10].split(' ')
comment_rating = float(comment_info[0])
comment_num = comment_info[1]
else:
product_num = seller_info[0]
watching = seller_info[2]
response_rating = self.get_float_number(seller_info[4]) * 0.01
canceled_rate = None
follower_num = seller_info[6]
comment_info = seller_info[8].split(' ')
comment_rating = comment_info[0]
comment_num = comment_info[1]
return [product_num, watching, response_rating, canceled_rate, follower_num,
comment_rating, comment_num]
def get_seller_infos(self, seller_name_list):
'''
get all seller infos by seller name list
Parameters
----------
seller_name_list : str[]
seller name list
Returns
-------
seller_infos : auto[]
all seller info
'''
seller_infos = {}
for seller_name in seller_name_list:
if not seller_infos.__contains__(seller_name):
seller_infos[seller_name] = self.get_seller_info(seller_name)
return seller_infos
def get_search_page_products_name(self, keyword, start_page=0, end_page=0):
'''
Description:
Get products name list by search keyword
Parameters
----------
keyword : str
shopee search keyword.
start_page : TYPE, optional
start page to search. default is 0
end_page : TYPE, optional
end page to search. The default is 0.
Returns
-------
products_name : str[]
products name list
'''
products_name_page = []
for page in range(start_page, end_page + 1):
print('searching page:', page)
url = self.base_url + 'search?keyword=%s&page=%d' % (keyword, page)
r = requests.get(url, headers=self.headers)
soup = BeautifulSoup(r.text, 'lxml')
all_items = soup.find_all("div", class_="col-xs-2-4 shopee-search-item-result__item")
for item in all_items:
products_name_page.append((item.find('a').get('href'), page))
return products_name_page
def get_allcsv(self, keyword, start_page, end_page):
'''
Description
get product info csv by search keyword from start_page to end_page
Parameters
----------
keyword : str
search keyword.
start_page : int
start search page
end_page : TYPE
end search page
Returns
-------
None.
'''
products_name_page = self.get_search_page_products_name(keyword, start_page, end_page)
# get product info
print('get product info')
save_name = keyword + '_product_infos_page%d-%d.csv' % (start_page, end_page)
self.get_all_product_csv(save_name, products_name_page)
csv = pd.read_csv(save_name)
# get seller_info
print('get seller_info')
seller_info_column = ['product_num', 'watching', 'response_rating', 'canceled_rate',
'follower_num','comment_rating', 'comment_num']
sellers_name_list = csv['seller_name']
seller_infos = self.get_seller_infos(sellers_name_list)
# match seller_info by product_info[seller_name]
print('matching')
seller_data = []
for seller_name in sellers_name_list:
seller_data.append(seller_infos[seller_name])
# combine csv
seller_csv = pd.DataFrame(data=seller_data, columns=seller_info_column)
csv = pd.concat([csv, seller_csv], axis=1)
csv.to_csv(save_name, index=None)
if __name__ == "__main__":
args = parse_args()
shopee_crapper = ShopeeCrawler(driver_path=args.driver_path, sleep_time=args.sleep_time)
shopee_crapper.get_allcsv(args.keyword, start_page=args.pages[0], end_page=args.pages[1])
del shopee_crapper