打开产品页，爬取商品数据及评论数据
"""====================================================================================================================
@function : 沃尔玛部分商品数据及评论
==================================================================================================================="""
import math
import random
import re
import time
import json
import requests
from loguru import logger
from bs4 import BeautifulSoup
from concurrent.futures import ThreadPoolExecutor
from utils.request import Request
from utils.common import sleep2, open_gsheet, gsheet_append_rows, gsheet_append_row
class Walmart:
def __init__(self):
self.headers = {
'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
'accept-encoding': 'gzip, deflate, br',
'accept-language': 'zh-CN,zh;q=0.9',
# 'cookie': '_pxhd=d72621e2b07c28a1f2429308c9da062a968286848d7a67d48b826e44e9f57c16:6ef3bd8c-6be6-11ed-b9df-54655163516d; ACID=e598249c-061a-4b4c-9eb8-1106ce5ba705; hasACID=true; assortmentStoreId=3081; hasLocData=1; TB_Latency_Tracker_100=1; TB_Navigation_Preload_01=1; TB_SFOU-100=; vtc=Y--TgPPEE7yosKPSHqcBes; adblocked=false; _pxvid=6ef3bd8c-6be6-11ed-b9df-54655163516d; TBV=7; ak_bmsc=3F7F036150778BD906468CC9836379D7~000000000000000000000000000000~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; AID=wmlspartner%3D0%3Areflectorid%3D0000000000000000000000%3Alastupd%3D1669363454690; SSP_AB_876878678=variant4; _sp_id.ad94=8d0a7c17-fbf8-467d-a9ba-4bb84c5d8b15.1669363456.1.1669363457.1669363456.57b5107c-5e00-4236-8521-e609c3a088c9; auth=MTAyOTYyMDE4sOs7grBquFdCsQ1KdvDrcOTmXMug5%2BkjMP9IqpTgOi9c0USZNbwUpRiFfzabmHV7cLjt3a6BLA1dQYOlV1UE3HG0Bu%2FjqjIgY24l%2FLCnfnKtCSg6tOwIrOJWz9pbPVRa767wuZloTfhm7Wk2KcjygglTqinKgSpV0hco0QKmh1CAigaMdpoVcnngFCXLA4W3CVzjPiulKykwUVaGCPu68lQQad6werBfNn3EPlJLUZMUMk70P8glgOEpLOprhDfMM%2FFHGZ2dCNmxWrdkwqEKrmM4g2ZwETkJBXsO4XI7ngKvEWLkn%2BsZkFImeMkZQ2wNxjrRXBn%2FYaysjpT8fbqa71ElzYH5XGp66ajg5XBJ9yHJPa8XnPZpaj74sesKFnw3G9%2FsQOyCpo2g3hWHrfWiO5E5WBBdZBCyKnCQAR7o6eg%3D; bstc=U3RhyBFrPyfYiLFZAeHlFw; mobileweb=0; xptc=assortmentStoreId%2B3081; xpth=x-o-mverified%2Bfalse; xpa=; xpm=3%2B1669367780%2BY--TgPPEE7yosKPSHqcBes~%2B0; xptwj=rq:df473d75ec6d508af5e4:iFWmVk4rGz4HpXMQNtyRKRNv9mHbgiU0omZCUt206o+q76hwAUNtCT5Bk3iKPWty3FOFwQX2ddBTpXArrtrSPrUTqfxizaGsb4QcyOyd4WakTvMS6njx6iF/6Ic=; akavpau_p2=1669368382~id=ac082d35ca28c6ad1ebc826e1cdfc8a1; _astc=0c9c838905902e12f12b6ed908078e67; pxcts=d4d3d132-6ca1-11ed-acc7-56564173716f; _pxff_cfp=1; com.wm.reflector="reflectorid:0000000000000000000000@lastupd:1669367783000@firstcreate:1669363411941"; locGuestData=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%3D; locDataV3=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%3D; xptwg=2169576909:DB1D04C9345370:233BCB8:6478263:7F9EE5C1:7362492A:; TS012768cf=01591e720763923c39bed01a647e0fda982c328d2935f335df1eac7a0fd972bf432d48c5a6a1813506cb2d6e52492cd32c9dfc216b; TS01a90220=01591e720763923c39bed01a647e0fda982c328d2935f335df1eac7a0fd972bf432d48c5a6a1813506cb2d6e52492cd32c9dfc216b; TS2a5e0c5c027=082d796201ab200015596660cfcff74ce4b996cba42eba62a52965f23c3271534ab695174b5eadf308412f2805113000b805a5194a9b9c06b55ab4a3993b1fd9a05ae6425d806d296726b696ae3b01bf992c55e7802490f2c16ef84652b96721; bm_sv=3FE8982CCC490CF78C9A74355098563E~YAAQH/h335ftrnyEAQAAV+ISrhFM/KbRblu3Q2cMiVRhocYwPiax90x3TsOJFPfjzPF59MPL/5z4THTLQHiYs8WOZhqqDa+NT8nxVgtlziPv1Qx70gA0XwF6reBgUrCS0zjZ1d4hHzLmDcaK/QPVhbFfiuff0ojRVgo+DzGcf1IcDLcDmv0fWl9AK3rxvgUcHsYIYqpGIDb3ZmDy4RdyuZ/cB30dJfxqcMvRe3pEUF5cMrf/i/ixI7FUdIhUdcWNNw==~1; _px3=043f49029482625cc091affcb52483667402fd612c32b8ac046a281428f159b0:yLuQLX/vJLOeuenEN77Wrkxnn6SZmUtN+I+q+v/mnHvHPK/g4yYUxDkW0QzU9kz1Oi3RN/g86Rm4TOb0krqdRQ==:1000:BGX7gc94OnvCfd5UXRxvj6OkBghJvT0ySeIbM1rv9RAVb77npabnxZveShB8IvLnnGYFbi/7B0iMQ3lxvrEZ3JuUnSNsB96j4iYCy2XkBTLXpq7xof9O+AMtxzXWQ/HPQ8fR02OC8TJVoosvPCPobKcWqMiGNHDqe6YS7JbOF4TxupsHJJ9uuX6IS7/6shTCKFmUQQQGaU0OZyHVtfOVRg==',
'cookie':'_pxhd=d72621e2b07c28a1f2429308c9da062a968286848d7a67d48b826e44e9f57c16:6ef3bd8c-6be6-11ed-b9df-54655163516d; ACID=e598249c-061a-4b4c-9eb8-1106ce5ba705; hasACID=true; assortmentStoreId=3081; hasLocData=1; TB_Latency_Tracker_100=1; TB_Navigation_Preload_01=1; TB_SFOU-100=; vtc=Y--TgPPEE7yosKPSHqcBes; adblocked=false; _pxvid=6ef3bd8c-6be6-11ed-b9df-54655163516d; TBV=7; ak_bmsc=3F7F036150778BD906468CC9836379D7~000000000000000000000000000000~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; AID=wmlspartner%3D0%3Areflectorid%3D0000000000000000000000%3Alastupd%3D1669363454690; 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'referer': '',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36'
}
self.sheet = open_gsheet('US COMMENTS', 'walmart')
self.rq = Request()
def request_retry(self, url, headers={}):
if not headers:
headers = self.headers
i = 0
while i < 20:
try:
# r = requests.get(url, headers=headers, timeout=20)
r = self.rq.requests_get(url, headers=headers)
if "Robot or human" in r.text:
print("Robot or human")
i += 1
sleep2(10)
print(f'try {i} times')
continue
if r.status_code in [404]:
i += 1
sleep2(10)
print(f'try {i} times, 404')
continue
break
except Exception as e: # 网站原因
i += 1
sleep2(10)
print(f'try {i} times, {e.args}')
else:
raise
return r
def treat_comment_page(self, id, page):
"""评论时间 评价星级 评价文字内容 图片"""
url = f'https://www.walmart.com/reviews/product/{id}?page={page}'
# print(url)
self.comment_headers['referer'] = url
r = self.request_retry(url, headers=self.comment_headers)
# r = self.rq.requests_get(url, headers=self.headers)
# print(r.status_code, r.text[:1000])
soup = BeautifulSoup(r.text, 'lxml')
comments_tag = soup.select('.dib.w-100.mb3')
comments = []
for comment_tag in comments_tag:
comment_time = comment_tag.select('.justify-content > div:nth-child(2) div')[0].text.strip().strip()
comment_content = comment_tag.select('.lh-copy')[0].text.replace('\n', '').strip()
comment_star = len(comment_tag.select('.justify-content .ld-StarFill'))
# print(comment_time, comment_star, comment_content)
comment_data = [' ', ' ', ' ', ' ', ' ', comment_time, comment_star, comment_content]
comments.append(comment_data)
print('comments', len(comments))
if len(comments) == 0:
return False
gsheet_append_rows(self.sheet, comments)
next_page = soup.select('[aria-label="pagination"] [data-testid="NextPage"]')
if len(next_page) == 1:
return True
else:
return False
def parse_exception(self, obj):
res = obj.result()
if res:
print(res)
def get_comment(self, id):
page = 1
while True:
logger.info(f'id:{id}, page:{page}')
res = self.treat_comment_page(id, page)
time.sleep(random.randint(1, 60))
if res:
page += 1
else:
break
def detail(self, url):
response = self.request_retry(url)
# print(response.status_code, response.text)
soup = BeautifulSoup(response.text, 'lxml')
try:
title = soup.select('[data-testid="sticky-buy-box"] h1')[0].text.strip()
except:
raise Exception(f'{response.status_code}, {response.text}')
try:
price = soup.select('.pt3 [itemprop="price"]')[0].text.replace('Now', '').strip()
except:
raise Exception(f'url:{url} {response.text}')
# except IndexError:
# if 'Currently unavailable' in response.text:
# price = 'Currently unavailable'
# else:
# price = 'error'
img_url = soup.select('[loading="eager"]')[0].attrs['src']
img_url = f'=IMAGE("{img_url}")'
category = soup.select('[aria-label="breadcrumb"] [itemprop="name"]')
category = '/'.join([i.text for i in category])
sku_data = [title, price, img_url, category, url, ' ',' ',' ']
print('sku_data', sku_data)
gsheet_append_row(self.sheet, sku_data)
sku_id = url.split('/')[-1].split('?')[0]
self.get_comment(sku_id)
def treat_one_page(self, url, page):
url = url.split('page=')[0] + 'page=' + str(page)
response = self.request_retry(url)
p = re.compile('"items":(\[.*?"buyBoxSuppression":false}\])')
d = re.search(p, response.text).group(1)
# print(d)
d = re.sub('"description":".*?",', '"description":"",', d)
d = re.sub('"name":".*?",', '"name":"",', d)
# print(d)
s = json.loads(d)
item_urls = []
for index, i in enumerate(s):
try:
item_urls.append('https://www.walmart.com' + i['canonicalUrl'])
except:
pass
print('item_urls', len(item_urls), item_urls)
for idx, item_url in enumerate(item_urls):
if idx < 36:
continue
logger.info(f'{idx}/{len(item_urls)} {item_url}')
self.detail(item_url)
time.sleep(random.randint(10, 60))
def main(self):
urls = ['https://www.walmart.com/browse/clothing/women/5438_133162?povid=FashionGlobalNav_Women_Clothing&sort=best_seller&page=1']
for url in urls:
# 就取前3页
for page in range(1, 4):
logger.info(f'url: {url}, page:{page}')
self.treat_one_page(url, page)
break
if __name__ == '__main__':
a = Walmart()
a.main()
# a.detail('https://www.walmart.com/ip/Time-and-Tru-Women-s-High-Rise-Knit-Leggings-3-Pack/271198063?athbdg=L1800')
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