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test1_shopeescraper.py
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import requests
import json
import pandas as pd
import time
# selenium
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.service import Service as ChromeService
from webdriver_manager.chrome import ChromeDriverManager
import re
import random
class shopee:
def __init__(self,keyword='益生菌',page=50):
#keyword='益生菌'
#page=50
self.keyword = keyword
self.page = page
self.ecode = 'utf-8-sig'
self.my_headers = {'accept': 'application/json',
'accept-encoding': 'gzip, deflate, br',
'accept-language': 'zh-TW,zh;q=0.9,en-US;q=0.8,en;q=0.7',
'af-ac-enc-dat': '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',
'content-type': 'application/json',
'cookie': '__LOCALE__null=TW; SPC_T_IV=NGdRT29YMEs3ZWhMYzlSZw==; SPC_SI=MLh0YwAAAAA5dmxseWpieU246AIAAAAANGJGRGZqUTg=; SPC_F=w126JfAtgQ4v3OWNDFSEI1GcT8cuQ1UZ; REC_T_ID=a74f292b-784f-11ed-a3a6-0a6880582719; SPC_R_T_ID=tDxOjCDS3y+d3IbptFPlS1McB4gqiE4zTLLdIxVMN7uuti/1Mq+r8Q6jDefYfMK2XOwcNRCa47ts8KkD7uZ9HvIjLwYL9kiPl9oqgX13OIR8U5GLtQKk8uXJjdIm9sCgpOU0KZ+bHlPYfnPFSdBVyAcEdnK1Uz+BdZKJ7diEduE=; SPC_R_T_IV=NGdRT29YMEs3ZWhMYzlSZw==; SPC_T_ID=tDxOjCDS3y+d3IbptFPlS1McB4gqiE4zTLLdIxVMN7uuti/1Mq+r8Q6jDefYfMK2XOwcNRCa47ts8KkD7uZ9HvIjLwYL9kiPl9oqgX13OIR8U5GLtQKk8uXJjdIm9sCgpOU0KZ+bHlPYfnPFSdBVyAcEdnK1Uz+BdZKJ7diEduE=; csrftoken=DWZUZXY9cOKbUoUrZD6iQ0StMEgg8qLz; _gcl_au=1.1.1980051361.1670651905; _fbp=fb.1.1670651905078.210500608; _QPWSDCXHZQA=d7e945cb-dbe5-4cd4-d11d-4ced244cd171; AMP_TOKEN=%24NOT_FOUND; _gid=GA1.2.88823259.1670651910; _med=refer; _dc_gtm_UA-61915057-6=1; _ga=GA1.1.1738703988.1670651908; shopee_webUnique_ccd=v9OtM7e9E%2BHnnqOiM0oWyA%3D%3D%7CvpeGiWr78lrv8AN6rqwEgswAH3NzT3xd7IuEppCU4bilvPNTe%2BaG%2F4EqXnyh%2FApx9cEsof9ljXefD%2Fd2IGNjBjQzrcinQ%2F9nBQY%3D%7Cv06r0GXydYJPZUM4%7C06%7C3; ds=c1cfafc2060dd6821a70092b2263aee8; cto_bundle=u_kYXV9Na1JScjFxWDIlMkZhajFZd05kM0klMkJWQ3dONGo0bG9udUVSbyUyQjhEODBPd2x0cE5yTkRuNkMxZThlSTFMeGVvbzRSMDFJMHMyaEtlc1ZiT3VDT0xqaU5DTnpjMldYJTJCTTFFMVZsckJPZWoyT1RuZ0pxVEVQdVRkYWklMkZCVzZYSyUyRmpzS3UzellYRkpDbkl6aUNlYU9NdzhnS0ElM0QlM0Q; _ga_RPSBE3TQZZ=GS1.1.1670651907.1.1.1670653221.32.0.0',
'referer': 'https://shopee.tw/%E8%8A%B1%E8%A5%AF%E8%A1%AB-50%E6%AC%BE%E5%8F%AF%E9%81%B8-%E9%96%8B%E8%A1%AB-%E8%A5%AF%E8%A1%AB-%E7%94%B7%E7%94%9F%E5%A4%8F%E5%A8%81%E5%A4%B7%E7%9F%AD%E8%A2%96%E8%A5%AF%E8%A1%AB-%E5%BA%A6%E5%81%87%E9%A2%A8%E8%A5%AF%E8%A1%AB-%E7%9F%AD%E8%A2%96%E8%A5%AF%E8%A1%AB-%E4%BA%94%E5%88%86%E8%A2%96%E8%A5%AF%E8%A1%AB-%E7%94%B7%E7%94%9F%E4%B8%8A%E8%A1%A3-%E5%AF%AC%E9%AC%86%E8%8A%B1%E8%A5%AF%E8%A1%AB-%E8%A5%AF%E8%A1%AB-%E6%BC%94%E5%87%BA%E6%9C%8D-i.5695643.16302986550?sp_atk=922fd522-78bf-4c74-b741-b91f88babb79&xptdk=922fd522-78bf-4c74-b741-b91f88babb79',
'sec-ch-ua': '"Not?A_Brand";v="8", "Chromium";v="108", "Google Chrome";v="108"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'sz-token': 'v9OtM7e9E+HnnqOiM0oWyA==|vpeGiWr78lrv8AN6rqwEgswAH3NzT3xd7IuEppCU4bilvPNTe+aG/4EqXnyh/Apx9cEsof9ljXefD/d2IGNjBjQzrcinQ/9nBQY=|v06r0GXydYJPZUM4|06|3',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36',
'x-api-source': 'pc',
'x-csrftoken': 'DWZUZXY9cOKbUoUrZD6iQ0StMEgg8qLz',
'x-requested-with': 'XMLHttpRequest',
'x-shopee-language': 'zh-Hant'}
# 進入每個商品，抓取買家留言
def goods_comments(self,item_id, shop_id):
url = 'https://shopee.tw/api/v2/item/get_ratings?filter=0&flag=1&itemid='+ str(item_id) + '&limit=59&offset=0&shopid=' + str(shop_id) + '&type=0'
r = requests.get(url,headers = self.my_headers)
st= r.text.replace("\\n","^n")
st=st.replace("\\t","^t")
st=st.replace("\\r","^r")
gj=json.loads(st)
return gj['data']['ratings']
def scraper(self):
# 自動下載ChromeDriver
service = ChromeService(executable_path=ChromeDriverManager().install())
# 關閉通知提醒
chrome_options = webdriver.ChromeOptions()
prefs = {"profile.default_content_setting_values.notifications" : 2}
chrome_options.add_experimental_option("prefs",prefs)
# 開啟瀏覽器
driver = webdriver.Chrome(service=service,chrome_options=chrome_options)
time.sleep(5)
driver.get('https://shopee.tw/search?keyword=' + self.keyword )
time.sleep(10)
print('---------- 開始進行爬蟲 ----------')
tStart = time.time()#計時開始
container_product = pd.DataFrame()
container_comment = pd.DataFrame()
i=0
for i in range(int(self.page)):
# 準備用來存放資料的陣列
itemid = []
shopid =[]
name = []
brand = []
stock = []
price = []
ctime = []
currency = []
description = []
discount = []
can_use_bundle_deal = []
can_use_wholesale = []
tier_variations = []
hashtag_list = []
historical_sold = []
is_cc_installment_payment_eligible = []
is_official_shop = []
is_pre_order = []
is_slash_price_item = []
liked_count = []
shop_location = []
SKU = []
view_count = []
cmt_count = []
five_star = []
four_star = []
three_star = []
two_star = []
one_star = []
rating_star = []
rcount_with_context =[]
rcount_with_image =[]
driver.get('https://shopee.tw/search?keyword=' + self.keyword + '&page=' + str(i))
# 滾動頁面
for scroll in range(6):
driver.execute_script('window.scrollBy(0,1000)')
time.sleep(2)
#取得商品內容
for item, thename in zip(driver.find_elements_by_xpath('//*[@data-sqe="link"]'), driver.find_elements_by_xpath('//*[@data-sqe="name"]')):
#商品ID、商家ID
getID = item.get_attribute('href')
theitemid = int((getID[getID.rfind('.')+1:getID.rfind('?')]))
theshopid = int(getID[ getID[:getID.rfind('.')].rfind('.')+1 :getID.rfind('.')])
itemid.append(theitemid)
shopid.append(theshopid)
#商品名稱
getname = thename.text.split('\n')[0]
print('抓取： '+getname)
name.append(getname)
#價格
thecontent = item.text
thecontent = thecontent[(thecontent.find(getname)) + len(getname):]
thecontent = thecontent.replace('萬','000')
thecut = thecontent.split('\n')
if re.search('市|區|縣|鄉|海外|中國大陸|國', thecontent): #有時會沒有商品地點資料
if re.search('已售出', thecontent): #有時會沒銷售資料
if '出售' in thecut[-3][1:]:
theprice = thecut[-4][1:]
else:
theprice = thecut[-3][1:]
else:
theprice = thecut[-2][1:]
else:
if re.search('已售出', thecontent): #有時會沒銷售資料
theprice = thecut[-2][1:]
else:
theprice = thecut[-1][1:]
theprice = theprice.replace('$','')
theprice = theprice.replace(',','')
theprice = theprice.replace('售','')
theprice = theprice.replace('出','')
theprice = theprice.replace(' ','')
if ' - ' in theprice:
theprice = (int(theprice.split(' - ')[0]) +int(theprice.split(' - ')[1]))/2
if '-' in theprice:
theprice = (int(theprice.split('-')[0]) +int(theprice.split('-')[1]))/2
price.append(int(theprice))
# 消費者評論詳細資料
iteComment = self.goods_comments(item_id = theitemid, shop_id = theshopid)
if iteComment:
#print(iteComment)
userid = [] #使用者ID
anonymous = [] #是否匿名
commentTime = [] #留言時間
is_hidden = [] #是否隱藏
orderid = [] #訂單編號
comment_rating_star = [] #給星
comment = [] #留言內容
product_SKU = [] #商品規格
for comm in iteComment:
userid.append(comm['userid'])
anonymous.append(comm['anonymous'])
commentTime.append(comm['ctime'])
is_hidden.append(comm['is_hidden'])
orderid.append(comm['orderid'])
comment_rating_star.append(comm['rating_star'])
try:
comment.append(comm['comment'])
except:
comment.append(None)
p=[]
for pro in comm['product_items']:
try:
p.append(pro['model_name'])
except:
p.append(None)
product_SKU.append(p)
commDic = {
'商品ID':[ theitemid for x in range(len(iteComment)) ],
'賣家ID':[ theshopid for x in range(len(iteComment)) ],
'商品名稱':[ getname for x in range(len(iteComment)) ],
'價格':[ int(theprice) for x in range(len(iteComment)) ],
'使用者ID':userid,
'是否匿名':anonymous,
'留言時間':commentTime,
'是否隱藏':is_hidden,
'訂單編號':orderid,
'給星':comment_rating_star,
'留言內容':comment,
'商品規格':product_SKU
}
#資料整合
container_comment = pd.concat([container_comment,pd.DataFrame(commDic)], axis=0)
#暫時存檔紀錄
container_comment.to_csv('shopeeAPIData'+str(i+1)+'_Comment.csv', encoding = self.ecode)
print('留言累積' + str(len(container_comment)))
time.sleep(random.randint(5,10))
container_comment.to_csv(self.keyword +'_留言資料.csv', encoding = self.ecode, index=False)
tEnd = time.time()#計時結束
totalTime = int(tEnd - tStart)
minute = totalTime // 60
second = totalTime % 60
print('資料儲存完成，花費時間（約）： ' + str(minute) + ' 分 ' + str(second) + '秒')
df = pd.read_excel("Final_圓餅圖關鍵字.xlsx")
a = df["功效"].tolist()
a = [x for x in a if pd.isnull(x) == False and x != 'nan']
b = df["成分"].tolist()
b = [x for x in b if pd.isnull(x) == False and x != 'nan']
#b
c = df["風味"].tolist()
c = [x for x in c if pd.isnull(x) == False and x != 'nan']
#c
d = df["氣味"].tolist()
d = [x for x in d if pd.isnull(x) == False and x != 'nan']
e = df["價格"].tolist()
e = [x for x in e if pd.isnull(x) == False and x != 'nan']
df1 = container_comment
x = df1["留言內容"].tolist()
x = [x for x in x if pd.isnull(x) == False and x != 'nan']
keyword_list1 = []
keyword_list2 = []
keyword_list3 = []
keyword_list4 = []
keyword_list5 = []
for words in x:
for i in a:
if i in words:
print("有關鍵字", i, words)
keyword_list1.append(i)
for j in b:
if j in words:
print("有關鍵字", j, words)
keyword_list2.append(j)
for w in c:
if w in words:
print("有關鍵字", w, words)
keyword_list3.append(w)
for y in d:
if y in words:
print("有關鍵字", y, words)
keyword_list4.append(y)
for z in e:
if z in words:
print("有關鍵字", z, words)
keyword_list5.append(z)
else:
print("找不到關鍵字")
d1 = {}
d2 = {}
d3 = {}
d4 = {}
d5 = {}
for f in keyword_list1:
if keyword_list1.count(f) >= 1:
d1[f] = keyword_list1.count(f)
for g in keyword_list2:
if keyword_list2.count(g) >= 1:
d2[g] = keyword_list2.count(g)
for h in keyword_list3:
if keyword_list3.count(h) >= 1:
d3[h] = keyword_list3.count(h)
for m in keyword_list4:
if keyword_list4.count(m) >= 1:
d4[m] = keyword_list4.count(m)
for n in keyword_list5:
if keyword_list5.count(n) >= 1:
d5[n] = keyword_list5.count(n)
aa = sorted(d1.items(), key=lambda x: x[1], reverse=True)
dfa = pd.DataFrame(aa, columns=['keywords', 'count'])
dfa.to_excel("功效.xlsx")
bb = sorted(d2.items(), key=lambda x: x[1], reverse=True)
dfb = pd.DataFrame(bb, columns=['keywords', 'count'])
dfb.to_excel("成分.xlsx")
cc = sorted(d3.items(), key=lambda x: x[1], reverse=True)
dfc = pd.DataFrame(cc, columns=['keywords', 'count'])
dfc.to_excel("風味.xlsx")
dd = sorted(d4.items(), key=lambda x: x[1], reverse=True)
dfd = pd.DataFrame(dd, columns=['keywords', 'count'])
dfd.to_excel("氣味.xlsx")
ee = sorted(d5.items(), key=lambda x: x[1], reverse=True)
dfe = pd.DataFrame(ee, columns=['keywords', 'count'])
dfe.to_excel("價格.xlsx")
o = df["其他"].tolist()
o = [x for x in o if pd.isnull(x) == False and x != 'nan']
del o[0]
oo = df["Unnamed: 6"].tolist()
oo = [x for x in oo if pd.isnull(x) == False and x != 'nan']
del oo[0]
ooo = df["Unnamed: 7"].tolist()
ooo = [x for x in ooo if pd.isnull(x) == False and x != 'nan']
del ooo[0]
oooo = df["Unnamed: 8"].tolist()
oooo = [x for x in oooo if pd.isnull(x) == False and x != 'nan']
del oooo[0]
ooooo = df["Unnamed: 9"].tolist()
ooooo = [x for x in ooooo if pd.isnull(x) == False and x != 'nan']
del ooooo[0]
oooooo = df["Unnamed: 10"].tolist()
oooooo = [x for x in oooooo if pd.isnull(x) == False and x != 'nan']
del oooooo[0]
other = o + oo + ooo + oooo + ooooo + oooooo
keyword_list6 = []
for words in x:
for k in other:
if k in words:
print("有關鍵字", k, words)
keyword_list6.append(k)
else:
print("找不到關鍵字")
d6 = {}
for k in keyword_list6:
if keyword_list6.count(k) >= 1:
d6[k] = keyword_list6.count(k)
oth = sorted(d6.items(), key=lambda x: x[1], reverse=True)
dfoth = pd.DataFrame(oth, columns=['keywords', 'count'])
dfoth.to_excel("其他.xlsx")
list_keywords = ["功效", "成分", "風味", "氣味", "價格", "其他"]
list_keywords_num = [len(keyword_list1), len(keyword_list2), len(keyword_list3), len(keyword_list4), len(keyword_list5), len(keyword_list6)]
dfkeys = pd.DataFrame(list_keywords, columns=['keywords'])
dfkeys = pd.concat([dfkeys, pd.DataFrame(list_keywords_num, columns=['count'])], axis=1)
dfkeys.to_excel("蝦皮圓餅圖.xlsx")
if __name__ == '__main__':
d = shopee('益生菌',1)
d.scraper()