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D01_spider_alibaba_com.py
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# -*- coding: utf-8 -*-
# @Time : 2020/6/17 14:09
# @Author : 结尾！！
# @FileName: D01_spider_alibaba_com.py
# @Software: PyCharm
from selenium.webdriver import ChromeOptions
import time
from fake_useragent import UserAgent
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
#第一步实现对淘宝的登陆
class Chrome_drive():
def __init__(self):
ua = UserAgent()
option = ChromeOptions()
option.add_experimental_option('excludeSwitches', ['enable-automation'])
option.add_experimental_option('useAutomationExtension', False)
NoImage = {"profile.managed_default_content_settings.images": 2} # 控制 没有图片
option.add_experimental_option("prefs", NoImage)
# option.add_argument(f'user-agent={ua.chrome}') # 增加浏览器头部
# chrome_options.add_argument(f"--proxy-server=http://{self.ip}") # 增加IP地址。。
option.add_argument('--headless') #无头模式 不弹出浏览器
self.browser = webdriver.Chrome(options=option)
self.browser.execute_cdp_cmd('Page.addScriptToEvaluateOnNewDocument', {
'source': 'Object.defineProperty(navigator,"webdriver",{get:()=>undefined})'
}) #去掉selenium的驱动设置
self.browser.set_window_size(1200,768)
self.wait = WebDriverWait(self.browser, 12)
def get_login(self):
url='https://www.alibaba.com/'
self.browser.get(url)
#self.browser.maximize_window() # 在这里登陆的中国大陆的邮编
#这里进行人工登陆。
time.sleep(2)
self.browser.refresh() # 刷新方法 refres
return
#获取判断网页文本的内容：
def index_page(self,page,wd):
"""
抓取索引页
:param page: 页码
"""
print('正在爬取第', page, '页')
words=wd.replace(' ','_')
url = f'https://www.alibaba.com/products/{words}.html?IndexArea=product_en&page={page}'
js1 = f" window.open('{url}')" # 执行打开新的标签页
print(url)
self.browser.execute_script(js1) # 打开新的网页标签
# 执行打开新一个标签页。
self.browser.switch_to.window(self.browser.window_handles[-1]) # 此行代码用来定位当前页面窗口
self.buffer() # 网页滑动 成功切换
#等待元素加载出来
time.sleep(3)
self.wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, '#root > div > div.seb-pagination > div > div.seb-pagination__pages > a:nth-child(10)')))
#获取网页的源代码
html = self.browser.page_source
get_products(wd,html)
self.close_window()
def buffer(self): #滑动网页的
for i in range(20):
time.sleep(0.8)
self.browser.execute_script('window.scrollBy(0,380)', '') # 向下滑行300像素。
def close_window(self):
length=self.browser.window_handles
print('length',length) #判断当前网页窗口的数量
if len(length) > 3:
self.browser.switch_to.window(self.browser.window_handles[1])
self.browser.close()
time.sleep(1)
self.browser.switch_to.window(self.browser.window_handles[-1])
import csv
def save_csv(lise_line):
file = csv.writer(open("./alibaba_com_img.csv",'a',newline="",encoding="utf-8"))
file.writerow(lise_line)
#解析网页，
from scrapy.selector import Selector
def get_products(wd,html_text):
"""
提取商品数据
"""
select=Selector(text=html_text)
# 大概有47个
items = select.xpath('//*[@id="root"]/div/div[3]/div[2]/div/div/div/*').extract()
print('产品数 ',len(items))
for i in range(1, 49):
title = select.xpath(
f'//*[@id="root"]/div/div[3]/div[2]/div/div/div/div[{i}]/div/div[2]/h4/a/@title').extract() # 产品的标题
title_href = select.xpath(
f'//*[@id="root"]/div/div[3]/div[2]/div/div/div/div[{i}]/div/div[2]/h4/a/@href').extract() # 产品的详情页
start_num = select.xpath(
f'//*[@id="root"]/div/div[3]/div[2]/div/div/div/div[{i}]/div/div[2]/div[1]/div/p[2]/span/text()').extract() # 起订量
price = select.xpath(
f'//*[@id="root"]/div/div[3]/div[2]/div/div/div/div[{i}]/div/div[2]/div[1]/div/p[1]/@title').extract() # 产品的价格
adress_href = select.xpath(
f'//*[@id="root"]/div/div[3]/div[2]/div/div/div/div[{i}]/div/div[3]/a/@href').extract() # 商家链接
adress = select.xpath(
f'//*[@id="root"]/div/div[3]/div[2]/div/div/div/div[{i}]/div/div[3]/a/@title').extract() # 商家地址
Response_Rate = select.xpath(
f'//*[@id="root"]/div/div[3]/div[2]/div/div/div/div[{i}]/div/div[3]/div[2]/div[1]/span/span/text()').extract() # 复购率
Transaction = select.xpath(
f'//*[@id="root"]/div/div[3]/div[2]/div/div/div/div[{i}]/div/div[3]/div[2]/div[2]/span//text()').extract() # 交易量
img = select.xpath(
f'//*[@id="root"]/div/div[3]/div[2]/div/div/div/div[{i}]/div/div[1]/a/div[2]/div[1]/img/@src').extract() # 图片
all_down =[wd]+ title +img+ title_href + start_num + price + adress + adress_href + Response_Rate + Transaction
save_csv(all_down)
print(title, img,title_href, start_num, price, adress, adress_href, Response_Rate, Transaction)
def main():
"""
遍历每一页
"""
run=Chrome_drive()
run.get_login() #先扫码登录
wd=['turkey fryer','towel warmer']
for w in wd:
for i in range(1, 6):
run.index_page(i,w)
if __name__ == '__main__':
csv_title = 'word,title,img,title_href,start_num,price,adress,adress_href,Response_Rate,Transaction,Transactioning'.split(
',')
save_csv(csv_title)
main()