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python按综合、销量排序抓取100页的淘宝商品列表信息

程序员文章站 2022-08-31 18:03:50
进入淘宝网,分别按综合、销量排序抓取100页的所有商品的列表信息。 1、按综合 import re from selenium import web...

进入淘宝网,分别按综合、销量排序抓取100页的所有商品的列表信息。

1、按综合

import re 
from selenium import webdriver 
from selenium.common.exceptions import TimeoutException 
from selenium.webdriver.common.by import By 
from selenium.webdriver.support.ui import WebDriverWait 
from selenium.webdriver.support import expected_conditions as EC 
from pyquery import PyQuery as pq #获取整个网页的源代码 
 
from config import * #可引用congif的所有变量 
import pymongo 
import pymysql 
 
# client=pymongo.MongoClient(MONGO_URL) 
# db = client[MONGO_DB] 
 
# 按综合排序 100页 
 
 
# 打开淘宝链接,输入‘美食',搜索 
# 自动翻页:先得到总页数,再转到 _ 页,确定 
# 
 
# browser = webdriver.PhantomJS(service_args=SERVICE_ARGS) 
# browser =webdriver.Chrome() 
browser = webdriver.Firefox() 
wait = WebDriverWait(browser,10) 
 
def search(): 
 print('正在搜索...') 
 try: 
  browser.get('https://www.taobao.com') #用这个网页'https://s.taobao.com',无法输入keywords 
  input=wait.until( 
    EC.presence_of_element_located((By.CSS_SELECTOR,'#q')) #打开淘宝,右击查看元素,定位到搜索框,选择对应代码,复制-CSS选择器,其实就是‘#q'。 
  ) 
  submit=wait.until(EC.element_to_be_clickable((By.CSS_SELECTOR,'#J_TSearchForm > div.search-button > button'))) 
  input.send_keys(KEYWORD) #模拟操作,输入内容 
  submit.click() #点击提交 
  total = wait.until(EC.presence_of_element_located((By.CSS_SELECTOR,'#mainsrp-pager > div > div > div > div.total'))) #页数 
  return total.text 
 except TimeoutException : 
  return search() 
 
# 翻页 
def next_page(page_number): 
 print('正在翻页',page_number) 
 try: 
  input = wait.until( 
   # 输入框 
   EC.presence_of_element_located((By.CSS_SELECTOR, '#mainsrp-pager > div > div > div > div.form > input')) # 打开淘宝,右击查看元素,定位到搜索框,选择对应代码,复制-CSS选择器,其实就是‘#q'。 
  ) 
  # 搜索按钮 
  submit = wait.until(EC.element_to_be_clickable((By.CSS_SELECTOR, '#mainsrp-pager > div > div > div > div.form > span.btn.J_Submit'))) #未修改 
  input.clear() 
  input.send_keys(page_number) # 模拟操作,输入页码 
  submit.click() 
  #判断翻页是否成功,找到高亮页码数,由数子判断 
  wait.until(EC.text_to_be_present_in_element((By.CSS_SELECTOR ,'#mainsrp-pager > div > div > div > ul > li.item.active > span'), str(page_number))) 
  get_products() 
 except TimeoutException : 
  next_page(page_number) 
 
# 解析,获取每页的商品并输出 
def get_products(): 
 wait.until(EC.presence_of_all_elements_located((By.CSS_SELECTOR,'#mainsrp-itemlist .items .item'))) #加载所有宝贝 
 html=browser.page_source 
 doc = pq(html) 
 items = doc('#mainsrp-itemlist .items .item').items() 
 for item in items: 
  product = { 
   # 'picture':item.find('.pic .img').attr('src'),#用find去获取内部元素,选择器是 pic,img,用attr获取属性 
   'image': item.find('.pic .img').attr('data-src'), # 用find去获取内部元素,选择器是 pic,img,用attr获取属性 
   'shop_id': item.find('.shop').find('a').attr('data-userid'), # 店铺 id 
   'data_id': item.find('.shop').find('a').attr('data-nid'), # 商品 id 
   'link': item.find('.pic-box-inner').find('.pic').find('a').attr['href'], 
   'price':item.find('.price').text()[1:-3], # 用text获取内容 
   'deal':item.find('.deal-cnt').text()[:-3], 
   'title':item.find('.title').text().replace(' ',''), 
   'shop':item.find('.shop').text(), 
   'location':item.find('.location').text() 
  } 
  # print(product) 
  # print(product['location']) 
  save_to_mysql(product) 
''''' 
def main(): 
 try: 
  # search() 
  total=search() # 此时 total = ‘共 100 页,' 
  total=int(re.compile('(\d+)').search(total).group(1)) # 用正则表达式提取数字100 
  # print(total) 
  for i in range(2,total+1): 
   next_page(i) 
 except Exception: 
  print('出错啦') 
 finally: # 不管有没有异常,都要执行此操作 
  browser.close() # 关浏览器 
''' 
 
def main(): 
 total=search() 
 total=int(re.compile('(\d+)').search(total).group(1)) 
 for i in range(2,total+1): 
  next_page(i)#显示当前爬取网页的页数 
  print ('搞定%d'%i) 
 
def save_to_mysql(product): 
 # print(product['location']) 
 #,use_unicode = False 
 try: 
  conn = pymysql.connect(host='localhost', user='root', passwd=' ', db='test1', port=3306,charset='utf8' ) 
  cur = conn.cursor() # 创建一个游标对象 
  sql = """INSERT INTO women_clothes_zonghe VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s)""" 
  cur.execute(sql, (product['shop_id'],product['shop'], product['link'],product['data_id'], product['title'], product['price'], product['location'],product['deal'],product['image'])) 
  # cur.execute(sql) 
  print('- - - - - 数据保存成功 - - - - -') 
  cur.close() 
  conn.commit() 
  conn.close() # 关闭数据 
 except pymysql.Error as e: 
  print(e) 
 
if __name__=='__main__': 
 # 连接数据库 
 conn = pymysql.connect(host='localhost', user='root', passwd=' ', db='test1', port=3306,charset="utf8") 
 cur = conn.cursor() # 创建一个游标对象 
 cur.execute("DROP TABLE IF EXISTS women_clothes_zonghe") # 如果表存在则删除 
 # 创建表sql语句 
 sqlc = """CREATE TABLE women_clothes_zonghe( 
  shop_id VARCHAR(500), 
  shop VARCHAR(500), 
  link VARCHAR(1000), 
  data_id varchar(100), 
  title VARCHAR(1000), 
  price VARCHAR(500), 
  location VARCHAR(500), 
  deal VARCHAR(500), 
  image VARCHAR(1000) 
 )""" 
 cur.execute(sqlc) # 执行创建数据表操作 
 main() 

2、按销量

import re 
 
from bs4 import BeautifulSoup 
from pyquery import PyQuery as pq #获取整个网页的源代码 
 
from config import * #可引用congif的所有变量 
import pymongo 
import pymysql 
 
import urllib 
import requests 
import json 
import bs4 
 
from selenium import webdriver 
from pyquery import PyQuery as pq #获取整个网页的源代码 
 
# 完整爬取所有页面的商品信息 共100页 按销量排序 
 
 
browser = webdriver.Firefox() 
wait = WebDriverWait(browser,10) 
 
def get_url(keyword): 
 url_str = urllib.parse.quote(keyword) 
 i = 0 
 for j in range(100): 
  yield{ 
   'url':('https://s.taobao.com/search?q={}&imgfile=&commend=all&ssid=s5-e&search_type=item&sourceId=tb.index&spm=' 
   'a21bo.50862.201856-taobao-item.1&ie=utf8&initiative_id=tbindexz_20170808&sort=sale-desc&bcoffset=0&p4ppushleft=%2C44&s={}').format(url_str,i) 
  } 
  i+=44 
 
# 可行 
def get_products(url): 
 browser.get(url) 
 wait.until(EC.presence_of_all_elements_located((By.CSS_SELECTOR,'#mainsrp-itemlist .items .item'))) #加载所有宝贝 
 html=browser.page_source 
 doc = pq(html) 
 # print(doc) 
 items = doc('#mainsrp-itemlist .items .item').items() 
 for item in items: 
  product = { 
   # 获取 image 时,用'src'总有部分图片获取不到,因为淘宝设有'data-src' 和'src',不同商品这两个属性的前后顺序不一样,直接用'data-src'可避免返回 None 
   'image':item.find('.pic .img').attr('data-src'),#用find去获取内部元素,选择器是 pic,img,用attr获取属性 
   # 'image':item.find('.pic-box-inner').find('.pic').find('img').attr['src'], 
   'price':item.find('.price').text()[1:-3], # 用text获取内容 
   'shop_id': item.find('.shop').find('a').attr('data-userid'), # 店铺 id 
   'data_id': item.find('.shop').find('a').attr('data-nid'), # 商品 id 
   'link': item.find('.pic-box-inner').find('.pic').find('a').attr['href'], 
   'deal':item.find('.deal-cnt').text()[:-3], 
   'title':item.find('.title').text(), 
   'shop':item.find('.shop').text(), 
   'location':item.find('.location').text().replace(' ','') 
  } 
  # print(product) 
  save_to_mysql(product) 
 
def save_to_mysql(product): 
 try: 
  conn = pymysql.connect(host='localhost',user='root',passwd=' ',port=3306,db='test1',charset='utf8') 
  cur = conn.cursor() 
  sql = "insert into women_clothes_sales2 values (%s,%s,%s,%s,%s,%s,%s,%s,%s)" 
  cur.execute(sql,(product['shop_id'],product['shop'],product['link'],product['data_id'],product['title'],product['price'],product['location'],product['deal'],product['image'])) 
  print('- - - 数据保存成功 - - - ') 
  cur.close() 
  conn.commit() 
  conn.close() 
 except pymysql.Error as e: 
  print(e) 
 
def main(): 
 keyword = '女装' 
 links = get_url(keyword) # 字典 
 # 获取每页的 url 
 for link in links: 
  # print(link) 
  url = link['url'] 
  #解析页面 
  # soup = get_html(url) 
  # print(soup) 
  # get_detail(soup,url) 
  get_products(url) 
 
if __name__=='__main__': 
 conn = pymysql.connect(host='localhost',user = 'root',passwd=' ',db='test1',port = 3306,charset='utf8') 
 cur = conn.cursor() 
 cur.execute('Drop table if exists women_clothes_sales2') 
 sqlc = "create table women_clothes_sales2(shop_id varchar(100),shop varchar(500),link varchar(1000),data_id varchar(100),title varchar(500),price varchar(200),location varchar(100),deal varchar(100),image varchar(1000))" 
 cur.execute(sqlc) 
 cur.close() 
 conn.commit() 
 conn.close() 
 main() 

更多内容请参考专题《python爬取功能汇总》进行学习。

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持。