絮叨两句:
博主是一名软件工程系的在校生,利用博客记录自己所学的知识,也希望能帮助到正在学习的同学们
人的一生中会遇到各种各样的困难和折磨,逃避是解决不了问题的,唯有以乐观的精神去迎接生活的挑战
少年易老学难成,一寸光阴不可轻。
最喜欢的一句话:今日事,今日毕


博主刚刚接触爬虫,有什么不足之处请大家谅解,也希望能指导一下


系列文章目录

从Python爬虫到Spark预处理数据的真实需求[一]
从Python爬虫到Spark预处理数据的真实需求[二]
从Python爬虫到Spark预处理数据的真实需求[三]
从Python爬虫到Spark预处理数据的真实需求[四]
从Python爬虫到Spark预处理数据的真实需求[五]


文章目录

  • 系列文章目录
  • 前言
  • 思路
  • 接下来上代码
    • 机油
    • 轮胎
    • 刹车片
    • 添加剂
    • 原厂件
    • 火花塞
  • 总结

前言

使用Selenium进行自动渲染获取数据


提示:以下是本篇文章正文内容,下面案例可供参考

思路

以机油为例:

首先进入机油的界面


可以发现有很多品牌



按F12 去找到所有分类的父标签

可以发现每一个分类就是一个Li标签,我们可以通过这些标签进入每一个品牌中,跳转到每一品牌的商品列表上

然后获取每一个商品的详情链接,价格,品牌的名称,商品的图片,商品的标题名称


重点就是进行翻页的动作


有两种方式:

  1. 去发现每一页地址链接的规律
  2. 使用自动点击的方式进行获取下一页

在下面的代码中我个人使用的是第一种方式
我之前的文章有第二种方式的使用
Selenium:测试抓取京东数据练习[汽车用品-机油]

最后注意一点就是每进入新的一页它是会显示一半数据
                                                    另一半数据需要手动的下拉滑动

下拉滑动的动作有点丑陋大家见笑了:

'''
:@browser  是Selenium 的实例对象
'''
def windows(browser):for i in range(0, 10000, 50):windowBout(browser, i)for i in range(10000, 0, -50):windowTop(browser, i)for i in range(0, 10000, 50):windowBout(browser, i)
def windowBout(browser,i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)def windowTop(browser, i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)



在这里我只获取了每个商品详情的连接,并没有在进行下一步获取,在之前Selenium:测试抓取京东数据练习[汽车用品-机油]这个文章中就获取所有的详情页面的数据在进行返回,不过效率太慢,所有我只获取了

接下来上代码

机油

from  bs4 import BeautifulSoup
import time as ti
import random
from fake_useragent import UserAgent
from selenium import webdriverdef getUrl(url):bowser = webdriver.Chrome()bowser.get(url)brand_home=bowser.page_sourceJY_soup = BeautifulSoup(brand_home, 'html.parser')J_valueList_li_All = JY_soup.find('div', attrs={'class': 'sl-v-logos'}).find('ul', attrs={'class': 'J_valueList v-fixed'}).findAll('li')bowser2 = webdriver.Chrome()for li in J_valueList_li_All:brand_href=f"https://list.jd.com{li.find('a')['href']}"brand_name = f"{li.find('a')['title']}"print("品牌分类:----->", brand_name, brand_href)bowser2.get(brand_href)windows(bowser2)brand_html = bowser2.page_sourceca_Html = BeautifulSoup(brand_html, 'html.parser')b_title = ca_Html.find('span', attrs={'class': 'p-skip'})if b_title == None:'''直接解析获取商品'''print('没有下一页直接获取数据')getProduct(ca_Html, brand_name=brand_name)else:b_fy_Number = int(b_title.find('b').text)print('共:',b_fy_Number)print("--------------------------------------第1页---------------------------------")'''获取当前页的数据'''getProduct(ca_Html, brand_name=brand_name)page = 3s = 61xh_count = 0for i in range(2, b_fy_Number+1):print(f"--------------------------------------第{i}页---------------------------------")fy_page_Href = f"{brand_href}&page={page}&s={s}&click=0"bowser2.get(fy_page_Href)windows(bowser2)ti.sleep(1)fy_page_href_html = bowser2.page_sourcefy_Html_soup = BeautifulSoup(fy_page_href_html, 'html.parser')if fy_Html_soup.find('span', attrs={'class': 'result'}) != None:print(fy_Html_soup.find('span', attrs={'class': 'result'}))breakgetProduct(fy_Html_soup, brand_name=brand_name)page += 2s += 60xh_count += 1if xh_count == 100:breakdef getProduct(barn_soup,brand_name):# count=0URL_NAME = []li_All = barn_soup.find('div', attrs={'id': 'J_goodsList'}).findAll('li')for li in li_All:# count+=1li_href = li.find('a')if li_href != None:li_href = li_href['href']else:continuehttps_li_href = f"https:{li_href}"# 商品价格p_price = li.find('div', attrs={'class': 'p-price'}).find('i').textURL_NAME.append({'href_url': https_li_href, 'bran_name': brand_name, 'price': p_price})savUrl(URL_NAME)# print(count)def savUrl(URL_NAME_Array):for url_name in URL_NAME_Array:with open('D:\\url\\jy\\JD_JY_URLS_price.txt','a',encoding='utf-8') as urls:urls.write(str(url_name)+'\r')'''
:@browser  是Selenium 的实例对象
'''
def windows(browser):for i in range(0, 10000, 50):windowBout(browser, i)for i in range(10000, 0, -50):windowTop(browser, i)for i in range(0, 10000, 50):windowBout(browser, i)
def windowBout(browser,i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)def windowTop(browser, i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)
if __name__ == '__main__':url = "https://list.jd.com/list.html?cat=6728,6742,11849"getUrl(url)

轮胎

from  bs4 import BeautifulSoup
import time as ti
import random
from fake_useragent import UserAgent
from selenium import webdriverdef getUrl(url):bowser = webdriver.Chrome()bowser.get(url)brand_home=bowser.page_sourceJY_soup = BeautifulSoup(brand_home, 'html.parser')J_valueList_li_All = JY_soup.find('div', attrs={'class': 'sl-v-logos'}).find('ul', attrs={'class': 'J_valueList v-fixed'}).findAll('li')bowser2 = webdriver.Chrome()for li in J_valueList_li_All:brand_href=f"https://search.jd.com/{li.find('a')['href']}"brand_name = f"{li.find('a')['title']}"print("品牌分类:----->", brand_name, brand_href)bowser2.get(brand_href)windows(bowser2)brand_html = bowser2.page_sourceca_Html = BeautifulSoup(brand_html, 'html.parser')b_title = ca_Html.find('span', attrs={'class': 'p-skip'})if b_title == None:'''直接解析获取商品'''print('没有下一页直接获取数据')getProduct(ca_Html, brand_name=brand_name)else:b_fy_Number = int(b_title.find('b').text)print('共:',b_fy_Number)print("--------------------------------------第1页---------------------------------")'''获取当前页的数据'''getProduct(ca_Html, brand_name=brand_name)page = 3s = 51xh_count = 0for i in range(2, b_fy_Number+1):print(f"--------------------------------------第{i}页---------------------------------")fy_page_Href = f"{brand_href}&cid2=6742&&page={page}&s={s}&click=0"bowser2.get(fy_page_Href)windows(bowser2)ti.sleep(1)fy_page_href_html = bowser2.page_sourcefy_Html_soup = BeautifulSoup(fy_page_href_html, 'html.parser')if fy_Html_soup.find('span', attrs={'class': 'result'}) != None:print(fy_Html_soup.find('span', attrs={'class': 'result'}))breakgetProduct(fy_Html_soup, brand_name=brand_name)page += 2s += 50xh_count += 1if xh_count == 100:breakdef getProduct(barn_soup,brand_name):# count=0URL_NAME = []li_All = barn_soup.find('div', attrs={'id': 'J_goodsList'}).findAll('li')for li in li_All:# count+=1li_href = li.find('a')if li_href != None:li_href = li_href['href']else:continuehttps_li_href = f"https:{li_href}"# 商品价格p_price = li.find('div', attrs={'class': 'p-price'}).find('i').textURL_NAME.append({'href_url': https_li_href, 'bran_name': brand_name,'price':p_price})savUrl(URL_NAME)# print(count)def savUrl(URL_NAME_Array):for url_name in URL_NAME_Array:# print(url_name)with open('D:\\url\\luntai\\JD_LT_URLS.txt','a',encoding='utf-8') as urls:urls.write(str(url_name)+'\r')def windows(browser):for i in range(0, 10000, 50):windowBout(browser, i)for i in range(10000, 0, -50):windowTop(browser, i)for i in range(0, 10000, 50):windowBout(browser, i)
def windowBout(browser,i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)def windowTop(browser, i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)
if __name__ == '__main__':url = "https://search.jd.com/Search?keyword=%E8%BD%AE%E8%83%8E&enc=utf-8&wq=&pvid=b2160a1bc78b4897827700e1dba8e242"getUrl(url)

刹车片

from  bs4 import BeautifulSoup
import time as ti
import random
from fake_useragent import UserAgent
from selenium import webdriverdef getUrl(url):bowser = webdriver.Chrome()bowser.get(url)brand_home=bowser.page_sourceJY_soup = BeautifulSoup(brand_home, 'html.parser')J_valueList_li_All = JY_soup.find('div', attrs={'class': 'sl-v-logos'}).find('ul', attrs={'class': 'J_valueList v-fixed'}).findAll('li')bowser2 = webdriver.Chrome()for li in J_valueList_li_All:brand_href=f"https://coll.jd.com{li.find('a')['href']}"brand_href=brand_href[:brand_href.index('JL=3_')+4]brand_name = f"{li.find('a')['title']}"print("品牌分类:----->", brand_name, brand_href)bowser2.get(brand_href)windows(bowser2)brand_html = bowser2.page_sourceca_Html = BeautifulSoup(brand_html, 'html.parser')b_title = ca_Html.find('span', attrs={'class': 'p-skip'})if b_title == None:'''直接解析获取商品'''print('没有下一页直接获取数据')getProduct(ca_Html, brand_name=brand_name)else:b_fy_Number = int(b_title.find('b').text)print('共:',b_fy_Number)print("--------------------------------------第1页---------------------------------")'''获取当前页的数据'''getProduct(ca_Html, brand_name=brand_name)page = 2xh_count = 0for i in range(2, b_fy_Number+1):print(f"--------------------------------------第{i}页---------------------------------")# https: // coll.jd.com / list.html?sub = 23867 & ev = exbrand_6927 & JL = 3fy_page_Href = f"{str(brand_href).replace('JL=3','')}&page={page}&JL=6_0_0"print(fy_page_Href)bowser2.get(fy_page_Href)windows(bowser2)ti.sleep(1)fy_page_href_html = bowser2.page_sourcefy_Html_soup = BeautifulSoup(fy_page_href_html, 'html.parser')if fy_Html_soup.find('span', attrs={'class': 'result'}) != None:print(fy_Html_soup.find('span', attrs={'class': 'result'}))breakgetProduct(fy_Html_soup, brand_name=brand_name)page += 1xh_count += 1if xh_count == 100:breakdef getProduct(barn_soup,brand_name):# count=0URL_NAME = []li_All = barn_soup.find('ul', attrs={'class': 'gl-warp clearfix'}).findAll('li')for li in li_All:# count+=1li_href = li.find('a')if li_href != None:li_href = li_href['href']else:continuehttps_li_href = f"https:{li_href}"# 商品价格p_price = li.find('div', attrs={'class': 'p-price'}).find('i').textsku=li.find('div',attrs={'class':'gl-i-wrap j-sku-item'})['data-sku']print(sku)URL_NAME.append({'href_url': https_li_href, 'bran_name': brand_name,'price':p_price,'skuId':sku})savUrl(URL_NAME)# print(count)def savUrl(URL_NAME_Array):for url_name in URL_NAME_Array:# print(url_name)with open('D:\\url\\SCP\\JD_SCP_URLS.txt','a',encoding='utf-8') as urls:urls.write(str(url_name)+'\r')def windows(browser):for i in range(0, 10000, 50):windowBout(browser, i)for i in range(10000, 0, -50):windowTop(browser, i)for i in range(0, 10000, 50):windowBout(browser, i)
def windowBout(browser,i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)def windowTop(browser, i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)
if __name__ == '__main__':url = "https://coll.jd.com/list.html?sub=23867"getUrl(url)

添加剂

from  bs4 import BeautifulSoup
import time as ti
import random
from fake_useragent import UserAgent
from selenium import webdriverdef getUrl(url):bowser = webdriver.Chrome()bowser.get(url)brand_home=bowser.page_sourceJY_soup = BeautifulSoup(brand_home, 'html.parser')J_valueList_li_All = JY_soup.find('div', attrs={'class': 'sl-v-logos'}).find('ul', attrs={'class': 'J_valueList v-fixed'}).findAll('li')bowser2 = webdriver.Chrome()for li in J_valueList_li_All:brand_href=f"https://search.jd.com/{li.find('a')['href']}"brand_name = f"{li.find('a')['title']}"print("品牌分类:----->", brand_name, brand_href)bowser2.get(brand_href)windows(bowser2)brand_html = bowser2.page_sourceca_Html = BeautifulSoup(brand_html, 'html.parser')b_title = ca_Html.find('span', attrs={'class': 'p-skip'})if b_title == None:'''直接解析获取商品'''print('没有下一页直接获取数据')getProduct(ca_Html, brand_name=brand_name)else:b_fy_Number = int(b_title.find('b').text)print('共:',b_fy_Number)print("--------------------------------------第1页---------------------------------")'''获取当前页的数据'''getProduct(ca_Html, brand_name=brand_name)page = 3s = 51xh_count = 0for i in range(2, b_fy_Number+1):print(f"--------------------------------------第{i}页---------------------------------")fy_page_Href = f"{brand_href}&cid2=6742&&page={page}&s={s}&click=0"bowser2.get(fy_page_Href)windows(bowser2)ti.sleep(1)fy_page_href_html = bowser2.page_sourcefy_Html_soup = BeautifulSoup(fy_page_href_html, 'html.parser')if fy_Html_soup.find('span', attrs={'class': 'result'}) != None:print(fy_Html_soup.find('span', attrs={'class': 'result'}))breakgetProduct(fy_Html_soup, brand_name=brand_name)page += 2s += 50xh_count += 1if xh_count == 100:breakdef getProduct(barn_soup,brand_name):# count=0URL_NAME = []li_All = barn_soup.find('div', attrs={'id': 'J_goodsList'}).findAll('li')for li in li_All:# count+=1li_href = li.find('a')if li_href != None:li_href = li_href['href']else:continuehttps_li_href = f"https:{li_href}"# 商品价格p_price = li.find('div', attrs={'class': 'p-price'}).find('i').textURL_NAME.append({'href_url': https_li_href, 'bran_name': brand_name,'price':p_price})savUrl(URL_NAME)# print(count)def savUrl(URL_NAME_Array):for url_name in URL_NAME_Array:# print(url_name)with open('D:\\url\\tjj\\JD_TJJ_URLS.txt','a',encoding='utf-8') as urls:urls.write(str(url_name)+'\r')def windows(browser):for i in range(0, 10000, 50):windowBout(browser, i)for i in range(10000, 0, -50):windowTop(browser, i)for i in range(0, 10000, 50):windowBout(browser, i)
def windowBout(browser,i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)def windowTop(browser, i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)
if __name__ == '__main__':url = "https://search.jd.com/search?keyword=%E6%B7%BB%E5%8A%A0%E5%89%82&enc=utf-8&qrst=1&rt=1&stop=1&vt=2&wq=%E6%B7%BB%E5%8A%A0%E5%89%82&stock=1&cid3=11850#J_searchWrap"getUrl(url)

原厂件

from  bs4 import BeautifulSoup
import time as ti
import random
from fake_useragent import UserAgent
from selenium import webdriverdef getUrl(url):bowser = webdriver.Chrome()bowser.get(url)brand_home=bowser.page_sourceprint(brand_home)JY_soup = BeautifulSoup(brand_home, 'html.parser')J_valueList_li_All = JY_soup.find('div', attrs={'class': 'sl-v-logos'}).find('ul', attrs={'class': 'J_valueList v-fixed'}).findAll('li')bowser2 = webdriver.Chrome()for li in J_valueList_li_All:brand_href=f"https://coll.jd.com{li.find('a')['href']}"brand_href=brand_href[:brand_href.index('JL=3_')+4]brand_name = f"{li.find('a')['title']}"print("品牌分类:----->", brand_name, brand_href)bowser2.get(brand_href)windows(bowser2)brand_html = bowser2.page_sourceca_Html = BeautifulSoup(brand_html, 'html.parser')b_title = ca_Html.find('span', attrs={'class': 'p-skip'})if b_title == None:'''直接解析获取商品'''print('没有下一页直接获取数据')# getProduct(ca_Html, brand_name=brand_name)else:b_fy_Number = int(b_title.find('b').text)print('共:',b_fy_Number)print("--------------------------------------第1页---------------------------------")'''获取当前页的数据'''# getProduct(ca_Html, brand_name=brand_name)page = 2xh_count = 0for i in range(2, b_fy_Number+1):print(f"--------------------------------------第{i}页---------------------------------")# https: // coll.jd.com / list.html?sub = 23867 & ev = exbrand_6927 & JL = 3fy_page_Href = f"{str(brand_href).replace('JL=3','')}&page={page}&JL=6_0_0"print(fy_page_Href)bowser2.get(fy_page_Href)windows(bowser2)ti.sleep(1)fy_page_href_html = bowser2.page_sourcefy_Html_soup = BeautifulSoup(fy_page_href_html, 'html.parser')if fy_Html_soup.find('span', attrs={'class': 'result'}) != None:print(fy_Html_soup.find('span', attrs={'class': 'result'}))break# getProduct(fy_Html_soup, brand_name=brand_name)page += 1xh_count += 1if xh_count == 100:breakdef getProduct(barn_soup,brand_name):# count=0URL_NAME = []li_All = barn_soup.find('ul', attrs={'class': 'gl-warp clearfix'}).findAll('li')for li in li_All:# count+=1li_href = li.find('a')if li_href != None:li_href = li_href['href']else:continuehttps_li_href = f"https:{li_href}"# 商品价格p_price = li.find('div', attrs={'class': 'p-price'}).find('i').textsku=li.find('div',attrs={'class':'gl-i-wrap j-sku-item'})['data-sku']print(sku)URL_NAME.append({'href_url': https_li_href, 'bran_name': brand_name,'price':p_price,'skuId':sku})# savUrl(URL_NAME)# print(count)def savUrl(URL_NAME_Array):for url_name in URL_NAME_Array:# print(url_name)with open('D:\\url\\YCJ\\JD_YCJ_URLS.txt','a',encoding='utf-8') as urls:urls.write(str(url_name)+'\r')def windows(browser):for i in range(0, 10000, 50):windowBout(browser, i)for i in range(10000, 0, -50):windowTop(browser, i)for i in range(0, 10000, 50):windowBout(browser, i)
def windowBout(browser,i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)def windowTop(browser, i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)
if __name__ == '__main__':url = "https://coll.jd.com/list.html?sub=42052"getUrl(url)

火花塞

from  bs4 import BeautifulSoup
import time as ti
import random
from fake_useragent import UserAgent
from selenium import webdriverdef getUrl(url):bowser = webdriver.Chrome()bowser.get(url)brand_home=bowser.page_sourceJY_soup = BeautifulSoup(brand_home, 'html.parser')J_valueList_li_All = JY_soup.find('div', attrs={'class': 'sl-v-list'}).find('ul', attrs={'class': 'J_valueList v-fixed'}).findAll('li')bowser2 = webdriver.Chrome()for li in J_valueList_li_All:brand_href=f"https://list.jd.com{li.find('a')['href']}"brand_name = f"{li.find('a')['title']}"print("品牌分类:----->", brand_name, brand_href)bowser2.get(brand_href)windows(bowser2)brand_html = bowser2.page_sourceca_Html = BeautifulSoup(brand_html, 'html.parser')b_title = ca_Html.find('span', attrs={'class': 'p-skip'})if b_title == None:'''直接解析获取商品'''print('没有下一页直接获取数据')getProduct(ca_Html, brand_name=brand_name)else:b_fy_Number = int(b_title.find('b').text)print('共:',b_fy_Number)print("--------------------------------------第1页---------------------------------")'''获取当前页的数据'''getProduct(ca_Html, brand_name=brand_name)page = 3s = 53xh_count = 0for i in range(2, b_fy_Number+1):print(f"--------------------------------------第{i}页---------------------------------")fy_page_Href = f"{brand_href}&cid2=6742&&page={page}&s={s}&click=0"bowser2.get(fy_page_Href)windows(bowser2)ti.sleep(1)fy_page_href_html = bowser2.page_sourcefy_Html_soup = BeautifulSoup(fy_page_href_html, 'html.parser')if fy_Html_soup.find('span', attrs={'class': 'result'}) != None:print(fy_Html_soup.find('span', attrs={'class': 'result'}))break# getProduct(fy_Html_soup, brand_name=brand_name)page += 2s += 52xh_count += 1if xh_count == 100:breakdef getProduct(barn_soup,brand_name):# count=0URL_NAME = []li_All = barn_soup.find('div', attrs={'id': 'J_goodsList'}).findAll('li')for li in li_All:# count+=1li_href = li.find('a')if li_href != None:li_href = li_href['href']else:continuehttps_li_href = f"https:{li_href}"# 商品价格p_price = li.find('div', attrs={'class': 'p-price'}).find('i').textsku=li['data-sku']URL_NAME.append({'href_url': https_li_href, 'bran_name': brand_name,'price':p_price,'skuId':sku})savUrl(URL_NAME)# print(count)def savUrl(URL_NAME_Array):for url_name in URL_NAME_Array:# print(url_name)with open('D:\\url\\HHS\\JD_HHS_URLS.txt','a',encoding='utf-8') as urls:urls.write(str(url_name)+'\r')def windows(browser):for i in range(0, 10000, 50):windowBout(browser, i)for i in range(10000, 0, -50):windowTop(browser, i)for i in range(0, 10000, 50):windowBout(browser, i)
def windowBout(browser,i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)def windowTop(browser, i):js = f"window.scrollTo(0,{i})"browser.execute_script(js)
if __name__ == '__main__':url = "https://list.jd.com/list.html?cat=6728,6742,6767"getUrl(url)

总结

以上内容就是使用Selenium进行获取数据,有什么不足希望大家能进行指导,记得点赞

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