本文实例讲述了Python进阶之使用selenium爬取淘宝商品信息功能。分享给大家供大家参考，具体如下：
# encoding=utf-8__author__ = 'Jonny'__location__ = '西安'__date__ = '2018-05-14''''需要的基本开发库文件：requests,pymongo,pyquery,selenium开发流程： 搜索关键字：利用selenium驱动浏览器搜索关键字，得到查询后的商品列表 分析页码并翻页：得到商品页码数，模拟翻页，得到后续页面的商品列表 分析提取商品内容：利用PyQuery分析页面源代码，解析获得商品列表信息 存储到MongDB中：将商品的信息列表存储到数据库MongoDB。'''import requestsfrom selenium import webdriverfrom selenium.webdriver.common.by import Byfrom selenium.webdriver.support.ui import WebDriverWaitfrom selenium.webdriver.support import expected_conditions as ECfrom selenium.common.exceptions import TimeoutExceptionfrom pyquery import PyQuery as pqimport pymongoimport reimport timebrowser = webdriver.Chrome()wait = WebDriverWait(browser,10)client = pymongo.MongoClient('localhost',27017)mongo = client['taobao']def searcher(): url = 'https://www.taobao.com/' browser.get(url=url) try: #判断页面加载是够成功，设置等待时间 #判断位置1：搜索输入框是否加载完成 input_kw = wait.until( EC.presence_of_element_located((By.CSS_SELECTOR, '#q')) ) #判断位置2：搜索输入框对应的搜索按键是否加载完成 submit = wait.until(EC.element_to_be_clickable( (By.CSS_SELECTOR,'#J_TSearchForm > div.search-button > button')) ) input_kw.send_keys('男装') submit.click() #等待页面加载完成，便于准确判断网页的总页数 page_counts = wait.until( EC.presence_of_element_located( (By.CSS_SELECTOR,'#mainsrp-pager > div > div > div > div.total')) ) parse_page() return page_counts.text except TimeoutException as e: print(e.args) return searcher()#实现翻页def next_page(page_number): try: # 判断页面加载是够成功，设置等待时间 # 判断位置1：页面跳转输入页是否加载完成 input_page = wait.until( EC.presence_of_element_located((By.CSS_SELECTOR, '#mainsrp-pager > div > div > div > div.form > input')) ) # 判断位置2：确认按键是否加载完成 submit = wait.until(EC.element_to_be_clickable( (By.CSS_SELECTOR, '#mainsrp-pager > div > div > div > div.form > span.btn.J_Submit')) ) input_page.send_keys(page_number) submit.click() #判断翻页是否成功 wait.until(EC.text_to_be_present_in_element( (By.CSS_SELECTOR,'#mainsrp-pager > div > div > div > ul > li.item.active'),str(page_number)) ) parse_page() except TimeoutException as e: print(e.args) next_page(page_number)#对页面进行数据处理def parse_page(): # wait.until(EC.presence_of_element_located(By.CSS_SELECTOR,'#mainsrp-itemlist > div > div')) wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, '#mainsrp-itemlist .items .item'))) html = browser.page_source doc = pq(html) items = doc('#mainsrp-itemlist .items .item').items() for item in items: goods = { 'image':item.find('.pic .img').attr('src'), 'price':item.find('.price').text(), 'deal':item.find('.deal-cnt').text()[:-3], 'title':item.find('.title').text(), 'shop':item.find('.shop').text(), 'location':item.find('.location').text() } print(goods) data_storage(goods)#将数据存入数据库def data_storage(goods): try: if mongo['mongo_sheet'].insert(goods): print('Successfully storage!') except Exception as e: print('failedly storage!',goods)def main(): text = searcher() print(text) #获取总页数 pages = int(re.compile('(\d+)').search(text).group(0)) print(pages) for i in range(2,pages+1): next_page(i) browser.close()if __name__ == '__main__': main()
