Python爬虫：使用Selenium爬取指定上市公司(如浦发银行)的今年公告信息

from selenium import webdriver#导入库
from selenium.webdriver.common.keys import Keys
from bs4 import BeautifulSoup
import csv,time
import os,re
import requests
import selenium.webdriver.support.ui as ui
import  urllib

chromeOptions = webdriver.ChromeOptions()
prefs = {"download.default_directory":"D:\pufa"}
chromeOptions.add_experimental_option("prefs", prefs)
browser = webdriver.Chrome(chrome_options=chromeOptions)#声明浏览器

positon = {}
def enterinfo():
    url = 'http://www.cninfo.com.cn/new/commonUrl?url=disclosure/list/search'
    browser.get(url)#打开浏览器预设网址
    input = browser.find_element_by_css_selector('input[placeholder $= "标题关键字"]')
    input.send_keys('浦发银行')

    browser.find_element_by_class_name("el-range__close-icon").click()#删除原来日期信息
    input = browser.find_element_by_css_selector('input[placeholder $= "开始日期"]')
    input.send_keys('2020-01-01')

    input = browser.find_element_by_css_selector('input[placeholder $= "结束日期"]')
    xianzai = time.strftime("%Y-%m-%d", time.localtime())
    input.send_keys(xianzai)

    time.sleep(2)

    browser.find_elements_by_xpath('//*[@id="main"]/div[2]/div[1]/div[2]/div[1]/div[2]/div[1]/button/span')[0].click()
    #填写文本
    time.sleep(2)#睡眠5

def GainPage():
    source = browser.page_source  # 打印网页源代码
    soup = BeautifulSoup(source, 'lxml')

    ul_list = soup.select('div.el-table__body-wrapper')[0]
    for ul in  ul_list.select('tr.el-table__row'):
        web = ul.select('td.el-table_1_column_3')[0].select('span.ahover')[0].select('a')[0]
        webs = web.get('href')

        url = 'http://www.cninfo.com.cn'
        url =  url + webs

        biaoti = web.text
        positon[biaoti] = url


    time.sleep(2)
enterinfo()
i = 1
while(i):
    GainPage()
    browser.find_elements_by_xpath('//*[@id="main"]/div[2]/div[1]/div[1]/div[3]/div/button[2]/i')[0].click()
    i = i+1
    if i==9:
        break
print(len(positon))


for it in positon.items():
    print(it)
for val in positon.values():

    url = val
    browser.get(url)  # 打开浏览器预设网址

    browser.find_elements_by_xpath('//*[@id="noticeDetail"]/div/div[1]/div[3]/div[1]/button/span')[0].click()