@author: 谢钦焱、韩晓莉、孙真真
"""
from bs4 import BeautifulSoup
import re
import pandas as pd
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
browser = webdriver.Chrome()
browser.get('http://www.szse.cn/disclosure/listed/fixed/index.html')
elem = browser.find_element(By.ID,'input_code')
elem.send_keys('靖远煤电' + Keys.RETURN)
browser.find_element(By.LINK_TEXT,'请选择公告类别').click()
browser.find_element(By.LINK_TEXT,'年度报告').click() # 网页上是点击选择,所以click
y_start = browser.find_element(By.CLASS_NAME,'input-left')
y_start.send_keys('2012' + Keys.RETURN)
y_end = browser.find_element(By.CLASS_NAME,'input-right')
y_start.send_keys('2021' + Keys.RETURN) # 网页上时间需要输入,所以用Key.RETURN
element = browser.find_element(By.ID,"disclosure-table")
innerHTML = element.get_attribute("innerHTML")
f = open("HW3.html",'w',encoding='utf-8')
f.write(innerHTML)
f.close()
browser.quit()
class DisclosureTable():
'''
解析深交所定期报告页搜索表格
'''
def __init__(self, innerHTML):
self.html = innerHTML
self.prefix = 'https://disc.szse.cn/download'
self.prefix_href = 'https://www.szse.cn/'
#
p_a = re.compile('(.*?)', re.DOTALL)
p_span = re.compile('(.*?)', re.DOTALL)
self.get_code = lambda txt: p_a.search(txt).group(1).strip()
self.get_time = lambda txt: p_span.search(txt).group(1).strip()
#
self.txt_to_df()
def txt_to_df(self):
# html table text to DataFrame
html = self.html
p = re.compile('(.*?) ', re.DOTALL)
trs = p.findall(html)
p2 = re.compile('(.*?)', re.DOTALL)
tds = [p2.findall(tr) for tr in trs[1:]]
df = pd.DataFrame({'证券代码': [td[0] for td in tds],
'简称': [td[1] for td in tds],
'公告标题': [td[2] for td in tds],
'公告时间': [td[3] for td in tds]})
self.df_txt = df
def get_link(self, txt):
p_txt = '(.*?)'
p = re.compile(p_txt, re.DOTALL)
matchObj = p.search(txt)
attachpath = matchObj.group(1).strip()
href = matchObj.group(2).strip()
title = matchObj.group(3).strip()
return([attachpath, href, title])
def get_data(self):
get_code = self.get_code
get_time = self.get_time
get_link = self.get_link
#
df = self.df_txt
codes = [get_code(td) for td in df['证券代码']]
short_names = [get_code(td) for td in df['简称']]
ahts = [get_link(td) for td in df['公告标题']]
times = [get_time(td) for td in df['公告时间']]
#
prefix = self.prefix
prefix_href = self.prefix
df = pd.DataFrame({'证券代码': codes,
'简称': short_names,
'公告标题': [aht[2] for aht in ahts],
'attachpath': [prefix + aht[0] for aht in ahts],
'href': [prefix_href + aht[1] for aht in ahts],
'公告时间': times
})
self.df_data = df
return(df)
f = open('HW3.html',encoding='utf-8')
html = f.read()
f.close()
dt = DisclosureTable(html) # 对html应用定义的class
df = dt.get_data()
df.to_csv('data.csv')
谢钦焱的截图
韩晓莉的截图
孙真真的截图
先导入各部分模块,然后爬取靖远煤电年报信息的网页。再定义面向对象的函数,最后引用模块。如截图所示。