Python自动化爬取天眼查数据的实现

# coding=utf-8
from selenium import webdriver
import time
from PIL import Image, ImageGrab
from io import BytesIO
from selenium.webdriver.common.action_chains import ActionChains
import os
import sys
import re
import xlwt
import urllib
import datetime
 
'''
用于天眼查自动登录，解决滑块验证问题
'''
 
# 获取项目根目录
def app_path():
 if hasattr(sys, 'frozen'):
  return os.path.dirname(os.path.dirname(os.path.dirname(sys.executable))) #使用pyinstaller打包后的exe目录
 return os.path.dirname(__file__)
 
app_path = app_path()
 
ready_list = []
 
#设置表格样式
def set_style(name,height,bold=False):
 style = xlwt.XFStyle()
 font = xlwt.Font()
 font.name = name
 # font.bold = bold
 font.color_index = 4
 font.height = height
 style.font = font
 return style
 
# 写excel
f = xlwt.Workbook()
sheet1 = f.add_sheet('企查查数据',cell_overwrite_ok=True)
row0 = ["企业名称","法定代表人","注册资本","成立日期","电话","邮箱","地址"]
for i in range(0, len(row0)):
 sheet1.write(0, i, row0[i], set_style('Times New Roman', 220, True))
 
# 写列
def write_col(data, row, col):
 for i in range(0,len(data)):
  sheet1.write(row,col,data[i],set_style('Times New Roman',220,True))
  row = row + 1
 
def parse_save_data(all_list):
 row = 1
 for data in all_list:
  # 公司名称
  name_list = re.findall(r'<div class="info">(.*?)</div>',data)
  print(name_list)
 
  # 标签
  tag_list = re.findall(r'<div class="tag-list">(.*)</div><div class="info row text-ellipsis">', data)
  tags = []
  for list in tag_list:
tag = re.findall(r'<div class="tag-common -primary -new">(.*?)</div>', list)
tags.append(tag)
  # print(tags)
 
  # 法定代表人
  legal_list = re.findall(r'<a title="(.*?)" class="legalPersonName link-click"',data)
  # print(legal_list)
 
  # 注册资本
  registered_capital_list  = re.findall(r'注册资本：<span title="(.*?)">',data)
  # print(registered_capital_list)
 
  # 成立日期
  date_list  = re.findall(r'成立日期：<span title="(.*?)">',data)
  # print(date_list)
 
  # 电话
  tel_list  = re.findall(r'<div class="triangle" style=""></div><div class=""></div></div></div><span>(.*?)</span>',data)
  # print(tel_list)
 
  # 邮箱
  email_list  = re.findall(r'邮箱：</span><span>(.*?)</span>',data)
  # print(email_list)
 
  # 地址
  adress_list  = re.findall(r'地址：</span><span>(.*?)</span>',data)
  # print(adress_list)
  write_col(name_list,row,0)
  # write_col(tags,1)
  write_col(legal_list,row,1)
  write_col(registered_capital_list,row,2)
  write_col(date_list,row,3)
  write_col(tel_list,row,4)
  write_col(email_list,row,5)
  write_col(adress_list,row,6)
 
  row = row + len(name_list)
 
 s = str([datetime.datetime.now()][-1])
 name = '/天眼查数据' + s[:10] + s[-6:] + '.xls'
 f.save(app_path + name)
 
def get_track(distance):
 """
 根据偏移量获取移动轨迹
 :param distance: 偏移量
 :return: 移动轨迹
 """
 # 移动轨迹
 track = []
 # 当前位移
 current = 0
 # 减速阈值
 mid = distance * 2 / 5
 # 计算间隔
 t = 0.2
 # 初速度
 v = 1
 
 while current < distance:
  if current < mid:
# 加速度为正2
a = 5
  else:
# 加速度为负3
a = -2
  # 初速度v0
  v0 = v
  # 当前速度v = v0 + at
  v = v0 + a * t
  # 移动距离x = v0t + 1/2 * a * t^2
  move = v0 * t + 1 / 2 * a * t * t
  # 当前位移
  current += move
  # 加入轨迹
  track.append(round(move))
 return track
 
 
def autologin(account, password):
 count = 0
 global driver,page,keywords
 driver.get('https://www.tianyancha.com/?jsid=SEM-BAIDU-PP-SY-000873&bd_vid=7864822754227867779')
 time.sleep(3)
 try:
  driver.find_element_by_xpath('//*[@id="tyc_banner_close"]').click()
 except:
  pass
 
 driver.find_element_by_xpath('//div[@class="nav-item -home  -p10"]/a').click()
 time.sleep(3)
 # 这里点击密码登录时用id去xpath定位是不行的，因为这里的id是动态变化的，所以这里换成了class定位
 driver.find_element_by_xpath('.//div[@class="sign-in"]/div/div[2]').click()
 time.sleep(1)
 accxp = './/input[@id="mobile"]'
 pasxp = './/input[@id="password"]'
 driver.find_element_by_xpath(accxp).send_keys(account)
 driver.find_element_by_xpath(pasxp).send_keys(password)
 clixp = './/div[@class="sign-in"]/div[2]/div[2]'
 driver.find_element_by_xpath(clixp).click()
 # 点击登录之后开始截取验证码图片
 time.sleep(2)
 img = driver.find_element_by_xpath('/html/body/div[10]/div[2]/div[2]/div[1]/div[2]/div[1]')
 time.sleep(0.5)
 # 获取图片位子和宽高
 location = img.location
 size = img.size
 # 返回左上角和右下角的坐标来截取图片
 top, bottom, left, right = location['y'], location['y'] + size['height'], location['x'], location['x'] + size[
  'width']
 # 截取第一张图片(无缺口的)
 screenshot = driver.get_screenshot_as_png()
 screenshot = Image.open(BytesIO(screenshot))
 captcha1 = screenshot.crop((left, top, right, bottom))
 print('--->', captcha1.size)
 captcha1.save('captcha1.png')
 # 截取第二张图片(有缺口的)
 driver.find_element_by_xpath('/html/body/div[10]/div[2]/div[2]/div[2]/div[2]').click()
 time.sleep(4)
 img1 = driver.find_element_by_xpath('/html/body/div[10]/div[2]/div[2]/div[1]/div[2]/div[1]')
 time.sleep(0.5)
 location1 = img1.location
 size1 = img1.size
 top1, bottom1, left1, right1 = location1['y'], location1['y'] + size1['height'], location1['x'], location1['x'] + \
 size1['width']
 screenshot = driver.get_screenshot_as_png()
 screenshot = Image.open(BytesIO(screenshot))
 captcha2 = screenshot.crop((left1, top1, right1, bottom1))
 captcha2.save('captcha2.png')
 # 获取偏移量
 left = 55  # 这个是去掉开始的一部分
 for i in range(left, captcha1.size[0]):
  for j in range(captcha1.size[1]):
# 判断两个像素点是否相同
pixel1 = captcha1.load()[i, j]
pixel2 = captcha2.load()[i, j]
threshold = 60
if abs(pixel1[0] - pixel2[0]) < threshold and abs(pixel1[1] - pixel2[1]) < threshold and abs(
  pixel1[2] - pixel2[2]) < threshold:
 pass
else:
 left = i
 print('缺口位置', left)
 # 减去缺口位移
 left -= 52
 # 开始移动
 track = get_track(left)
 print('滑动轨迹', track)
 # track += [5,4,5,-6, -3,5,-2,-3, 3,6,-5, -2,-2,-4]  # 滑过去再滑过来，不然有可能被吃
 # 拖动滑块
 slider = driver.find_element_by_xpath('/html/body/div[10]/div[2]/div[2]/div[2]/div[2]')
 ActionChains(driver).click_and_hold(slider).perform()
 for x in track:
  ActionChains(driver).move_by_offset(xoffset=x, yoffset=0).perform()
 time.sleep(0.2)
 ActionChains(driver).release().perform()
 time.sleep(1)
 try:
  if driver.find_element_by_xpath('/html/body/div[10]/div[2]/div[2]/div[2]/div[2]'):
print('能找到滑块，重新试')
# driver.delete_all_cookies()
# driver.refresh()
# autologin(driver, account, password)
  else:
print('login success')
 except:
  print('login success')
 
 time.sleep(0.2)
 driver.find_element_by_xpath('.//input[@id="home-main-search"]').send_keys(keywords)
 driver.find_element_by_xpath('.//div[@class="input-group home-group"]/div[1]').click()
 
 # 爬数据
 data = driver.find_element_by_xpath('.//div[@class="result-list sv-search-container"]').get_attribute('innerHTML')
 count = count + 1
 
 # 添加待解析数据
 ready_list.append(data)
 
 while count < page:
  # 点击下一页
  # driver.find_element_by_xpath('./ul[@class="pagination"]]/li/a[@class="num -next"]').click()
  url = 'https://www.tianyancha.com/search/p{}?key={}'.format(count + 1,urllib.parse.quote(keywords))
  driver.get(url)
  time.sleep(2)
  data = driver.find_element_by_xpath('.//div[@class="result-list sv-search-container"]').get_attribute('innerHTML')
  count = count + 1
  ready_list.append(data)
 
 # 解析并写数据
 parse_save_data(ready_list)
 print('获取数据完毕')
 
  # if __name__ == '__main__':
 # driver_path = 'C:/Program Files (x86)/Google/Chrome/Application/chromedriver.exe'
 # chromeoption = webdriver.ChromeOptions()
 # chromeoption.add_argument('--headless')
 # chromeoption.add_argument('user-agent='+user_agent)
 
keywords = input('请输入关键词:')
account = input('请输入查天眼账号:')
password = input('请输入查天眼密码:')
page = int(input('请输入获取页数:'))
driver = webdriver.Chrome()
driver.maximize_window()
driver.implicitly_wait(10)
print('开始获取数据。。。')
autologin(account, password)
 

pyinstaller main.py -p D:\Anaconda3\Lib\site-packages