Python自动化爬取天眼查数据的实现

首先要注册一个账号密码,通过账号密码登录,并且滑块验证,自动输入搜索关键词,进行跳转翻页爬取数据,并保存到Excel文件中。

代码运行时,滑块验证经常不通过,被吃掉,但是发现打包成exe运行没有这个问题,100%成功登录。如果大家知道这个问题麻烦请与我分享,谢谢!

Python自动化爬取天眼查数据的实现_第1张图片

废话不多说直接上代码

# 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'
(.*?)
',data) print(name_list) # 标签 tag_list = re.findall(r'
(.*)
', data) tags = [] for list in tag_list: tag = re.findall(r'
(.*?)
', list) tags.append(tag) # print(tags) # 法定代表人 legal_list = re.findall(r'',data) # print(registered_capital_list) # 成立日期 date_list = re.findall(r'成立日期:',data) # print(date_list) # 电话 tel_list = re.findall(r'
(.*?)',data) # print(tel_list) # 邮箱 email_list = re.findall(r'邮箱:(.*?)',data) # print(email_list) # 地址 adress_list = re.findall(r'地址:(.*?)',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)

打包成exe(注意site-packages要换成自己python包的目录)

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

最终运行dist目录下的exe

Python自动化爬取天眼查数据的实现_第2张图片

注意事项

由于天眼查没有开会员只能查看到4页内容,所以需要开会员,这个想要绕过就需要另外去研究,毕竟是要充钱付费,破解也没那么简单

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