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！

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'<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)
 

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

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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