Python自動化爬取天眼查數(shù)據(jù)的實現(xiàn)
首先要注冊一個賬號密碼,通過賬號密碼登錄,并且滑塊驗證,自動輸入搜索關鍵詞,進行跳轉翻頁爬取數(shù)據(jù),并保存到Excel文件中。
代碼運行時,滑塊驗證經(jīng)常不通過,被吃掉,但是發(fā)現(xiàn)打包成exe運行沒有這個問題,100%成功登錄。如果大家知道這個問題麻煩請與我分享,謝謝!
廢話不多說直接上代碼
# 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 ''' 用于天眼查自動登錄,解決滑塊驗證問題 ''' # 獲取項目根目錄 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目錄 return os.path.dirname(__file__) app_path = app_path() ready_list = [] #設置表格樣式 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 # 寫excel f = xlwt.Workbook() sheet1 = f.add_sheet('企查查數(shù)據(jù)',cell_overwrite_ok=True) row0 = ["企業(yè)名稱","法定代表人","注冊資本","成立日期","電話","郵箱","地址"] for i in range(0, len(row0)): sheet1.write(0, i, row0[i], set_style('Times New Roman', 220, True)) # 寫列 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: # 公司名稱 name_list = re.findall(r'<div class="info">(.*?)</div>',data) print(name_list) # 標簽 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) # 注冊資本 registered_capital_list = re.findall(r'注冊資本:<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) # 電話 tel_list = re.findall(r'<div class="triangle" style=""></div><div class=""></div></div></div><span>(.*?)</span>',data) # print(tel_list) # 郵箱 email_list = re.findall(r'郵箱:</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 = '/天眼查數(shù)據(jù)' + s[:10] + s[-6:] + '.xls' f.save(app_path + name) def get_track(distance): """ 根據(jù)偏移量獲取移動軌跡 :param distance: 偏移量 :return: 移動軌跡 """ # 移動軌跡 track = [] # 當前位移 current = 0 # 減速閾值 mid = distance * 2 / 5 # 計算間隔 t = 0.2 # 初速度 v = 1 while current < distance: if current < mid: # 加速度為正2 a = 5 else: # 加速度為負3 a = -2 # 初速度v0 v0 = v # 當前速度v = v0 + at v = v0 + a * t # 移動距離x = v0t + 1/2 * a * t^2 move = v0 * t + 1 / 2 * a * t * t # 當前位移 current += move # 加入軌跡 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) # 這里點擊密碼登錄時用id去xpath定位是不行的,因為這里的id是動態(tài)變化的,所以這里換成了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() # 點擊登錄之后開始截取驗證碼圖片 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) # 獲取圖片位子和寬高 location = img.location size = img.size # 返回左上角和右下角的坐標來截取圖片 top, bottom, left, right = location['y'], location['y'] + size['height'], location['x'], location['x'] + size[ 'width'] # 截取第一張圖片(無缺口的) 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') # 截取第二張圖片(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') # 獲取偏移量 left = 55 # 這個是去掉開始的一部分 for i in range(left, captcha1.size[0]): for j in range(captcha1.size[1]): # 判斷兩個像素點是否相同 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) # 減去缺口位移 left -= 52 # 開始移動 track = get_track(left) print('滑動軌跡', track) # track += [5,4,5,-6, -3,5,-2,-3, 3,6,-5, -2,-2,-4] # 滑過去再滑過來,不然有可能被吃 # 拖動滑塊 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('能找到滑塊,重新試') # 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() # 爬數(shù)據(jù) data = driver.find_element_by_xpath('.//div[@class="result-list sv-search-container"]').get_attribute('innerHTML') count = count + 1 # 添加待解析數(shù)據(jù) ready_list.append(data) while count < page: # 點擊下一頁 # 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) # 解析并寫數(shù)據(jù) parse_save_data(ready_list) print('獲取數(shù)據(jù)完畢') # 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('請輸入關鍵詞:') account = input('請輸入查天眼賬號:') password = input('請輸入查天眼密碼:') page = int(input('請輸入獲取頁數(shù):')) driver = webdriver.Chrome() driver.maximize_window() driver.implicitly_wait(10) print('開始獲取數(shù)據(jù)。。。') autologin(account, password)
打包成exe(注意site-packages要換成自己python包的目錄)
pyinstaller main.py -p D:\Anaconda3\Lib\site-packages
最終運行dist目錄下的exe
注意事項
由于天眼查沒有開會員只能查看到4頁內(nèi)容,所以需要開會員,這個想要繞過就需要另外去研究,畢竟是要充錢付費,破解也沒那么簡單
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