python通過adb爬取支付寶移動端賬單資訊__python

python通過adb串連爬取支付寶移動端的賬單資訊,操作過程如下:

於是此檔案就可以分解為如下四個主要功能:

1.圖片識別;2.類比點擊;3.類比滑動;4.截圖功能

一.對賬單詳情頁的處理:

      對賬單詳情頁截圖後,再選擇用圖片分割,捕捉到3個截圖,分別是:名稱欄位,賬單數額欄位;賬單編號欄位;

二.對賬單縮減頁的處理:

      如何處理賬單的縮減頁,開始時自己是想，傳入一個基準，然後每次向下遍曆一個等額的數值進行點擊,擷取詳情頁的資料,但是這樣的話,每次只能擷取一頁,而且對遍曆的條件無法得知，於是自己就選擇了讀完一條資料就向下滾動的方法，進行遍曆每一條的賬單;

三.對每月賬單的篩選：

     當自己選擇讀完一條資料向下滾動時,此時加上一個判斷條件，即如果接下來截圖並且分割好的圖片中如果含有'月'或者'目'的欄位時,就將其判別為當月結束，跳出迴圈,否則向下滾動,並且類比點擊;

# -*- coding: utf-8 -*-import osimport mathimport matplotlib.pyplot as pltimport pytesseractfrom PIL import Imageimport timeimport csvimport numpy as npimport matplotlib.image as mpimgclass Pay_ali:    def __init__(self):        self._coefficient = 1.35        self._click_count = 0        self._coords = []    #輸出函數    def print_all(self,text):        print(text)        print('\n')    # 圖片識別    def img_rec(self,img):        text = pytesseract.image_to_string(Image.open(img), lang='chi_sim')        # print(type(text))        self.print_all(text)        return text    #點擊功能    def acquire_info(self,x1,y1):        x1 = str(x1)        y1 = str(y1)        os.system('adb shell input tap ' + x1 + ' ' + y1)    #滑動功能    def acquire_swipe(self,x1,y1,x2,y2):        x1 = str(x1)        y1 = str(y1)        x2 = str(x2)        y2 = str(y2)        os.system('adb shell input swipe ' + x1 + ' ' + y1+' '+x2+' '+y2)    # 截圖功能    def cut_info(self,path):        path = str(path)        # screenshot.png.        os.system('adb shell screencap -p /sdcard/'+path)        os.system('adb pull /sdcard/'+path)    # 切分+識別功能    def seg_info(self,x1,y1,x2,y2,path,out_path):        path = str(path)        out_path = str(out_path)        # 此處有不足的情況,截圖會覆蓋        img = Image.open(path)        region=(x1,y1,x2,y2)        # print(region)        cropImg = img.crop(region)        cropImg.save(out_path)        text = self.img_rec(out_path)        return text    # 顯示圖片功能    def img_show(self,src):        img = Image.open(src)        plt.imshow(img)        plt.show()    # 擷取當月資訊    def acquire_info_month(self,start,end):        # start+=262        while (end - start) >= 100:            # start += 262            time.sleep(1)            self.cut_info('screen2.png')            text = self.seg_info(23,start,200,start+250,'screen2.png','crop2.png')            if(text.find('月')>=0 or text.find('目')>=0):                # self.acquire_swipe(23,start+300,23,start)                break            else:                self.acquire_swipe(23,start+220,23,start)            self.acquire_info(240,start+100)            time.sleep(1)            self.cut_info('screen1.png')            time.sleep(1)            self.csv_save()            time.sleep(1)            self.acquire_info(302.8,2100.3)    # 將資料儲存成csv    def csv_save(self):        name = self.seg_info(482, 258, 693, 332, 'screen1.png', 'crop1.png')        money = self.seg_info(305, 367, 747, 492, 'screen1.png', 'crop1.png')        money_info = self.seg_info(20, 646, 1061, 1709, 'screen1.png', 'crop1.png')        # money_info = self.seg_info(20, 646, 1061, 1709, 'screen1.png', 'crop1.png')        rows = [(name,money,money_info)]        with open('pay_ali.csv','a') as f:            f_csv = csv.writer(f)            f_csv.writerows(rows)    # 運行函數    def run(self):        self.acquire_info(972.8,1954.93)        self.acquire_info(254,714)        self.acquire_info(240,732)        time.sleep(1)        self.cut_info('screen1.png')        time.sleep(1)        # self.seg_info(342.7, 364.2, 707.7, 489.6)        # self.seg_info(417,258,704,338)        self.csv_save()        time.sleep(1)        self.acquire_info(302.8,2100.3)        # self.img_show('crop.png')        self.acquire_info_month(475,2023)if __name__ == "__main__":    pay_ali = Pay_ali()    pay_ali.run()    # pay_ali.cut_info('screen_test.png')    # pay_ali.img_show('screen_test.png')

整個小demo實現難度不大，現在存在的問題在於如何適配不同的機型，歡迎拍磚~