


Sharing code examples of Python simulating logging into Taobao and counting Taobao consumption
The numbers on Alipay’s ten-year bill are a bit scary, but it counts too many items. I just wanted to see how much I spent on Taobao, so I wrote a script to count the consumption of Taobao orders in any period of time. Judging from the results, I am actually quite frugal on Taobao.
The main job of the script is to simulate browser login and parse the "Purchased Baby" page to obtain the specified order and baby information.
For usage, see the code or execute the command with parameter -h. In addition, BeautifulSoup4 support is required. BeautifulSoup’s official project list page: https://www.crummy.com/software/BeautifulSoup/bs4/download/
First let’s talk about how to use the code:
python taobao.py -u USERNAME -p PASSWORD -s START-DATE -e END-DATE --verbose
All parameters are optional, such as:
python taobao.py -u jinnlynn
Statistics on all orders of user jinnlynn
python taobao.py -s 2014-12-12 -e 2014-12-12
Statistics on the order status of users (the user name will be required to be entered when the command is executed) on 2014-12-12
python taobao.py --verbose
In this way, order details can be counted and output.
Okay, having said so much, let’s take a look at the code:
from __future__ import unicode_literals, print_function, absolute_import, division import urllib import urllib2 import urlparse import cookielib import re import sys import os import json import subprocess import argparse import platform from getpass import getpass from datetime import datetime from pprint import pprint try: from bs4 import BeautifulSoup except ImportError: sys.exit('BeautifulSoup4 missing.') __version__ = '1.0.0' __author__ = 'JinnLynn' __copyright__ = 'Copyright (c) 2014 JinnLynn' __license__ = 'The MIT License' HEADERS = { 'x-requestted-with' : 'XMLHttpRequest', 'Accept-Language' : 'zh-cn', 'Accept-Encoding' : 'gzip, deflate', 'ContentType' : 'application/x-www-form-urlencoded; chartset=UTF-8', 'Cache-Control' : 'no-cache', 'User-Agent' :'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.38 Safari/537.36', 'Connection' : 'Keep-Alive' } DEFAULT_POST_DATA = { 'TPL_username' : '', #用户名 'TPL_password' : '', #密码 'TPL_checkcode' : '', 'need_check_code' : 'false', 'callback' : '0', # 有值返回JSON } # 无效订单状态 INVALID_ORDER_STATES = [ 'CREATE_CLOSED_OF_TAOBAO', # 取消 'TRADE_CLOSED', # 订单关闭 ] LOGIN_URL = 'https://login.taobao.com/member/login.jhtml' RAW_IMPUT_ENCODING = 'gbk' if platform.system() == 'Windows' else 'utf-8' def _request(url, data, method='POST'): if data: data = urllib.urlencode(data) if method == 'GET': if data: url = '{}?{}'.format(url, data) data = None # print(url) # print(data) req = urllib2.Request(url, data, HEADERS) return urllib2.urlopen(req) def stdout_cr(msg=''): sys.stdout.write('\r{:10}'.format(' ')) sys.stdout.write('\r{}'.format(msg)) sys.stdout.flush() def get(url, data=None): return _request(url, data, method='GET') def post(url, data=None): return _request(url, data, method='POST') def login_post(data): login_data = DEFAULT_POST_DATA login_data.update(data) res = post(LOGIN_URL, login_data) return json.load(res, encoding='gbk') def login(usr, pwd): data = { 'TPL_username' : usr.encode('utf-8' if platform.system() == 'Windows' else 'GB18030'), 'TPL_password' : pwd } # 1. 尝试登录 ret = login_post(data) while not ret.get('state', False): code = ret.get('data', {}).get('code', 0) if code == 3425 or code == 1000: print('INFO: {}'.format(ret.get('message'))) check_code = checkcode(ret.get('data', {}).get('ccurl')) data.update({'TPL_checkcode' : check_code, 'need_check_code' : 'true'}) ret = login_post(data) else: sys.exit('ERROR. code: {}, message:{}'.format(code, ret.get('message', ''))) token = ret.get('data', {}).get('token') print('LOGIN SUCCESS. token: {}'.format(token)) # 2. 重定向 # 2.1 st值 res = get('https://passport.alipay.com/mini_apply_st.js', { 'site' : '0', 'token' : token, 'callback' : 'stCallback4'}) content = res.read() st = re.search(r'"st":"(\S*)"( |})', content).group(1) # 2.1 重定向 get('http://login.taobao.com/member/vst.htm', {'st' : st, 'TPL_uesrname' : usr.encode('GB18030')}) def checkcode(url): filename, _ = urllib.urlretrieve(url) if not filename.endswith('.jpg'): old_fn = filename filename = '{}.jpg'.format(filename) os.rename(old_fn, filename) if platform.system() == 'Darwin': # mac 下直接preview打开 subprocess.call(['open', filename]) elif platform.system() == 'Windows': # windows 执行文件用默认程序打开 subprocess.call(filename, shell=True) else: # 其它系统 输出文件名 print('打开该文件获取验证码: {}'.format(filename)) return raw_input('输入验证码: '.encode(RAW_IMPUT_ENCODING)) def parse_bought_list(start_date=None, end_date=None): url = 'http://buyer.trade.taobao.com/trade/itemlist/list_bought_items.htm' # 运费险 增值服务 分段支付(定金,尾款) extra_service = ['freight-info', 'service-info', 'stage-item'] stdout_cr('working... {:.0%}'.format(0)) # 1. 解析第一页 res = urllib2.urlopen(url) soup = BeautifulSoup(res.read().decode('gbk')) # 2. 获取页数相关 page_jump = soup.find('span', id='J_JumpTo') jump_url = page_jump.attrs['data-url'] url_parts = urlparse.urlparse(jump_url) query_data = dict(urlparse.parse_qsl(url_parts.query)) total_pages = int(query_data['tPage']) # 解析 orders = [] cur_page = 1 out_date = False errors = [] while True: bought_items = soup.find_all('tbody', attrs={'data-orderid' : True}) # pprint(len(bought_items)) count = 0 for item in bought_items: count += 1 # pprint('{}.{}'.format(cur_page, count)) try: info = {} # 订单在页面上的位置 页数.排序号 info['pos'] = '{}.{}'.format(cur_page, count) info['orderid'] = item.attrs['data-orderid'] info['status'] = item.attrs['data-status'] # 店铺 node = item.select('tr.order-hd a.shopname') if not node: # 店铺不存在,可能是赠送彩票订单,忽略 # print('ignore') continue info['shop_name'] = node[0].attrs['title'].strip() info['shop_url'] = node[0].attrs['href'] # 日期 node = item.select('tr.order-hd span.dealtime')[0] info['date'] = datetime.strptime(node.attrs['title'], '%Y-%m-%d %H:%M') if end_date and info['date'].toordinal() > end_date.toordinal(): continue if start_date and info['date'].toordinal() < start_date.toordinal(): out_date = True break # 宝贝 baobei = [] node = item.find_all('tr', class_='order-bd') # pprint(len(node)) for n in node: try: bb = {} if [True for ex in extra_service if ex in n.attrs['class']]: # 额外服务处理 # print('额外服务处理') name_node = n.find('td', class_='baobei') # 宝贝地址 bb['name'] = name_node.text.strip() bb['url'] = '' bb['spec'] = '' # 宝贝快照 bb['snapshot'] = '' # 宝贝价格 bb['price'] = 0.0 # 宝贝数量 bb['quantity'] = 1 bb['is_goods'] = False try: bb['url'] = name_node.find('a').attrs['href'] bb['price'] = float(n.find('td', class_='price').text) except: pass else: name_node = n.select('p.baobei-name a') # 宝贝地址 bb['name'] = name_node[0].text.strip() bb['url'] = name_node[0].attrs['href'] # 宝贝快照 bb['snapshot'] = '' if len(name_node) > 1: bb['snapshot'] = name_node[1].attrs['href'] # 宝贝规格 bb['spec'] = n.select('.spec')[0].text.strip() # 宝贝价格 bb['price'] = float(n.find('td', class_='price').attrs['title']) # 宝贝数量 bb['quantity'] = int(n.find('td', class_='quantity').attrs['title']) bb['is_goods'] = True baobei.append(bb) # 尝试获取实付款 # 实付款所在的节点可能跨越多个tr的td amount_node = n.select('td.amount em.real-price') if amount_node: info['amount'] = float(amount_node[0].text) except Exception as e: errors.append({ 'type' : 'baobei', 'id' : '{}.{}'.format(cur_page, count), 'node' : '{}'.format(n), 'error' : '{}'.format(e) }) except Exception as e: errors.append({ 'type' : 'order', 'id' : '{}.{}'.format(cur_page, count), 'node' : '{}'.format(item), 'error' : '{}'.format(e) }) info['baobei'] = baobei orders.append(info) stdout_cr('working... {:.0%}'.format(cur_page / total_pages)) # 下一页 cur_page += 1 if cur_page > total_pages or out_date: break query_data.update({'pageNum' : cur_page}) page_url = '{}?{}'.format(url, urllib.urlencode(query_data)) res = urllib2.urlopen(page_url) soup = BeautifulSoup(res.read().decode('gbk')) stdout_cr() if errors: print('INFO. 有错误发生,统计结果可能不准确。') # pprint(errors) return orders def output(orders, start_date, end_date): amount = 0.0 org_amount = 0 baobei_count = 0 order_count = 0 invaild_order_count = 0 for order in orders: if order['status'] in INVALID_ORDER_STATES: invaild_order_count += 1 continue amount += order['amount'] order_count += 1 for baobei in order.get('baobei', []): if not baobei['is_goods']: continue org_amount += baobei['price'] * baobei['quantity'] baobei_count += baobei['quantity'] print('{:<9} {}'.format('累计消费:', amount)) print('{:<9} {}/{}'.format('订单/宝贝:', order_count, baobei_count)) if invaild_order_count: print('{:<9} {} (退货或取消等, 不在上述订单之内)'.format('无效订单:', invaild_order_count)) print('{:<7} {}'.format('宝贝原始总价:', org_amount)) print('{:<7} {:.2f}'.format('宝贝平均单价:', 0 if baobei_count == 0 else org_amount / baobei_count)) print('{:<9} {} ({:.2%})'.format('节约了(?):', org_amount - amount, 0 if org_amount == 0 else (org_amount - amount) / org_amount)) from_date = start_date if start_date else orders[-1]['date'] to_date = end_date if end_date else datetime.now() print('{:<9} {:%Y-%m-%d} - {:%Y-%m-%d}'.format('统计区间:', from_date, to_date)) if not start_date: print('{:<9} {:%Y-%m-%d %H:%M}'.format('败家始于:', orders[-1]['date'])) def ouput_orders(orders): print('所有订单:') if not orders: print(' --') return for order in orders: print(' {:-^20}'.format('-')) print(' * 订单号: {orderid} 实付款: {amount} 店铺: {shop_name} 时间: {date:%Y-%m-%d %H:%M}'.format(**order)) for bb in order['baobei']: if not bb['is_goods']: continue print(' - {name}'.format(**bb)) if bb['spec']: print(' {spec}'.format(**bb)) print(' {price} X {quantity}'.format(**bb)) def main(): parser = argparse.ArgumentParser( prog='python {}'.format(__file__) ) parser.add_argument('-u', '--username', help='淘宝用户名') parser.add_argument('-p', '--password', help='淘宝密码') parser.add_argument('-s', '--start', help='起始时间,可选, 格式如: 2014-11-11') parser.add_argument('-e', '--end', help='结束时间,可选, 格式如: 2014-11-11') parser.add_argument('--verbose', action='store_true', default=False, help='订单详细输出') parser.add_argument('-v', '--version', action='version', version='v{}'.format(__version__), help='版本号') args = parser.parse_args() usr = args.username if not usr: usr = raw_input('输入淘宝用户名: '.encode(RAW_IMPUT_ENCODING)) usr = usr.decode('utf-8') # 中文输入问题 pwd = args.password if not pwd: if platform.system() == 'Windows': # Windows下中文输出有问题 pwd = getpass() else: pwd = getpass('输入淘宝密码: '.encode('utf-8')) pwd = pwd.decode('utf-8') verbose = args.verbose start_date = None if args.start: try: start_date = datetime.strptime(args.start, '%Y-%m-%d') except Exception as e: sys.exit('ERROR. {}'.format(e)) end_date = None if args.end: try: end_date = datetime.strptime(args.end, '%Y-%m-%d') except Exception as e: sys.exit('ERROR. {}'.format(e)) if start_date and end_date and start_date > end_date: sys.exit('ERROR, 结束日期必须晚于或等于开始日期') cj_file = './{}.tmp'.format(usr) cj = cookielib.LWPCookieJar() try: cj.load(cj_file) except: pass opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cj), urllib2.HTTPHandler) urllib2.install_opener(opener) login(usr, pwd) try: cj.save(cj_file) except: pass orders = parse_bought_list(start_date, end_date) output(orders, start_date, end_date) # 输出订单明细 if verbose: ouput_orders(orders) if __name__ == '__main__': main()

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft