python爬虫小测试
2024-05-18 01:55:26
功能
实现数据抓取；定时发送邮件
1、数据抓取
新建work.py文件
#!/usr/bin/python3
# pip3 install requests pandas lxml xlsxwriter openpyxl -i https://pypi.tuna.tsinghua.edu.cn/simple
import re
import requests
import random,time
from lxml import html
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.header import Header
import threading
from queue import Queue
import time
#from func_timeout import FunctionTimedOut, func_timeout
import pandas as pdgQueue = Queue()
headers = {"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8","Accept-Encoding": "gzip, deflate","Accept-Language": "en-US,en;q=0.5","Connection": "keep-alive","Host": "blog.csdn.net","Upgrade-Insecure-Requests": "1","User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:52.0) Gecko/20100101 Firefox/52.0"}class MyLog:def __init__(self):import logging,osself.logger = logging.getLogger()self.logger.setLevel(logging.DEBUG) # Log等级总开关#rq = time.strftime('%Y%m%d', time.localtime(time.time()))logdir = "/var/log/my_log"if not os.path.exists(logdir):os.mkdir(logdir)logfile = logdir + '/message' + '.log'fh = logging.FileHandler(logfile, mode='a')fh.setLevel(logging.INFO)formatter = logging.Formatter("%(asctime)s - %(filename)s[line:%(lineno)d] - %(levelname)s: %(message)s")fh.setFormatter(formatter)self.logger.addHandler(fh)def info(self,mes):self.logger.info(mes)returndef debug(self,mes):self.logger.debug(mes)returndef warning(self,mes):self.logger.warning(mes)returndef error(self,mes):self.logger.error(mes)return
log = MyLog()
log.info('started')def get_page_count():url = "https://xyk.cebbank.com/jfmall/search?keywords="res = requests.get(url, headers, timeout=10)res.decoding = 'gbk'log.info(res.text)result = re.compile('<a href="javascript:void(0)" class="next" rel="next">(.*?)</a>',re.S)#result = re.compile('<a href=".*?" class="ep">(.*?)</a>',re.S)page = re.findall(result, res.text)log.info(page)def get_urls(page):global dict_scorerequests.DEFAULT_RETRIES = 15 # 增加重试连接次数s = requests.session()s.keep_alive = False # 关闭多余连接url0 = "https://xyk.cebbank.com/jfmall/search?keywords=&pageNo=" + str(page)req0 = requests.get(url0, headers, timeout=60)req0.decoding = 'gbk'#result = re.compile(r'class="t1 ">.*? <a target="_blank" title=".*?" href="(.*?)".*? <span class="t2">',re.S)#无re.S只在每一行内匹配result1 = re.compile('<div class="main-item-list-title">.*?<a href="(.*?)" class="text-hover-black js-filter-title" rel="noopener noreferrer"',re.S)result2 = re.compile('<span class="text-color-red text-font-size-18 text-font-weight-bold">(.*?)</span>',re.S)url = re.findall(result1, req0.text)jifen = re.findall(result2, req0.text)urls = ["https://xyk.cebbank.com" + u1 for u1 in url]dict_score = {}for i in range(0,len(urls)):dict_score[urls[i]] = jifen[i]return urlsdef deal_size_color(data):color = ''size = ''if len(data) == 0:color,size = '无','无'if len(data) == 1:if '色' in data[0]:color = data[0]size = '无'else:size = data[0]color = '无'if len(data) == 2:if '色' in data[0]:color = data[0]size = data[1]else:size = data[0]if '色' in data[1]:color = data[1]else:color = '无'if ',' in color:color = color.replace(',',';')if ',' in size:size = size.replace(',',';')if '"' in size:size = size.replace('"','')return [color,size]def get_data(url):try:global dict_scorerequests.DEFAULT_RETRIES = 15 # 增加重试连接次数s = requests.session()s.keep_alive = False # 关闭多余连接res = requests.get(url, headers, timeout=60)res.encoding = 'utf-8't1 = html.fromstring(res.text)name = t1.xpath('//div[@class="product-detail-content-title js-itemId"]/text()')[0].strip()duihuan = t1.xpath('//div[@class="text-color-red text-font-weight-bold"]/text()')[0].strip()score = dict_score[url]#color = t1.xpath('//span[@class="meta-title"]/text()')[0].strip()size_col = t1.xpath('//span[contains(@class,"meta-title")]/text()')#[0].strip()sc = deal_size_color(data=size_col)size = sc[1].strip()color = sc[0].strip()get_style = t1.xpath('//span[@class="exchangeWay"]/text()')[0].strip()categorys = t1.xpath('//a[@class="js-category-select"]/text()')tt = [i.strip() for i in categorys if i.strip()]category = tt[3]gongying = t1.xpath('//div[@class="real-information"]/span/text()')shop = gongying[1]shop_call = gongying[3]shop_time = gongying[5]content = str(name) + ',' + str(score) + ',' + str(color) + ',' + str(size) + ',' + str(get_style) + ',' + str(category) + ',' + str(duihuan) + ',' \+ str(shop) + ',' + str(shop_call) + ',' + str(shop_time) + ',' + str(url) + '\n'return contentexcept Exception as e:log.info(e)log.info("##################this url is a no response: %s" % url)def get_data_all(pages):pages = int(pages)for page in range(1,pages + 1):log.info('正在获取第%s页商品...' %page)urls_one = get_urls(page)log.info("该页所有商品URL: %s" % urls_one)log.info("正在全力工作中......")count = 0if not urls_one:continuetry:for i in urls_one:content = get_data(i)gQueue.put(content)#count += 1#today_time = time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(time.time()))#log.info(f'{today_time}###第{count}条###',content)time.sleep(3.4)#file.write(content)#log.info(content)except Exception as e:log.info(e)continuelog.info('成功取到所有数据.')def save_data():count = 0title = '商品名,兑换积分,商品规格,商品颜色,购买方式,分类,兑换,供货商名,供货商电话,供货商工作时间,商品链接\n'times = time.time()local_time = time.localtime(times)today = time.strftime("%Y-%m-%d",local_time)today_time = time.strftime("%Y-%m-%d %H:%M:%S",local_time)file_name = '/root/py/work-' + today + '.csv'with open(file_name, 'w', encoding='gbk') as file:file.write(title)while True:time.sleep(0.1)if not gQueue.empty():msg = gQueue.get()if msg == None:continuecount = count + 1today_time = time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(time.time()))log.info(f'%s###第%s条###%s' % (today_time,count,msg))with open(file_name, 'a', encoding='gbk') as file:file.write(msg)def send_mail():# 发信方的信息：发信邮箱，QQ 邮箱授权码# 授权码password可以在qq邮箱网站申请：设置->账户->开启服务：POP3/SMTP服务 (如何使用 Foxmail 等软件收发邮件？)选择开启\即可生成授权码from_addr = '......@qq.com'password = '......'# 收信方邮箱#to_addr_qq = '......@qq.com'to_addr_qq = '......@qq.com'to_addr = '......@nooce.cn'# 发信服务器smtp_server = 'smtp.qq.com'html_msg = """<p>csv文件</p>"""# 创建一个带附件的实例msgmsg = MIMEMultipart()msg['From'] = Header('Q') # 发送者msg['To'] = Header('珍') #times = time.time()local_time = time.localtime(times)today = time.strftime("%Y-%m-%d",local_time)today_title = time.strftime("%Y年%m月%d日，",local_time)subject = today_title + '来自Q sir的邮件'msg['Subject'] = Header(subject, 'utf-8') # 邮件主题# 邮件正文内容msg.attach(MIMEText(html_msg, 'html', 'utf-8'))# 构造附件1，传送当前目录下的 test1.txt 文件context = '/root/py/work-' + today + '.xlsx'att1 = MIMEText(open(context, 'rb').read(), 'base64', 'utf-8')att1["Content-Type"] = 'application/octet-stream'# 这里的filename可以任意写，写什么名字，邮件中显示什么名字att1["Content-Disposition"] = 'attachment; filename="zhuzhu-2022.xlsx"'msg.attach(att1)try:smtpobj = smtplib.SMTP_SSL(smtp_server)smtpobj.connect(smtp_server, 465) # 建立连接--qq邮箱服务和端口号smtpobj.login(from_addr, password) # 登录--发送者账号和口令smtpobj.sendmail(from_addr, to_addr, msg.as_string())smtpobj.sendmail(from_addr, to_addr_qq, msg.as_string())log.info("给小可爱的邮件已经成功发送！")except smtplib.SMTPException:log.info("无法发送邮件哦")finally:# 关闭服务器smtpobj.quit()def csv_excel():try:times = time.time()local_time = time.localtime(times)today = time.strftime("%Y-%m-%d",local_time)#filename = '/root/py/work-' + today + '.csv'#csv_file=pd.read_csv(filename, low_memory=False, encoding='gbk')#csv_file.to_excel('/root/py/work-' + today + '.xlsx', index=False, encoding='gbk')xlsFilepath = '/root/py/work-' + today + '.xlsx'csv_path = '/root/py/work-' + today + '.csv'my_dataframe = pd.read_csv(csv_path, low_memory=False, encoding='gbk')writer = pd.ExcelWriter(xlsFilepath, engine='xlsxwriter')#写excel文件使用pandas to_excelmy_dataframe.to_excel(writer, startrow = 1, sheet_name='Sheet1', index=False)workbook = writer.bookworksheet = writer.sheets['Sheet1']#遍历每一列并设置width ==该列的最大长度。填充长度也增加了2。for i, col in enumerate(my_dataframe.columns):# 求列I的长度column_len = my_dataframe[col].astype(str).str.len().max()# 如果列标题较大，则设置长度# 大于最大列值长度column_len = max(column_len, len(col)) + 2# 设置列的长度worksheet.set_column(i, i, column_len)writer.save()log.info("csv to excel success")return 0except Exception as e:log.info('csv to excel failed,reason is%s' % e)return -1def main():try:pages = 15#pages = func_timeout(10, lambda: input('请输入总页数（要输入整数哦）:'))except ValueError as e:log.info('不和你玩了！')return#except FunctionTimedOut:# pages = 10# log.info('输入超时，默认获取10页数据:')t1 = threading.Thread(target=get_data_all,args=(pages,))t2 = threading.Thread(target=save_data)t1.setDaemon(True)t2.setDaemon(True)t1.start()t2.start()while True:time.sleep(10)if t1.isAlive():passelse:exc = csv_excel()if exc != 0:returnlog.info("####准备发送邮件啦####")time.sleep(25)send_mail()log.info("####任务结束####")break
if __name__ == '__main__':main()
2、使用linux的crontab执行定时任务
crontab -e
05 09 * * * /usr/bin/python3 /root/py/work.py &
30 13 * * 1 /usr/bin/python3 /root/py/work.py &
3、使用httpx异步调用任务
#!/usr/bin/python3
import re
import httpx
import asyncio,aiohttp
import random,time
from lxml import html
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.header import Header
#import threading
from queue import Queue
import time,os
import pandas as pd
from func_timeout import FunctionTimedOut, func_timeoutgQueue = Queue()headers = {"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8","Accept-Encoding": "gzip, deflate","Accept-Language": "en-US,en;q=0.5","Connection": "keep-alive","Host": "xyk.cebbank.com","Upgrade-Insecure-Requests": "1","User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36"}dict_score = {}
url_res_dict = {}def send_mail():# 发信方的信息：发信邮箱，QQ 邮箱授权码from_addr = '@qq.com'password = ''# 收信方邮箱#to_addr_qq = '@qq.com'to_addr_qq = '@qq.com'to_addr = '@nooce.cn'# 发信服务器smtp_server = 'smtp.qq.com'html_msg = """<p>csv文件</p>"""# 创建一个带附件的实例msgmsg = MIMEMultipart()msg['From'] = Header('Q') # 发送者msg['To'] = Header('珍') #times = time.time()local_time = time.localtime(times)today = time.strftime("%Y-%m-%d",local_time)today_title = time.strftime("%Y-%m-%d:",local_time)subject = today_title + '来自Q sir的邮件'msg['Subject'] = Header(subject, 'utf-8') # 邮件主题# 邮件正文内容msg.attach(MIMEText(html_msg, 'html', 'utf-8'))# 构造附件1，传送当前目录下的 test1.txt 文件context = 'work-' + today + '.xlsx'att1 = MIMEText(open(context, 'rb').read(), 'base64', 'utf-8')att1["Content-Type"] = 'application/octet-stream'# 这里的filename可以任意写，写什么名字，邮件中显示什么名字att1["Content-Disposition"] = 'attachment; filename="zhuzhu-2022.xlsx"'msg.attach(att1)try:smtpobj = smtplib.SMTP_SSL(smtp_server)smtpobj.connect(smtp_server, 465) # 建立连接--qq邮箱服务和端口号smtpobj.login(from_addr, password) # 登录--发送者账号和口令smtpobj.sendmail(from_addr, to_addr, msg.as_string())smtpobj.sendmail(from_addr, to_addr_qq, msg.as_string())print("给小可爱的邮件已经成功发送！")except smtplib.SMTPException:print("无法发送邮件哦")finally:# 关闭服务器smtpobj.quit()def get_urls(page):global dict_scoreurl0 = "https://xyk.cebbank.com/jfmall/search?keywords=&pageNo=" + str(page)with httpx.Client() as client:req0 = client.get(url0,headers=headers,timeout=30)req0.decoding = 'gbk'#result = re.compile(r'class="t1 ">.*? <a target="_blank" title=".*?" href="(.*?)".*? <span class="t2">',re.S)#无re.S只在每一行内匹配result1 = re.compile('<div class="main-item-list-title">.*?<a href="(.*?)" class="text-hover-black js-filter-title" rel="noopener noreferrer"',re.S)result2 = re.compile('<span class="text-color-red text-font-size-18 text-font-weight-bold">(.*?)</span>',re.S)url = re.findall(result1, req0.text)jifen = re.findall(result2, req0.text)urls = ["https://xyk.cebbank.com" + u1 for u1 in url]if 'This is 403 error page' in req0.text:print('have a 403 error,function not use')returnfor i in range(0,len(urls)):dict_score[urls[i]] = jifen[i]return urlsdef deal_size_color(data):color = ''size = ''if len(data) == 0:color,size = '无','无'if len(data) == 1:if '色' in data[0]:color = data[0]size = '无'else:size = data[0]color = '无'if len(data) == 2:if '色' in data[0]:color = data[0]size = data[1]else:size = data[0]if '色' in data[1]:color = data[1]else:color = '无'if ',' in color:color = color.replace(',',';')if ',' in size:size = size.replace(',',';')if '"' in size:size = size.replace('"','')return [color,size]async def get_data(url):global gQueueglobal dict_scoreglobal countglobal url_res_dictcount += 1try:#with httpx.Client() as client:async with asyncio.Semaphore(500):async with httpx.AsyncClient() as client:res = await client.get(url,headers=headers,timeout=20)url_res_dict[res] = urlgQueue.put(res)except Exception as e:print('超时数据自动跳过.')'''async with asyncio.Semaphore(10):async with aiohttp.ClientSession() as session:#res = await client.get(url,headers=headers,timeout=30)async with session.get(url,headers=headers,timeout=30) as response:res = await response.read()url_res_dict[res] = urlgQueue.put(res)'''
def save_csv():global url_res_dict,dict_scorewhile not gQueue.empty():try: res = gQueue.get()url = url_res_dict[res]# aiohttp#res = res.decode('UTF-8')#t1 = html.fromstring(res)# httpxres.encoding = 'utf-8't1 = html.fromstring(res.text)name = t1.xpath('//div[@class="product-detail-content-title js-itemId"]/text()')[0].strip()duihuan = t1.xpath('//div[@class="text-color-red text-font-weight-bold"]/text()')[0].strip()score = dict_score[url]#color = t1.xpath('//span[@class="meta-title"]/text()')[0].strip()size_col = t1.xpath('//span[contains(@class,"meta-title")]/text()')#[0].strip()sc = deal_size_color(data=size_col)size = sc[1].strip()color = sc[0].strip()get_style = t1.xpath('//span[@class="exchangeWay"]/text()')[0].strip()categorys = t1.xpath('//a[@class="js-category-select"]/text()')tt = [i.strip() for i in categorys if i.strip()]category = tt[3]gongying = t1.xpath('//div[@class="real-information"]/span/text()')shop = gongying[1]shop_call = gongying[3]shop_time = gongying[5]content = str(name) + ',' + str(score) + ',' + str(color) + ',' + str(size) + ',' + str(get_style) + ',' + str(category) + ',' + str(duihuan) + ',' \+ str(shop) + ',' + str(shop_call) + ',' + str(shop_time) + ',' + str(url) + '\n'local_time = time.localtime(time.time())today = time.strftime("%Y-%m-%d",local_time)today_time = time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(time.time()))#print(content)if content == None:returnfile_name = 'work-' + today + '.csv'with open(file_name, 'a', encoding='gbk') as file:file.write(content)except Exception as e:print(e)def csv_excel():print("开始转换成excel数据")try:times = time.time()local_time = time.localtime(times)today = time.strftime("%Y-%m-%d",local_time)xlsFilepath = 'work-' + today + '.xlsx'csv_path = 'work-' + today + '.csv'my_dataframe = pd.read_csv(csv_path, low_memory=False, encoding='gbk')#print(my_dataframe['兑换积分'].sort_values())if not len(my_dataframe):print("not data")return -1my_dataframe = my_dataframe.sort_values(by='兑换积分')writer = pd.ExcelWriter(xlsFilepath, engine='xlsxwriter')#写excel文件使用pandas to_excelmy_dataframe.to_excel(writer, startrow = 1, sheet_name='Sheet1', index=False)workbook = writer.bookworksheet = writer.sheets['Sheet1']#遍历每一列并设置width ==该列的最大长度。填充长度也增加了2。for i, col in enumerate(my_dataframe.columns):# 求列I的长度column_len = my_dataframe[col].astype(str).str.len().max()# 如果列标题较大，则设置长度# 大于最大列值长度column_len = max(column_len, len(col)) + 2# 设置列的长度worksheet.set_column(i, i, column_len)writer.save()print("转换成excel表格成功。")#return 0except Exception as e:print('转换成excel表格失败，原因 is%s' % e)return -1else:times = time.time()local_time = time.localtime(times)today = time.strftime("%Y-%m-%d",local_time)path = 'work-' + today + '.csv'if os.path.exists(path):os.remove(path)return 0def get_tasks():#a = input("请输入总页数")try:pages = func_timeout(15, lambda: input('请输入需要的数据总页数，默认每页20条数据（要输入整数哦）:'))mail = func_timeout(15, lambda: input('是否发送邮件，请输入"yes" or "no":'))except FunctionTimedOut:pages = 10mail = 'no'print('输入超时，默认获取10页数据，不发邮件哦')print("开始获取数据了哦，默认按照兑换积分升序排序。")global count#pages = 15count = 0title = '商品名,兑换积分,商品规格,商品颜色,购买方式,分类,兑换,供货商名,供货商电话,供货商工作时间,商品链接\n'times = time.time()local_time = time.localtime(times)today1 = time.strftime("%Y-%m-%d",local_time)today_time = time.strftime("%Y-%m-%d %H:%M:%S",local_time)file_name = 'work-' + today1 + '.csv'with open(file_name, 'w', encoding='gbk') as file:file.write(title)pages = int(pages)urls_all = []for page in range(1,pages + 1):print('正在获取第%s页商品...' %page)time.sleep(0.5)urls_all.extend(get_urls(page))print("所有商品URL: %s" % len(urls_all))return (urls_all,mail)if __name__ == '__main__':result = get_tasks()if len(result[0]) > 500:a,b = len(result[0]),500#由于windows最大并发数509,此处分割最大请求为500res = lambda a,b:[(i*b,i*b+b) for i in range(0,int(a/b))]L1 = res(a,b)L1.append((L1[-1][-1],a))print(f"{L1}--由于数据条数为：{len(result[0])}条，需要分{len(L1)}次运行")start = time.time()loop = asyncio.get_event_loop()print("开始进行并发请求中...")# 判断是否需要多次使用loop处理并发if len(result[0]) > 500:for i in L1:tasks=[loop.create_task(get_data(i))for i in result[0][i[0]:i[1]]]loop.run_until_complete(asyncio.wait(tasks))else:tasks=[loop.create_task(get_data(i))for i in result[0]]loop.run_until_complete(asyncio.wait(tasks))loop.close()save_csv()end = time.time()print(f"执行完成，共耗时: {end - start}秒")csv_excel()if result[1] == 'yes' or result[1] == 'y':send_mail()print("邮件发送成功。")else:print("用户取消发送邮件邮件。")python爬虫小测试相关推荐
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