python註冊大量用戶,python多用戶登錄

本文目錄一覽：

1、python怎麼在Linux實現創建用戶？
2、python設計函數,實現會員註冊,要求用戶名長度不小於3,密碼長度不小於6, 註冊時兩次輸入密碼必須相同
3、python註冊程序編寫？
4、python批量註冊賬號數據庫會崩潰嗎
5、python怎麼爬取簡書用戶名

python怎麼在Linux實現創建用戶？

題主你好,

我以創建user1-user10個用戶為例, 代碼為測試截圖如下:

1. 系統中不存在user1-user10:

執行腳本:

可以看到腳本執行後, 顯示成功添加用戶數10個, 失敗0個.並且/etc/shadow中相應的用戶信息也有了.

————-

我們刪掉user0, user1和user2:

可以看到/etc/shadow中的信息已經沒有了user0-user2的信息了,此時我們再執行上面的腳本:

可以看到輸出顯示, 成功創建3個,就是我們之前刪掉的那三個. 還有7個創建失敗的, 因為用戶本身就存在所以創建失敗了.

希望可以幫到題主, 歡迎追問.

python設計函數,實現會員註冊,要求用戶名長度不小於3,密碼長度不小於6, 註冊時兩次輸入密碼必須相同

def log_in():

username=input(“輸入用戶名(不小於3位)”)

if len(username)=3:

password=input(“密碼(不小於六位)”)

if len(password)=6:

pass_1=input(“再次輸入密碼”)

if password==pass_1:

print(“註冊成功”)

else:

print(“兩次輸入密碼不一致”)

log_in()

else:

print(“密碼長度不符合要求”)

log_in()

else:

print(“帳號長度不符合要求”)

log_in()

python註冊程序編寫？

import

username_pattern

re.compile(r’_.{2,29}’)

password_pattern

re.compile(r'(?=.*_)(?=.*\d)(?=.*[A-Za-z]).{6,18}’)

然後用相應的pattern，去match用戶輸入的字符串即可。

python批量註冊賬號數據庫會崩潰嗎

不會的，一般不會同時運行太多賬號，數據庫可支撐力是很大的，不用擔心這個問題，要批量註冊所需要用的代碼如下：

# -*- coding:utf-8 -*-

import random,urllib,urllib2

import re,time

x=input(“請輸入需要註冊的數量:”)

# x=raw_input() #轉換成字符串的

def h(i,y):

user=str(random.randrange(10000000,99999999))

QQ=str(random.randrange(10001,999999999999))

pwd=str(random.randrange(100000,99999999))

url=””

data={“username”:user,

“password”:pwd,

“repassword”:pwd,

“email”:QQ+”@qq.com”,

“qq”:QQ,

“sex”:”0″,

“action”:”newuser”,

“submit”:””}

data=urllib.urlencode(data)

req=urllib2.Request(url,data=data)

print data

# html=urllib2.urlopen(req).read()

# print(html)

html=urllib2.urlopen(req).read().decode(‘gbk’)

# print(type(html))

reg=u’您已成功註冊成為本站用戶’

reg=re.compile(reg)

r=re.findall(reg,html)

if r!=[]:

print(“註冊成功，賬號為%s，密碼為%s，目前註冊到第%s,還剩%s個”%(user,pwd,i+1,y-i-1))

f=open(“c:\user.txt”,”a”)

f.write(“%s—-%s—-%s@qq.com—-%s\n” %(user,pwd,QQ,QQ))

# f.write(“qq—-123456”)

f.close()

for i in range(x):

h(i,x)

# 延時

time.sleep(2)

python怎麼爬取簡書用戶名

初步的思路

今天在用Scrapy寫代碼的時候，對網頁的結構也有了大致的分析，再加上之前羅羅攀的思路，初步我是通過專題入口

熱門專題

image.png

專題管理員（一般粉絲、文章、字數、收穫喜歡、這幾項數據都非常漂亮）

image.png

以上紅框里的數據項就是我需要爬取的字段

但是以上的思路存在一點的問題：

存在一些簡書用戶並不是一些熱門專題的管理員，但是其人氣粉絲量也很高，這個思路可能無法將這些用戶爬取下來

進階的思路

熱門專題

專題關注的人

專題關注的人的動態

推薦作者粉絲信息

image.png

優點：

數據大而全，基本包含了99%的用戶（個人猜測，不嚴謹）

缺點：

因為許多用戶不止關注一個專題，而且其中包含了大量的新註冊用戶（數據很多為空），並且也有大量重複數據需要去重

代碼部分:

jianshu.py 還在調試階段，待更新…

# -*- coding: utf-8 -*-

import sys

import json

import requests

import scrapy

import re

from lxml import etree

from scrapy.http import Request

reload(sys)

sys.path.append(‘..’)

sys.setdefaultencoding(‘utf-8’)

class jianshu(scrapy.Spider):

name = ‘jianshu’

# topic_category = [‘city’]

topic_category = [‘recommend’, ‘hot’, ‘city’]

base_url = ‘lections?page=%sorder_by=%s’

cookies={

‘UM_distinctid’: ’15b89d53a930-02ab95f11ccae2-51462d15-1aeaa0-15b89d53a9489b’,

‘CNZZDATA1258679142’: ‘1544557204-1492664886-%7C1493280769’,

‘_session_id’: ‘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%3D%3D–0849c37208f8c573960d857029c7d6a15145c419’,

‘remember_user_token’:’W1szNDgxMjU3XSwiJDJhJDEwJDlSS3VLcFFWMlZzNFJuOFFNS1JQR3UiLCIxNDk0MjEzNDQ3LjYwODEwNzgiXQ%3D%3D–9241542a4e44d55acaf8736a1d57dd0e96ad4e7a’,

‘_ga’: ‘GA1.2.2016948485.1492666105’,

‘_gid’: ‘GA1.2.382495.1494550475’,

‘Hm_lpvt_0c0e9d9b1e7d617b3e6842e85b9fb068’: ‘1494550475’,

‘Hm_lvt_0c0e9d9b1e7d617b3e6842e85b9fb068’: ‘1494213432,1494213612,1494321303,1494387194’

}

headers = {

‘Accept-Encoding’: ‘gzip, deflate, sdch’,

‘Accept – Language’: ‘zh – CN, zh;q = 0.8’,

‘Connection’: ‘close’,

‘Cookie’: ‘UM_distinctid=15b89d53a930-02ab95f11ccae2-51462d15-1aeaa0-15b89d53a9489b; CNZZDATA1258679142=1544557204-1492664886-%7C1493280769; remember_user_token=W1szNDgxMjU3XSwiJDJhJDEwJDlSS3VLcFFWMlZzNFJuOFFNS1JQR3UiLCIxNDk0MjEzNDQ3LjYwODEwNzgiXQ%3D%3D–9241542a4e44d55acaf8736a1d57dd0e96ad4e7a; _ga=GA1.2.2016948485.1492666105; _gid=GA1.2.824702661.1494486429; _gat=1; Hm_lvt_0c0e9d9b1e7d617b3e6842e85b9fb068=1494213432,1494213612,1494321303,1494387194; Hm_lpvt_0c0e9d9b1e7d617b3e6842e85b9fb068=1494486429; _session_id=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%3D%3D–ea401e8c501e7b749d593e1627dbaa88ab4befc2’,

‘User-Agent’: ‘Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.81 Safari/537.36’,

‘Host’:”,

“X-Requested-With”: ‘XMLHttpRequest’

}

def get_total_page(self):

#獲取專題總頁數包含3個字典的列表 [{“hot”: xx}, {“recommend”:xx}, {“city”: xx}]

total_page_list = []

for order in self.topic_category:

order = order.decode(‘utf-8’)

total_page = 100

dict = {}

for page in range(1, total_page):

url = self.base_url % (page, order)

html = requests.get(url, headers=self.headers).content

selector = etree.HTML(html)

#print html

try:

elements = selector.xpath(‘//*[@id=”list-container”]/div[1]/div/h4/a/text()’)[0]

if elements is not Exception:

continue

except Exception :

dict[‘total_page’] = page – 1

dict[‘category’] = order

break

total_page_list.append(dict)

return total_page_list

def get_topic_info(self):

#獲取專題信息

topic_info_list = []

total_page_list = self.get_total_page()

base_url = self.base_url

for dict in total_page_list:

category = dict[‘category’]

total_page = int(dict[‘total_page’])

for page in range(1, total_page + 1):

url = base_url % (page, category)

html = requests.get(url, headers=self.headers,cookies=self.cookies).content

selector = etree.HTML(html)

topic_href = selector.xpath(‘//*[@id=”list-container”]’)[0]

for href in topic_href:

dict = {}

topic_name = href.xpath(‘./div/h4/a/text()’)[0]

topic_url = “” + href.xpath(‘./div/h4/a/@href’)[0]

topic_img_url = href.xpath(‘./div/a/img/@src’)[0]

img_num = topic_img_url.split(“/”)[5]

dict[‘topic_name’] = topic_name

dict[‘topic_url’] = topic_url

dict[‘img_num’] = img_num

topic_info_list.append(dict)

return topic_info_list

def get_topic_admin_info(self):

#獲取管理員信息

topic_admin_info_list = []

topic_info_list = self.get_topic_info()

for d in topic_info_list:

img_num = str(d[‘img_num’])

base_url = “s/editors_and_subscribers” % img_num

base_url_response = requests.get(base_url, headers=self.headers, cookies=self.cookies)

json_data_base = json.loads(base_url_response.text.decode(‘utf-8’))

editors_total_pages = json_data_base[‘editors_total_pages’]

for page in range(1, int(editors_total_pages) + 1):

if page == 1:

editors = json_data_base[‘editors’]

for editor in editors:

dict = {}

dict[‘nickname’] = editor[‘nickname’]

dict[‘slug’] = editor[‘slug’]

topic_admin_info_list.append(dict)

else:

try:

url = “}/editors?page={}”.format(img_num, page)

response = requests.get(url,headers=self.headers,cookies=self.cookies)

json_data = json.loads(response.text.decode(‘utf-8’))

editors = json_data[‘editors’]

for editor in editors:

dict = {}

dict[‘nickname’] = editor[‘nickname’]

dict[‘slug’] = editor[‘slug’]

topic_admin_info_list.append(dict)

except Exception:

pass

return topic_admin_info_list

def get_followers_following_list(self):

# 獲取管理員粉絲列表

followers_list = []

topic_admin_list = self.get_topic_admin_info()

followers_base_url = “s/%s/followers”

for dict in topic_admin_list:

url = followers_base_url % dict[‘slug’]

headers = self.headers

headers[‘Referer’] = url

headers[‘DNT’] = ‘1’

response = requests.get(url, headers=headers, cookies=self.cookies).content

total_followers = re.fi

原創文章，作者：小藍，如若轉載，請註明出處：https://www.506064.com/zh-hk/n/291028.html

python註冊大量用戶,python多用戶登錄

本文目錄一覽：

python怎麼在Linux實現創建用戶？

python設計函數,實現會員註冊,要求用戶名長度不小於3,密碼長度不小於6, 註冊時兩次輸入密碼必須相同

python註冊程序編寫？

python批量註冊賬號 數據庫會崩潰嗎

python怎麼爬取簡書用戶名

相關推薦

發表回復

python批量註冊賬號數據庫會崩潰嗎