def __init__(self):
self.UA = UserAgent()
def __init__(self,crawler):
super(RandomUserAgentMiddlware,self).__init__()
self.ua = UserAgent()
from random import shuffle
from fake_useragent import UserAgent
import linecache
from threading import Thread
channel_url = ""
proxies_file = "Proxies_txt/good_proxy.txt"
processes = []
max_nb_of_threads = 1000
all_proxies = []
nb_of_proxies = 0
# Session creating for request
ua = UserAgent()
session = Livestreamer()
session.set_option("http-headers", {
'User-Agent': ua.random,
"Client-ID": "ewvlchtxgqq88ru9gmfp1gmyt6h2b93"
})
def print_exception():
exc_type, exc_obj, tb = sys.exc_info()
f = tb.tb_frame
lineno = tb.tb_lineno
filename = f.f_code.co_filename
linecache.checkcache(filename)
line = linecache.getline(filename, lineno, f.f_globals)
print('EXCEPTION IN ({}, LINE {} "{}"): {}'.format(filename, lineno,
else:
proxies = re.findall(
re.compile('<td>([\d.]+)</td>'),
str(requests.get('https://www.sslproxies.org/').content))
proxies = [
'%s:%s' % x for x in list(zip(proxies[0::2], proxies[1::2]))
]
print('%d proxies successfully loaded!' % len(proxies))
proxy = Proxy()
proxy.proxy_type = ProxyType.MANUAL
if args.user_agent:
if path.isfile(args.user_agent):
user_agents = list(
filter(None,
open(args.user_agent, 'r').read().split('\n')))
else:
user_agents = [args.user_agent]
else:
user_agents = UserAgent()
for i in range(args.threads):
t = Thread(target=bot, args=(i, args.url))
t.daemon = True
t.start()
sleep(uniform(2.0, 4.0))
stdin.read(1)
exit(0)
except KeyboardInterrupt:
exit(0)
except:
exit(1)
def get_header():
ua = UserAgent(verify_ssl=False)
return {'User-Agent': ua.random}
if args.proxies:
proxies = open(args.proxies, 'r').read().split('\n')
else:
proxies = re.findall(
re.compile('<td>([\d.]+)</td>'),
str(requests.get('https://free-proxy-list.net/').content))
proxies = [
'%s:%s' % x for x in list(zip(proxies[0::2], proxies[1::2]))
]
print('%d proxies successfully loaded!' % len(proxies))
proxy = Proxy()
proxy.proxy_type = ProxyType.MANUAL
if args.user_agents:
user_agents = open(args.user_agents, 'r').read().split('\n')
else:
agent = UserAgent()
if args.driver == 'chrome':
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument('--mute-audio')
else:
firefox_profile = webdriver.FirefoxProfile()
firefox_profile.set_preference('media.volum_scale', '0.0')
for i in range(args.threads):
t = Thread(target=bot, args=(args.url, ))
t.deamon = True
t.start()
sleep(uniform(2.0, 4.0))
except KeyboardInterrupt:
_exit(0)
except Exception:
print_exc()
def get_df(self):
print('get data from services...')
sfb_df = pd.read_csv(self.path_sfb, sep=';', index_col='id')
serv_df = sfb_df[sfb_df['type'] == 'services']
list_url = serv_df['URL'].values
final_df = pd.DataFrame(columns=[
'date', 'type', 'category_id', 'category_title', 'site_title',
'price_new', 'price_old', 'site_unit', 'site_link', 'site_code'
])
#mgts
n = 0
url = list_url[n]
print(url)
html = requests.get(url, headers={
'User-Agent': UserAgent().chrome
}).content #, headers={'User-Agent': UserAgent().chrome}
soup = BeautifulSoup(html, 'lxml')
price_list = soup.findAll('div',
{'class': 'slider_slide'}) #0 заменить
for price_elem in price_list:
if price_elem.findAll('div',
{'class': 'texts'})[0].text == 'Безлимитный':
price_dict = dict()
price_dict['date'] = Global().date
price_dict['site_code'] = 'services'
id_n = int(serv_df[serv_df['URL'].str.contains(url)].index[0])
price_dict['category_id'] = id_n
price_dict['category_title'] = serv_df['cat_title'].loc[
price_dict['category_id']]
price_dict['type'] = 'services'
price_dict['site_title'] = price_elem.findAll(
'div', {'class': 'texts'})[0].text
price_dict['price_new'] = int(
price_elem.findAll('div',
{'class': 'slider_price_val'})[0].text)
price_dict['price_old'] = ''
price_dict['site_unit'] = price_elem.findAll(
'div', {'class': 'slider_price_rub1'
})[0].text + '/' + price_elem.findAll(
'div', {'class': 'slider_price_rub2'})[0].text
price_dict['site_link'] = url
final_df = final_df.append(price_dict, ignore_index=True)
break
#Помывка в бане в общем отделении, билет http://legkiipar.ru/menraz.html
try:
n = 1
url = list_url[n]
print(url)
html = requests.get(
url).content #, headers={'User-Agent': UserAgent().chrome}
soup = BeautifulSoup(html, 'lxml') #Будние дни с 08:00 до 22:00
pattern = re.compile(r'Будние дни')
price_dict = dict()
price_dict['date'] = Global().date
price_dict['site_code'] = 'services'
price_dict['type'] = 'services'
price_dict['site_title'] = soup(text=pattern)[0]
price_1 = soup.findAll('span', {'class': 'стиль6'})
price_dict['price_new'] = re.findall('\d+', price_1[1].text)[0]
price_dict['price_old'] = ''
price_dict['site_unit'] = re.findall('\d+ часа',
price_1[4].text[:-1])[0]
price_dict['category_id'] = int(
serv_df[serv_df['URL'].str.contains(url)].index[0])
price_dict['category_title'] = serv_df['cat_title'].loc[
price_dict['category_id']].values[0]
price_dict['site_link'] = url
final_df = final_df.append(price_dict, ignore_index=True)
except:
print('DAMN! {} can not be parsed'.format(url))
#Помывка в бане в общем отделении, билет http://banya-lefortovo.ru/price.html
n = 2
price_dict = dict()
price_dict['date'] = Global().date
price_dict['site_code'] = 'services'
url = list_url[n]
print(url)
html = requests.get(
url).content #, headers={'User-Agent': UserAgent().chrome}
soup = BeautifulSoup(html, 'lxml')
pattern = re.compile(r'Русская общая баня')
price_dict['site_title'] = soup(text=pattern)[0]
price_dict['category_id'] = int(
serv_df[serv_df['URL'].str.contains(url)].index[0])
price_dict['category_title'] = serv_df.loc[
price_dict['category_id']]['cat_title'].values[0]
price_dict['type'] = 'services'
price_dict['price_new'] = int(
re.findall('\d+',
re.findall('\d+ рублей',
soup(text=pattern)[0])[0])[0])
price_dict['price_old'] = ''
price_dict['site_unit'] = re.findall('\d+ часа',
soup(text=pattern)[0])[0]
price_dict['site_link'] = url
final_df = final_df.append(price_dict, ignore_index=True)
#Помывка в бане в общем отделении, билет https://rzhevskie-bani.ru/rb/bani.html
n = 3
price_dict = dict()
url = list_url[n]
print(url)
html = requests.get(
url).content #, headers={'User-Agent': UserAgent().chrome}
soup = BeautifulSoup(html, 'lxml')
price_dict['price_new'] = int(
re.findall('\d+',
soup.findAll('td', {'class': 'price'})[0].text)[0])
pattern = re.compile(r'Стоимость')
soup.findAll('td')
price_dict['date'] = Global().date
price_dict['site_code'] = 'services'
price_dict['category_id'] = int(
serv_df[serv_df['URL'].str.contains(url)].index[0])
price_dict['category_title'] = serv_df.loc[
price_dict['category_id']]['cat_title'].values[0]
price_dict['site_title'] = soup(text=pattern)[0]
price_dict['type'] = 'services'
price_dict['site_unit'] = re.findall('(\d+.*\d часа)',
soup(text=pattern)[0][-9:])[0]
price_dict['site_link'] = url
final_df = final_df.append(price_dict, ignore_index=True)
#Помывка в бане в общем отделении, билет http://vorontsovskie-bani.ru/obshchestvennye-bani/muzhskoj-zal-pervyj-razryad
n = 4
price_dict = dict()
price_dict['date'] = Global().date
price_dict['site_code'] = 'services'
url = list_url[n]
print(url)
price_dict['category_id'] = int(
serv_df[serv_df['URL'].str.contains(url)].index[0])
try:
html = requests.get(url,
headers={
'User-Agent': UserAgent().chrome
},
timeout=10).content
except:
proxy = get_proxy(url)
html = requests.get(url,
headers={
'User-Agent': UserAgent().chrome
},
proxies=proxy).content
soup = BeautifulSoup(html, 'lxml')
price_div = soup.findAll('div', {'class': 'price-head'})[0]
price_dict['price_new'] = int(
re.findall('\d+',
price_div.findAll('span',
{'class': 'price'})[0].text)[0])
price_dict['price_old'] = ''
price_dict['site_title'] = price_div.find('p').text.replace(
'\xa0', ' ')
price_dict['site_unit'] = re.findall('\d+ часа',
price_dict['site_title'])[0]
price_dict['type'] = 'services'
price_dict['site_link'] = url
price_dict['category_title'] = serv_df.loc[
price_dict['category_id']]['cat_title'].values[0]
final_df = final_df.append(price_dict, ignore_index=True)
#Постановка набоек, пара https://masterskaya-obuvi.ru/tseny
'''
n=5
price_dict=dict()
price_dict['date']=Global().date
price_dict['site_code']='services'
url=list_url[n]
print(url)
html=requests.get(url).content#, headers={'User-Agent': UserAgent().chrome}
soup=BeautifulSoup(html, 'lxml')
price_dict['category_id']=int(serv_df[serv_df['URL'].str.contains(url)].index[0])
price_dict['category_title'] = serv_df.loc[price_dict['category_id']]['cat_title'].values[0]
for elem in soup.findAll('tr'):
if re.findall('износоустойчивой резины',elem.text)!=[]:
price_div=elem
price_dict['site_title']=re.findall('[А-Яа-яёз(). ]+',elem.text)[0]
price_dict['site_unit']=re.findall('[А-Яа-яёз(). ]+',elem.text)[1]
price_dict['price_new']=int(price_div.findAll('td',{'width':"356"})[0].text)
price_dict['price_old'] = ''
price_dict['type'] = 'services'
price_dict['site_link']=url
break
final_df=final_df.append(price_dict,ignore_index=True)
'''
#Постановка набоек, пара https://masterskaya-obuvi.ru/tseny
n = 6
price_dict = dict()
price_dict['date'] = Global().date
price_dict['site_code'] = 'services'
url = list_url[n]
print(url)
html = requests.get(
url).content #, headers={'User-Agent': UserAgent().chrome}
soup = BeautifulSoup(html, 'lxml')
price_dict['category_id'] = int(
serv_df[serv_df['URL'].str.contains(url)].index[0])
price_dict['category_title'] = serv_df.loc[
price_dict['category_id']]['cat_title'].values[0]
for elem in soup.findAll('tr'):
if re.findall('эконом', elem.text) != []:
price_div = elem
price_dict['site_title'] = self.wspex_space(
re.findall(
'[А-Яа-яёз(). ]+',
price_div.findAll('td', {'align': 'left'})[0].text)[0])
price_text = price_div.findAll('strong')[0].text
price_dict['price_new'] = int(re.findall('\d+', price_text)[0])
price_dict['price_old'] = ''
price_dict['type'] = 'services'
price_dict['site_unit'] = re.findall(
'\([А-Яа-я]*\)', price_dict['site_title'])[0][1:-1]
price_dict['site_link'] = url
break
final_df = final_df.append(price_dict, ignore_index=True)
#Билет на 1 поездку - мосгортранс
n = 7
price_dict = dict()
price_dict['site_code'] = 'services'
price_dict['date'] = Global().date
url = list_url[n]
print(url)
html = requests.get(
url).content #, headers={'User-Agent': UserAgent().chrome}
soup = BeautifulSoup(html, 'lxml')
#soup.findAll('td')#,{'class':'text-center'})[0]
price_dict['category_id'] = int(
serv_df[serv_df['URL'].str.contains(url)].index[0])
price_dict['category_title'] = serv_df.loc[
price_dict['category_id']]['cat_title']
for elem in soup.findAll('td'):
if re.findall('не более', elem.text) != []:
price_div = elem
site_title = price_div.text
break
for elem in soup.findAll('tr'):
if re.findall('не более', elem.text) != []:
price_div = elem
price_dict['site_title'] = price_div.find('td').text
price_dict['price_new'] = int(
re.findall('\d{2,3}', price_div.text)[0])
price_dict['price_old'] = ''
price_dict['type'] = 'services'
price_dict['site_unit'] = 'поездка'
price_dict['site_link'] = url
break
final_df = final_df.append(price_dict, ignore_index=True)
# # стрижка
try:
n = 8
price_dict = dict()
price_dict['site_code'] = 'services'
price_dict['date'] = Global().date
url = list_url[n]
print(url)
html = requests.get(
url).content # , headers={'User-Agent': UserAgent().chrome}
soup = BeautifulSoup(html, 'lxml')
# soup.findAll('td')#,{'class':'text-center'})[0]
for elem in soup.findAll('tr'):
if re.findall('(любой длины)', elem.text) != []:
price_dict['category_id'] = int(
serv_df[serv_df['URL'].str.contains(url)].index[-1])
price_dict['category_title'] = serv_df.loc[
price_dict['category_id']]['cat_title'].values[0]
price_text = elem.text
price_dict['site_title'] = re.findall(
'[А-Яа-я ()]+', price_text)[0]
price_dict['price_new'] = re.findall('\d+', price_text)[0]
price_dict['price_old'] = ''
price_dict['type'] = 'services'
price_dict['site_unit'] = 'стрижка'
price_dict['site_link'] = url
break
final_df = final_df.append(price_dict, ignore_index=True)
except:
print('DAMN! {} can not be parsed'.format(url))
#стрижка
try:
n = 9
price_dict = dict()
price_dict['site_code'] = 'services'
price_dict['date'] = Global().date
url = list_url[n]
print(url)
html = requests.get(
url).content #, headers={'User-Agent': UserAgent().chrome}
soup = BeautifulSoup(html, 'lxml')
for elem in soup.findAll('tr'):
if re.findall('Женская', elem.text) != []:
price_div = elem
price_dict['category_id'] = int(
serv_df[serv_df['URL'].str.contains(url)].index[0])
price_dict['category_title'] = serv_df.loc[
price_dict['category_id']]['cat_title'].values[0]
price_dict['site_title'] = price_div.find(
'td', {
'class': 'services-table__name'
}).text
price_dict['price_new'] = int(
self.wspex(
price_div.find(
'td', {
'class':
'services-table__price services-table__price-small'
}).text))
price_dict['price_old'] = ''
price_dict['type'] = 'services'
price_dict['site_unit'] = 'стрижка'
price_dict['site_link'] = url
break
final_df = final_df.append(price_dict, ignore_index=True)
except:
print('DAMN! {} can not be parsed'.format(url))
#стрижка
n = 10
price_dict = dict()
price_dict['site_code'] = 'services'
price_dict['date'] = Global().date
url = list_url[n]
print(url)
html = requests.get(
url).content #, headers={'User-Agent': UserAgent().chrome}
soup = BeautifulSoup(html, 'lxml')
for elem in soup.findAll('tr'):
if re.findall('лопаток', elem.text) != []:
price_div = elem
price_dict['category_id'] = int(
serv_df[serv_df['URL'].str.contains(list_url[n -
1])].index[0])
price_dict['category_title'] = serv_df.loc[
price_dict['category_id']]['cat_title'].values[0]
price_dict['site_title'] = price_div.find(
'td', {
'height': '17'
}).text
price_dict['price_new'] = int(
self.wspex(price_div.find('td', {
'width': '157'
}).text))
price_dict['price_old'] = ''
price_dict['type'] = 'services'
price_dict['site_unit'] = 'стрижка'
price_dict['site_link'] = url
break
final_df = final_df.append(price_dict, ignore_index=True)
#Билет на 1 поездку - мосгортранс
n = 11
price_dict = dict()
price_dict['site_code'] = 'services'
price_dict['date'] = Global().date
url = list_url[n]
print(url)
html = requests.get(
url).content #, headers={'User-Agent': UserAgent().chrome}
soup = BeautifulSoup(html, 'lxml')
for elem in soup.findAll('tr'):
if re.findall('не более', elem.text) != []:
price_div = elem
price_dict['category_id'] = int(
serv_df[serv_df['URL'].str.contains(url)].index[-1])
price_dict['category_title'] = serv_df.loc[
price_dict['category_id']]['cat_title']
price_dict['site_title'] = price_div.find('td').text
price_dict['price_new'] = int(
re.findall('\d{2,3}', price_div.text)[0])
price_dict['price_old'] = ''
price_dict['type'] = 'services'
price_dict['site_unit'] = 'поездка'
price_dict['site_link'] = url
break
final_df = final_df.append(price_dict, ignore_index=True)
final_df = final_df[final_df.site_title.notna()]
print('ALL SERVICES HAVE BEEN SUCCESSFULLY PARSED!')
return final_df
def __init__(self):
self.proxy = None
self.ua = UserAgent()
self.headers = self.get_header()
def create_useragent(self):
while True:
try:
return UserAgent().random
except:
pass
# -*- coding: utf-8 -*-
"""
requests_shimo.py
使用requests去模拟登录石墨文档
"""
import requests
from fake_useragent import UserAgent
ua = UserAgent(verify_ssl=False, use_cache_server=False)
headers = {
'User-Agent': ua.random,
'Referer': 'https://shimo.im/login?from=home',
'origin': 'https://shimo.im',
'pragma': 'no-cache',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'x-requested-with': 'XmlHttpRequest',
'x-source': 'lizard-desktop',
}
s = requests.Session()
login_url = 'https://shimo.im/lizard-api/auth/password/login'
form_data = {
# 脱敏
'email': 'xxx',
'mobile': '+86undefined',
'password': '******'
def __init__(self, crawler):
self.ua = UserAgent()
self.ua_type = crawler.settings.get('USER_AGENT_TYPE','random')
pass
# -*- coding:utf-8 -*-
import pandas as pd
import numpy as np
import requests
from fake_useragent import UserAgent
from bs4 import BeautifulSoup
from pprint import pprint
from typing import List
import csv
import re
from time import sleep
from tqdm import tqdm
from multiprocessing.dummy import Pool
Use_Agent = UserAgent()
def woaiwojia_spyder(page: int) -> List[list]:
'''
爬取我爱我家二手房的数据
:param page: (int) 页面数据
:return: (list) 二手房的数据
'''
info_list = []
url = 'https://bj.5i5j.com/ershoufang/n{}/'.format(page)
headers = {'User-Agent': Use_Agent.random}
html = requests.get(url, headers=headers).text
soup = BeautifulSoup(html, 'html5lib')
# pprint(soup)
# 方便用正则表达式读取
all_house_information = [
from fake_useragent import UserAgent ua = UserAgent(verify_ssl=False) # 模拟不同的浏览器 print(ua.chrome) print(ua.safari) # 随机返回头部信息 print(ua.random)
import requests
import re
from fake_useragent import UserAgent
import parsel
import mysql_inport_data
import pipline
url = 'http://www.hnzzj.com/'
headers = {'UserAgent': UserAgent().chrome}
response = requests.get(url, headers).text
print(response)
print('----------------------------------------------------------')
#解析
html = parsel.Selector(response)
print(html)
# srcs=html.xpath('//div[@class="container clearfix"]//div//ul//li//a/@href').getall()
# print(srcs)
titles = html.xpath(
'//div[@class="container clearfix"]//div//ul//li//a/text()').getall()
print(titles)
print(
'--------------------------------------------------------------------------'
)
hrefs = html.xpath('//div[@class="main pagebox"]//@href').getall()
print(hrefs)
# for href in hrefs:
# print(href)
furl = 'http://www.hnzzj.com/'
def change_web_scraping_info(self):
print('Changing user-agent and the proxy...')
ua = UserAgent()
self.user_agent = str(ua.random)
def run(self):
try:
ua = UserAgent()
header = {'User-Agent': str(ua.chrome)}
profileDirName = self.data[0]
photoName = self.data[1].split('+')[-1]
filePath = Path(downloadDir + profileDirName + "/" + photoName)
if filePath.is_file():
newConn = sqlite3.connect(dbDir, timeout=15)
nCur = newConn.cursor()
print(' already downloaded --> ',
downloadDir + profileDirName + "/" + photoName)
Q = 'update zimbo_fine_image_links set is_done =1 where link="' + self.data[
1] + '"'
nCur.execute(Q)
newConn.commit()
newConn.close()
return
createDirOnce(downloadDir, profileDirName)
url = self.data[1]
print(url)
# htmlContent = requests.get(url, headers=header)
# regex = '<textarea id=\"share_link1\" onclick=\"this.select\(\)\;\" style=\'.*\' wrap="on" rows=".*" cols=".*"><img src="(.*?)" alt=\".*\"><br><a href=\".*\" target=\"_blank">.*<\/a>'
# # another regex needed for pictures link.
# photoLink = re.findall(regex, htmlContent.content.decode('latin-1'))
# # print(photoLink)
# if not len(photoLink):
# picRegex = '<a href=\".*\"><img width=\".*\" height=\".*\" src=\"(.*)\" alt=\".*\" \/><\/a>'
# photoLink = re.findall(picRegex, htmlContent.content.decode('latin-1'))
# if(len(photoLink)):
# photoLink =photoLink [0]
# else:
# print('--------------------------------------------- image not found--------------------------')
# print(url)
# return
# htmlContent.connection.close()
# photoName = ((photoLink.split('/').pop() ).split('full-').pop() ).replace('.' , '__'+self.photoId+'.')
# userName = ((photoLink.split('/').pop() ).split('full-').pop()).split('.')[0]
# print( photoName)
hackHeaders = ['User-Agent:' + str(ua.chrome) + '']
print(downloadDir + profileDirName + "/" + photoName, url)
fp = open(downloadDir + profileDirName + "/" + photoName, "wb")
curl = pycurl.Curl()
curl.setopt(pycurl.URL, url)
curl.setopt(pycurl.WRITEDATA, fp)
curl.setopt(pycurl.HTTPHEADER, hackHeaders)
curl.perform()
curl.close()
fp.close()
# # update db
newConn = sqlite3.connect(dbDir, timeout=15)
nCur = newConn.cursor()
nCur.execute(
'update zimbo_fine_image_links set is_done =1 where link="' +
self.data[1] + '"')
newConn.commit()
newConn.close()
except Exception as e:
print(
"------------------------------------errrr------------------------->>>>>>>>>>>>"
)
print(e, url)
def __init__(self):
self.ua = UserAgent(use_cache_server=False)
def process_request(self, request, spider):
ua_class = UserAgent()
ua = ua_class.random
logger.debug(ua)
if ua:
request.headers.setdefault(b'User-Agent', ua)
import requests
import re
import sys
import time
import os
import argparse
from bs4 import BeautifulSoup
from functools import partial
from multiprocessing import Pool, TimeoutError, cpu_count
from fake_useragent import UserAgent
ua = UserAgent().random
parser = argparse.ArgumentParser(
description='Argument parser for dork-scanner')
parser.add_argument('-S',
'--search',
help='String to be searched for',
default='1')
parser.add_argument('-E',
'--engine',
help='Search engine to be used',
default='google')
parser.add_argument('-P',
'--page',
help='Number of pages to search in',
default='1')
parser.add_argument('-Pr',
'--process',
help='Number of parallel processes',
default='1')
def get_header(self):
ua = UserAgent(path=self.UAfilePath)
return ua.random
def __init__(self):
self.headers = dict()
self.headers['User-Agent'] = UserAgent().random
self.my_session = requests.session()
def parse(self,pass_url):
#解析当前微博下的所有评论用户
first_req=requests.get(pass_url+str(1),cookies=self.new_cookies()).content
if 'not exist' in str(first_req):
return None
html = etree.HTML(first_req)
#获取中断的页面
try:
with open('page_num.txt','r') as f:
broken_page_num=int(f.readlines()[0])+1
except:
broken_page_num=1
#评论总页数
try:
page_num = (html.xpath('//*[@id="pagelist"]/form/div/text()')[1].split('/')[1])[:-1]
except:
#print('[-----]页面请求错误')
return self.parse(pass_url=pass_url)
for page in range(broken_page_num,int(page_num)+1):
print(page)
if page % 5 == 0:
with open('page_num.txt','w') as f:
f.write(str(page))
fi=set()
#保存当前运行状态
cookies=self.new_cookies()
#print('[++++++++]当前cookies:',str(cookies))
try:
req=requests.get(pass_url+str(page),cookies=cookies,headers={"User-Agent":UserAgent().random}).content
html=etree.HTML(req)
fans = html.xpath('//div[@class="c"]/a[contains(@href,"/u/")]/@href')
fans_name=html.xpath('//div[@class="c"]/a[contains(@href,"/u/")]/text()')
except:
while True:
#print('[!!!!!]出现错误，未获取到内容:')
time.sleep(5)
try:
req = requests.get(pass_url + str(page),headers={"User-Agent":UserAgent().random},cookies=cookies).content
html = etree.HTML(req)
fans = html.xpath('//div[@class="c"]/a[contains(@href,"/u/")]/@href')
fans_name = html.xpath('//div[@class="c"]/a[contains(@href,"/u/")]/text()')
break
except:
pass
for i,j in enumerate(fans):
#防止底部返回链接的干扰
if '5644764907' in j:
continue
fans_url='https://weibo.cn/'+j.split('/u/')[1]+'/info'
fans_weibo='https://weibo.cn'+j
m_url="https://m.weibo.cn/api/container/getIndex?containerid=230283{}_-_INFO&title=%E5%9F%BA%E6%9C%AC%E8%B5%84%E6%96%99&luicode=10000011&lfid=230283{}".format(j.split('/u/')[1],j.split('/u/')[1])
name=fans_name[i]
if name in fi:
pass
else:
fi.add(name)
self.db.lpush(fans_url)
self.db1.lpush(fans_weibo)
self.db2.lpush(m_url)
print('[+++][+++][+++]',name)
#在应对限制ip的反爬措施中，效率最高的等待时间
time.sleep(0.35)
#爬完该篇微博的所有评论后
time.sleep(1)
with open('page_num.txt','w') as f:
f.write('0')
def __init__(self, crawler):
super(RandomUserAgentMiddleware, self).__init__()
self.ua = UserAgent()
self.ua_type = crawler.settings.get('RANDOM_UA_TYPE', 'random')
from bs4 import BeautifulSoup
import requests as re
import pandas as pd
from datetime import datetime
import numpy as np
import time
import tqdm
url = "https://www.hltv.org/results?offset="
pd.options.mode.chained_assignment = None # default='warn'
from fake_useragent import UserAgent
ua = UserAgent(cache=False)
def team_matches(team, df):
return df.loc[(df['team1'] == team) |
(df['team2'] == team)].reset_index(drop=True)
class hltv(object):
"""docstring for ClassName"""
def __init__(self, user_agent):
self.user_agent = user_agent
self.dataframe = pd.DataFrame()
def results(self, num):
df = pd.DataFrame(
columns=['team1', 'score1', 'score2', 'team2', 'url', 'date'])
session = re.Session()
session.headers.update({'User-Agent': self.user_agent})
for index_of_page in range(num):
def main():
START = datetime.now()
bad = 'Our systems have detected unusual traffic from your computer network. This page checks to see if it's really you sending the requests, and not a robot.'
parser = argparse.ArgumentParser(description="Get URLS from Bing")
parser.add_argument(
'mot',
nargs="?",
help=
"The phrase you want to look up. Put a '+' between the terms. eg: paris+the+city+of+love",
type=str)
parser.add_argument('-n',
'--number',
default=50,
help="Minimum number of links you want (default=50)",
type=int)
args = parser.parse_args()
nb_links = args.number
if len(sys.argv) <= 1:
parser.print_help()
sys.exit(1)
url_lis, ignored_link, total = [], 0, 0
ua = UserAgent()
header = {'User-Agent': str(ua.random)}
print(colored(header, 'yellow'))
page = requests.get("https://www.bing.com/search?q=" + args.mot.lower(),
headers=header)
soup = BeautifulSoup(page.content, 'html.parser')
out = open("out.txt", 'w')
while len(url_lis) < nb_links:
time.sleep(round(random.uniform(3, 7),
2)) # take it easy, don't get banned...
# we get the h2 links of the search page
h2links = soup.findAll("h2")
good_link = re.findall('<a h="ID=SERP.{7}".href="(http.*?)"',
str(h2links))
for link in good_link:
total += 1
if isValid(link) and link not in url_lis:
out.write(link + '\n')
print(link)
url_lis.append(link)
else:
ignored_link += 1
print(colored('{} links gotten'.format(len(url_lis)), 'red'))
next_url = str(page.content)
if re.findall(bad, str(next_url)):
print(
colored("they're coming after you, run !", 'red', 'on_yellow'))
sys.exit(0)
#we get here the link of the "Next" button
#If you're not searching from francophone areas, you need to change the title of the link eg: Página siguiente, Volgende pagina, Nächste Seite...
next_url = re.findall('title="Page suivante" href="(.*?)"', next_url)
try:
next_url = "https://www.bing.com" + html.unescape(next_url[0])
except IndexError:
print(colored('No more results, sorry', 'yellow'))
sys.exit(0)
print('\n', colored(next_url, 'green'), sep="")
page = requests.get(next_url, headers=header)
soup = BeautifulSoup(page.content, 'html.parser')
out.close()
print('\n\nOutput file : out.txt')
print(
colored('links ignored : ' + str(ignored_link) + ' of ' + str(total),
'blue'))
END = (datetime.now() - START).total_seconds()
print(colored("Done in {} secs".format(round(END, 2)), 'yellow'))
def __init__(self,
login,
password,
like_per_day=1000,
media_max_like=150,
media_min_like=0,
follow_per_day=0,
follow_time=5 * 60 * 60, #Cannot be zero
unfollow_per_day=0,
start_at_h=0,
start_at_m=0,
end_at_h=23,
end_at_m=59,
database_name='follows_db.db',
comment_list=[["this", "the", "your"],
["photo", "picture", "pic", "shot", "snapshot"],
["is", "looks", "feels", "is really"],
["great", "super", "good", "very good", "good",
"wow", "WOW", "cool", "GREAT", "magnificent",
"magical", "very cool", "stylish", "beautiful",
"so beautiful", "so stylish", "so professional",
"lovely", "so lovely", "very lovely", "glorious",
"so glorious", "very glorious", "adorable",
"excellent", "amazing"],
[".", "..", "...", "!", "!!", "!!!"]],
comments_per_day=0,
tag_list=['cat', 'car', 'dog'],
max_like_for_one_tag=5,
unfollow_break_min=15,
unfollow_break_max=30,
log_mod=0,
proxy="",
user_blacklist={},
tag_blacklist=[],
unwanted_username_list=[],
unfollow_whitelist=[]):
self.database_name = database_name
self.follows_db = sqlite3.connect(database_name, timeout=0, isolation_level=None)
self.follows_db_c = self.follows_db.cursor()
check_and_update(self)
fake_ua = UserAgent()
self.user_agent = check_and_insert_user_agent(self, str(fake_ua.random))
self.bot_start = datetime.datetime.now()
self.bot_start_ts = time.time()
self.start_at_h = start_at_h
self.start_at_m = start_at_m
self.end_at_h = end_at_h
self.end_at_m = end_at_m
self.unfollow_break_min = unfollow_break_min
self.unfollow_break_max = unfollow_break_max
self.user_blacklist = user_blacklist
self.tag_blacklist = tag_blacklist
self.unfollow_whitelist = unfollow_whitelist
self.comment_list = comment_list
self.instaloader = instaloader.Instaloader()
self.time_in_day = 24 * 60 * 60
# Like
self.like_per_day = like_per_day
if self.like_per_day != 0:
self.like_delay = self.time_in_day / self.like_per_day
# Follow
self.follow_time = follow_time #Cannot be zero
self.follow_per_day = follow_per_day
if self.follow_per_day != 0:
self.follow_delay = self.time_in_day / self.follow_per_day
# Unfollow
self.unfollow_per_day = unfollow_per_day
if self.unfollow_per_day != 0:
self.unfollow_delay = self.time_in_day / self.unfollow_per_day
# Comment
self.comments_per_day = comments_per_day
if self.comments_per_day != 0:
self.comments_delay = self.time_in_day / self.comments_per_day
# Don't like if media have more than n likes.
self.media_max_like = media_max_like
# Don't like if media have less than n likes.
self.media_min_like = media_min_like
# Auto mod seting:
# Default list of tag.
self.tag_list = tag_list
# Get random tag, from tag_list, and like (1 to n) times.
self.max_like_for_one_tag = max_like_for_one_tag
# log_mod 0 to console, 1 to file
self.log_mod = log_mod
self.s = requests.Session()
self.c = requests.Session()
# if you need proxy make something like this:
# self.s.proxies = {"https" : "http://proxyip:proxyport"}
# by @ageorgios
if proxy != "":
proxies = {
'http': 'http://' + proxy,
'https': 'http://' + proxy,
}
self.s.proxies.update(proxies)
# convert login to lower
self.user_login = login.lower()
self.user_password = password
self.bot_mode = 0
self.media_by_tag = []
self.media_on_feed = []
self.media_by_user = []
self.current_user_info = ''
self.unwanted_username_list = unwanted_username_list
now_time = datetime.datetime.now()
self.check_for_bot_update()
log_string = 'Instabot v1.2.0/1 started at %s:' % \
(now_time.strftime("%d.%m.%Y %H:%M"))
self.write_log(log_string)
self.login()
self.populate_user_blacklist()
signal.signal(signal.SIGTERM, self.cleanup)
atexit.register(self.cleanup)
def __init__(self):
self.ua = UserAgent()
def genUA():
"""returns a fake random user-agent"""
return str(UserAgent().random)
import time
import json
import hashlib
import requests
from fake_useragent import UserAgent
url = "http://fanyi.youdao.com/translate?smartresult=dict&smartresult=rule"
headers = {"User-Agent": UserAgent().random}
def main():
def get_salt():
"""获取13位时间戳"""
salt = str(int(round(time.time() * 1000)))
return salt
def get_sign():
"""获取sign"""
sign = "fanyideskweb" + keywords + get_salt() + "6x(ZHw]mwzX#u0V7@yfwK"
hl = hashlib.md5()
hl.update(sign.encode(encoding='utf-8'))
return sign
data = {
'i': keywords,
'from': 'AUTO',
'to': 'AUTO',
'smartresult': 'dict',
'client': 'fanyideskweb',
'salt': get_salt(),
'sign': get_sign(),
def ret_augst(self):
ua = UserAgent()
return {'User-Agent': ua.random}
