需要用到的包：
beautifulsoup4
html5lib
image
requests
redis
pymysql
pip安装所有依赖包：
pip install \
image \
requests \
beautifulsoup4 \
html5lib \
redis \
pymysql
运行环境需要支持中文
测试运行环境python3.5，不保证其他运行环境能完美运行
需要安装mysql和redis
配置
config.ini
文件，设置好mysql和redis，并且填写你的知乎帐号
向数据库导入
init.sql
run
开始抓取数据:
python get_user.py
查看抓取数量:
python check_redis.py
效果
总体思路
1.首先是模拟登陆知乎，利用保存登陆的cookie信息
2.抓取知乎页面的html代码，留待下一步继续进行分析提取信息
3.分析提取页面中用户的个性化url，放入redis（这里特别说明一下redis的思路用法，将提取到的用户的个性化url放入redis的一个名为already_get_user的hash table，表示已抓取的用户，对于已抓取过的用户判断是否存在于already_get_user以去除重复抓取，同时将个性化url放入user_queue的队列中，需要抓取新用户时pop队列获取新的用户）
4.获取用户的关注列表和粉丝列表，继续插入到redis
5.从redis的user_queue队列中获取新用户继续重复步骤3
模拟登陆知乎
首先是登陆，登陆功能作为一个包封装了在login里面，方便整合调用
header部分，这里connection最好设为close，不然可能会碰到max retireve exceed的错误
原因在于普通的连接是keep-alive的但是却又没有关闭
# http请求的header
headers = {
user-agent: mozilla/5.0 (windows nt 10.0; win64; x64) applewebkit/537.36 (khtml, like gecko) chrome/53.0.2785.143 safari/537.36,
accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8,
host: www.zhihu.com,
referer: https://www.zhihu.com/,
origin: https://www.zhihu.com/,
upgrade-insecure-requests: 1,
content-type: application/x-www-form-urlencoded; charset=utf-8,
pragma: no-cache,
accept-encoding: gzip, deflate, br,
'connection': 'close'
}
# 验证是否登陆
def check_login(self):
check_url = 'https://www.zhihu.com/settings/profile'
try:
login_check = self.__session.get(check_url, headers=self.headers, timeout=35)
except exception as err:
print(traceback.print_exc())
print(err)
print(验证登陆失败，请检查网络)
sys.exit()
print(验证登陆的http status code为： + str(login_check.status_code))
if int(login_check.status_code) == 200:
return true
else:
return false
进入首页查看http状态码来验证是否登陆，200为已经登陆，一般304就是被重定向所以就是没有登陆
# 获取验证码
def get_captcha(self):
t = str(time.time() * 1000)
captcha_url = 'http://www.zhihu.com/captcha.gif?r=' + t + &type=login
r = self.__session.get(captcha_url, headers=self.headers, timeout=35)
with open('captcha.jpg', 'wb') as f:
f.write(r.content)
f.close()
# 用pillow 的 image 显示验证码
# 如果没有安装 pillow 到源代码所在的目录去找到验证码然后手动输入
'''try:
im = image.open('captcha.jpg')
im.show()
im.close()
except:'''
print(u'请到 %s 目录找到captcha.jpg 手动输入' % os.path.abspath('captcha.jpg'))
captcha = input(请输入验证码\n>)
return captcha
获取验证码的方法。当登录次数太多有可能会要求输入验证码，这里实现这个功能
# 获取xsrf
def get_xsrf(self):
index_url = 'http://www.zhihu.com'
# 获取登录时需要用到的_xsrf
try:
index_page = self.__session.get(index_url, headers=self.headers, timeout=35)
except:
print('获取知乎页面失败，请检查网络连接')
sys.exit()
html = index_page.text
# 这里的_xsrf 返回的是一个list
bs = beautifulsoup(html, 'html.parser')
xsrf_input = bs.find(attrs={'name': '_xsrf'})
pattern = r'value=\(.*?)\'
print(xsrf_input)
self.__xsrf = re.findall(pattern, str(xsrf_input))
return self.__xsrf[0]
获取xsrf，为什么要获取xsrf呢，因为xsrf是一种防止跨站攻击的手段，具体介绍可以看这里csrf
在获取到xsrf之后把xsrf存入cookie当中，并且在调用api的时候带上xsrf作为头部，不然的话知乎会返回403
# 进行模拟登陆
def do_login(self):
try:
# 模拟登陆
if self.check_login():
print('您已经登录')
return
else:
if self.config.get(zhihu_account, username) and self.config.get(zhihu_account, password):
self.username = self.config.get(zhihu_account, username)
self.password = self.config.get(zhihu_account, password)
else:
self.username = input('请输入你的用户名\n> ')
self.password = input(请输入你的密码\n> )
except exception as err:
print(traceback.print_exc())
print(err)
sys.exit()
if re.match(r^1\d{10}$, self.username):
print(手机登陆\n)
post_url = 'http://www.zhihu.com/login/phone_num'
postdata = {
'_xsrf': self.get_xsrf(),
'password': self.password,
'remember_me': 'true',
'phone_num': self.username,
}
else:
print(邮箱登陆\n)
post_url = 'http://www.zhihu.com/login/email'
postdata = {
'_xsrf': self.get_xsrf(),
'password': self.password,
'remember_me': 'true',
'email': self.username,
}
try:
login_page = self.__session.post(post_url, postdata, headers=self.headers, timeout=35)
login_text = json.loads(login_page.text.encode('latin-1').decode('unicode-escape'))
print(postdata)
print(login_text)
# 需要输入验证码 r = 0为登陆成功代码
if login_text['r'] == 1:
sys.exit()
except:
postdata['captcha'] = self.get_captcha()
login_page = self.__session.post(post_url, postdata, headers=self.headers, timeout=35)
print(json.loads(login_page.text.encode('latin-1').decode('unicode-escape')))
# 保存登陆cookie
self.__session.cookies.save()
这个就是核心的登陆功能啦，非常关键的就是用到了requests库，非常方便的保存到session
我们这里全局都是用单例模式，统一使用同一个requests.session对象进行访问功能，保持登录状态的一致性
最后主要调用登陆的代码为
# 创建login对象
lo = login.login.login(self.session)
# 模拟登陆
if lo.check_login():
print('您已经登录')
else:
if self.config.get(zhihu_account, username) and self.config.get(zhihu_account, username):
username = self.config.get(zhihu_account, username)
password = self.config.get(zhihu_account, password)
else:
username = input('请输入你的用户名\n> ')
password = input(请输入你的密码\n> )
lo.do_login(username, password)
知乎模拟登陆到此就完成啦
知乎用户抓取
def __init__(self, threadid=1, name=''):
# 多线程
print(线程 + str(threadid) + 初始化)
threading.thread.__init__(self)
self.threadid = threadid
self.name = name
try:
print(线程 + str(threadid) + 初始化成功)
except exception as err:
print(err)
print(线程 + str(threadid) + 开启失败)
self.threadlock = threading.lock()
# 获取配置
self.config = configparser.configparser()
self.config.read(config.ini)
# 初始化session
requests.adapters.default_retries = 5
self.session = requests.session()
self.session.cookies = cookielib.lwpcookiejar(filename='cookie')
self.session.keep_alive = false
try:
self.session.cookies.load(ignore_discard=true)
except:
print('cookie 未能加载')
finally:
pass
# 创建login对象
lo = login(self.session)
lo.do_login()
# 初始化redis连接
try:
redis_host = self.config.get(redis, host)
redis_port = self.config.get(redis, port)
self.redis_con = redis.redis(host=redis_host, port=redis_port, db=0)
# 刷新redis库
# self.redis_con.flushdb()
except:
print(请安装redis或检查redis连接配置)
sys.exit()
# 初始化数据库连接
try:
db_host = self.config.get(db, host)
db_port = int(self.config.get(db, port))
db_user = self.config.get(db, user)
db_pass = self.config.get(db, password)
db_db = self.config.get(db, db)
db_charset = self.config.get(db, charset)
self.db = pymysql.connect(host=db_host, port=db_port, user=db_user, passwd=db_pass, db=db_db,
charset=db_charset)
self.db_cursor = self.db.cursor()
except:
print(请检查数据库配置)
sys.exit()
# 初始化系统设置
self.max_queue_len = int(self.config.get(sys, max_queue_len))
这个是get_user.py的构造函数，主要功能就是初始化mysql连接、redis连接、验证登陆、生成全局的session对象、导入系统配置、开启多线程。
# 获取首页html
def get_index_page(self):
index_url = 'https://www.zhihu.com/'
try:
index_html = self.session.get(index_url, headers=self.headers, timeout=35)
except exception as err:
# 出现异常重试
print(获取页面失败，正在重试......)
print(err)
traceback.print_exc()
return none
finally:
pass
return index_html.text
# 获取单个用户详情页面
def get_user_page(self, name_url):
user_page_url = 'https://www.zhihu.com' + str(name_url) + '/about'
try:
index_html = self.session.get(user_page_url, headers=self.headers, timeout=35)
except exception as err:
# 出现异常重试
print(失败name_url： + str(name_url) + 获取页面失败，放弃该用户)
print(err)
traceback.print_exc()
return none
finally:
pass
return index_html.text
# 获取粉丝页面
def get_follower_page(self, name_url):
user_page_url = 'https://www.zhihu.com' + str(name_url) + '/followers'
try:
index_html = self.session.get(user_page_url, headers=self.headers, timeout=35)
except exception as err:
# 出现异常重试
print(失败name_url： + str(name_url) + 获取页面失败，放弃该用户)
print(err)
traceback.print_exc()
return none
finally:
pass
return index_html.text
def get_following_page(self, name_url):
user_page_url = 'https://www.zhihu.com' + str(name_url) + '/followers'
try:
index_html = self.session.get(user_page_url, headers=self.headers, timeout=35)
except exception as err:
# 出现异常重试
print(失败name_url： + str(name_url) + 获取页面失败，放弃该用户)
print(err)
traceback.print_exc()
return none
finally:
pass
return index_html.text
# 获取首页上的用户列表，存入redis
def get_index_page_user(self):
index_html = self.get_index_page()
if not index_html:
return
bs = beautifulsoup(index_html, html.parser)
self.get_xsrf(index_html)
user_a = bs.find_all(a, class_=author-link) # 获取用户的a标签
for a in user_a:
if a:
self.add_wait_user(a.get('href'))
else:
continue
这一部分的代码就是用于抓取各个页面的html代码
# 加入带抓取用户队列，先用redis判断是否已被抓取过
def add_wait_user(self, name_url):
# 判断是否已抓取
self.threadlock.acquire()
if not self.redis_con.hexists('already_get_user', name_url):
self.counter += 1
print(name_url + 加入队列)
self.redis_con.hset('already_get_user', name_url, 1)
self.redis_con.lpush('user_queue', name_url)
print(添加用户 + name_url + 到队列)
self.threadlock.release()
# 获取页面出错移出redis
def del_already_user(self, name_url):
self.threadlock.acquire()
if not self.redis_con.hexists('already_get_user', name_url):
self.counter -= 1
self.redis_con.hdel('already_get_user', name_url)
self.threadlock.release()
用户加入redis的操作，在数据库插入出错时我们调用del_already_user删除插入出错的用户
# 分析粉丝页面获取用户的所有粉丝用户
# @param follower_page get_follower_page()中获取到的页面，这里获取用户hash_id请求粉丝接口获取粉丝信息
def get_all_follower(self, name_url):
follower_page = self.get_follower_page(name_url)
# 判断是否获取到页面
if not follower_page:
return
bs = beautifulsoup(follower_page, 'html.parser')
# 获取关注者数量
follower_num = int(bs.find('span', text='关注者').find_parent().find('strong').get_text())
# 获取用户的hash_id
hash_id = \
json.loads(bs.select(#zh-profile-follows-list)[0].select(.zh-general-list)[0].get('data-init'))[
'params'][
'hash_id']
# 获取关注者列表
self.get_xsrf(follower_page) # 获取xsrf
post_url = 'https://www.zhihu.com/node/profilefollowerslistv2'
# 开始获取所有的关注者 math.ceil(follower_num/20)*20
for i in range(0, math.ceil(follower_num / 20) * 20, 20):
post_data = {
'method': 'next',
'params': json.dumps({offset: i, order_by: created, hash_id: hash_id})
}
try:
j = self.session.post(post_url, params=post_data, headers=self.headers, timeout=35).text.encode(
'latin-1').decode(
'unicode-escape')
pattern = re.compile(rclass=\zm-item-link-avatar\[^\]*\([^\]*), re.dotall)
j = pattern.findall(j)
for user in j:
user = user.replace('\\', '')
self.add_wait_user(user) # 保存到redis
except exception as err:
print(获取正在关注失败)
print(err)
traceback.print_exc()
pass
# 获取正在关注列表
def get_all_following(self, name_url):
following_page = self.get_following_page(name_url)
# 判断是否获取到页面
if not following_page:
return
bs = beautifulsoup(following_page, 'html.parser')
# 获取关注者数量
following_num = int(bs.find('span', text='关注了').find_parent().find('strong').get_text())
# 获取用户的hash_id
hash_id = \
json.loads(bs.select(#zh-profile-follows-list)[0].select(.zh-general-list)[0].get('data-init'))[
'params'][
'hash_id']
# 获取关注者列表
self.get_xsrf(following_page) # 获取xsrf
post_url = 'https://www.zhihu.com/node/profilefolloweeslistv2'
# 开始获取所有的关注者 math.ceil(follower_num/20)*20
for i in range(0, math.ceil(following_num / 20) * 20, 20):
post_data = {
'method': 'next',
'params': json.dumps({offset: i, order_by: created, hash_id: hash_id})
}
try:
j = self.session.post(post_url, params=post_data, headers=self.headers, timeout=35).text.encode(
'latin-1').decode(
'unicode-escape')
pattern = re.compile(rclass=\zm-item-link-avatar\[^\]*\([^\]*), re.dotall)
j = pattern.findall(j)
for user in j:
user = user.replace('\\', '')
self.add_wait_user(user) # 保存到redis
except exception as err:
print(获取正在关注失败)
print(err)
traceback.print_exc()
pass
调用知乎的api，获取所有的关注用户列表和粉丝用户列表，递归获取用户
这里需要注意的是头部要记得带上xsrf不然会抛出403
# 分析about页面，获取用户详细资料
def get_user_info(self, name_url):
about_page = self.get_user_page(name_url)
# 判断是否获取到页面
if not about_page:
print(获取用户详情页面失败，跳过，name_url： + name_url)
return
self.get_xsrf(about_page)
bs = beautifulsoup(about_page, 'html.parser')
# 获取页面的具体数据
try:
nickname = bs.find(a, class_=name).get_text() if bs.find(a, class_=name) else ''
user_type = name_url[1:name_url.index('/', 1)]
self_domain = name_url[name_url.index('/', 1) + 1:]
gender = 2 if bs.find(i, class_=icon icon-profile-female) else (1 if bs.find(i, class_=icon icon-profile-male) else 3)
follower_num = int(bs.find('span', text='关注者').find_parent().find('strong').get_text())
following_num = int(bs.find('span', text='关注了').find_parent().find('strong').get_text())
agree_num = int(re.findall(r'<strong>(.*)</strong>.*赞同', about_page)[0])
appreciate_num = int(re.findall(r'<strong>(.*)</strong>.*感谢', about_page)[0])
star_num = int(re.findall(r'<strong>(.*)</strong>.*收藏', about_page)[0])
share_num = int(re.findall(r'<strong>(.*)</strong>.*分享', about_page)[0])
browse_num = int(bs.find_all(span, class_=zg-gray-normal)[2].find(strong).get_text())
trade = bs.find(span, class_=business item).get('title') if bs.find(span,
class_=business item) else ''
company = bs.find(span, class_=employment item).get('title') if bs.find(span,
class_=employment item) else ''
school = bs.find(span, class_=education item).get('title') if bs.find(span,
class_=education item) else ''
major = bs.find(span, class_=education-extra item).get('title') if bs.find(span,
class_=education-extra item) else ''
job = bs.find(span, class_=position item).get_text() if bs.find(span,
class_=position item) else ''
location = bs.find(span, class_=location item).get('title') if bs.find(span,
class_=location item) else ''
description = bs.find(p, class_=bio ellipsis).get('title') if bs.find(p,
class_=bio ellipsis) else ''
ask_num = int(bs.find_all(a, class_='item')[1].find(span).get_text()) if \
bs.find_all(a, class_='item')[
1] else int(0)
answer_num = int(bs.find_all(a, class_='item')[2].find(span).get_text()) if \
bs.find_all(a, class_='item')[
2] else int(0)
article_num = int(bs.find_all(a, class_='item')[3].find(span).get_text()) if \
bs.find_all(a, class_='item')[3] else int(0)
collect_num = int(bs.find_all(a, class_='item')[4].find(span).get_text()) if \
bs.find_all(a, class_='item')[4] else int(0)
public_edit_num = int(bs.find_all(a, class_='item')[5].find(span).get_text()) if \
bs.find_all(a, class_='item')[5] else int(0)
replace_data = \
(pymysql.escape_string(name_url), nickname, self_domain, user_type,
gender, follower_num, following_num, agree_num, appreciate_num, star_num, share_num, browse_num,
trade, company, school, major, job, location, pymysql.escape_string(description),
ask_num, answer_num, article_num, collect_num, public_edit_num)
replace_sql = '''replace into
user(url,nickname,self_domain,user_type,
gender, follower,following,agree_num,appreciate_num,star_num,share_num,browse_num,
trade,company,school,major,job,location,description,
ask_num,answer_num,article_num,collect_num,public_edit_num)
values(%s,%s,%s,%s,
%s,%s,%s,%s,%s,%s,%s,%s,
%s,%s,%s,%s,%s,%s,%s,
%s,%s,%s,%s,%s)'''
try:
print(获取到数据：)
print(replace_data)
self.db_cursor.execute(replace_sql, replace_data)
self.db.commit()
except exception as err:
print(插入数据库出错)
print(获取到数据：)
print(replace_data)
print(插入语句： + self.db_cursor._last_executed)
self.db.rollback()
print(err)
traceback.print_exc()
except exception as err:
print(获取数据出错，跳过用户)
self.redis_con.hdel(already_get_user, name_url)
self.del_already_user(name_url)
print(err)
traceback.print_exc()
pass
最后，到用户的about页面，分析页面元素，利用正则或者beatifulsoup分析抓取页面的数据
这里我们sql语句用replace into而不用insert into，这样可以很好的防止数据重复问题
# 开始抓取用户，程序总入口
def entrance(self):
while 1:
if int(self.redis_con.llen(user_queue)) < 1:
self.get_index_page_user()
else:
# 出队列获取用户name_url redis取出的是byte，要decode成utf-8
name_url = str(self.redis_con.rpop(user_queue).decode('utf-8'))
print(正在处理name_url： + name_url)
self.get_user_info(name_url)
if int(self.redis_con.llen(user_queue)) <= int(self.max_queue_len):
self.get_all_follower(name_url)
self.get_all_following(name_url)
self.session.cookies.save()
def run(self):
print(self.name + is running)
self.entrance()
最后，入口
if __name__ == '__main__':
login = getuser(999, 登陆线程)
threads = []
for i in range(0, 4):
m = getuser(i, thread + str(i))
threads.append(m)
for i in range(0, 4):
threads[i].start()
for i in range(0, 4):
threads[i].join()
这里就是多线程的开启，需要开启多少个线程就把4换成多少就可以了
docker
嫌麻烦的可以参考一下我用docker简单的搭建一个基础环境：
mysql和redis都是官方镜像
docker run --name mysql -itd mysql:latest
docker run --name redis -itd mysql:latest
再利用docker-compose运行python镜像，我的python的docker-compose.yml：
python:
container_name: python
build: .
ports:
- 84:80
external_links:
- memcache:memcache
- mysql:mysql
- redis:redis
volumes:
- /docker_containers/python/www:/var/www/html
tty: true
stdin_open: true
extra_hosts:
- python:192.168.102.140
environment:
pythonioencoding: utf-8
以上就是利用python实现多线程抓取知乎用户方法的详细内容。