Full Code of ansenhuang/scrapy-zhihu-users for AI

Repository: ansenhuang/scrapy-zhihu-users
Branch: master
Commit: dfd8af159c0a
Files: 10
Total size: 24.9 KB

Directory structure:
gitextract_8xotpvm9/

├── .gitignore
├── README.md
├── scrapy.cfg
└── zhihu/
    ├── __init__.py
    ├── items.py
    ├── myconfig.py
    ├── pipelines.py
    ├── settings.py
    └── spiders/
        ├── __init__.py
        └── users.py

================================================
FILE CONTENTS
================================================

================================================
FILE: .gitignore
================================================
*.json
*.gif
*.pyc


================================================
FILE: README.md
================================================
2016-04-10
Scrapy爬虫 - 获取知乎用户数据
======
### 安装Scrapy爬虫框架

关于如何安装Python以及Scrapy框架，这里不做介绍，请自行网上搜索。

### 初始化

安装好Scrapy后，执行 `scrapy startproject myspider`
接下来你会看到 myspider 文件夹，目录结构如下：

- scrapy.cfg
- myspider
    - items.py
    - pipelines.py
    - settings.py
    - __init__.py
    - spiders
        - __init__.py

### 编写爬虫文件

在spiders目录下新建 users.py

```py
# -*- coding: utf-8 -*-
import scrapy
import os
import time
from zhihu.items import UserItem
from zhihu.myconfig import UsersConfig # 爬虫配置

class UsersSpider(scrapy.Spider):
    name = 'users'
    domain = 'https://www.zhihu.com'
    login_url = 'https://www.zhihu.com/login/email'
    headers = {
        "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
        "Accept-Language": "zh-CN,zh;q=0.8",
        "Connection": "keep-alive",
        "Host": "www.zhihu.com",
        "Upgrade-Insecure-Requests": "1",
        "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.109 Safari/537.36"
    }

    def __init__(self, url = None):
        self.user_url = url

    def start_requests(self):
        yield scrapy.Request(
            url = self.domain,
            headers = self.headers,
            meta = {
                'proxy': UsersConfig['proxy'],
                'cookiejar': 1
            },
            callback = self.request_captcha
        )

    def request_captcha(self, response):
        # 获取_xsrf值
        _xsrf = response.css('input[name="_xsrf"]::attr(value)').extract()[0]
        # 获取验证码地址
        captcha_url = 'http://www.zhihu.com/captcha.gif?r=' + str(time.time() * 1000)
        # 准备下载验证码
        yield scrapy.Request(
            url = captcha_url,
            headers = self.headers,
            meta = {
                'proxy': UsersConfig['proxy'],
                'cookiejar': response.meta['cookiejar'],
                '_xsrf': _xsrf
            },
            callback = self.download_captcha
        )

    def download_captcha(self, response):
        # 下载验证码
        with open('captcha.gif', 'wb') as fp:
            fp.write(response.body)
        # 用软件打开验证码图片
        os.system('start captcha.gif')
        # 输入验证码
        print 'Please enter captcha: '
        captcha = raw_input()

        yield scrapy.FormRequest(
            url = self.login_url,
            headers = self.headers,
            formdata = {
                'email': UsersConfig['email'],
                'password': UsersConfig['password'],
                '_xsrf': response.meta['_xsrf'],
                'remember_me': 'true',
                'captcha': captcha
            },
            meta = {
                'proxy': UsersConfig['proxy'],
                'cookiejar': response.meta['cookiejar']
            },
            callback = self.request_zhihu
        )

    def request_zhihu(self, response):
        yield scrapy.Request(
            url = self.user_url + '/about',
            headers = self.headers,
            meta = {
                'proxy': UsersConfig['proxy'],
                'cookiejar': response.meta['cookiejar'],
                'from': {
                    'sign': 'else',
                    'data': {}
                }
            },
            callback = self.user_item,
            dont_filter = True
        )

        yield scrapy.Request(
            url = self.user_url + '/followees',
            headers = self.headers,
            meta = {
                'proxy': UsersConfig['proxy'],
                'cookiejar': response.meta['cookiejar'],
                'from': {
                    'sign': 'else',
                    'data': {}
                }
            },
            callback = self.user_start,
            dont_filter = True
        )

        yield scrapy.Request(
            url = self.user_url + '/followers',
            headers = self.headers,
            meta = {
                'proxy': UsersConfig['proxy'],
                'cookiejar': response.meta['cookiejar'],
                'from': {
                    'sign': 'else',
                    'data': {}
                }
            },
            callback = self.user_start,
            dont_filter = True
        )

    def user_start(self, response):
        sel_root = response.xpath('//h2[@class="zm-list-content-title"]')
        # 判断关注列表是否为空
        if len(sel_root):
            for sel in sel_root:
                people_url = sel.xpath('a/@href').extract()[0]

                yield scrapy.Request(
                    url = people_url + '/about',
                    headers = self.headers,
                    meta = {
                        'proxy': UsersConfig['proxy'],
                        'cookiejar': response.meta['cookiejar'],
                        'from': {
                            'sign': 'else',
                            'data': {}
                        }
                    },
                    callback = self.user_item,
                    dont_filter = True
                )

                yield scrapy.Request(
                    url = people_url + '/followees',
                    headers = self.headers,
                    meta = {
                        'proxy': UsersConfig['proxy'],
                        'cookiejar': response.meta['cookiejar'],
                        'from': {
                            'sign': 'else',
                            'data': {}
                        }
                    },
                    callback = self.user_start,
                    dont_filter = True
                )

                yield scrapy.Request(
                    url = people_url + '/followers',
                    headers = self.headers,
                    meta = {
                        'proxy': UsersConfig['proxy'],
                        'cookiejar': response.meta['cookiejar'],
                        'from': {
                            'sign': 'else',
                            'data': {}
                        }
                    },
                    callback = self.user_start,
                    dont_filter = True
                )

    def user_item(self, response):
        def value(list):
            return list[0] if len(list) else ''

        sel = response.xpath('//div[@class="zm-profile-header ProfileCard"]')

        item = UserItem()
        item['url'] = response.url[:-6]
        item['name'] = sel.xpath('//a[@class="name"]/text()').extract()[0].encode('utf-8')
        item['bio'] = value(sel.xpath('//span[@class="bio"]/@title').extract()).encode('utf-8')
        item['location'] = value(sel.xpath('//span[contains(@class, "location")]/@title').extract()).encode('utf-8')
        item['business'] = value(sel.xpath('//span[contains(@class, "business")]/@title').extract()).encode('utf-8')
        item['gender'] = 0 if sel.xpath('//i[contains(@class, "icon-profile-female")]') else 1
        item['avatar'] = value(sel.xpath('//img[@class="Avatar Avatar--l"]/@src').extract())
        item['education'] = value(sel.xpath('//span[contains(@class, "education")]/@title').extract()).encode('utf-8')
        item['major'] = value(sel.xpath('//span[contains(@class, "education-extra")]/@title').extract()).encode('utf-8')
        item['employment'] = value(sel.xpath('//span[contains(@class, "employment")]/@title').extract()).encode('utf-8')
        item['position'] = value(sel.xpath('//span[contains(@class, "position")]/@title').extract()).encode('utf-8')
        item['content'] = value(sel.xpath('//span[@class="content"]/text()').extract()).strip().encode('utf-8')
        item['ask'] = int(sel.xpath('//div[contains(@class, "profile-navbar")]/a[2]/span[@class="num"]/text()').extract()[0])
        item['answer'] = int(sel.xpath('//div[contains(@class, "profile-navbar")]/a[3]/span[@class="num"]/text()').extract()[0])
        item['agree'] = int(sel.xpath('//span[@class="zm-profile-header-user-agree"]/strong/text()').extract()[0])
        item['thanks'] = int(sel.xpath('//span[@class="zm-profile-header-user-thanks"]/strong/text()').extract()[0])

        yield item
```

### 添加爬虫配置文件

在myspider目录下新建myconfig.py，并添加以下内容，将你的配置信息填入相应位置

```py
# -*- coding: utf-8 -*-
UsersConfig = {
    # 代理
    'proxy': '',

    # 知乎用户名和密码
    'email': 'your email',
    'password': 'your password',
}

DbConfig = {
    # db config
    'user': 'db user',
    'passwd': 'db password',
    'db': 'db name',
    'host': 'db host',
}
```

### 修改items.py

```py
# -*- coding: utf-8 -*-
import scrapy

class UserItem(scrapy.Item):
    # define the fields for your item here like:
    url = scrapy.Field()
    name = scrapy.Field()
    bio = scrapy.Field()
    location = scrapy.Field()
    business = scrapy.Field()
    gender = scrapy.Field()
    avatar = scrapy.Field()
    education = scrapy.Field()
    major = scrapy.Field()
    employment = scrapy.Field()
    position = scrapy.Field()
    content = scrapy.Field()
    ask = scrapy.Field()
    answer = scrapy.Field()
    agree = scrapy.Field()
    thanks = scrapy.Field()
```

### 将用户数据存入mysql数据库

修改pipelines.py

```py
# -*- coding: utf-8 -*-
import MySQLdb
import datetime
from zhihu.myconfig import DbConfig

class UserPipeline(object):
    def __init__(self):
        self.conn = MySQLdb.connect(user = DbConfig['user'], passwd = DbConfig['passwd'], db = DbConfig['db'], host = DbConfig['host'], charset = 'utf8', use_unicode = True)
        self.cursor = self.conn.cursor()
        # 清空表
        # self.cursor.execute('truncate table weather;')
        # self.conn.commit()

    def process_item(self, item, spider):
        curTime = datetime.datetime.now()
        try:
            self.cursor.execute(
                """INSERT IGNORE INTO users (url, name, bio, location, business, gender, avatar, education, major, employment, position, content, ask, answer, agree, thanks, create_at)
                VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)""",
                (
                    item['url'],
                    item['name'],
                    item['bio'],
                    item['location'],
                    item['business'],
                    item['gender'],
                    item['avatar'],
                    item['education'],
                    item['major'],
                    item['employment'],
                    item['position'],
                    item['content'],
                    item['ask'],
                    item['answer'],
                    item['agree'],
                    item['thanks'],
                    curTime
                )
            )
            self.conn.commit()
        except MySQLdb.Error, e:
            print 'Error %d %s' % (e.args[0], e.args[1])

        return item
```

### 修改settings.py

找到 `ITEM_PIPELINES`，改为：
```py
ITEM_PIPELINES = {
   'myspider.pipelines.UserPipeline': 300,
}
```

在末尾添加，设置爬虫的深度
```py
DEPTH_LIMIT=10
```

### 爬取知乎用户数据

确保MySQL已经打开，在项目根目录下打开终端，
执行 `scrapy crawl users -a url=https://www.zhihu.com/people/<user>`，
其中user为爬虫的第一个用户，之后会根据该用户关注的人和被关注的人进行爬取数据
接下来会下载验证码图片，若未自动打开，请到根目录下打开 captcha.gif，在终端输入验证码
数据爬取Loading...

### 源码

源码可以在这里找到 [github](https://github.com/ansenhuang/scrapy-zhihu-users)


================================================
FILE: scrapy.cfg
================================================
# Automatically created by: scrapy startproject
#
# For more information about the [deploy] section see:
# https://scrapyd.readthedocs.org/en/latest/deploy.html

[settings]
default = zhihu.settings

[deploy]
#url = http://localhost:6800/
project = zhihu


================================================
FILE: zhihu/__init__.py
================================================


================================================
FILE: zhihu/items.py
================================================
# -*- coding: utf-8 -*-

# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html

import scrapy


class UserItem(scrapy.Item):
    # define the fields for your item here like:
    url = scrapy.Field()
    name = scrapy.Field()
    bio = scrapy.Field()
    location = scrapy.Field()
    business = scrapy.Field()
    gender = scrapy.Field()
    avatar = scrapy.Field()
    education = scrapy.Field()
    major = scrapy.Field()
    employment = scrapy.Field()
    position = scrapy.Field()
    content = scrapy.Field()
    ask = scrapy.Field()
    answer = scrapy.Field()
    agree = scrapy.Field()
    thanks = scrapy.Field()


================================================
FILE: zhihu/myconfig.py
================================================
# -*- coding: utf-8 -*-
UsersConfig = {
    # 代理
    'proxy': '',

    # 知乎用户名和密码
    'email': '',
    'password': '',
}

DbConfig = {
    # db config
    'user': 'root',
    'passwd': '123456',
    'db': 'zhihu',
    'host': '127.0.0.1',
}


================================================
FILE: zhihu/pipelines.py
================================================
# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import MySQLdb
import datetime
from zhihu.myconfig import DbConfig

class UserPipeline(object):
    def __init__(self):
        self.conn = MySQLdb.connect(user = DbConfig['user'], passwd = DbConfig['passwd'], db = DbConfig['db'], host = DbConfig['host'], charset = 'utf8', use_unicode = True)
        self.cursor = self.conn.cursor()
        # 清空表
        # self.cursor.execute('truncate table weather;')
        # self.conn.commit()

    def process_item(self, item, spider):
        curTime = datetime.datetime.now()
        try:
            self.cursor.execute(
                """INSERT IGNORE INTO users (url, name, bio, location, business, gender, avatar, education, major, employment, position, content, ask, answer, agree, thanks, create_at)
                VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)""",
                (
                    item['url'],
                    item['name'],
                    item['bio'],
                    item['location'],
                    item['business'],
                    item['gender'],
                    item['avatar'],
                    item['education'],
                    item['major'],
                    item['employment'],
                    item['position'],
                    item['content'],
                    item['ask'],
                    item['answer'],
                    item['agree'],
                    item['thanks'],
                    curTime
                )
            )
            self.conn.commit()
        except MySQLdb.Error, e:
            print 'Error %d %s' % (e.args[0], e.args[1])

        return item


================================================
FILE: zhihu/settings.py
================================================
# -*- coding: utf-8 -*-

# Scrapy settings for zhihu project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
#     http://doc.scrapy.org/en/latest/topics/settings.html
#     http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
#     http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html

BOT_NAME = 'zhihu'

SPIDER_MODULES = ['zhihu.spiders']
NEWSPIDER_MODULE = 'zhihu.spiders'


# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'zhihu (+http://www.yourdomain.com)'

# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS=32

# Configure a delay for requests for the same website (default: 0)
# See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
#DOWNLOAD_DELAY=3
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN=16
#CONCURRENT_REQUESTS_PER_IP=16

# Disable cookies (enabled by default)
COOKIES_ENABLED=True
COOKIES_DEBUG=False

# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED=False

# Override the default request headers:
#DEFAULT_REQUEST_HEADERS = {
#   'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
#   'Accept-Language': 'en',
#}

# Enable or disable spider middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
#    'zhihu.middlewares.MyCustomSpiderMiddleware': 543,
#}

# Enable or disable downloader middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
#    'zhihu.middlewares.MyCustomDownloaderMiddleware': 543,
#}

# Enable or disable extensions
# See http://scrapy.readthedocs.org/en/latest/topics/extensions.html
#EXTENSIONS = {
#    'scrapy.telnet.TelnetConsole': None,
#}

# Configure item pipelines
# See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html
ITEM_PIPELINES = {
   'zhihu.pipelines.UserPipeline': 300,
}

# Enable and configure the AutoThrottle extension (disabled by default)
# See http://doc.scrapy.org/en/latest/topics/autothrottle.html
# NOTE: AutoThrottle will honour the standard settings for concurrency and delay
#AUTOTHROTTLE_ENABLED=True
# The initial download delay
#AUTOTHROTTLE_START_DELAY=5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY=60
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG=False

# Enable and configure HTTP caching (disabled by default)
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED=True
#HTTPCACHE_EXPIRATION_SECS=0
#HTTPCACHE_DIR='httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES=[]
#HTTPCACHE_STORAGE='scrapy.extensions.httpcache.FilesystemCacheStorage'

# Extra
DEPTH_LIMIT=3+10


================================================
FILE: zhihu/spiders/__init__.py
================================================
# This package will contain the spiders of your Scrapy project
#
# Please refer to the documentation for information on how to create and manage
# your spiders.


================================================
FILE: zhihu/spiders/users.py
================================================
# -*- coding: utf-8 -*-
import scrapy
import os
import time
from zhihu.items import UserItem
from zhihu.myconfig import UsersConfig

class UsersSpider(scrapy.Spider):
    name = 'users'
    domain = 'https://www.zhihu.com'
    login_url = 'https://www.zhihu.com/login/email'
    headers = {
        "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
        "Accept-Language": "zh-CN,zh;q=0.8",
        "Connection": "keep-alive",
        "Host": "www.zhihu.com",
        "Upgrade-Insecure-Requests": "1",
        "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.109 Safari/537.36"
    }

    def __init__(self, url = None):
        self.user_url = url

    def start_requests(self):
        yield scrapy.Request(
            url = self.domain,
            headers = self.headers,
            meta = {
                'proxy': UsersConfig['proxy'],
                'cookiejar': 1
            },
            callback = self.request_captcha
        )

    def request_captcha(self, response):
        # 获取_xsrf值
        _xsrf = response.css('input[name="_xsrf"]::attr(value)').extract()[0]
        # 获取验证码地址
        captcha_url = 'http://www.zhihu.com/captcha.gif?r=' + str(time.time() * 1000)
        # 准备下载验证码
        yield scrapy.Request(
            url = captcha_url,
            headers = self.headers,
            meta = {
                'proxy': UsersConfig['proxy'],
                'cookiejar': response.meta['cookiejar'],
                '_xsrf': _xsrf
            },
            callback = self.download_captcha
        )

    def download_captcha(self, response):
        # 下载验证码
        with open('captcha.gif', 'wb') as fp:
            fp.write(response.body)
        # 用软件打开验证码图片
        os.system('start captcha.gif')
        # 输入验证码
        print 'Please enter captcha: '
        captcha = raw_input()

        yield scrapy.FormRequest(
            url = self.login_url,
            headers = self.headers,
            formdata = {
                'email': UsersConfig['email'],
                'password': UsersConfig['password'],
                '_xsrf': response.meta['_xsrf'],
                'remember_me': 'true',
                'captcha': captcha
            },
            meta = {
                'proxy': UsersConfig['proxy'],
                'cookiejar': response.meta['cookiejar']
            },
            callback = self.request_zhihu
        )

    def request_zhihu(self, response):
        yield scrapy.Request(
            url = self.user_url + '/about',
            headers = self.headers,
            meta = {
                'proxy': UsersConfig['proxy'],
                'cookiejar': response.meta['cookiejar'],
                'from': {
                    'sign': 'else',
                    'data': {}
                }
            },
            callback = self.user_item,
            dont_filter = True
        )

        yield scrapy.Request(
            url = self.user_url + '/followees',
            headers = self.headers,
            meta = {
                'proxy': UsersConfig['proxy'],
                'cookiejar': response.meta['cookiejar'],
                'from': {
                    'sign': 'else',
                    'data': {}
                }
            },
            callback = self.user_start,
            dont_filter = True
        )

        yield scrapy.Request(
            url = self.user_url + '/followers',
            headers = self.headers,
            meta = {
                'proxy': UsersConfig['proxy'],
                'cookiejar': response.meta['cookiejar'],
                'from': {
                    'sign': 'else',
                    'data': {}
                }
            },
            callback = self.user_start,
            dont_filter = True
        )

    def user_start(self, response):
        sel_root = response.xpath('//h2[@class="zm-list-content-title"]')
        # 判断关注列表是否为空
        if len(sel_root):
            for sel in sel_root:
                people_url = sel.xpath('a/@href').extract()[0]

                yield scrapy.Request(
                    url = people_url + '/about',
                    headers = self.headers,
                    meta = {
                        'proxy': UsersConfig['proxy'],
                        'cookiejar': response.meta['cookiejar'],
                        'from': {
                            'sign': 'else',
                            'data': {}
                        }
                    },
                    callback = self.user_item,
                    dont_filter = True
                )

                yield scrapy.Request(
                    url = people_url + '/followees',
                    headers = self.headers,
                    meta = {
                        'proxy': UsersConfig['proxy'],
                        'cookiejar': response.meta['cookiejar'],
                        'from': {
                            'sign': 'else',
                            'data': {}
                        }
                    },
                    callback = self.user_start,
                    dont_filter = True
                )

                yield scrapy.Request(
                    url = people_url + '/followers',
                    headers = self.headers,
                    meta = {
                        'proxy': UsersConfig['proxy'],
                        'cookiejar': response.meta['cookiejar'],
                        'from': {
                            'sign': 'else',
                            'data': {}
                        }
                    },
                    callback = self.user_start,
                    dont_filter = True
                )

    def user_item(self, response):
        def value(list):
            return list[0] if len(list) else ''

        sel = response.xpath('//div[@class="zm-profile-header ProfileCard"]')

        item = UserItem()
        item['url'] = response.url[:-6]
        item['name'] = sel.xpath('//a[@class="name"]/text()').extract()[0].encode('utf-8')
        item['bio'] = value(sel.xpath('//span[@class="bio"]/@title').extract()).encode('utf-8')
        item['location'] = value(sel.xpath('//span[contains(@class, "location")]/@title').extract()).encode('utf-8')
        item['business'] = value(sel.xpath('//span[contains(@class, "business")]/@title').extract()).encode('utf-8')
        item['gender'] = 0 if sel.xpath('//i[contains(@class, "icon-profile-female")]') else 1
        item['avatar'] = value(sel.xpath('//img[@class="Avatar Avatar--l"]/@src').extract())
        item['education'] = value(sel.xpath('//span[contains(@class, "education")]/@title').extract()).encode('utf-8')
        item['major'] = value(sel.xpath('//span[contains(@class, "education-extra")]/@title').extract()).encode('utf-8')
        item['employment'] = value(sel.xpath('//span[contains(@class, "employment")]/@title').extract()).encode('utf-8')
        item['position'] = value(sel.xpath('//span[contains(@class, "position")]/@title').extract()).encode('utf-8')
        item['content'] = value(sel.xpath('//span[@class="content"]/text()').extract()).strip().encode('utf-8')
        item['ask'] = int(sel.xpath('//div[contains(@class, "profile-navbar")]/a[2]/span[@class="num"]/text()').extract()[0])
        item['answer'] = int(sel.xpath('//div[contains(@class, "profile-navbar")]/a[3]/span[@class="num"]/text()').extract()[0])
        item['agree'] = int(sel.xpath('//span[@class="zm-profile-header-user-agree"]/strong/text()').extract()[0])
        item['thanks'] = int(sel.xpath('//span[@class="zm-profile-header-user-thanks"]/strong/text()').extract()[0])

        yield item