scrapy 爬取知乎问题、答案 ，并异步写入数据库（mysql）

  1 # -*- coding: utf-8 -*-
  2 import base64
  3 import json
  4 import urlparse
  5 import re
  6 from datetime import datetime
  7 import scrapy
  8 from scrapy.loader import ItemLoader
  9 from ..items import ZhiHuQuestionItem, ZhiHuAnswerItem
 10 
 11 
 12 class ZhihuSpider(scrapy.Spider):
 13     name = ‘zhihu‘
 14     allowed_domains = [‘www.zhihu.com‘]
 15     start_urls = [‘https://www.zhihu.com‘]
 16     start_answer_url = "https://www.zhihu.com/api/v4/questions/{}/answers?include=data%5B%2A%5D.is_normal%2Cadmin_closed_comment%2Creward_info%2Cis_collapsed%2Cannotation_action%2Cannotation_detail%2Ccollapse_reason%2Cis_sticky%2Ccollapsed_by%2Csuggest_edit%2Ccomment_count%2Ccan_comment%2Ccontent%2Ceditable_content%2Cvoteup_count%2Creshipment_settings%2Ccomment_permission%2Ccreated_time%2Cupdated_time%2Creview_info%2Crelevant_info%2Cquestion%2Cexcerpt%2Crelationship.is_authorized%2Cis_author%2Cvoting%2Cis_thanked%2Cis_nothelp%2Cupvoted_followees%3Bdata%5B%2A%5D.mark_infos%5B%2A%5D.url%3Bdata%5B%2A%5D.author.follower_count%2Cbadge%5B%3F%28type%3Dbest_answerer%29%5D.topics&limit=20&offset={}&sort_by=default"
 17 
 18     headers = {
 19         ‘User-Agent‘: ‘Mozilla/5.0 (Windows NT 6.1; WOW64; rv:50.0) Gecko/20100101 Firefox/50.0‘,
 20         ‘Referer‘: ‘https://www.zhihu.com‘,
 21         ‘HOST‘: ‘www.zhihu.com‘,
 22         ‘Authorization‘: ‘oauth c3cef7c66a1843f8b3a9e6a1e3160e20‘
 23     }
 24     points_list = [[20, 27], [42, 25], [65, 20], [90, 25], [115, 32], [140, 25], [160, 25]]
 25 
 26     def start_requests(self):
 27         """
 28         重写父类的start_requests()函数，在这里设置爬虫的起始url为登录页面的url。
 29         :return:
 30         """
 31         yield scrapy.Request(
 32             url=‘https://www.zhihu.com/api/v3/oauth/captcha?lang=cn‘,
 33             callback=self.captcha,
 34             headers=self.headers,
 35         )
 36 
 37     def captcha(self, response):
 38         show_captcha = json.loads(response.body)[‘show_captcha‘]
 39         if show_captcha:
 40             print u‘有验证码‘
 41             yield scrapy.Request(
 42                 url=‘https://www.zhihu.com/api/v3/oauth/captcha?lang=cn‘,
 43                 method=‘PUT‘,
 44                 headers=self.headers,
 45                 callback=self.shi_bie
 46             )
 47         else:
 48             print u‘没有验证码‘
 49             # 直接进行登录的操作
 50             post_url = ‘https://www.zhihu.com/api/v3/oauth/sign_in‘
 51             post_data = {
 52                 ‘client_id‘: ‘c3cef7c66a1843f8b3a9e6a1e3160e20‘,
 53                 ‘grant_type‘: ‘password‘,
 54                 ‘timestamp‘: ‘1515391742289‘,
 55                 ‘source‘: ‘com.zhihu.web‘,
 56                 ‘signature‘: ‘6d1d179e50a06d1c17d6e8b5c89f77db34f406ac‘,
 57                 ‘username‘: ‘‘,#账号
 58                 ‘password‘: ‘‘,#密码
 59                 ‘captcha‘: ‘‘,
 60                 ‘lang‘: ‘cn‘,
 61                 ‘ref_source‘: ‘homepage‘,
 62                 ‘utm_source‘: ‘‘
 63             }
 64 
 65             yield scrapy.FormRequest(
 66                 url=post_url,
 67                 headers=self.headers,
 68                 formdata=post_data,
 69                 callback=self.index_page
 70             )
 71 
 72     def shi_bie(self, response):
 73         try:
 74             img= json.loads(response.body)[‘img_base64‘]
 75         except Exception, e:
 76             print ‘获取img_base64的值失败，原因：%s‘%e
 77         else:
 78             print ‘成功获取加密后的图片地址‘
 79             # 将加密后的图片进行解密，同时保存到本地
 80             img = img.encode(‘utf-8‘)
 81             img_data = base64.b64decode(img)
 82             with open(‘zhihu_captcha.GIF‘, ‘wb‘) as f:
 83                 f.write(img_data)
 84 
 85             captcha = raw_input(‘请输入倒立汉字的位置：‘)
 86             if len(captcha) == 2:
 87                 # 说明有两个倒立的汉字
 88                 pass
 89                 first_char = int(captcha[0]) - 1 # 第一个汉字对应列表中的索引
 90                 second_char = int(captcha[1]) - 1 # 第二个汉字对应列表中的索引
 91                 captcha = ‘{"img_size":[200,44],"input_points":[%s,%s]}‘ % (self.points_list[first_char], self.points_list[second_char])
 92             else:
 93                 # 说明只有一个倒立的汉字
 94                 pass
 95                 first_char = int(captcha[0]) - 1
 96                 captcha = ‘{"img_size":[200,44],"input_points":[%s]}‘ % (
 97             self.points_list[first_char])
 98 
 99             data = {
100                 ‘input_text‘: captcha
101             }
102             yield scrapy.FormRequest(
103                 url=‘https://www.zhihu.com/api/v3/oauth/captcha?lang=cn‘,
104                 headers=self.headers,
105                 formdata=data,
106                 callback=self.get_result
107             )
108 
109     def get_result(self, response):
110         try:
111             yan_zheng_result = json.loads(response.body)[‘success‘]
112         except Exception, e:
113             print ‘关于验证码的POST请求响应失败，原因：{}‘.format(e)
114         else:
115             if yan_zheng_result:
116                 print u‘验证成功‘
117                 post_url = ‘https://www.zhihu.com/api/v3/oauth/sign_in‘
118                 post_data = {
119                     ‘client_id‘: ‘c3cef7c66a1843f8b3a9e6a1e3160e20‘,
120                     ‘grant_type‘: ‘password‘,
121                     ‘timestamp‘: ‘1515391742289‘,
122                     ‘source‘: ‘com.zhihu.web‘,
123                     ‘signature‘: ‘6d1d179e50a06d1c17d6e8b5c89f77db34f406ac‘,
124                     ‘username‘: ‘‘,#账号
125                     ‘password‘: ‘‘,#密码
126                     ‘captcha‘: ‘‘,
127                     ‘lang‘: ‘cn‘,
128                     ‘ref_source‘: ‘homepage‘,
129                     ‘utm_source‘: ‘‘
130                 }
　　　　　　　　　　　　#以上数据需要在抓包中获取
131 
132                 yield scrapy.FormRequest(
133                     url=post_url,
134                     headers=self.headers,
135                     formdata=post_data,
136                     callback=self.index_page
137                 )
138             else:
139                 print u‘是错误的验证码！‘
140 
141     def index_page(self, response):
142         for url in self.start_urls:
143             yield scrapy.Request(
144                 url=url,
145                 headers=self.headers
146             )
147 
148     def parse(self, response):
149         """
150         提取首页中的所有问题的url，并对这些url进行进一步的追踪，爬取详情页的数据。
151         :param response:
152         :return:
153         """
154         # /question/19618276/answer/267334062
155         all_urls = response.xpath(‘//a[@data-za-detail-view-element_name="Title"]/@href‘).extract()
156         all_urls = [urlparse.urljoin(response.url, url) for url in all_urls]
157         for url in all_urls:
158             # https://www.zhihu.com/question/19618276/answer/267334062
159             # 同时提取：详情的url；文章的ID；
160             result = re.search(‘(.*zhihu.com/question/(\d+))‘, url)
161             if result:
162                 detail_url = result.group(1)
163                 question_id = result.group(2)
164                 # 将详情url交由下载器去下载网页源码
165                 yield scrapy.Request(
166                     url=detail_url,
167                     headers=self.headers,
168                     callback=self.parse_detail_question,
169                     meta={
170                         ‘question_id‘: question_id,
171                     }
172                 )
173 
174                 # 在向详情url发送请求的同时，根据问题的ID，同时向问题的url发送请求。由于问题和答案是两个独立的url。而答案其实是一个JSON的API接口，直接请求即可，不需要和问题url产生联系。
175                 yield scrapy.Request(
176                     # 参数：问题ID，偏移量。默认偏移量为0，从第一个答案开始请求
177                     url=self.start_answer_url.format(question_id, 0),
178                     headers=self.headers,
179                     callback=self.parse_detail_answer,
180                     meta={
181                         ‘question_id‘: question_id
182                     }
183                 )
184 
185                 break
186 
187     def parse_detail_question(self, response):
188         """
189         用于处理详情页面关于question问题的数据，比如：问题名称，简介，浏览数，关注者数等
190         :param response:
191         :return:
192         """
193         item_loader = ItemLoader(item=ZhiHuQuestionItem(), response=response)
194         item_loader.add_value(‘question_id‘, response.meta[‘question_id‘])
195         item_loader.add_xpath(‘question_title‘, ‘//div[@class="QuestionHeader"]//h1/text()‘)
196         item_loader.add_xpath(‘question_topic‘, ‘//div[@class="QuestionHeader-topics"]//div[@class="Popover"]/div/text()‘)
197         # 获取的问题中，可能会不存在简介
198         item_loader.add_xpath(‘question_content‘, ‘//span[@class="RichText"]/text()‘)
199         item_loader.add_xpath(‘question_watch_num‘, ‘//button[contains(@class, "NumberBoard-item")]//strong/text()‘)
200         item_loader.add_xpath(‘question_click_num‘, ‘//div[@class="NumberBoard-item"]//strong/text()‘)
201         item_loader.add_xpath(‘question_answer_num‘, ‘//h4[@class="List-headerText"]/span/text()‘)
202         item_loader.add_xpath(‘question_comment_num‘, ‘//div[@class="QuestionHeader-Comment"]/button/text()‘)
203         item_loader.add_value(‘question_url‘, response.url)
204         item_loader.add_value(‘question_crawl_time‘, datetime.now())
205 
206         question_item = item_loader.load_item()
207         yield question_item
208 
209     def parse_detail_answer(self, response):
210         """
211         用于解析某一个问题ID对应的所有答案。
212         :param response:
213         :return:
214         """
215         answer_dict = json.loads(response.body)
216         is_end = answer_dict[‘paging‘][‘is_end‘]
217         next_url = answer_dict[‘paging‘][‘next‘]
218 
219         for answer in answer_dict[‘data‘]:
220             answer_item = ZhiHuAnswerItem()
221             answer_item[‘answer_id‘] = answer[‘id‘]
222             answer_item[‘answer_question_id‘] = answer[‘question‘][‘id‘]
223             answer_item[‘answer_author_id‘] = answer[‘author‘][‘id‘]
224             answer_item[‘answer_url‘] = answer[‘url‘]
225             answer_item[‘answer_comment_num‘] = answer[‘comment_count‘]
226             answer_item[‘answer_praise_num‘] = answer[‘voteup_count‘]
227             answer_item[‘answer_create_time‘] = answer[‘created_time‘]
228             answer_item[‘answer_content‘] = answer[‘content‘]
229             answer_item[‘answer_crawl_time‘] = datetime.now()
230             answer_item[‘answer_update_time‘] = answer[‘updated_time‘]
231 
232             yield answer_item
233 
234         # 判断is_end如果值为False，说明还有下一页
235         if not is_end:
236             yield scrapy.Request(
237                 url=next_url,
238                 headers=self.headers,
239                 callback=self.parse_detail_answer
240             )

 1 # -*- coding: utf-8 -*-
 2 
 3 # Define here the models for your scraped items
 4 #
 5 # See documentation in:
 6 # https://doc.scrapy.org/en/latest/topics/items.html
 7 
 8 from datetime import datetime
 9 import scrapy
10 from utils.common import extract_num
11 
12 
13 class ZhihuspiderItem(scrapy.Item):
14     # define the fields for your item here like:
15     # name = scrapy.Field()
16     pass
17 
18 
19 class ZhiHuQuestionItem(scrapy.Item):
20     question_id=scrapy.Field()              # 问题ID
21     question_title = scrapy.Field()         # 问题标题
22     question_topic = scrapy.Field()         # 问题分类
23     question_content = scrapy.Field()       # 问题内容
24     question_watch_num = scrapy.Field()     # 关注者数量
25     question_click_num = scrapy.Field()     # 浏览者数量
26     question_answer_num = scrapy.Field()    # 回答总数
27     question_comment_num = scrapy.Field()   # 评论数量
28     question_crawl_time = scrapy.Field()    # 爬取时间
29     question_url = scrapy.Field()           # 问题详情url
30 
31     def get_insert_sql(self):
32         insert_sql = "insert into zhihu_question(question_id, question_title, question_topic, question_content, question_watch_num, question_click_num, question_answer_num, question_comment_num, question_crawl_time, question_url) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s) ON DUPLICATE KEY UPDATE question_id=VALUES(question_id),question_title=VALUES(question_title),question_topic=VALUES(question_topic),question_content=VALUES(question_content),question_watch_num=VALUES(question_watch_num),question_click_num=VALUES(question_click_num),question_answer_num=VALUES(question_answer_num),question_comment_num=VALUES(question_comment_num),question_crawl_time=VALUES(question_crawl_time),question_url=VALUES(question_url)"
33 
34         # 整理字段对应的数据
35         question_id = str(self[‘question_id‘][0])
36         question_title = ‘‘.join(self[‘question_title‘])
37         question_topic = ",".join(self[‘question_topic‘])
38 
39         try:
40             question_content = ‘‘.join(self[‘question_content‘])
41         except Exception,e:
42             question_content = ‘question_content内容为空‘
43 
44         question_watch_num = ‘‘.join(self[‘question_watch_num‘]).replace(‘,‘, ‘‘)
45         question_watch_num = extract_num(question_watch_num)
46 
47         question_click_num = ‘‘.join(self[‘question_click_num‘]).replace(‘,‘, ‘‘)
48         question_click_num = extract_num(question_click_num)
49         # ‘86 回答‘
50         question_answer_num = ‘‘.join(self[‘question_answer_num‘])
51         question_answer_num = extract_num(question_answer_num)
52         # ‘100 条评论‘
53         question_comment_num = ‘‘.join(self[‘question_comment_num‘])
54         question_comment_num = extract_num(question_comment_num)
55 
56         question_crawl_time = self[‘question_crawl_time‘][0]
57         question_url = self[‘question_url‘][0]
58 
59         args_tuple = (question_id, question_title, question_topic, question_content, question_watch_num, question_click_num, question_answer_num, question_comment_num, question_crawl_time, question_url)
60 
61         return insert_sql, args_tuple
62 
63 
64 class ZhiHuAnswerItem(scrapy.Item):
65     answer_id = scrapy.Field()                  # 答案的ID (zhihu_answer表的主键)
66     answer_question_id = scrapy.Field()         # 问题的ID (zhihu_question表的主键)
67     answer_author_id = scrapy.Field()           # 回答用户的ID
68     answer_url = scrapy.Field()                 # 回答的url
69     answer_comment_num = scrapy.Field()         # 该回答的总评论数
70     answer_praise_num = scrapy.Field()          # 该回答的总点赞数
71     answer_create_time = scrapy.Field()         # 该回答的创建时间
72     answer_content = scrapy.Field()             # 回答的内容
73     answer_update_time = scrapy.Field()         # 回答的更新时间
74 
75     answer_crawl_time = scrapy.Field()          # 爬虫的爬取时间
76 
77     def get_insert_sql(self):
78         insert_sql = "insert into zhihu_answer(answer_id, answer_question_id, answer_author_id, answer_url, answer_comment_num, answer_praise_num, answer_create_time, answer_content, answer_update_time, answer_crawl_time) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s) ON DUPLICATE KEY UPDATE answer_id=VALUES(answer_id),answer_question_id=VALUES(answer_question_id),answer_author_id=VALUES(answer_author_id),answer_url=VALUES(answer_url),answer_comment_num=VALUES(answer_comment_num),answer_praise_num=VALUES(answer_praise_num),answer_create_time=VALUES(answer_create_time),answer_content=VALUES(answer_content),answer_update_time=VALUES(answer_update_time),answer_crawl_time=VALUES(answer_crawl_time)"
79 
80         # 处理answer_item中的数据
81         # fromtimestamp(timestamp)：将一个时间戳数据转化为一个date日期类型的数据
82         answer_id = self[‘answer_id‘]
83         answer_question_id = self[‘answer_question_id‘]
84         answer_author_id = self[‘answer_author_id‘]
85         answer_url = self[‘answer_url‘]
86         answer_comment_num = self[‘answer_comment_num‘]
87         answer_praise_num = self[‘answer_praise_num‘]
88         answer_content = self[‘answer_content‘]
89         answer_create_time = datetime.fromtimestamp(self[‘answer_create_time‘])
90         answer_update_time = datetime.fromtimestamp(self[‘answer_update_time‘])
91         answer_crawl_time = self[‘answer_crawl_time‘]
92 
93         args_tuple = (answer_id, answer_question_id, answer_author_id, answer_url, answer_comment_num, answer_praise_num, answer_create_time, answer_content, answer_update_time, answer_crawl_time)
94 
95         return insert_sql, args_tuple

 1 # -*- coding: utf-8 -*-
 2 
 3 # Define your item pipelines here
 4 #
 5 # Don‘t forget to add your pipeline to the ITEM_PIPELINES setting
 6 # See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
 7 
 8 import MySQLdb
 9 import MySQLdb.cursors
10 from twisted.enterprise import adbapi
11 
12 # 数据库的异步写入操作。因为execute()及commit()提交数据库的方式是同步插入数据，一旦数据量比较大，scrapy的解析是异步多线程的方式，解析速度非常快，而数据库的写入速度比较慢，可能会导致item中的数据插入数据库不及时，造成数据库写入的阻塞，最终导致数据库卡死或者数据丢失。
13 
14 
15 class ZhihuspiderPipeline(object):
16     def process_item(self, item, spider):
17         return item
18 
19 
20 class MySQLTwistedPipeline(object):
21     def __init__(self, dbpool):
22         self.dbpool = dbpool
23 
24     @classmethod
25     def from_settings(cls, settings):
26         args = dict(
27             host=settings[‘MYSQL_HOST‘],
28             db=settings[‘MYSQL_DB‘],
29             user=settings[‘MYSQL_USER‘],
30             passwd=settings[‘MYSQL_PASSWD‘],
31             charset=settings[‘MYSQL_CHARSET‘],
32             cursorclass=MySQLdb.cursors.DictCursor
33         )
34         # 创建一个线程池对象
35         # 参数1：用于连接MySQL数据库的驱动
36         # 参数2：数据库的链接信息（host, port, user等）
37         dbpool = adbapi.ConnectionPool(‘MySQLdb‘, **args)
38         return cls(dbpool)
39 
40     def process_item(self, item, spider):
41         # 在线程池dbpool中通过调用runInteraction()函数，来实现异步插入数据的操作。runInteraction()会insert_sql交由线程池中的某一个线程执行具体的插入操作。
42         query = self.dbpool.runInteraction(self.insert, item)
43         # addErrorback()数据库异步写入失败时，会执行addErrorback()内部的函数调用。
44         query.addErrback(self.handle_error, item)
45 
46     def handle_error(self, failure, item):
47         print u‘插入数据失败，原因：{}，错误对象：{}‘.format(failure, item)
48 
49     def insert(self, cursor, item):
50         pass
51         # 当存在多张表时，每一个表对应的数据，解析时间是不确定的，不太可能保证问题，答案同时能够解析完成，并且同时进入到pipeline中执行Insert的操作。
52         # 所以，不能再这个函数中，对所有的表执行execute()的操作。
53         # 解决办法：将sql语句在每一个Item类中实现。
54         # insert_question = ‘‘
55         # insert_answer = ‘‘
56         # insert_user = ‘‘
57         insert_sql, args = item.get_insert_sql()
58         cursor.execute(insert_sql, args)

 1 # -*- coding: utf-8 -*-
 2 
 3 # Scrapy settings for ZhiHuSpider project
 4 #
 5 # For simplicity, this file contains only settings considered important or
 6 # commonly used. You can find more settings consulting the documentation:
 7 #
 8 #     https://doc.scrapy.org/en/latest/topics/settings.html
 9 #     https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
10 #     https://doc.scrapy.org/en/latest/topics/spider-middleware.html
11 
12 BOT_NAME = ‘ZhiHuSpider‘
13 
14 SPIDER_MODULES = [‘ZhiHuSpider.spiders‘]
15 NEWSPIDER_MODULE = ‘ZhiHuSpider.spiders‘
16 
17 
18 # Crawl responsibly by identifying yourself (and your website) on the user-agent
19 #USER_AGENT = ‘ZhiHuSpider (+http://www.yourdomain.com)‘
20 
21 # Obey robots.txt rules
22 ROBOTSTXT_OBEY = False
23 
24 # Configure maximum concurrent requests performed by Scrapy (default: 16)
25 #CONCURRENT_REQUESTS = 32
26 
27 # Configure a delay for requests for the same website (default: 0)
28 # See https://doc.scrapy.org/en/latest/topics/settings.html#download-delay
29 # See also autothrottle settings and docs
30 #DOWNLOAD_DELAY = 3
31 # The download delay setting will honor only one of:
32 #CONCURRENT_REQUESTS_PER_DOMAIN = 16
33 #CONCURRENT_REQUESTS_PER_IP = 16
34 
35 # Disable cookies (enabled by default)
36 #COOKIES_ENABLED = False
37 
38 # Disable Telnet Console (enabled by default)
39 #TELNETCONSOLE_ENABLED = False
40 
41 # Override the default request headers:
42 # DEFAULT_REQUEST_HEADERS = {
43 #   ‘Accept‘: ‘text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8‘,
44 #   ‘Accept-Language‘: ‘en‘,
45 # }
46 
47 # Enable or disable spider middlewares
48 # See https://doc.scrapy.org/en/latest/topics/spider-middleware.html
49 #SPIDER_MIDDLEWARES = {
50 #    ‘ZhiHuSpider.middlewares.ZhihuspiderSpiderMiddleware‘: 543,
51 #}
52 
53 # Enable or disable downloader middlewares
54 # See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
55 #DOWNLOADER_MIDDLEWARES = {
56 #    ‘ZhiHuSpider.middlewares.ZhihuspiderDownloaderMiddleware‘: 543,
57 #}
58 
59 # Enable or disable extensions
60 # See https://doc.scrapy.org/en/latest/topics/extensions.html
61 #EXTENSIONS = {
62 #    ‘scrapy.extensions.telnet.TelnetConsole‘: None,
63 #}
64 
65 # Configure item pipelines
66 # See https://doc.scrapy.org/en/latest/topics/item-pipeline.html
67 ITEM_PIPELINES = {
68    # ‘ZhiHuSpider.pipelines.ZhihuspiderPipeline‘: 300,
69     ‘ZhiHuSpider.pipelines.MySQLTwistedPipeline‘:1,
70 }
71 
72 # Enable and configure the AutoThrottle extension (disabled by default)
73 # See https://doc.scrapy.org/en/latest/topics/autothrottle.html
74 #AUTOTHROTTLE_ENABLED = True
75 # The initial download delay
76 #AUTOTHROTTLE_START_DELAY = 5
77 # The maximum download delay to be set in case of high latencies
78 #AUTOTHROTTLE_MAX_DELAY = 60
79 # The average number of requests Scrapy should be sending in parallel to
80 # each remote server
81 #AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
82 # Enable showing throttling stats for every response received:
83 #AUTOTHROTTLE_DEBUG = False
84 
85 # Enable and configure HTTP caching (disabled by default)
86 # See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
87 #HTTPCACHE_ENABLED = True
88 #HTTPCACHE_EXPIRATION_SECS = 0
89 #HTTPCACHE_DIR = ‘httpcache‘
90 #HTTPCACHE_IGNORE_HTTP_CODES = []
91 #HTTPCACHE_STORAGE = ‘scrapy.extensions.httpcache.FilesystemCacheStorage‘
92 
93 MYSQL_HOST = ‘localhost‘# 本机端口,
94 MYSQL_DB = ‘‘      #数据库名字
95 MYSQL_USER = ‘‘    #数据库用户名
96 MYSQL_PASSWD = ‘‘  #密码
97 MYSQL_CHARSET = ‘utf8‘

1 import re
2 
3 
4 def extract_num(value):
5     result = re.search(re.compile(‘(\d+)‘), value)
6     res = int(result.group(1))
7     return res