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首先创建一个爬虫文件dgrds.py
- # -*- coding: utf-8 -*-
- import scrapy
- from scrapy_redis.spiders import RedisSpider
- class DgrdsSpider(RedisSpider):
- name = 'dgrds'
- redis_key = 'dgrds:start_urls'
-
- def parse(self, response):
- for i in range(2499930, 2499940):
- yield scrapy.Request('https://www.douguo.com/cookbook/' + str(i) + '.html', callback=self.parse2)
-
- def parse2(self, response):
- if (response.status == 200):
- title = response.css('.rinfo h1.title::text').get('')
- view_nums = response.css('.vcnum span:first-of-type::text').get('')
- collection_nums = response.css('.vcnum .collectnum::text').get('')
- user_name = response.css('.author-info .nickname::text').get('')
- user_image = response.css('.author-img img::attr(src)').get('')
- tags = ''
- tag_arr = response.css('.fenlei span')
- if tag_arr is not None:
- for tg in tag_arr:
- tags += ';' + tg.css('a::text').get('')
- basic_url = ''
- youku = ''
- id = 0
- isvideo = response.css('#banner + a')
- if isvideo is not None:
- next_url = response.css('#banner + a::attr(href)').get('')
- id = next_url.replace('/recipevideo/', '')
- basic_url = 'https://www.douguo.com/cookbook/' + id + '.html'
- item = {
- 'cate': '',
- 'title': title,
- 'view_nums': view_nums,
- 'collection_nums': collection_nums,
- 'user_name': user_name,
- 'user_image': user_image,
- 'tags': tags,
- 'basic_url': basic_url
- }
- yield scrapy.Request(response.urljoin(next_url), meta=item, callback=self.parse4)
-
- def parse4(self, response):
- url = response.css('embed::attr(src)').get('')
- item = {
- 'cate': response.meta['cate'],
- 'title': response.meta['title'],
- 'view_nums': response.meta['view_nums'],
- 'collection_nums': response.meta['collection_nums'],
- 'user_name': response.meta['user_name'],
- 'user_image': response.meta['user_image'],
- 'tags': response.meta['tags'],
- 'basic_url': response.meta['basic_url']
- }
- item['video_url'] = url
- yield item
然后修改setting.py配置文件
- # -*- coding: utf-8 -*-
-
- # Scrapy settings for dgredis project
- #
- # For simplicity, this file contains only settings considered important or
- # commonly used. You can find more settings consulting the documentation:
- #
- # https://docs.scrapy.org/en/latest/topics/settings.html
- # https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
- # https://docs.scrapy.org/en/latest/topics/spider-middleware.html
-
- BOT_NAME = 'dgredis'
-
- SPIDER_MODULES = ['dgredis.spiders']
- NEWSPIDER_MODULE = 'dgredis.spiders'
-
-
- # Crawl responsibly by identifying yourself (and your website) on the user-agent
- #USER_AGENT = 'dgredis (+http://www.yourdomain.com)'
-
- # Obey robots.txt rules
- ROBOTSTXT_OBEY = False
-
- # Configure maximum concurrent requests performed by Scrapy (default: 16)
- #CONCURRENT_REQUESTS = 32
-
- # Configure a delay for requests for the same website (default: 0)
- # See https://docs.scrapy.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 = 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 https://docs.scrapy.org/en/latest/topics/spider-middleware.html
- #SPIDER_MIDDLEWARES = {
- # 'dgredis.middlewares.DgredisSpiderMiddleware': 543,
- #}
-
- # Enable or disable downloader middlewares
- # See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
- #DOWNLOADER_MIDDLEWARES = {
- # 'dgredis.middlewares.DgredisDownloaderMiddleware': 543,
- #}
-
- # Enable or disable extensions
- # See https://docs.scrapy.org/en/latest/topics/extensions.html
- #EXTENSIONS = {
- # 'scrapy.extensions.telnet.TelnetConsole': None,
- #}
-
- # Configure item pipelines
- # See https://docs.scrapy.org/en/latest/topics/item-pipeline.html
- ITEM_PIPELINES = {
- 'dgredis.pipelines.DgredisPipeline': 300,
- 'scrapy_redis.pipelines.RedisPipeline': 400,
- }
-
- # Enable and configure the AutoThrottle extension (disabled by default)
- # See https://docs.scrapy.org/en/latest/topics/autothrottle.html
- #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
- # The average number of requests Scrapy should be sending in parallel to
- # each remote server
- #AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
- # Enable showing throttling stats for every response received:
- #AUTOTHROTTLE_DEBUG = False
-
- # Enable and configure HTTP caching (disabled by default)
- # See https://docs.scrapy.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'
- MYSQL_HOST = '127.0.0.1'
- MYSQL_PORT = '3306'
- MYSQL_USER = 'root'
- MYSQL_PASS = ''
- MYSQL_DB = 'test'
- HTTPERROR_ALLOWED_CODES = [404, 301]
- DUPEFILTER_CLASS = "scrapy_redis.dupefilter.RFPDupeFilter"
- SCHEDULER = "scrapy_redis.scheduler.Scheduler"
- SCHEDULER_PERSIST = True
- #SCHEDULER_QUEUE_CLASS = "scrapy_redis.queue.SpiderPriorityQueue"
- #SCHEDULER_QUEUE_CLASS = "scrapy_redis.queue.SpiderQueue"
- #SCHEDULER_QUEUE_CLASS = "scrapy_redis.queue.SpiderStack"
-
- LOG_LEVEL = 'DEBUG'
-
- # Introduce an artifical delay to make use of parallelism. to speed up the
- # crawl.
- DOWNLOAD_DELAY = 1
然后修改管道文件pipeline.py
- # -*- coding: utf-8 -*-
-
- # Define your item pipelines here
- #
- # Don't forget to add your pipeline to the ITEM_PIPELINES setting
- # See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
- import pymysql
- from twisted.enterprise import adbapi
-
- class DgredisPipeline:
- def __init__(self, dbpool):
- self.dbpool = dbpool
-
- @classmethod
- def from_settings(cls, settings):
- adbparams = dict(
- host=settings['MYSQL_HOST'],
- db=settings['MYSQL_DB'],
- user=settings['MYSQL_USER'],
- password=settings['MYSQL_PASS'],
- charset='utf8',
- cursorclass=pymysql.cursors.DictCursor
- )
- dbpool = adbapi.ConnectionPool('pymysql', **adbparams)
- return cls(dbpool)
-
- def process_item(self, item, spider):
- query = self.dbpool.runInteraction(self.do_insert, item) # 指定操作方法和操作数据
- # 添加异常处理
- query.addCallback(self.handle_error) # 处理异常
-
- def do_insert(self, cursor, item):
- # 对数据库进行插入操作,并不需要commit,twisted会自动commit
- insert_sql = """
- insert into douguoaa(title,user_name,user_image,view_nums,collection_nums,basic_url,video_url,tags,cate_name) VALUES(%s,%s,%s,%s,%s,%s,%s,%s,%s)
- """
- cursor.execute(insert_sql, (
- item['title'], item['user_name'], item['user_image'], item['view_nums'], item['collection_nums'],
- item['basic_url'],
- item['video_url'], item['tags'], item['cate']))
-
- def handle_error(self, failure):
- if failure:
- print(failure)
修改完这三个文件就可以支持分布式爬取。去重。异步写入数据库功能了
cd切换到爬虫项目的spider文件夹,执行命令 scrapy runspider dgrds.py ,这时候爬虫出去等待发送指令状态
然后在redis-cli端发送爬取指令,也就是指定start_urls,命令:lpush dgrds:start_urls http://www.douguo.com,点击回车后上面的图片代码接收到指令后会自动执行爬取
这个是基础爬虫文件,规则爬取crawSpider跟这个类似,只需指定Rule规则即可
That's All
Thanks!
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