這篇筆記基於上上篇筆記的---《scrapy電影天堂實戰(二)建立爬蟲項目》,而這篇又涉及redis,因此又先熟悉了下redis,記錄了下《redis基礎筆記》,這篇爲了節省篇幅因此只添加改動部分代碼。html
在pipeline寫個redispipeline,要爬的內容hash後的鍵movie_hash
經過pipeline時與從redis獲取的movie_hash
(set類型)比對,若是在redis
裏面則在pipeline裏raise DropItem
將這個item去掉,在經過pipeline的mysqlpipeline存入數據庫時就不會有重複數據了。python
雖然沒有重複數據了,可是不能增量爬取,一旦中止了爬蟲,又會從頭爬取,效率很低。想到在downloader middleware
中增長對request和response的url進行處理將它放到redis,而後比對,有在redis裏面就raise IgnoreRequest
忽略掉這個請求,測試也的確忽略了,但其實仍是從頭開始爬取,只不過忽略了這個請求,效率並無提高多少,好像並非增量爬取。最後默默刪掉本身的代碼。。。mysql
折騰了許久,熬不住了,仍是求助吧。其實以前google就搜到了一個scrapy-redis的開源項目就實現了這些功能,但本身試了下沒有實現效果(我本身的問題),因此想找本書系統看看scrapy,而後就找了下python scrapy相關的pdf(窮逼買不起書)。找到了一本也引用了scrapy-redis這個項目的書,什麼書就不說了,尊重別人的勞動,土豪另當別論。按照書裏的配置了下,過濾重複數據是ok了,但增量爬取死活不行,一旦中止、從新爬取,它只會將redis裏面的requests爬完就完了,以後再重啓爬蟲都不會有新的requests生成了。又折騰了許久,在某個羣裏有個大佬回答了,將爬取page的連接的yield那設置dont_filter = True
,本身設置測試了下,的確實現了增量爬取。再次感謝那位大佬的幫助。git
具體查看《redis基礎筆記》的使用redis鏡像
這裏的方法,這裏再也不贅述。github
修改settings.py添加配置,完整配置查看:https://github.com/rmax/scrapy-redis#usageredis
###### scrapy-redis settings start ###### # https://github.com/rmax/scrapy-redis # Enables scheduling storing requests queue in redis. SCHEDULER = "scrapy_redis.scheduler.Scheduler" # Ensure all spiders share same duplicates filter through redis. DUPEFILTER_CLASS = "scrapy_redis.dupefilter.RFPDupeFilter" # Specify the full Redis URL for connecting (optional). # If set, this takes precedence over the REDIS_HOST and REDIS_PORT settings. REDIS_URL = 'redis://:123123@192.168.229.128:8889' # Don't cleanup redis queues, allows to pause/resume crawls. SCHEDULER_PERSIST = True ###### scrapy-redis settings end ######
我一開始引用了scrapy-redis不成功的緣由是我將這個參數設置成了
dont_filter = False
,還有就是爬取下一頁和詳情頁的順序反了,應該先爬頁連接在爬詳情頁。sql
def parse(self, response): item = MovieHeavenBarItem() domain = "https://www.dytt8.net" # 爬取下一頁 last_page_num = response.xpath('//select[@name="sldd"]//option[last()]/text()').extract()[0] last_page_url = 'list_23_' + last_page_num + '.html' next_page_url = response.xpath('//div[@class="x"]//a[last() - 1]/@href').extract()[0] next_page_num = next_page_url.split('_')[-1].split('.')[0] if next_page_url != last_page_url: url = 'https://www.dytt8.net/html/gndy/dyzz/' + next_page_url logging.log(logging.INFO, f'***************** crawling page {next_page_num} ***************** ') yield Request(url=url, callback=self.parse, meta={'item': item}, dont_filter = True) # 爬取詳情頁 urls = response.xpath('//b/a/@href').extract() # list type #print('urls', urls) for url in urls: url = domain + url yield Request(url=url, callback=self.parse_single_page, meta={'item': item}, dont_filter = False)
2019-07-24 09:45:31 [scrapy.crawler] INFO: Received SIGINT, shutting down gracefully. Send again to force
從中能夠看到我按了兩次ctrl+c強行中止了爬蟲,在這以前是在爬取這個連接的2019-07-24 09:45:30 [root] INFO: movie_link: https://www.dytt8.net/html/gndy/dyzz/20180826/57328.html
,而後我從新啓動爬蟲看到接着爬取這個連接了2019-07-24 09:46:03 [root] INFO: crawling url: https://www.dytt8.net/html/gndy/dyzz/20180718/57146.html
數據庫
忽略部分... 2019-07-24 09:45:30 [root] INFO: crawling url: https://www.dytt8.net/html/gndy/dyzz/20180826/57328.html 2019-07-24 09:45:30 [root] INFO: **************** movie detail log **************** 2019-07-24 09:45:30 [root] INFO: movie_link: https://www.dytt8.net/html/gndy/dyzz/20180826/57328.html 2019-07-24 09:45:30 [root] INFO: movie_name: 金蟬脫殼2/金蟬脫殼2:冥府 2019-07-24 09:45:30 [root] INFO: movie_publish_date: 2018-06-13(菲律賓)/2018-06-29(中國)/2018-06-29(美國) 2019-07-24 09:45:30 [root] INFO: movie_score: 4.0/10 from 1,180 users 2019-07-24 09:45:30 [root] INFO: movie_directors: 史蒂芬·C·米勒 Steven C. Miller 2019-07-24 09:45:30 [root] INFO: ***************** commit to mysql ***************** 2019-07-24 09:45:31 [scrapy.crawler] INFO: Received SIGINT, shutting down gracefully. Send again to force 2019-07-24 09:45:31 [scrapy.core.engine] INFO: Closing spider (shutdown) 2019-07-24 09:45:58 [scrapy.extensions.telnet] INFO: Telnet Password: 4e5dbb60f52f81fe 2019-07-24 09:45:58 [scrapy.middleware] INFO: Enabled extensions: ['scrapy.extensions.corestats.CoreStats', 'scrapy.extensions.telnet.TelnetConsole', 'scrapy.extensions.memusage.MemoryUsage', 'scrapy.extensions.logstats.LogStats'] 2019-07-24 09:45:58 [scrapy.middleware] INFO: Enabled downloader middlewares: ['scrapy.downloadermiddlewares.robotstxt.RobotsTxtMiddleware', 'scrapy.downloadermiddlewares.httpauth.HttpAuthMiddleware', 'scrapy.downloadermiddlewares.downloadtimeout.DownloadTimeoutMiddleware', 'scrapy.downloadermiddlewares.defaultheaders.DefaultHeadersMiddleware', 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware', 'movie_heaven_bar.middlewares.MovieHeavenBarDownloaderMiddleware', 'scrapy.downloadermiddlewares.retry.RetryMiddleware', 'scrapy.downloadermiddlewares.redirect.MetaRefreshMiddleware', 'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware', 'scrapy.downloadermiddlewares.redirect.RedirectMiddleware', 'scrapy.downloadermiddlewares.cookies.CookiesMiddleware', 'scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware', 'scrapy.downloadermiddlewares.stats.DownloaderStats'] 2019-07-24 09:45:58 [scrapy.middleware] INFO: Enabled spider middlewares: ['scrapy.spidermiddlewares.httperror.HttpErrorMiddleware', 'scrapy.spidermiddlewares.offsite.OffsiteMiddleware', 'scrapy.spidermiddlewares.referer.RefererMiddleware', 'scrapy.spidermiddlewares.urllength.UrlLengthMiddleware', 'scrapy.spidermiddlewares.depth.DepthMiddleware'] 2019-07-24 09:45:58 [scrapy.middleware] INFO: Enabled item pipelines: ['movie_heaven_bar.pipelines.MovieHeavenBarPipeline'] 2019-07-24 09:45:58 [scrapy.core.engine] INFO: Spider opened 2019-07-24 09:45:58 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min) 2019-07-24 09:45:58 [newest_movie] INFO: Spider opened: newest_movie 2019-07-24 09:45:58 [scrapy.extensions.telnet] INFO: Telnet console listening on 127.0.0.1:6023 2019-07-24 09:46:03 [root] INFO: crawling url: https://www.dytt8.net/html/gndy/dyzz/20180718/57146.html 2019-07-24 09:46:03 [root] INFO: **************** movie detail log **************** 2019-07-24 09:46:03 [root] INFO: movie_link: https://www.dytt8.net/html/gndy/dyzz/20180718/57146.html 2019-07-24 09:46:03 [root] INFO: movie_name: Operation Red Sea 2019-07-24 09:46:03 [root] INFO: movie_publish_date: 2018-02-16(中國) 2019-07-24 09:46:03 [root] INFO: movie_score: 8.3/10 from 433,101 users 2019-07-24 09:46:03 [root] INFO: movie_directors: 林超賢 Dante Lam 2019-07-24 09:46:03 [root] INFO: movie_actors: 張譯 Yi Zhang , 黃景瑜 Jingyu Huang , 海清 Hai-Qing , 杜江 Jiang Du , 蔣璐霞 Luxia Jiang , 尹昉 Fang Yin , 王強 Qiang Wang , 郭鬱濱 Yubin Guo , 王雨甜 Yutian Wang , 麥亨利 Henry Mai , 張涵>予 Hanyu Zhang , 王彥霖 Yanlin Wang 2019-07-24 09:46:03 [root] INFO: movie_download_link: magnet:?xt=urn:btih:3c1188fdbec2f63ce1e30d2061913fcba15ebb90&dn=%e9%98%b3%e5%85%89%e7%94%b5%e5%bd%b1www.ygdy8.com.%e7%ba%a2%e6%b5%b7%e8%a1%8c%e5%8a%a8.BD.720p.%e5%9b%bd%e8%af%ad%e4%b8%ad%e5%ad%97.mkv&tr=udp%3a%2f%2ftracker.leechers-paradise.org%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce&tr=udp%3a%2f%2feddie4.nl%3a6969%2fannounce&tr=udp%3a%2f%2fshadowshq.eddie4.nl%3a6969%2fannounce 2019-07-24 09:46:03 [root] INFO: ***************** commit to mysql ***************** 忽略部分...
scrapy-redis 會在redis生成兩個set,用於存儲請求有序集合requests和過濾連接無序集合dupefilter,當請求消費完了,有序集合requests就會被幹掉,直到有新請求時才從新生成,若是未消費完就一直追加。而無序集合dupefilter因爲設置了
SCHEDULER_PERSIST = True
就不會被幹掉,有新的請求就會追加進來。cookie
root@fa2b076097e9:/data# redis-cli 127.0.0.1:6379> AUTH 123123 OK 127.0.0.1:6379> KEYS * 1) "newest_movie:requests" 2) "newest_movie:dupefilter" 127.0.0.1:6379> TYPE newest_movie:requests zset 127.0.0.1:6379> TYPE newest_movie:dupefilter set 127.0.0.1:6379> ZCARD newest_movie:requests (integer) 47 127.0.0.1:6379> ZCARD newest_movie:requests (integer) 45 127.0.0.1:6379> ZCARD newest_movie:requests (integer) 0 忽略部分... 127.0.0.1:6379> KEYS * 1) "newest_movie:dupefilter" 127.0.0.1:6379> SCARD newest_movie:dupefilter (integer) 775 127.0.0.1:6379> ZRANGE newest_movie:requests 0 -1 1) "\x80\x04\x95\x7f\x01\x00\x00\x00\x00\x00\x00}\x94(\x8c\x03url\x94\x8c8https://www.dytt8.net/html/gndy/dyzz/20180107/56002.html\x94\x8c\bcallback\x94\x8c\x11parse_single_page\x94\x8c\aerrback\x94N\x8c\x06method\x94\x8c\x03GET\x94\x8c\aheaders\x94}\x94C\aReferer\x94]\x94C4https://www.dytt8.net/html/gndy/dyzz/list_23_31.html\x94as\x8c\x04body\x94C\x00\x94\x8c\acookies\x94}\x94\x8c\x04meta\x94}\x94(\x8c\x04item\x94\x8c\x16movie_heaven_bar.items\x94\x8c\x12MovieHeavenBarItem\x94\x93\x94)\x81\x94}\x94\x8c\a_values\x94}\x94sb\x8c\x05depth\x94K\x1fu\x8c\t_encoding\x94\x8c\x05utf-8\x94\x8c\bpriority\x94K\x00\x8c\x0bdont_filter\x94\x89\x8c\x05flags\x94]\x94u." 2) "\x80\x04\x95\x7f\x01\x00\x00\x00\x00\x00\x00}\x94(\x8c\x03url\x94\x8c8https://www.dytt8.net/html/gndy/dyzz/20180108/56021.html\x94\x8c\bcallback\x94\x8c\x11parse_single_page\x94\x8c\aerrback\x94N\x8c\x06method\x94\x8c\x03GET\x94\x8c\aheaders\x94}\x94C\aReferer\x94]\x94C4https://www.dytt8.net/html/gndy/dyzz/list_23_31.html\x94as\x8c\x04body\x94C\x00\x94\x8c\acookies\x94}\x94\x8c\x04meta\x94}\x94(\x8c\x04item\x94\x8c\x16movie_heaven_bar.items\x94\x8c\x12MovieHeavenBarItem\x94\x93\x94)\x81\x94}\x94\x8c\a_values\x94}\x94sb\x8c\x05depth\x94K\x1fu\x8c\t_encoding\x94\x8c\x05utf-8\x94\x8c\bpriority\x94K\x00\x8c\x0bdont_filter\x94\x89\x8c\x05flags\x94]\x94u." 忽略部分... 127.0.0.1:6379> SMEMBERS newest_movie:dupefilter 1) "1bff65c147e71ea6d43b7e4a4ac86fc982375939" 2) "9d99491255ee83dd4ffb72c3c59c17c938dbe08f" 忽略部分...
將數據庫數據導出到excel發現500條記錄仍是有4條重複值,這多是我屢次測試強行中止致使,因此也算是基本實現了過濾重複數據,增量爬取數據的功能了。dom
這個項目基本功能是實現了,但仍是有寫細節要處理下,並且scrapy-redis的原理還不瞭解,下一篇就瞭解下scrapy-redis的原理。