From 0f19b236343763683662180126636a6a7687ab33 Mon Sep 17 00:00:00 2001 From: jackfrued Date: Sun, 3 Jun 2018 23:51:18 +0800 Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=E4=BA=86Scrapy=E7=9A=84?= =?UTF-8?q?=E7=9B=B8=E5=85=B3=E6=96=87=E6=A1=A3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Day66-75/05.解析动态内容.md | 12 + Day66-75/06.表单交互和验证码处理.md | 34 +++ Day66-75/Scrapy的应用01.md | 223 +++++++++++++++++- Day66-75/res/scrapy-architecture.jpg | Bin 55810 -> 0 bytes Day66-75/res/scrapy-architecture.png | Bin 0 -> 53978 bytes Day66-75/res/tesseract.gif | Bin 0 -> 810186 bytes 6 files changed, 265 insertions(+), 4 deletions(-) delete mode 100644 Day66-75/res/scrapy-architecture.jpg create mode 100644 Day66-75/res/scrapy-architecture.png create mode 100644 Day66-75/res/tesseract.gif diff --git a/Day66-75/05.解析动态内容.md b/Day66-75/05.解析动态内容.md index e69de29..821f23f 100644 --- a/Day66-75/05.解析动态内容.md +++ b/Day66-75/05.解析动态内容.md @@ -0,0 +1,12 @@ +## 解析动态内容 + +### JavaScript逆向工程 + + + +### 使用Selenium + + + + + diff --git a/Day66-75/06.表单交互和验证码处理.md b/Day66-75/06.表单交互和验证码处理.md index e69de29..673410f 100644 --- a/Day66-75/06.表单交互和验证码处理.md +++ b/Day66-75/06.表单交互和验证码处理.md @@ -0,0 +1,34 @@ +## 表单交互和验证码处理 + +### 提交表单 + +#### 手动提交 + + + +#### 自动提交 + + + +### 验证码处理 + +#### 加载验证码 + + + +#### 光学字符识别 + +光学字符识别(OCR)是从图像中抽取文本的工具,可以应用于公安、电信、物流、金融等诸多行业,例如识别车牌,身份证扫描识别、名片信息提取等。在爬虫开发中,如果遭遇了有文字验证码的表单,就可以利用OCR来进行验证码处理。Tesseract-OCR引擎最初是由惠普公司开发的光学字符识别系统,目前发布在Github上,由Google赞助开发。 + +![](./res/tesseract.gif) + +#### 改善OCR + + + +#### 处理更复杂的验证码 + + + +#### 验证码处理服务 + diff --git a/Day66-75/Scrapy的应用01.md b/Day66-75/Scrapy的应用01.md index e66f5ff..644d460 100644 --- a/Day66-75/Scrapy的应用01.md +++ b/Day66-75/Scrapy的应用01.md @@ -2,9 +2,9 @@ ### Scrapy概述 -Scrapy是Python开发的一个非常流行的网络爬虫框架,可以用来抓取Web站点并从页面中提取结构化的数据,被广泛的用于数据挖掘、数据监测和自动化测试等领域。下图展示了Scrapy的基本架构,其中包含了主要组件和系统的数据处理流程(图中的绿色箭头)。 +Scrapy是Python开发的一个非常流行的网络爬虫框架,可以用来抓取Web站点并从页面中提取结构化的数据,被广泛的用于数据挖掘、数据监测和自动化测试等领域。下图展示了Scrapy的基本架构,其中包含了主要组件和系统的数据处理流程(图中带数字的红色箭头)。 -![](./res/scrapy-architecture.jpg) +![](./res/scrapy-architecture.png) #### 组件 @@ -20,14 +20,22 @@ Scrapy是Python开发的一个非常流行的网络爬虫框架,可以用来 Scrapy的整个数据处理流程由Scrapy引擎进行控制,通常的运转流程包括以下的步骤: 1. 引擎询问蜘蛛需要处理哪个网站,并让蜘蛛将第一个需要处理的URL交给它。 + 2. 引擎让调度器将需要处理的URL放在队列中。 + 3. 引擎从调度那获取接下来进行爬取的页面。 + 4. 调度将下一个爬取的URL返回给引擎,引擎将它通过下载中间件发送到下载器。 + 5. 当网页被下载器下载完成以后,响应内容通过下载中间件被发送到引擎;如果下载失败了,引擎会通知调度器记录这个URL,待会再重新下载。 + 6. 引擎收到下载器的响应并将它通过蜘蛛中间件发送到蜘蛛进行处理。 + 7. 蜘蛛处理响应并返回爬取到的数据条目,此外还要将需要跟进的新的URL发送给引擎。 + 8. 引擎将抓取到的数据条目送入条目管道,把新的URL发送给调度器放入队列中。 -9. 上述操作会一直重复直到调度器中没有需要请求的URL,爬虫停止工作。 + +上述操作中的2-8步会一直重复直到调度器中没有需要请求的URL,爬虫停止工作。 ### 安装和使用Scrapy @@ -45,7 +53,7 @@ $ (venv) $ tree . |____ scrapy.cfg -|____ qianmu +|____ douban | |____ spiders | | |____ __init__.py | | |____ __pycache__ @@ -68,9 +76,216 @@ $ 根据刚才描述的数据处理流程,基本上需要我们做的有以下几件事情: 1. 在items.py文件中定义字段,这些字段用来保存数据,方便后续的操作。 + + ```Python + + # -*- coding: utf-8 -*- + + # Define here the models for your scraped items + # + # See documentation in: + # https://doc.scrapy.org/en/latest/topics/items.html + + import scrapy + + + class DoubanItem(scrapy.Item): + + name = scrapy.Field() + year = scrapy.Field() + score = scrapy.Field() + director = scrapy.Field() + classification = scrapy.Field() + actor = scrapy.Field() + ``` + 2. 在spiders文件夹中编写自己的爬虫。 + + ```Python + + # -*- coding: utf-8 -*- + import scrapy + from scrapy.selector import Selector + from scrapy.linkextractors import LinkExtractor + from scrapy.spiders import CrawlSpider, Rule + + from douban.items import DoubanItem + + + class MovieSpider(CrawlSpider): + name = 'movie' + allowed_domains = ['movie.douban.com'] + start_urls = ['https://movie.douban.com/top250'] + rules = ( + Rule(LinkExtractor(allow=(r'https://movie.douban.com/top250\?start=\d+.*'))), + Rule(LinkExtractor(allow=(r'https://movie.douban.com/subject/\d+')), callback='parse_item'), + ) + + def parse_item(self, response): + sel = Selector(response) + item = DoubanItem() + item['name']=sel.xpath('//*[@id="content"]/h1/span[1]/text()').extract() + item['year']=sel.xpath('//*[@id="content"]/h1/span[2]/text()').re(r'\((\d+)\)') + item['score']=sel.xpath('//*[@id="interest_sectl"]/div/p[1]/strong/text()').extract() + item['director']=sel.xpath('//*[@id="info"]/span[1]/a/text()').extract() + item['classification']= sel.xpath('//span[@property="v:genre"]/text()').extract() + item['actor']= sel.xpath('//*[@id="info"]/span[3]/a[1]/text()').extract() + return item + + ``` + 3. 在pipelines.py中完成对数据进行持久化的操作。 + + ```Python + + # -*- coding: utf-8 -*- + + # Define your item pipelines here + # + # Don't forget to add your pipeline to the ITEM_PIPELINES setting + # See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html + import pymongo + + from scrapy.exceptions import DropItem + from scrapy.conf import settings + from scrapy import log + + + class DoubanPipeline(object): + + def __init__(self): + connection = pymongo.MongoClient(settings['MONGODB_SERVER'], settings['MONGODB_PORT']) + db = connection[settings['MONGODB_DB']] + self.collection = db[settings['MONGODB_COLLECTION']] + + def process_item(self, item, spider): + #Remove invalid data + valid = True + for data in item: + if not data: + valid = False + raise DropItem("Missing %s of blogpost from %s" %(data, item['url'])) + if valid: + #Insert data into database + new_moive=[{ + "name":item['name'][0], + "year":item['year'][0], + "score":item['score'], + "director":item['director'], + "classification":item['classification'], + "actor":item['actor'] + }] + self.collection.insert(new_moive) + log.msg("Item wrote to MongoDB database %s/%s" % + (settings['MONGODB_DB'], settings['MONGODB_COLLECTION']), + level=log.DEBUG, spider=spider) + return item + + ``` + 4. 修改settings.py文件对项目进行配置。 + ```Python + + # -*- coding: utf-8 -*- + + # Scrapy settings for douban project + # + # For simplicity, this file contains only settings considered important or + # commonly used. You can find more settings consulting the documentation: + # + # https://doc.scrapy.org/en/latest/topics/settings.html + # https://doc.scrapy.org/en/latest/topics/downloader-middleware.html + # https://doc.scrapy.org/en/latest/topics/spider-middleware.html + + BOT_NAME = 'douban' + + SPIDER_MODULES = ['douban.spiders'] + NEWSPIDER_MODULE = 'douban.spiders' + + + # Crawl responsibly by identifying yourself (and your website) on the user-agent + USER_AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_3) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.54 Safari/536.5' + + # Obey robots.txt rules + ROBOTSTXT_OBEY = True + + # 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://doc.scrapy.org/en/latest/topics/settings.html#download-delay + # See also autothrottle settings and docs + DOWNLOAD_DELAY = 3 + RANDOMIZE_DOWNLOAD_DELAY = True + # 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 + + MONGODB_SERVER = '120.77.222.217' + MONGODB_PORT = 27017 + MONGODB_DB = 'douban' + MONGODB_COLLECTION = 'movie' + + # 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://doc.scrapy.org/en/latest/topics/spider-middleware.html + # SPIDER_MIDDLEWARES = { + # 'douban.middlewares.DoubanSpiderMiddleware': 543, + # } + + # Enable or disable downloader middlewares + # See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html + # DOWNLOADER_MIDDLEWARES = { + # 'douban.middlewares.DoubanDownloaderMiddleware': 543, + # } + + # Enable or disable extensions + # See https://doc.scrapy.org/en/latest/topics/extensions.html + # EXTENSIONS = { + # 'scrapy.extensions.telnet.TelnetConsole': None, + # } + + # Configure item pipelines + # See https://doc.scrapy.org/en/latest/topics/item-pipeline.html + ITEM_PIPELINES = { + 'douban.pipelines.DoubanPipeline': 400, + } + + LOG_LEVEL = 'DEBUG' + + # Enable and configure the AutoThrottle extension (disabled by default) + # See https://doc.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://doc.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' + ``` + diff --git a/Day66-75/res/scrapy-architecture.jpg b/Day66-75/res/scrapy-architecture.jpg deleted file mode 100644 index 403f963e3f06752b3df97a56a3830ccb116a1b80..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 55810 zcmce72UJtt(soc$KtY4jdlGt4LI(krnovWPuJlks?;xmjLhrqo(3BQBNbjN$dQo}@ zmEPp%z4v?nd%ySIZ>{^S^{@YA=d4pEvnR9n*)#LZoU6&J?|=tzS(q#U4-WvqyZ!*K zW&l!v8+d9P=#TCC=-yqT zdw-n#!Q}5hy@7x8CO*-f+jss(^1s?$eF6Xp@OE!B-NXX{ZUFIa0`aao0rb~GUJG;c zTGT(cI|TT*ZxQ0%xJh(<-|+zefPXFTP5cK04+!rN+`ax^H*Vg-zkP=QNXqn(_c`Gs z5aKl%IVBkSLQUJj^=))~LiGp*m7uVQR^=!WHH1&c*wN)(Ty{m(SKJuCx`~r>Volp3 zvyhamTTG6r`TN-X_Rb$HYyvWJnr0S(xgFPi(p_s05C2+Qe@X-Z+`8`ck3I>nZ>s?T 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