python数据分析案例2-1：Python练习-Python爬虫框架Scrapy入门与实践
本文建立在学习完大壮老师视频Python最火爬虫框架Scrapy入门与实践,自己一步一步操作后做一个记录(建议跟我一样的新手都一步一步进行操作).
主要介绍:
1、scrapy框架简介、数据在框架内如何进行流动
2、scrapy框架安装、mongodb数据库安装
3、scrapy抓取项目如何创建
4、scrapy抓取项目如何进行数据解析
5、scrapy抓取项目如何绕过反爬机制抓取数据
6、scrapy抓取项目如何存储数据到不同的格式
=
抓取目标:
本文通过网页豆瓣电影排行数据的抓取和清洗,介绍Python使用
豆瓣电影排行
大壮老师介绍:
目前任职于某大型互联网公司人工智能中心。Python开发工程师，主要负责汽车简历数据抓取、商业推广平台数据抓取及接口开发、竞品信息数据抓取等工作。 开发语言：python、autoit。项目中主要使用工具requests 多线程抓取网页系统数据，使用autoit抓取软件系统数据，使用appium抓取app系统数据等。使用scrapy进行大数据量信息抓取。
准备工作:
1、具有一定的Python基础
2、具有一定的linux系统管理基础，编译安装软件，yum包管理工具等
3、具有一定数据库管理基础，增删改查
4、了解xpath语法和插件的使用方法
代码下载地址:Python爬虫框架Scrapy入门与实践
注意:
文件middlewares.py 中下面信息需要改为有效信息:
request.meta['proxy'] = 'http-cla.abuyun.com:9030'
proxy_name_pass = b'H622272STYB666BW:F78990HJSS7'
如果么有购买,测试功能需要取消该方法:
修改settings.py文件:注释douban.middlewares.my_proxy:
DOWNLOADER_MIDDLEWARES = { #'douban.middlewares.my_proxy': 543,}
操作 1 : 通过Pycharm CE 创建一个项目scrapy_douban
创建前需要安装好相应的环境和软件:
环境配置,安装
A : 安装Anaconda (包含Python环境,Conda,numpy,pandas 等大量依赖包) :
下载地址1:Anaconda 下载1
下载地址2(国内推荐): 清华大学开源镜像 Anaconda 下载
选择包 : 分别对应有Mac , windows, linux 包, 根据设备选择,
比如我的是win10-64bit : Anaconda3-5.3.1-Windows-x86_64.exe
Anaconda5.3
下载开发工具->PyCharm
logo如下:
PyCharm
创建项目: 下面选择Python方式是创建一个新的目录管理第三方源, 后面可能需要手动导入需要的包
图片.png
创建后就会自动生成项目,并导入初始化环境, 然后就可以创建代码了:
图片.png
操作 2 : 在pycharm的terminal里初始化
(下面调试是在win10系统进行,其他系统可能有点小区别)
在在pycharm的terminal里输入scrapy，有相关信息输出表示scrapy运行正常；
我这里出了一点问题，搞了几个小时，记录在这里：
scrapy不是批处理命令https://blog.csdn.net/childbor/article/details/107852133
最后终于搞好了：
直接在pycharm的terminal里初始化一个项目douban:
scrapy startproject douban
终端效果如下:New Scrapy project 'douban', using template directory 'C:\Users\Rechard\AppData\Roaming\Python\Python38\site-
packages\scrapy\templates\project', created in:
D:\SW_dvp\python\practice\scrapyprac\douban
You can start your first spider with:
cd douban
scrapy genspider example example.com
操作 3 : 修改settings.py设置文件:
# Obey robots.txt rules不遵守此协议
ROBOTSTXT_OBEY = False
#下载延时
DOWNLOAD_DELAY = 0.5操作 4 : 生成初始化文件:
D:\SW_dvp\python\practice\scrapyprac\douban>cd douban
D:\SW_dvp\python\practice\scrapyprac\douban\douban>dir
驱动器 D 中的卷是 新加卷
卷的序列号是 BE92-2BF3
D:\SW_dvp\python\practice\scrapyprac\douban\douban 的目录
2020/08/06 23:45 .
2020/08/06 23:45 ..
2020/08/06 23:29 262 items.py
2020/08/06 23:29 3,648 middlewares.py
2020/08/06 23:29 360 pipelines.py
2020/08/06 23:45 3,091 settings.py
2020/08/06 22:59 spiders
2020/08/06 22:58 0 __init__.py
5 个文件 7,361 字节
3 个目录 440,007,593,984 可用字节
D:\SW_dvp\python\practice\scrapyprac\douban\douban>cd spiders
D:\SW_dvp\python\practice\scrapyprac\douban\douban\spiders>scrapy genspider douban_spider movie.douban.com
Created spider 'douban_spider' using template 'basic' in module:
douban.spiders.douban_spider
D:\SW_dvp\python\practice\scrapyprac\douban\douban\spiders>dir
驱动器 D 中的卷是 新加卷
卷的序列号是 BE92-2BF3
D:\SW_dvp\python\practice\scrapyprac\douban\douban\spiders 的目录
2020/08/06 23:49 .
2020/08/06 23:49 ..
2020/08/06 23:49 218 douban_spider.py
2020/08/06 22:58 161 __init__.py
2020/08/06 23:49 __pycache__
2 个文件 379 字节
3 个目录 440,007,593,984 可用字节
D:\SW_dvp\python\practice\scrapyprac\douban\douban\spiders>
图片.png
抓取目标链接:https://movie.douban.com/top250
图片.png
操作 5 : 根据需要抓取的对象编辑数据模型文件 items.py ,创建对象(序号,名称,描述,评价等等).
修改前:
# Define here the models for your scraped items
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/items.html
import scrapy
class DoubanItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
pass
修改后:
# Define here the models for your scraped items
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/items.html
import scrapy
class DoubanItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
#序号
serial_number = scrapy.Field()
#电影名称
movie_name = scrapy.Field()
# 介绍
introduce = scrapy.Field()
# 星级
star = scrapy.Field()
# 评价
evaluate = scrapy.Field()
# 描述
describle = scrapy.Field()操作 6 : 编辑爬虫文件douban_spider.py :
import scrapy
class DoubanSpiderSpider(scrapy.Spider):
name = 'douban_spider'
allowed_domains = ['movie.douban.com']
start_urls = ['http://movie.douban.com/']
def parse(self, response):
pass修改后：
import scrapy
class DoubanSpiderSpider(scrapy.Spider):
# 爬虫的名称
name = 'douban_spider'
# 爬虫允许抓取的域名
allowed_domains = ['movie.douban.com']
# 爬虫抓取数据地址,给调度器
start_urls = ['http://movie.douban.com/top250']
def parse(self, response):
movie_list = response.xpath("//div[@class='article']//ol[@class='grid_view']/li")
for i_item in movie_list:
douban_item = DoubanItem()
douban_item['serial_number'] = i_item.xpath(".//div[@class='item']//em/text()").extract_first()
douban_item['movie_name'] = i_item.xpath(
".//div[@class='info']/div[@class='hd']/a/span[1]/text()").extract_first()
descs = i_item.xpath(".//div[@class='info']//div[@class='hd']/p[1]/text()").extract()
for i_desc in descs:
i_desc_str = "".join(i_desc.split())
douban_item['introduce'] = i_desc_str
douban_item['star'] = i_item.xpath(".//span[@class='rating_num']/text()").extract_first()
douban_item['evaluate'] = i_item.xpath(".//div[@class='star']//span[4]/text()").extract_first()
douban_item['describle'] = i_item.xpath(".//p[@class='quote']/span/text()").extract_first()
yield douban_item
# 解析下一页
next_link = response.xpath("//span[@class='next']/link/@href").extract()
if next_link:
next_link = next_link[0]
yield scrapy.Request("https://movie.douban.com/top250" + next_link, callback=self.parse)
# 打印返回结果
print(response.text)
操作 7 : 开启scrapy项目:
打开终端, 在spiders文件路径下执行命令:scrapy crawl douban_spider
D:\SW_dvp\python\practice\scrapyprac\douban\douban\spiders>scrapy crawl douban_spider
执行返回:
D:\SW_dvp\python\practice\scrapyprac\douban\douban\spiders>scrapy crawl douban_spider
2020-08-06 23:57:05 [scrapy.utils.log] INFO: Scrapy 2.3.0 started (bot: douban)
2020-08-06 23:57:05 [scrapy.utils.log] INFO: Versions: lxml 4.5.2.0, libxml2 2.9.5, cssselect 1.1.0, parsel 1
.6.0, w3lib 1.22.0, Twisted 20.3.0, Python 3.8.5 (tags/v3.8.5:580fbb0, Jul 20 2020, 15:57:54) [MSC v.1924 64
bit (AMD64)], pyOpenSSL 19.1.0 (OpenSSL 1.1.1g 21 Apr 2020), cryptography 3.0, Platform Windows-10-10.0.1836
2-SP0
2020-08-06 23:57:05 [scrapy.utils.log] DEBUG: Using reactor: twisted.internet.selectreactor.SelectReactor
2020-08-06 23:57:05 [scrapy.crawler] INFO: Overridden settings:
{'BOT_NAME': 'douban',
'DOWNLOAD_DELAY': 0.5,
'NEWSPIDER_MODULE': 'douban.spiders',
'SPIDER_MODULES': ['douban.spiders']}
2020-08-06 23:57:05 [scrapy.extensions.telnet] INFO: Telnet Password: f51853d7a3614f1d
2020-08-06 23:57:05 [scrapy.middleware] INFO: Enabled extensions:
['scrapy.extensions.corestats.CoreStats',
'scrapy.extensions.telnet.TelnetConsole',
'scrapy.extensions.logstats.LogStats']
2020-08-06 23:57:09 [scrapy.middleware] INFO: Enabled downloader middlewares:
['scrapy.downloadermiddlewares.httpauth.HttpAuthMiddleware',
'scrapy.downloadermiddlewares.downloadtimeout.DownloadTimeoutMiddleware',
'scrapy.downloadermiddlewares.defaultheaders.DefaultHeadersMiddleware',
'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware',
'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']
2020-08-06 23:57:09 [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']
2020-08-06 23:57:09 [scrapy.middleware] INFO: Enabled item pipelines:
[]
2020-08-06 23:57:09 [scrapy.core.engine] INFO: Spider opened
2020-08-06 23:57:09 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at
0 items/min)
2020-08-06 23:57:09 [scrapy.extensions.telnet] INFO: Telnet console listening on 127.0.0.1:6023
2020-08-06 23:57:09 [scrapy.core.engine] DEBUG: Crawled (403) 上面返回发现有报错
2020-08-06 23:57:09 [scrapy.core.engine] DEBUG: Crawled (403) 我们还需要回到项目settings.py 里 设置USER_AGENT,不然请求无法通过
设置什么内容?
操作 8 : 设置请求头信息 USER_AGENT
我们需要打开网页,F12打开页面调试窗口,在网络(network)下,刷新页面,找到"top250",并点击它:
图片.png
找到请求信息的消息头,里面有User-Agent信息: (复制它)
图片.png
User-Agent: Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36
打开Pycharm CE的 settings.py 里 设置USER_AGENT:
# Crawl responsibly by identifying yourself (and your website) on the user-agent
USER_AGENT = 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36'
打开终端, 在spiders文件路径下重新执行命令:scrapy crawl douban_spider
D:\SW_dvp\python\practice\scrapyprac\douban\douban\spiders>scrapy crawl douban_spider
如果返回日志里有一堆html信息,说明执行成功:
2020-08-07 14:19:41 [scrapy.utils.log] INFO: Scrapy 2.3.0 started (bot: douban)
2020-08-07 14:19:41 [scrapy.utils.log] INFO: Versions: lxml 4.5.2.0, libxml2 2.9.5, cssselect 1.1.0, parsel 1
.6.0, w3lib 1.22.0, Twisted 20.3.0, Python 3.8.5 (tags/v3.8.5:580fbb0, Jul 20 2020, 15:57:54) [MSC v.1924 64
bit (AMD64)], pyOpenSSL 19.1.0 (OpenSSL 1.1.1g 21 Apr 2020), cryptography 3.0, Platform Windows-10-10.0.1836
2-SP0
2020-08-07 14:19:41 [scrapy.utils.log] DEBUG: Using reactor: twisted.internet.selectreactor.SelectReactor
2020-08-07 14:19:41 [scrapy.crawler] INFO: Overridden settings:
{'BOT_NAME': 'douban',
'DOWNLOAD_DELAY': 0.5,
'NEWSPIDER_MODULE': 'douban.spiders',
'SPIDER_MODULES': ['douban.spiders'],
'USER_AGENT': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 '
'(KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36'}
2020-08-07 14:19:41 [scrapy.extensions.telnet] INFO: Telnet Password: 6026458f6c59e054
2020-08-07 14:19:41 [scrapy.middleware] INFO: Enabled extensions:
['scrapy.extensions.corestats.CoreStats',
'scrapy.extensions.telnet.TelnetConsole',
'scrapy.extensions.logstats.LogStats']
2020-08-07 14:19:46 [scrapy.middleware] INFO: Enabled downloader middlewares:
['scrapy.downloadermiddlewares.httpauth.HttpAuthMiddleware',
'scrapy.downloadermiddlewares.downloadtimeout.DownloadTimeoutMiddleware',
'scrapy.downloadermiddlewares.defaultheaders.DefaultHeadersMiddleware',
'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware',
'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']
2020-08-07 14:19:46 [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']
2020-08-07 14:19:46 [scrapy.middleware] INFO: Enabled item pipelines:
[]
2020-08-07 14:19:46 [scrapy.core.engine] INFO: Spider opened
2020-08-07 14:19:46 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at
0 items/min)
2020-08-07 14:19:46 [scrapy.extensions.telnet] INFO: Telnet console listening on 127.0.0.1:6023
2020-08-07 14:19:46 [scrapy.downloadermiddlewares.redirect] DEBUG: Redirecting (301) to from
2020-08-07 14:19:47 [scrapy.core.engine] DEBUG: Crawled (200) (referer:
None)
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '希望让人自由。',
'evaluate': '2101715人评价',
'movie_name': '肖申克的救赎',
'serial_number': '1',
'star': '9.7'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '风华绝代。',
'evaluate': '1558620人评价',
'movie_name': '霸王别姬',
'serial_number': '2',
'star': '9.6'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '一部美国近现代史。',
'evaluate': '1588604人评价',
'movie_name': '阿甘正传',
'serial_number': '3',
'star': '9.5'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '怪蜀黍和小萝莉不得不说的故事。',
'evaluate': '1776366人评价',
'movie_name': '这个杀手不太冷',
'serial_number': '4',
'star': '9.4'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '失去的才是永恒的。 ',
'evaluate': '1541259人评价',
'movie_name': '泰坦尼克号',
'serial_number': '5',
'star': '9.4'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '最美的谎言。',
'evaluate': '992241人评价',
'movie_name': '美丽人生',
'serial_number': '6',
'star': '9.5'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '最好的宫崎骏，最好的久石让。 ',
'evaluate': '1651569人评价',
'movie_name': '千与千寻',
'serial_number': '7',
'star': '9.4'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '拯救一个人，就是拯救整个世界。',
'evaluate': '808069人评价',
'movie_name': '辛德勒的名单',
'serial_number': '8',
'star': '9.5'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '诺兰给了我们一场无法盗取的梦。',
'evaluate': '1514857人评价',
'movie_name': '盗梦空间',
'serial_number': '9',
'star': '9.3'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '永远都不能忘记你所爱的人。',
'evaluate': '1054526人评价',
'movie_name': '忠犬八公的故事',
'serial_number': '10',
'star': '9.4'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '每个人都要走一条自己坚定了的路，就算是粉身碎骨。 ',
'evaluate': '1263353人评价',
'movie_name': '海上钢琴师',
'serial_number': '11',
'star': '9.3'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '如果再也不能见到你，祝你早安，午安，晚安。',
'evaluate': '1137211人评价',
'movie_name': '楚门的世界',
'serial_number': '12',
'star': '9.3'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '英俊版憨豆，高情商版谢耳朵。',
'evaluate': '1406144人评价',
'movie_name': '三傻大闹宝莱坞',
'serial_number': '13',
'star': '9.2'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '小瓦力，大人生。',
'evaluate': '995851人评价',
'movie_name': '机器人总动员',
'serial_number': '14',
'star': '9.3'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '天籁一般的童声，是最接近上帝的存在。 ',
'evaluate': '978364人评价',
'movie_name': '放牛班的春天',
'serial_number': '15',
'star': '9.3'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '爱是一种力量，让我们超越时空感知它的存在。',
'evaluate': '1166486人评价',
'movie_name': '星际穿越',
'serial_number': '16',
'star': '9.3'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '一生所爱。',
'evaluate': '1117131人评价',
'movie_name': '大话西游之大圣娶亲',
'serial_number': '17',
'star': '9.2'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '我们一路奋战不是为了改变世界，而是为了不让世界改变我们。',
'evaluate': '686509人评价',
'movie_name': '熔炉',
'serial_number': '18',
'star': '9.3'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '迪士尼给我们营造的乌托邦就是这样，永远善良勇敢，永远出乎意料。',
'evaluate': '1340440人评价',
'movie_name': '疯狂动物城',
'serial_number': '19',
'star': '9.2'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '香港电影史上永不过时的杰作。',
'evaluate': '909144人评价',
'movie_name': '无间道',
'serial_number': '20',
'star': '9.2'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '人人心中都有个龙猫，童年就永远不会消失。',
'evaluate': '939796人评价',
'movie_name': '龙猫',
'serial_number': '21',
'star': '9.2'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '千万不要记恨你的对手，这样会让你失去理智。',
'evaluate': '686248人评价',
'movie_name': '教父',
'serial_number': '22',
'star': '9.3'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '平民励志片。 ',
'evaluate': '1132039人评价',
'movie_name': '当幸福来敲门',
'serial_number': '23',
'star': '9.1'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '真正的幸福是来自内心深处。',
'evaluate': '1312622人评价',
'movie_name': '怦然心动',
'serial_number': '24',
'star': '9.1'}
2020-08-07 14:19:47 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250>
{'describle': '满满温情的高雅喜剧。',
'evaluate': '732668人评价',
'movie_name': '触不可及',
'serial_number': '25',
'star': '9.2'}
豆瓣电影 Top 250
....
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\Rechard\AppData\Roaming\Python\Python38\site-packages\scrapy\utils\defer.py", line 55, in mu
stbe_deferred
result = f(*args, **kw)
File "C:\Users\Rechard\AppData\Roaming\Python\Python38\site-packages\scrapy\core\spidermw.py", line 60, in
process_spider_input
return scrape_func(response, request, spider)
File "C:\Users\Rechard\AppData\Roaming\Python\Python38\site-packages\scrapy\core\scraper.py", line 152, in
call_spider
warn_on_generator_with_return_value(spider, callback)
File "C:\Users\Rechard\AppData\Roaming\Python\Python38\site-packages\scrapy\utils\misc.py", line 218, in wa
rn_on_generator_with_return_value
if is_generator_with_return_value(callable):
File "C:\Users\Rechard\AppData\Roaming\Python\Python38\site-packages\scrapy\utils\misc.py", line 203, in is
_generator_with_return_value
tree = ast.parse(dedent(inspect.getsource(callable)))
File "c:\program files\python\python38\lib\ast.py", line 47, in parse
return compile(source, filename, mode, flags,
File "", line 1
def parse(self, response):
^
IndentationError: unexpected indent
2020-08-07 14:19:48 [scrapy.core.engine] INFO: Closing spider (finished)
2020-08-07 14:19:48 [scrapy.statscollectors] INFO: Dumping Scrapy stats:
{'downloader/request_bytes': 978,
'downloader/request_count': 3,
'downloader/request_method_count/GET': 3,
'downloader/response_bytes': 25468,
'downloader/response_count': 3,
'downloader/response_status_count/200': 2,
'downloader/response_status_count/301': 1,
'elapsed_time_seconds': 2.099,
'finish_reason': 'finished',
'finish_time': datetime.datetime(2020, 8, 7, 6, 19, 48, 395590),
'item_scraped_count': 25,
'log_count/DEBUG': 28,
'log_count/ERROR': 1,
'log_count/INFO': 10,
'request_depth_max': 1,
'response_received_count': 2,
'scheduler/dequeued': 3,
'scheduler/dequeued/memory': 3,
'scheduler/enqueued': 3,
'scheduler/enqueued/memory': 3,
'spider_exceptions/IndentationError': 1,
'start_time': datetime.datetime(2020, 8, 7, 6, 19, 46, 296590)}
2020-08-07 14:19:48 [scrapy.core.engine] INFO: Spider closed (finished)
我这里好像出了意外，不知道是什么原因？暂时搁置一下。
另外,本人安装Python是通过Anaconda管理,会安装大部分常用的模块,如果编译安装Python缺少模块,就可能执行失败
图片.png
如果执行失败,比如下面情况,像教程里老师缺少sqlite3:
图片.png
那么需要安装sqlite:
-
管理员执行命令: sudo yum -y install sqlite* -
再输入电脑密码回车
图片.png
安装成功后,需要重新编译一下Python,并开启sqlite
进入你的Python安装目录编译:
./configure --prefix='你的安装路径' --with-ssl
图片.png
操作 9 : 上面我们是在终端执行的,为了方便,现在设置在Pycharm CE开发工具中执行.
首先我们需要创建一个启动文件,比如main.py:
创建完成后编写如下main.py:
from scrapy import cmdline
# 输出未过滤的页面信息
cmdline.execute('scrapy crawl douban_spider'.split())
右键运行,返回信息和终端一样.
操作 10 : 下面进入爬虫文件douban_spider.py 进行进一步设置:
# -*- coding: utf-8 -*-
import scrapy
class DoubanSpiderSpider(scrapy.Spider):
# 爬虫的名称
name = 'douban_spider'
# 爬虫允许抓取的域名
allowed_domains = ['movie.douban.com']
# 爬虫抓取数据地址,给调度器
start_urls = ['http://movie.douban.com/top250']
def parse(self, response):
movie_list = response.xpath("//div[@class='article']//ol[@class='grid_view']/li")
for i_item in movie_list:
print(i_item)其中:response.xpath("//div[@class='article']//ol[@class='grid_view']/li")是xml的解析方法xpath, 括号内是xpath语法:
(根据抓取网页的目录结构,等到上面结果, 意思是选取class为article的div下,class为grid_view的ol下的所有li标签)
图片.png
示例:
图片.png
回到上面,在douban_spider.py 编辑完成后,进入main.py运行:
2020-08-07 15:18:05 [scrapy.core.engine] INFO: Spider opened
2020-08-07 15:18:05 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2020-08-07 15:18:05 [scrapy.extensions.telnet] INFO: Telnet console listening on 127.0.0.1:6023
2020-08-07 15:18:05 [scrapy.downloadermiddlewares.redirect] DEBUG: Redirecting (301) to from
2020-08-07 15:18:06 [scrapy.core.engine] DEBUG: Crawled (200) (referer: None)
操作 11 : 返回我们选择的Selector对象
接下来进一步细分,获取详细的信息:
继续修改 信息:
1: 导入模型文件from douban.items import DoubanItem
意思是从目录文件douban下的items.py里,导入DoubanItem模型
2: 修改遍历:
def parse(self, response):
movie_list = response.xpath("//div[@class='article']//ol[@class='grid_view']/li")
for i_item in movie_list:
douban_item = DoubanItem()
douban_item['serial_number'] = i_item.xpath(".//div[@class='item']//em/text()").extract_first()
print(douban_item)解释:
1 DoubanItem() 模型初始化
2 douban_item['serial_number'] 设置模型变量serial_number值,
3 i_item.xpath(".//div[@class='item']//em/text()")对返回结果进一步筛选,并且以"."开头表示拼接,以text()结束表示获取其信息
4 extract_first() 筛选结果的第一个值
修改后的douban_spider.py文件:
# -*- coding: utf-8 -*-
# -*- coding:utf-8 -*-
import scrapy
from douban.items import DoubanItem
class DoubanSpiderSpider(scrapy.Spider):
# 爬虫的名称
name = 'douban_spider'
# 爬虫允许抓取的域名
allowed_domains = ['movie.douban.com']
# 爬虫抓取数据地址,给调度器
start_urls = ['http://movie.douban.com/top250']
def parse(self, response):
movie_list = response.xpath("//div[@class='article']//ol[@class='grid_view']/li")
for i_item in movie_list:
douban_item = DoubanItem()
douban_item['serial_number'] = i_item.xpath(".//div[@class='item']//em/text()").extract_first()
print(douban_item)
运行main.py:( 如下,序号获取成功)
2020-08-07 15:28:08 [scrapy.downloadermiddlewares.redirect] DEBUG: Redirecting (301) to from
2020-08-07 15:28:08 [scrapy.core.engine] DEBUG: Crawled (200) (referer: None)
{'serial_number': '1'}
{'serial_number': '2'}
{'serial_number': '3'}
{'serial_number': '4'}
{'serial_number': '5'}
{'serial_number': '6'}
{'serial_number': '7'}
{'serial_number': '8'}
{'serial_number': '9'}
{'serial_number': '10'}
{'serial_number': '11'}
{'serial_number': '12'}
{'serial_number': '13'}
{'serial_number': '14'}
{'serial_number': '15'} 操作 12 : 完善douban_spider.py文件(解析详细属性):
# -*- coding: utf-8 -*-
# -*- coding: utf-8 -*-
import scrapy
from douban.items import DoubanItem
class DoubanSpiderSpider(scrapy.Spider):
# 爬虫的名称
name = 'douban_spider'
# 爬虫允许抓取的域名
allowed_domains = ['movie.douban.com']
# 爬虫抓取数据地址,给调度器
start_urls = ['http://movie.douban.com/top250']
def parse(self, response):
movie_list = response.xpath("//div[@class='article']//ol[@class='grid_view']/li")
for i_item in movie_list:
douban_item = DoubanItem()
douban_item['serial_number'] = i_item.xpath(".//div[@class='item']//em/text()").extract_first()
douban_item['movie_name'] = i_item.xpath(
".//div[@class='info']/div[@class='hd']/a/span[1]/text()").extract_first()
descs = i_item.xpath(".//div[@class='info']//div[@class='hd']/p[1]/text()").extract()
for i_desc in descs:
i_desc_str = "".join(i_desc.split())
douban_item['introduce'] = i_desc_str
douban_item['star'] = i_item.xpath(".//span[@class='rating_num']/text()").extract_first()
douban_item['evaluate'] = i_item.xpath(".//div[@class='star']//span[4]/text()").extract_first()
douban_item['describle'] = i_item.xpath(".//p[@class='quote']/span/text()").extract_first()
print(douban_item)再次运行main.py,返回信息:
2020-08-07 15:33:48 [scrapy.core.engine] DEBUG: Crawled (200) (referer: None)
{'describle': '希望让人自由。',
'evaluate': '2102115人评价',
'movie_name': '肖申克的救赎',
'serial_number': '1',
'star': '9.7'}
{'describle': '风华绝代。',
'evaluate': '1558620人评价',
'movie_name': '霸王别姬',
'serial_number': '2',
'star': '9.6'}
{'describle': '一部美国近现代史。',
'evaluate': '1588604人评价',
'movie_name': '阿甘正传',
'serial_number': '3',
'star': '9.5'}
{'describle': '怪蜀黍和小萝莉不得不说的故事。',
'evaluate': '1776366人评价',
'movie_name': '这个杀手不太冷',
'serial_number': '4',
'star': '9.4'} 操作 13 : yield命令和Scrapy框架
接着把刚才最后一行代码
print(douban_item)
替换成
yield douban_item
意思是将返回结果压入 item Pipline进行处理:(如下图介绍scrapy原理)
操作 14 : 继续编辑我们的爬虫douban_spider.py文件
操作 15 : 遍历 "下一页" , 获取所有数据
再次编辑douban_spider.py文件:
# -*- coding: utf-8 -*-
# -*- coding: utf-8 -*-
import scrapy
from douban.items import DoubanItem
class DoubanSpiderSpider(scrapy.Spider):
# 爬虫的名称
name = 'douban_spider'
# 爬虫允许抓取的域名
allowed_domains = ['movie.douban.com']
# 爬虫抓取数据地址,给调度器
start_urls = ['http://movie.douban.com/top250']
def parse(self, response):
movie_list = response.xpath("//div[@class='article']//ol[@class='grid_view']/li")
for i_item in movie_list:
douban_item = DoubanItem()
douban_item['serial_number'] = i_item.xpath(".//div[@class='item']//em/text()").extract_first()
douban_item['movie_name'] = i_item.xpath(
".//div[@class='info']/div[@class='hd']/a/span[1]/text()").extract_first()
descs = i_item.xpath(".//div[@class='info']//div[@class='hd']/p[1]/text()").extract()
for i_desc in descs:
i_desc_str = "".join(i_desc.split())
douban_item['introduce'] = i_desc_str
douban_item['star'] = i_item.xpath(".//span[@class='rating_num']/text()").extract_first()
douban_item['evaluate'] = i_item.xpath(".//div[@class='star']//span[4]/text()").extract_first()
douban_item['describle'] = i_item.xpath(".//p[@class='quote']/span/text()").extract_first()
yield douban_item
next_link = response.xpath("//span[@class='next']/link/@href").extract()
if next_link:
next_link = next_link[0]
yield scrapy.Request("https://movie.douban.com/top250" + next_link, callback=self.parse)
解释:
1 每次for循环结束后,需要获取next页面链接:next_link
2 如果到最后一页时没有下一页,需要判断一下
3 下一页地址拼接: 点击第二页时页面地址是https://movie.douban.com/top250?start=25&filter= 恰好就是https://movie.douban.com/top250 和 中href的拼接
4 callback=self.parse : 请求回调
运行main.py结果:(可以看到我们把最后一个序号250的数据加载到)
操作 16 : 保存数据到json文件 或者 csv文件
在douban路径执行:scrapy crawl douban_spider -o movielist.json
或者
在douban路径执行:scrapy crawl douban_spider -o movielist.csv
D:\SW_dvp\python\practice\scrapyprac\douban>scrapy crawl douban_spider -o movielist.csv
保存成功:
2020-08-07 15:50:39 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250?start=225&
filter=>
{'describle': '一个精彩的世界观正在缓缓建立。',
'evaluate': '265540人评价',
'movie_name': '黑客帝国2：重装上阵',
'serial_number': '249',
'star': '8.6'}
2020-08-07 15:50:39 [scrapy.core.scraper] DEBUG: Scraped from <200 https://movie.douban.com/top250?start=225&
filter=>
{'describle': '我完全康复了。',
'evaluate': '285937人评价',
'movie_name': '发条橙',
'serial_number': '250',
'star': '8.6'}
2020-08-07 15:50:39 [scrapy.core.engine] INFO: Closing spider (finished)
查看:里面有movielist.csv
也可以在
main.py里面写入这行命令，然后run，也可以保存成功；
from scrapy import cmdline
# 输出未过滤的页面信息
#cmdline.execute('scrapy crawl douban_spider'.split())
cmdline.execute('scrapy crawl douban_spider -o movielist.csv'.split())
查看保存结果:
操作 17 : 存储到数据库MongoDB(pymongo)--没安装成功，没做
首先检查是否安装pymongo:
打开终端
输入
python
回车
输入:
import pymongo
回车
如果没有安装就会报错:
-
... -
No module named 'pymongo'
安装pymongo:
输入命令:
pip install pymongo
回车安装.
安装成功以后,接下来需要编写存储代码.
进入项目
设置settings.py文件
(1)将settings.py被注释的下面代码开启:
-
ITEM_PIPELINES = { -
'douban.pipelines.DoubanPipeline': 300, -
}
(2)settings.py文件最后添加数据库信息:
启动数据库服务
host:你的ip地址;
port : pymongo默认端口
db_name: 数据库名
db_collection: 表名
-
# 定义MongoDB信息 -
mongo_host = '172.16.0.0' -
mongo_port = 27017 -
mongo_db_name = 'douban' -
mongo_db_collection = 'douban_movie'
修改你的pipelines.py文件如下:
-
# -*- coding: utf-8 -*- -
import pymongo -
from douban.settings import mongo_host ,mongo_port,mongo_db_name,mongo_db_collection -
# 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 -
class DoubanPipeline(object): -
def __init__(self): -
host = mongo_host -
port = mongo_port -
dbname = mongo_db_name -
sheetname = mongo_db_collection -
client = pymongo.MongoClient(host=host,port=port) -
mydb = client[dbname] -
self.post = mydb[sheetname] -
def process_item(self, item, spider): -
data = dict(item) -
self.post.insert(data) -
return item
进入main.py运行.即可存储数据到数据库.
操作 17 : ip代理中间价编写(爬虫ip地址伪装)--没做
修改中间价文件:middlewares.py文件:
(1)文件开头导入base64文件:
import base64
(2)文件结尾添加方法:
-
class my_proxy(object): -
def process_request(self,request,spider): -
request.meta['proxy'] = 'http-cla.abuyun.com:9030' -
proxy_name_pass = b'H622272STYB666BW:F78990HJSS7' -
enconde_pass_name = base64.b64encode(proxy_name_pass) -
request.headers['Proxy-Authorization'] = 'Basic ' + enconde_pass_name.decode()
解释:根据阿布云注册购买http隧道列表信息
request.meta['proxy'] : '服务器地址:端口号'
proxy_name_pass: b'证书号:密钥' ,b开头是字符串base64处理
base64.b64encode() : 变量做base64处理
'Basic ' : basic后一定要有空格
大壮老师购买阿布云http隧道页:
修改settings.py文件:
(3)取消注释,并修改如下:
DOWNLOADER_MIDDLEWARES = {
'douban.middlewares.my_proxy': 543,
}
(4)进入main.py运行:
下面截图表示成功隐藏ip地址
操作 18 : 头信息User-Agent伪装
其实在上面'操作 8' 步骤里已经设置过一次User-Agent信息,不过信息是写死的,
接下里我们通过随机给出一个User-Agent信息的方式来实现简单伪装:
同样是修改中间价文件:middlewares.py文件:
(1)文件开头导入random文件(随机函数):
import random
(2)文件结尾添加方法:
添加新方法:
class my_useragent(object):
def process_request(self, request, spider):
UserAgentList = [
"Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; AcooBrowser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)",
"Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0; Acoo Browser; SLCC1; .NET CLR 2.0.50727; Media Center PC 5.0; .NET CLR 3.0.04506)",
"Mozilla/4.0 (compatible; MSIE 7.0; AOL 9.5; AOLBuild 4337.35; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)",
"Mozilla/5.0 (Windows; U; MSIE 9.0; Windows NT 9.0; en-US)",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Win64; x64; Trident/5.0; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 2.0.50727; Media Center PC 6.0)",
"Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 1.0.3705; .NET CLR 1.1.4322)",
"Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 5.2; .NET CLR 1.1.4322; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 3.0.04506.30)",
"Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN) AppleWebKit/523.15 (KHTML, like Gecko, Safari/419.3) Arora/0.3 (Change: 287 c9dfb30)",
"Mozilla/5.0 (X11; U; Linux; en-US) AppleWebKit/527+ (KHTML, like Gecko, Safari/419.3) Arora/0.6",
"Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1.2pre) Gecko/20070215 K-Ninja/2.1.1",
"Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN; rv:1.9) Gecko/20080705 Firefox/3.0 Kapiko/3.0",
"Mozilla/5.0 (X11; Linux i686; U;) Gecko/20070322 Kazehakase/0.4.5",
"Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.8) Gecko Fedora/1.9.0.8-1.fc10 Kazehakase/0.5.6",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_3) AppleWebKit/535.20 (KHTML, like Gecko) Chrome/19.0.1036.7 Safari/535.20",
"Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; fr) Presto/2.9.168 Version/11.52",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.11 TaoBrowser/2.0 Safari/536.11",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.71 Safari/537.1 LBBROWSER",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; LBBROWSER)",
"Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E; LBBROWSER)",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.84 Safari/535.11 LBBROWSER",
"Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E)",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; QQBrowser/7.0.3698.400)",
"Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E)",
"Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SV1; QQDownload 732; .NET4.0C; .NET4.0E; 360SE)",
"Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E)",
"Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E)",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.89 Safari/537.1",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.89 Safari/537.1",
"Mozilla/5.0 (iPad; U; CPU OS 4_2_1 like Mac OS X; zh-cn) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8C148 Safari/6533.18.5",
"Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:2.0b13pre) Gecko/20110307 Firefox/4.0b13pre",
"Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:16.0) Gecko/20100101 Firefox/16.0",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11",
"Mozilla/5.0 (X11; U; Linux x86_64; zh-CN; rv:1.9.2.10) Gecko/20100922 Ubuntu/10.10 (maverick) Firefox/3.6.10",
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36",
]
agent = random.choice(UserAgentList)
request.headers['User_Agent'] = agent
(3)修改settings.py文件:并修改如下:
增加一条设置: 'douban.middlewares.my_useragent': 544
DOWNLOADER_MIDDLEWARES = {
'douban.middlewares.DoubanDownloaderMiddleware': 543,
'douban.middlewares.my_useragent': 544,
}(4)进入main.py运行:
user agent设置成功
2020-08-07 16:31:07 [scrapy.middleware] INFO: Enabled downloader middlewares:
['scrapy.downloadermiddlewares.httpauth.HttpAuthMiddleware',
'scrapy.downloadermiddlewares.downloadtimeout.DownloadTimeoutMiddleware',
'scrapy.downloadermiddlewares.defaultheaders.DefaultHeadersMiddleware',
'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware',
'douban.middlewares.DoubanDownloaderMiddleware',
'douban.middlewares.my_useragent',操作 19 : 最后
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