(Scrapy框架)爬虫获取豆瓣正在热映的电影信息，xpath属性爬取 | 爬虫案例
目录
前言
我喜欢看电影，可以说大部分热门的电影我都看过。处理爱好的目的，我看了看豆瓣热映的电影列表。于是我写了这个爬虫把豆瓣热映的电影都爬了下来。对页面的处理主要是需要点击显示全部电影，然后爬取影片属性，最后输出文本。采用的还是scrapy框架。顺便聊聊我的实现过程吧。
声明一下：本文主要是研究使用，没有别的用途。
GitHub仓库地址：github项目仓库
页面分析
主要爬取页面为:https://movie.douban.com/cinema/nowplaying/nanjing/
至于后面的地区，可以按照自己的需要改一下，不过多赘述了。页面需要点击一下展开全部影片，才能显示全部内容，不然只有15部。所以我们使用selenium的时候，需要加一个打开页面后的点击逻辑。页面图如下：
通过F12展开的源码，用xpath helper工具验证一下右键复制下来的xpath路径。
为了避免布局调整导致找不到，我把xpath改为通过class名获取。
然后看看每个影片的信息。
分析一下，是不是可以通过nowplaying的div，作为根节点，然后获取下面class为list-item的节点，里面的属性就是我们要的内容。
没什么问题，那么就按照这个思路开始创建项目编码吧。
实现过程
创建项目
创建一个较douban_playing的项目，使用scrapy命令。
scrapy startproject douban_playingItem定义
定义电影信息实体。
# Define here the models for your scraped items
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/items.html
import scrapy
class DoubanPlayingItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
# 电影名
title = scrapy.Field()
# 电影分数
score = scrapy.Field()
# 电影发行年份
release = scrapy.Field()
# 电影时长
duration = scrapy.Field()
# 地区
region = scrapy.Field()
# 电影导演
director = scrapy.Field()
# 电影主演
actors = scrapy.Field()
中间件操作定义
主要是点击展开全部影片，需要加一段代码。
# Define here the models for your spider middleware
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
import time
from scrapy import signals
# useful for handling different item types with a single interface
from itemadapter import is_item, ItemAdapter
from scrapy.http import HtmlResponse
from selenium.common.exceptions import TimeoutException
class DoubanPlayingSpiderMiddleware:
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the spider middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_spider_input(self, response, spider):
# Called for each response that goes through the spider
# middleware and into the spider.
# Should return None or raise an exception.
return None
def process_spider_output(self, response, result, spider):
# Called with the results returned from the Spider, after
# it has processed the response.
# Must return an iterable of Request, or item objects.
for i in result:
yield i
def process_spider_exception(self, response, exception, spider):
# Called when a spider or process_spider_input() method
# (from other spider middleware) raises an exception.
# Should return either None or an iterable of Request or item objects.
pass
def process_start_requests(self, start_requests, spider):
# Called with the start requests of the spider, and works
# similarly to the process_spider_output() method, except
# that it doesn’t have a response associated.
# Must return only requests (not items).
for r in start_requests:
yield r
def spider_opened(self, spider):
spider.logger.info('Spider opened: %s' % spider.name)
class DoubanPlayingDownloaderMiddleware:
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the downloader middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_request(self, request, spider):
# Called for each request that goes through the downloader
# middleware.
# Must either:
# - return None: continue processing this request
# - or return a Response object
# - or return a Request object
# - or raise IgnoreRequest: process_exception() methods of
# installed downloader middleware will be called
# return None
try:
spider.browser.get(request.url)
spider.browser.maximize_window()
time.sleep(2)
spider.browser.find_element_by_xpath("//*[@id='nowplaying']/div[@class='more']").click()
# ActionChains(spider.browser).click(searchButtonElement)
time.sleep(5)
return HtmlResponse(url=spider.browser.current_url, body=spider.browser.page_source,
encoding="utf-8", request=request)
except TimeoutException as e:
print('超时异常:{}'.format(e))
spider.browser.execute_script('window.stop()')
finally:
spider.browser.close()
def process_response(self, request, response, spider):
# Called with the response returned from the downloader.
# Must either;
# - return a Response object
# - return a Request object
# - or raise IgnoreRequest
return response
def process_exception(self, request, exception, spider):
# Called when a download handler or a process_request()
# (from other downloader middleware) raises an exception.
# Must either:
# - return None: continue processing this exception
# - return a Response object: stops process_exception() chain
# - return a Request object: stops process_exception() chain
pass
def spider_opened(self, spider):
spider.logger.info('Spider opened: %s' % spider.name)
爬虫定义
按照属性名，我们取出所有的影片信息。注意取出属性的写法。
#!/user/bin/env python
# coding=utf-8
"""
@project : douban_playing
@author : huyi
@file : douban_playing.py
@ide : PyCharm
@time : 2021-11-10 16:31:23
"""
import scrapy
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from douban_playing.items import DoubanPlayingItem
class DoubanPlayingSpider(scrapy.Spider):
name = 'dbp'
# allowed_domains = ['blog.csdn.net']
start_urls = ['https://movie.douban.com/cinema/nowplaying/nanjing/']
nowplaying = "//*[@id='nowplaying']/div[@class='mod-bd']//*[@class='list-item']/@{}"
properties = ['data-title', 'data-score', 'data-release', 'data-duration', 'data-region', 'data-director',
'data-actors']
def __init__(self):
chrome_options = Options()
chrome_options.add_argument('--headless') # 使用无头谷歌浏览器模式
chrome_options.add_argument('--disable-gpu')
chrome_options.add_argument('--no-sandbox')
self.browser = webdriver.Chrome(chrome_options=chrome_options,
executable_path="E:\chromedriver_win32\chromedriver.exe")
self.browser.set_page_load_timeout(30)
def parse(self, response, **kwargs):
titles = response.xpath(self.nowplaying.format(self.properties[0])).extract()
scores = response.xpath(self.nowplaying.format(self.properties[1])).extract()
releases = response.xpath(self.nowplaying.format(self.properties[2])).extract()
durations = response.xpath(self.nowplaying.format(self.properties[3])).extract()
regions = response.xpath(self.nowplaying.format(self.properties[4])).extract()
directors = response.xpath(self.nowplaying.format(self.properties[5])).extract()
actors = response.xpath(self.nowplaying.format(self.properties[6])).extract()
for x in range(len(titles)):
item = DoubanPlayingItem()
item['title'] = titles[x]
item['score'] = scores[x]
item['release'] = releases[x]
item['duration'] = durations[x]
item['region'] = regions[x]
item['director'] = directors[x]
item['actors'] = actors[x]
yield item
数据管道定义
还是老样子，把取出的电影数据按照格式输出在文本中。
# 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
# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
class DoubanPlayingPipeline:
def __init__(self):
self.file = open('result.txt', 'w', encoding='utf-8')
def process_item(self, item, spider):
self.file.write(
"电影:{}t分数:{}t发行年份:{}t电影时长:{}t地区:{}t电影导演:{}t电影主演:{}n".format(
item['title'],
item['score'],
item['release'],
item['duration'],
item['region'],
item['director'],
item['actors']))
return item
def close_spider(self, spider):
self.file.close()
配置设置
都是一些常规的，放开几个默认配置就行。
# Scrapy settings for douban_playing 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 = 'douban_playing'
SPIDER_MODULES = ['douban_playing.spiders']
NEWSPIDER_MODULE = 'douban_playing.spiders'
# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'douban_playing (+http://www.yourdomain.com)'
USER_AGENT = 'Mozilla/5.0'
# 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',
'User-Agent': 'Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.94 Safari/537.36'
}
# Enable or disable spider middlewares
# See https://docs.scrapy.org/en/latest/topics/spider-middleware.html
SPIDER_MIDDLEWARES = {
'douban_playing.middlewares.DoubanPlayingSpiderMiddleware': 543,
}
# Enable or disable downloader middlewares
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
DOWNLOADER_MIDDLEWARES = {
'douban_playing.middlewares.DoubanPlayingDownloaderMiddleware': 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 = {
'douban_playing.pipelines.DoubanPlayingPipeline': 300,
}
# 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'
执行验证
还是老样子，不直接使用scrapy命令，构造一个py执行cmd。注意该py的位置。
看一下执行后的结果。
完美！！！
总结
最近都在写一些爬虫的案例，也是边学习边摸索，把一些实现过程记录一下，也分享一下，等过段时间还可以回忆回忆。
分享：
情之一字，不知所起，不知所栖，不知所结，不知所解，不知所踪，不知所终。 ——《雪中悍刀行》
如果本文对你有用的话，请不要吝啬你的赞，谢谢！
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