目录
- 前言
- 环境部署
- 实现过程
- 创建项目
- 定义item实体
- 关键词提取工具
- 爬虫构造
- 中间件代码构造
- 制作自定义pipeline
- settings配置
- 执行主程序
- 执行结果
- 总结
前言
接着我的上一篇：python 详解爬取并统计csdn全站热榜标题关键词词频流程
我换成scrapy架构也实现了一遍。获取页面源码底层原理是一样的，scrapy架构更系统一些。下面我会把需要注意的问题，也说明一下。
提供一下github仓库地址：github本项目地址
环境部署
scrapy安装
pip install scrapy -i https://pypi.douban.com/simple
selenium安装
pip install selenium -i https://pypi.douban.com/simple
jieba安装
pip install jieba -i https://pypi.douban.com/simple
ide：pycharm
google chrome driver下载对应版本：google chrome driver下载地址
检查浏览器版本，下载对应版本。
实现过程
下面开始搞起。
创建项目
使用scrapy命令创建我们的项目。
scrapy startproject csdn_hot_words
项目结构，如同官方给出的结构。
定义item实体
按照之前的逻辑，主要属性为标题关键词对应出现次数的字典。代码如下：
# define here the models for your scraped items
#
# see documentation in:
# https://docs.scrapy.org/en/latest/topics/items.html
import scrapy
class csdnhotwordsitem(scrapy.item):
# define the fields for your item here like:
# name = scrapy.field()
words = scrapy.field()
关键词提取工具
使用jieba分词获取工具。
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @time : 2021/11/5 23:47
# @author : 至尊宝
# @site :
# @file : analyse_sentence.py
import jieba.analyse
def get_key_word(sentence):
result_dic = {}
words_lis = jieba.analyse.extract_tags(
sentence, topk=3, withweight=true, allowpos=())
for word, flag in words_lis:
if word in result_dic:
result_dic[word] += 1
else:
result_dic[word] = 1
return result_dic
爬虫构造
这里需要给爬虫初始化一个浏览器参数，用来实现页面的动态加载。
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @time : 2021/11/5 23:47
# @author : 至尊宝
# @site :
# @file : csdn.py
import scrapy
from selenium import webdriver
from selenium.webdriver.chrome.options import options
from csdn_hot_words.items import csdnhotwordsitem
from csdn_hot_words.tools.analyse_sentence import get_key_word
class csdnspider(scrapy.spider):
name = 'csdn'
# allowed_domains = ['blog.csdn.net']
start_urls = ['https://blog.csdn.net/rank/list']
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("//div[@class='hosetitem-title']/a/text()")
for x in titles:
item = csdnhotwordsitem()
item['words'] = get_key_word(x.get())
yield item
代码说明
1、这里使用的是chrome的无头模式，就不需要有个浏览器打开再访问，都是后台执行的。
2、需要添加chromedriver的执行文件地址。
3、在parse的部分，可以参考之前我文章的xpath，获取到标题并且调用关键词提取，构造item对象。
中间件代码构造
添加js代码执行内容。中间件完整代码：
# define here the models for your spider middleware
#
# see documentation in:
# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
from scrapy import signals
from scrapy.http import htmlresponse
from selenium.common.exceptions import timeoutexception
import time
from selenium.webdriver.chrome.options import options
# useful for handling different item types with a single interface
from itemadapter import is_item, itemadapter
class csdnhotwordsspidermiddleware:
# 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 csdnhotwordsdownloadermiddleware:
# 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):
js = '''
let height = 0
let interval = setinterval(() => {
window.scrollto({
top: height,
behavior: "smooth"
});
height += 500
}, 500);
settimeout(() => {
clearinterval(interval)
}, 20000);
'''
try:
spider.browser.get(request.url)
spider.browser.execute_script(js)
time.sleep(20)
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)
制作自定义pipeline
定义按照词频统计最终结果输出到文件。代码如下：
# 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 csdnhotwordspipeline:
def __init__(self):
self.file = open('result.txt', 'w', encoding='utf-8')
self.all_words = []
def process_item(self, item, spider):
self.all_words.append(item)
return item
def close_spider(self, spider):
key_word_dic = {}
for y in self.all_words:
print(y)
for k, v in y['words'].items():
if k.lower() in key_word_dic:
key_word_dic[k.lower()] += v
else:
key_word_dic[k.lower()] = v
word_count_sort = sorted(key_word_dic.items(),
key=lambda x: x[1], reverse=true)
for word in word_count_sort:
self.file.write('{},{}\n'.format(word[0], word[1]))
self.file.close()
settings配置
配置上要做一些调整。如下调整：
# scrapy settings for csdn_hot_words 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 = 'csdn_hot_words'
spider_modules = ['csdn_hot_words.spiders']
newspider_module = 'csdn_hot_words.spiders'
# crawl responsibly by identifying yourself (and your website) on the user-agent
# user_agent = 'csdn_hot_words (+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 = 30
# 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 = {
'csdn_hot_words.middlewares.csdnhotwordsspidermiddleware': 543,
}
# enable or disable downloader middlewares
# see https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
downloader_middlewares = {
'csdn_hot_words.middlewares.csdnhotwordsdownloadermiddleware': 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 = {
'csdn_hot_words.pipelines.csdnhotwordspipeline': 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'
执行主程序
可以通过scrapy的命令执行，但是为了看日志方便，加了一个主程序代码。
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @time : 2021/11/5 22:41
# @author : 至尊宝
# @site :
# @file : main.py
from scrapy import cmdline
cmdline.execute('scrapy crawl csdn'.split())
执行结果
执行部分日志
得到result.txt结果。
总结
看，java还是yyds。不知道为什么2021这个关键词也可以排名靠前。于是我觉着把我标题也加上2021。
github项目地址在发一遍：github本项目地址
申明一下，本文案例仅研究探索使用，不是为了恶意攻击。
分享：
凡夫俗子不下苦功夫、死力气去努力做成一件事，根本就没资格去谈什么天赋不天赋。
——烽火戏诸侯《剑来》
如果本文对你有用的话，请不要吝啬你的赞，谢谢。
以上就是python 详解通过scrapy框架实现爬取csdn全站热榜标题热词流程的详细内容，更多关于python scrapy框架的资料请关注www.887551.com其它相关文章！
黄山市民网：https://www.huangshanshimin.com/
