scrapy爬取《坏蛋是怎样练成的4》
scrapy具体介绍就不用说了,自己百度一下。或者参考以下文档
https://blog.csdn.net/u011054333/article/details/70165401
直接在cmd里运行
scrapy startproject huaidan
scrapy genspider huaidan huaida4.com
然后贴代码放到spiders文件夹里
1 # -*- coding: utf-8 -*-
2 import scrapy
3 from scrapy.http import Request
4 from urllib import parse
5 import re
6
7 class huaidan(scrapy.Spider):
8 name = "huaidan"
9 allowed_domains = ["www.huaidan4.com"]
10 start_urls = ["http://www.huaidan4.com/di-yi-fen-lei.html",
11 "http://www.huaidan4.com/di-er-juan.html",
12 "http://www.huaidan4.com"]
13
14
15 #提取下一页文章url交给scrpy进行下载
16 def parse(self, response):
17 #获取文章url
18 all_article=response.css('.container ul li a::attr(href)').extract()
19 all_url=[]
20 for article_url in all_article:
21 if article_url in all_url:
22 pass
23 else:
24 all_url.append(article_url)
25 yield Request(url=article_url,encoding='utf-8',callback=self.parse_detail)
26
27
28
29
30 #提取文章的具体字段
31 def parse_detail(self,response):
32 #获取文章标题
33 article_title = response.xpath('//*[@id="content"]/div[1]/div[1]/h2/text()').extract_first()
34
35 #获取创建时间
36 create_time = response.xpath('//*[@id="content"]/div[1]/div[1]/span/text()[2]').extract_first().strip()
37
38 #获取文章正文
39 article_text = response.css('.post_entry,p::text').extract_first()
40 #处理正文标点符号和无用的信息
41 article_text = re.sub('</?\w+[^>]*>','',article_text)
42 article_text = article_text.replace("\', \'","")
43 article_text = article_text.replace("\\u3000","").strip()
44 article_text = article_text.replace("\\xa0\\xa0\\xa0\\xa0","")
45 article_text = article_text.replace("(新书上传,求收藏,推荐!!!!!!!!!!!!!!!!!!!!)","")
46 article_text = article_text.replace("\\r\\n", "\n")
47 article_text = article_text.replace("免费小说", "")
48 article_text = article_text.replace("www.huaidan4.com", "")
49 article_text = article_text.replace("neirong_2();", "")
50 article_text = article_text.replace("dibutuijian();", "")
51 article_text = article_text.replace("◎欢迎参与讨论,请在这里发表您的看法、交流您的观点。", "")
52 article_text = article_text.replace("《坏蛋是怎样炼成的4》是继曹三少坏蛋是怎样炼成的3的又一作品,作者是曹三少,如果你喜欢坏蛋是怎样炼成的4,请收藏本站以便下次阅读。","")
53 article_text = re.sub('/?\s+', '', article_text)
54
55 #保存文件
56 self.save_article(article_title,create_time,str(article_text))
57
58 #保存文件的方法
59 def save_article(self,article_title,create_time,article_text):
60 biaoti = re.sub('\W+','-',article_title)
61 with open(biaoti+'.txt','w',encoding='utf-8') as file:
62 neirong = (article_title+'\n'+create_time+'\n'+article_text)
63 file.write(neirong)
64 file.close()
以上内容初步完成了把文章保存在本地
---------------------------------------------------------------------------------------------------------------------------------------------------------------
下面内容完成把文章保存到mysql数据库
items.py负责存放爬取节点数据
import scrapy class HuaidanItem(scrapy.Item):
catalogues=scrapy.Field()
id=scrapy.Field()
article_title = scrapy.Field()
article_text = scrapy.Field()
create_time = scrapy.Field()
piplines负责处理items里的内容
# -*- coding: utf-8 -*- import pymysql
from twisted.enterprise import adbapi # 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
#from scrapy.pipelines.images import ImagesPipeline
#from scrapy.pipelines.files import FilesPipeline class HuaidanPipeline(object):
def process_item(self, item, spider):
return item #直接插入到mysql数据库
class MysqlPiplines(object):
def __init__(self):
self.db=pymysql.connect(host="192.168.7.5",user="huaidan",password="huaidan123",database="huaidan",charset = 'utf8')
self.cursor=self.db.cursor() def process_item(self, item, spider):
self.insert(item["catalogues"],int(item["id"]),item["article_title"],item["create_time"],item["article_text"])
return item def insert(self,catalogues,id,article_title,create_time,article_text):
selectsql="select id from diyijuan where id = %d " \
" union select id from dierjuan where id =%d" \
" union select id from disanjuan where id =%d" \
" union select id from other where id =%d " % (id,id,id,id)
self.cursor.execute(selectsql)
if self.cursor.fetchone() is None:
insertsql="insert into %s values (%d,'%s','%s','%s');" % (catalogues,id,article_title,create_time,article_text)
try:
self.cursor.execute(insertsql)
self.db.commit()
except:
self.db.rollback() def spider_closed(self,spider):
self.db.close() #异步插入到mysql数据库
class MysqlTwisted(object):
def __init__(self,dbpool):
self.dbpool = dbpool @classmethod
def from_settings(cls,settings):
dbparms = dict(
host = settings["MYSQL_HOST"],
user = settings["MYSQL_USER"],
passwd = settings["MYSQL_PASSWORD"],
db = settings["MYSQL_DBNAME"],
charset = 'utf8',
cursorclass = pymysql.cursors.DictCursor,
use_unicode = True,
) dbpool=adbapi.ConnectionPool("pymysql", **dbparms)
return cls(dbpool) # 使用twisted讲mysql插入变成异步执行
def process_item(self, item, spider):
query = self.dbpool.runInteraction(self.do_insert,item)
query.addErrback(self.handle_error) # 处理异步插入异常
def handle_error(self,faileure):
print(faileure) # 执行具体的插入
def do_insert(self,cursor,item):
#查询id是否已经存在
id=int(item["id"])
selectsql = "select id from diyijuan where id = %d " \
" union select id from dierjuan where id =%d" \
" union select id from disanjuan where id =%d" \
" union select id from other where id =%d " % (id,id,id,id)
cursor.execute(selectsql)
#如果执行不成功,代表不存在数据库。则执行插入步骤
if cursor.fetchone() is None:
insertsql = "insert into %s values (%d,'''%s''','''%s''','''%s''');" % (
item["catalogues"], id, item["article_title"], item["create_time"], item["article_text"]) cursor.execute(insertsql) class myarticlepipline(object):
def process_item(self, item, spider): return item
settings.py负责存放整体设置
# -*- coding: utf-8 -*-
import os
# Scrapy settings for huaidan 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 = 'huaidan' SPIDER_MODULES = ['huaidan.spiders']
NEWSPIDER_MODULE = 'huaidan.spiders' # Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'huaidan (+http://www.yourdomain.com)' # 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://doc.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',
#} # Enable or disable spider middlewares
# See https://doc.scrapy.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
# 'huaidan.middlewares.HuaidanSpiderMiddleware': 543,
#} # Enable or disable downloader middlewares
# See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
# 'huaidan.middlewares.HuaidanDownloaderMiddleware': 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
#下面内容代表执行piplines动作顺序,数字越小,越先执行。
ITEM_PIPELINES = {
#'huaidan.pipelines.HuaidanPipeline': 300,
#'scrapy.pipelines.files.FilesPipeline':2,
#'huaidan.pipelines.myarticlepipline':1,
#'huaidan.pipelines.MysqlPiplines':2, #直接插入到mysql数据库的方法
'huaidan.pipelines.MysqlTwisted':1, #异步插入到mysql数据库的方法
}
project_dir = os.path.abspath(os.path.dirname(__file__))
FILES_URLS=FIELD =""
FILES_STORE = os.path.join(project_dir,'files') # 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' #把数据库信息存放到settings里可以直接调用
MYSQL_HOST = "192.168.7.5"
MYSQL_DBNAME = "huaidan"
MYSQL_USER = "huaidan"
MYSQL_PASSWORD = "huaidan123"
scrapy爬取《坏蛋是怎样练成的4》的更多相关文章
- 【转载】教你分分钟学会用python爬虫框架Scrapy爬取心目中的女神
原文:教你分分钟学会用python爬虫框架Scrapy爬取心目中的女神 本博文将带领你从入门到精通爬虫框架Scrapy,最终具备爬取任何网页的数据的能力.本文以校花网为例进行爬取,校花网:http:/ ...
- 第三百三十四节,web爬虫讲解2—Scrapy框架爬虫—Scrapy爬取百度新闻,爬取Ajax动态生成的信息
第三百三十四节,web爬虫讲解2—Scrapy框架爬虫—Scrapy爬取百度新闻,爬取Ajax动态生成的信息 crapy爬取百度新闻,爬取Ajax动态生成的信息,抓取百度新闻首页的新闻rul地址 有多 ...
- Scrapy爬取美女图片续集 (原创)
上一篇咱们讲解了Scrapy的工作机制和如何使用Scrapy爬取美女图片,而今天接着讲解Scrapy爬取美女图片,不过采取了不同的方式和代码实现,对Scrapy的功能进行更深入的运用.(我的新书< ...
- python scrapy爬取HBS 汉堡南美航运公司柜号信息
下面分享个scrapy的例子 利用scrapy爬取HBS 船公司柜号信息 1.前期准备 查询提单号下的柜号有哪些,主要是在下面的网站上,输入提单号,然后点击查询 https://www.hamburg ...
- scrapy 爬取纵横网实战
前言 闲来无事就要练练代码,不知道最近爬取什么网站好,就拿纵横网爬取我最喜欢的雪中悍刀行练手吧 准备 python3 scrapy 项目创建: cmd命令行切换到工作目录创建scrapy项目 两条命 ...
- 如何提升scrapy爬取数据的效率
在配置文件中修改相关参数: 增加并发 默认的scrapy开启的并发线程为32个,可以适当的进行增加,再配置文件中修改CONCURRENT_REQUESTS = 100值为100,并发设置成了为100. ...
- 提高Scrapy爬取效率
1.增加并发: 默认scrapy开启的并发线程为32个,可以适当进行增加.在settings配置文件中修改CONCURRENT_REQUESTS = 100值为100,并发设置成了为100. 2.降低 ...
- scrapy爬取效率提升配置
增加并发: 默认scrapy开启的并发线程为32个,可以适当进行增加.在settings配置文件中修改CONCURRENT_REQUESTS = 100值为100,并发设置成了为100. 降低日志级别 ...
- 提高scrapy爬取效率配置
提高scrapy爬取效率配置 #增加并发: 默认scrapy开启的并发线程为32个,可以适当进行增加.在settings配置文件中修改CONCURRENT_REQUESTS = 100值为100,并发 ...
- Scrapy爬取美女图片 (原创)
有半个月没有更新了,最近确实有点忙.先是华为的比赛,接着实验室又有项目,然后又学习了一些新的知识,所以没有更新文章.为了表达我的歉意,我给大家来一波福利... 今天咱们说的是爬虫框架.之前我使用pyt ...
随机推荐
- 我以订披萨为例,给女朋友详细讲了Java设计模式的3种工厂模式
摘要:工厂模式是将实例化对象的代码提取出来,放到一个类中统一管理和维护,达到和主项目的依赖关系的解耦.从而提高项目的扩展和维护性. 本文分享自华为云社区<[Java设计模式]用 披萨订购案例 详 ...
- [C 语言基础] 如何调用不同文件中的函数
很多时候需要将实现不同功能的函数或者与某个模块有关的函数写在一个文件里.这样有两个好处: 1. 方便以后调用:以后需要用到这个模块,或者这类函数,直接将相关文件复制过去,再稍微修改一下就能应用于不同场 ...
- Android学习笔记4
activity配置文件 //AndroidMainifest.xml <?xml version="1.0" encoding="utf-8"?> ...
- 【记录一个问题】android下opencl中的event.getProfilingInfo()测速时间并不准确
使用了类似的代码来做android下opencl的时间测试: cl::CommandQueue queue(context, devices[0], CL_QUEUE_PROFILING_ENABLE ...
- Go 变量及基本数据类型2
#### Go 变量及基本数据类型(二)今天学习一下基本数据类型,包括整数类型,小数类型,字符类型##### 整数类型用来存放整数数值的, 如0,1,-10,2222等; 整数型的类型有: 类型 有无 ...
- Filter-FilterChain多个过滤器执行的细节
FilterChain过滤器链 Filter 过滤器 Chain 链 FilterChain 就是过滤器链(多个过滤器如何一起工作) 在多个filter过滤器执行时,执行优先顺序由web.xm ...
- java多态转型II
1 package face_09; 2 3 /* 4 * 毕老师和毕姥爷的故事. 5 */ 6 class 毕姥爷 { 7 void 讲课() { 8 System.out.println(&quo ...
- JavaWeb后端工程师技能图
- python基础详解
python基础部分 python基础一 python基础二 Python最详细,最深入的代码块小数据池剖析 深浅copy python文件操作 python函数部分 python函数初识 pytho ...
- ApacheCN C/C++ 译文集 20211201 更新
笨办法学C 中文版 前言 导言:C的笛卡尔之梦 练习0:准备 练习1:启用编译器 练习2:用Make来代替Python 练习3:格式化输出 练习4:Valgrind 介绍 练习5:一个C程序的结构 练 ...