精通python网络爬虫之自动爬取网页的爬虫 代码记录
items的编写
# -*- 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 AutopjtItem(scrapy.Item):
# define the fields for your item here like:
# 用来存储商品名
name = scrapy.Field()
#用来存储商品价格
price = scrapy.Field()
# 用来存储商品链接
link = scrapy.Field()
# 用来存储商品评论数
comnum = scrapy.Field()
# 用来存储商品评论内容链接
comnum_link = scrapy.Field()
piplines的编写
# -*- coding: utf-8 -*-
import codecs
import json
# 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 AutopjtPipeline(object):
def __init__(self):
self.file = codecs.open("D:/git/learn_scray/day11/1.json", "wb", encoding="utf-8") def process_item(self, item, spider):
# 爬取当前页的所有信息
for i in range(len(item["name"])):
name = item["name"][i]
price = item["price"][i]
link = item["link"][i]
comnum = item["comnum"][i]
comnum_link = item["comnum_link"][i]
current_conent = {"name":name,"price":price,"link":link,
"comnum":comnum,"comnum_link":comnum_link}
j = json.dumps(dict(current_conent),ensure_ascii=False)
# 为每条数据添加换行
line = j + '\n'
print(line)
self.file.write(line)
# for key,value in current_conent.items():
# print(key,value)
return item def close_spider(self,spider):
self.file.close()
自动爬虫编写实战
# -*- coding: utf-8 -*-
import scrapy
from autopjt.items import AutopjtItem
from scrapy.http import Request class AutospdSpider(scrapy.Spider):
name = 'autospd'
allowed_domains = ['dangdang.com']
# 当当地方特产
start_urls = ['http://category.dangdang.com/pg1-cid10010056.html'] def parse(self, response):
item = AutopjtItem()
print("进入item")
# print("获取标题:")
# 获取标题
item["name"] = response.xpath("//p[@class='name']/a/@title").extract()
# print(title) # print("获取价格:")
# 价格
item["price"] = response.xpath("//span[@class='price_n']/text()").extract()
# print(price) # print("获取商品链接:")
# 获取商品链接
item["link"] = response.xpath("//p[@class='name']/a/@href").extract()
# print(link) # print("\n")
# print("获取商品评论数:")
# 获取商品评论数
item["comnum"] = response.xpath("//a[@name='itemlist-review']/text()").extract()
# comnum = response.xpath("//a[@name='itemlist-review']/text()").extract()
# print(comnum) # print("获取商品评论数链接:")
# 获取商品评论数链接
item["comnum_link"] = response.xpath("//a[@name='itemlist-review']/@href").extract()
# comnum_link = response.xpath("//a[@name='itemlist-review']/@href").extract()
# print(comnum_link)
yield item
for i in range(1,79):
# print(i)
url = "http://category.dangdang.com/pg"+ str(i) + "-cid10010056.html"
# print(url)
yield Request(url, callback=self.parse)
yield详解:
https://stackoverflow.com/questions/231767/what-does-the-yield-keyword-do
settings的设置:
# -*- coding: utf-8 -*- # Scrapy settings for autopjt 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 = 'autopjt' SPIDER_MODULES = ['autopjt.spiders']
NEWSPIDER_MODULE = 'autopjt.spiders' # Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'autopjt (+http://www.yourdomain.com)' # Obey robots.txt rules
# 默认为true遵守robots.txt协议 我试了一下能爬 为了保险设置为false
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
# 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 = {
# 'autopjt.middlewares.AutopjtSpiderMiddleware': 543,
#} # Enable or disable downloader middlewares
# See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
# 'autopjt.middlewares.AutopjtDownloaderMiddleware': 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 = {
'autopjt.pipelines.AutopjtPipeline': 300,
} # 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'
最后的效果:

精通python网络爬虫之自动爬取网页的爬虫 代码记录的更多相关文章
- python爬取网页的通用代码框架
python爬取网页的通用代码框架: def getHTMLText(url):#参数code缺省值为‘utf-8’(编码方式) try: r=requests.get(url,timeout=30) ...
- python(27)requests 爬取网页乱码,解决方法
最近遇到爬取网页乱码的情况,找了好久找到了种解决的办法: html = requests.get(url,headers = head) html.apparent_encoding html.enc ...
- 【Python网络爬虫三】 爬取网页新闻
学弟又一个自然语言处理的项目,需要在网上爬一些文章,然后进行分词,刚好牛客这周的是从一个html中找到正文,就实践了一下.写了一个爬门户网站新闻的程序 需求: 从门户网站爬取新闻,将新闻标题,作者,时 ...
- 爬虫-----selenium模块自动爬取网页资源
selenium介绍与使用 1 selenium介绍 什么是selenium?selenium是Python的一个第三方库,对外提供的接口可以操作浏览器,然后让浏览器完成自动化的操作. sel ...
- python爬虫学习(7) —— 爬取你的AC代码
上一篇文章中,我们介绍了python爬虫利器--requests,并且拿HDU做了小测试. 这篇文章,我们来爬取一下自己AC的代码. 1 确定ac代码对应的页面 如下图所示,我们一般情况可以通过该顺序 ...
- [原创]python爬虫之BeautifulSoup,爬取网页上所有图片标题并存储到本地文件
from bs4 import BeautifulSoup import requests import re import os r = requests.get("https://re. ...
- 爬虫系列----scrapy爬取网页初始
一 基本流程 创建工程,工程名称为(cmd):firstblood: scrapy startproject firstblood 进入工程目录中(cmd):cd :./firstblood 创建爬虫 ...
- Python学习--两种方法爬取网页图片(requests/urllib)
实际上,简单的图片爬虫就三个步骤: 获取网页代码 使用正则表达式,寻找图片链接 下载图片链接资源到电脑 下面以博客园为例子,不同的网站可能需要更改正则表达式形式. requests版本: import ...
- 《精通python网络爬虫》笔记
<精通python网络爬虫>韦玮 著 目录结构 第一章 什么是网络爬虫 第二章 爬虫技能概览 第三章 爬虫实现原理与实现技术 第四章 Urllib库与URLError异常处理 第五章 正则 ...
随机推荐
- 正则表达式匹配:根据key获取value
需求 url请求html字符串,dytk值写在js里,可以看成是key-value的格式,需要提取dytk值. 解决方法 正则匹配 private string get_dytk(string htm ...
- Shell脚本调用Oralce数据库SQL文生产日志
#!/bin/shexport LANG="zh.CN.GBK" echo -n "******************************************* ...
- ios设备屏幕尺寸与分辨率
iOS 设备的屏幕尺寸.分辨率及其屏幕边长比例详细情况是怎样的? 根据屏幕尺寸和分辨率,ios现在数起来有6个版本.一,3GS:二,4s为代表:三,iphone5:四,ipad2为代表:五,ipad4 ...
- 牛客网NOIP赛前集训营-提高组(第三场)A 管道维修
https://www.nowcoder.com/acm/contest/174/A 这个的话 一个位置被清理的时间就是它到空白格子/边界的最短路对吧qww 然后求期望的话 假设它在第i步被清理掉的 ...
- [Redis]ResponseError: Client sent AUTH, but no password is set
由于在代码中给redis添加了密码,如下 redis_store = redis.Redis(host='localhost', port=6379, db=4, password='root') 然 ...
- Python9-文件操作-day8
# 1.文件路径:d:\xxx.txt# 绝对路径:从根目录开始# 想对路径:当前文件下# 2.编码方式:utf-8/gbk...# 3.操作方式:只读.只写.追加.读写.写读..... f=open ...
- (转)iOS 属性字符串
富文本的基本数据类型是NSAttributedString.**属性化字符串**(attributed string)是把属性设置到某些字符上的字符串.属性可以是任何键值对,但是为了实现富文本,则通常 ...
- JavaScript正则表达式-RegExp对象
RegExp对象方法 exec():与String对象的match()方法功能相同. 参数为被搜索字符串.返回数组或null. test():与String对象的search()方法功能相同. 参数为 ...
- leetcode刷题——查找
知识点 备忘-必备算法 题目 顺序查找 二分查找 树表搜索 广度优先搜索算法(BFS) 深度优先搜索算法(DFS) 回溯(Backtracking) 题解 CS-Notes Algorithm_Int ...
- skkyk:线段树浅谈
推荐前辈学姐博客文章,写的很细 https://www.cnblogs.com/TheRoadToTheGold/p/6254255.html 学学半,此随笔主要是加深自己对线段树的理解 题目:洛谷P ...