python学习笔记9---scrapy框架

最新推荐文章于 2024-09-28 16:30:03 发布
最新推荐文章于 2024-09-28 16:30:03 发布
阅读量244 收藏
点赞数
CC 4.0 BY-SA版权
分类专栏： python
版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。
本文链接：https://blog.youkuaiyun.com/qq_32482091/article/details/89848609

糗事百科段子之scrapy爬虫

前期工作

  1. 创建项目：进入cmd中，切换路径到某个工作目录下，创建项目scrapy startproject 项目名称
  2. 创建爬虫文件：首先到上述创建项目的目录下cd 项目名称，scrapy genspider 爬虫的名称 网站域名
  3. 对于出现的多个py文件内容如下

qsbk_spider.py

# -*- coding: utf-8 -*-
'''
response是一个‘scrapy.http.response.html.HtmlResponse’对象，可以执行‘xpath’，‘css’语法提取数据
提取出的数据，是‘Selector’或‘SelectorList’对象。如果想获取其中的字符串。则执行get或getall方法
getall获取selector的所有文本，返回一个列表
get获取selector的第一个文本，返回一个str
pipeline：保存数据，其中三个方法常用到：open_spider(self,spider)、process_item(self,item,spider)、close_spider(self,spider)
在setting.py中激活pipline
'''
import scrapy
from scrapy.selector.unified import SelectorList
from qsbk.items import QsbkItem

class QsbkSpiderSpider(scrapy.Spider):
    name = 'qsbk_spider'
    allowed_domains = ['qiushibaike.com']
    start_urls = ['https://www.qiushibaike.com/text/page/1/']
    base_domin = "https://www.qiushibaike.com"

    def parse(self, response):
        # SelectorList
        duanzis=response.xpath("//div[@id='content-left']/div")
        for duanzi in duanzis:
        # selector
            author = duanzi.xpath(".//h2/text()").get().strip() 
            content =  duanzi.xpath(".//div[@class='content']/span//text()").getall()#返回列表
            content = "".join(content).strip()
            item = QsbkItem(author=author,content=content)
            yield item
        next_url = response.xpath("//ul[@class='pagination']/li[last()]/a/@href").get()
        if not next_url:#当next_url为False时，return
            return
        else:
            yield scrapy.Request(self.base_domin+next_url,callback=self.parse)

items.py

import scrapy


class QsbkItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    author  = scrapy.Field()
    content = scrapy.Field()

pipelines.py

# -*- coding: utf-8 -*-
'''
保存json数据时，使用以下两个类，操作更简单
1.JsonItemExporter:每次把数据添加到内存中，最后统一写入磁盘中。优点是存储的数据满足json规则，缺点是不适合数据量较大的数据
2.JsonLinesItemExporter：每次调用export_item时把item存储到硬盘中。优点是适合处理数据量大的情况，数据也比较安全，缺点是每一个字典一行，整个文件不满足json格式
'''
# 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

# =============================================================================
# import json
# class QsbkPipeline(object):
#     def __init__(self):
#         #也可以在open_spider中
#         self.fp = open("duanzi.json","w",encoding='utf-8')
#         
#     def open_spider(self,spider):
#         print('爬虫开始。。。')
#     def process_item(self, item, spider):
#         item_json=json.dumps(dict(item),ensure_ascii=False)
#         self.fp.write(item_json+'\n')
#         return item
#     def close_spider(self,spider):
#         self.fp.close()
#         print('爬虫结束。。。')
#         
# =============================================================================
        
# =============================================================================
# from scrapy.exporters import JsonItemExporter
# 
# class QsbkPipeline(object):
#     def __init__(self):
#         #也可以在open_spider中
#         self.fp = open("duanzi.json","wb")
#         self.exporter = JsonItemExporter(self.fp,ensure_ascii=False,encoding='utf-8')
#         self.exporter.start_exporting()
#         
#     def open_spider(self,spider):
#         print('爬虫开始。。。')
#         
#     def process_item(self, item, spider):
#         self.exporter.export_item(item)
#         return item
#     
#     def close_spider(self,spider):
#         self.exporter.finish_exporting()
#         self.fp.close()
#         print('爬虫结束。。。')
#  
# =============================================================================

       
from scrapy.exporters import JsonLinesItemExporter

class QsbkPipeline(object):
    def __init__(self):
        #也可以在open_spider中
        self.fp = open("duanzi.json","wb")
        self.exporter = JsonLinesItemExporter(self.fp,ensure_ascii=False,encoding='utf-8')
        
    def open_spider(self,spider):
        print('爬虫开始。。。')
        
    def process_item(self, item, spider):
        self.exporter.export_item(item)
        return item
    
    def close_spider(self,spider):
        self.fp.close()
        print('爬虫结束。。。')

settings.py

# -*- coding: utf-8 -*-

# Scrapy settings for qsbk 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 = 'qsbk'

SPIDER_MODULES = ['qsbk.spiders']
NEWSPIDER_MODULE = 'qsbk.spiders'


# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'qsbk (+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 = 1
# 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 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.67 Safari/537.36",
}

# Enable or disable spider middlewares
# See https://doc.scrapy.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
#    'qsbk.middlewares.QsbkSpiderMiddleware': 543,
#}

# Enable or disable downloader middlewares
# See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
#    'qsbk.middlewares.QsbkDownloaderMiddleware': 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 = {
    'qsbk.pipelines.QsbkPipeline': 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'

微信小程序爬虫之CrawlSpider

wxapp_spider.py

# -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from wxapp.items import WxappItem

class WxappSpiderSpider(CrawlSpider):
    name = 'wxapp_spider'
    allowed_domains = ['wxapp-union.com']
    start_urls = ['http://www.wxapp-union.com/portal.php?mod=list&catid=2&page=1']

    rules = (
        Rule(LinkExtractor(allow=r'.+mod=list&catid=2&page=\d'), follow=True),
        Rule(LinkExtractor(allow=r'.+article-.+\.html'),callback='parse_item',follow=False)
    
    )

    def parse_item(self, response):
        title=response.xpath("//h1[@class='ph']/text()").get()
        author_p = response.xpath("//p[@class='authors']")
        author = author_p.xpath(".//a/text()").get()
        pub_time = author_p.xpath(".//span/text()").get()
        content = response.xpath("//td[@id='article_content']//text()").getall()
        content = "".join(content).strip()
        item = WxappItem(title=title,author=author,pub_time=pub_time,content=content)
        yield item

items.py

# -*- 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 WxappItem(scrapy.Item):
    # define the fields for your item here like:
    title = scrapy.Field()
    author = scrapy.Field()
    pub_time = scrapy.Field()
    content = scrapy.Field()

pipelines.py

# -*- coding: utf-8 -*-

# 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.exporters import JsonLinesItemExporter

class WxappPipeline(object):
    def __init__(self):
        self.fp = open('wxjc.json','wb')
        self.exporter = JsonLinesItemExporter(self.fp,ensure_ascii=False,encoding='utf-8')
        
    def process_item(self, item, spider):
        self.exporter.export_item(item)
        return item
    
    def close_spider(self,spider):
        self.fp.close()

settings.py

# -*- coding: utf-8 -*-

# Scrapy settings for wxapp 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 = 'wxapp'

SPIDER_MODULES = ['wxapp.spiders']
NEWSPIDER_MODULE = 'wxapp.spiders'


# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'wxapp (+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 = 1
# 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 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.67 Safari/537.36",

}

# Enable or disable spider middlewares
# See https://doc.scrapy.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
#    'wxapp.middlewares.WxappSpiderMiddleware': 543,
#}

# Enable or disable downloader middlewares
# See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
#    'wxapp.middlewares.WxappDownloaderMiddleware': 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 = {
    'wxapp.pipelines.WxappPipeline': 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'

51jobpython岗位爬虫之CrawlSpider

wyjob_spider.py

# -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from wyjob.items import WyjobItem

class WyjobSpiderSpider(CrawlSpider):
    name = 'wyjob_spider'
    allowed_domains = ['51job.com']
    start_urls = ['https://search.51job.com/list/000000,000000,0000,00,9,99,python,2,1.html']

    rules = (
        Rule(LinkExtractor(allow=r'.+list/000000,000000,0000,00,9,99,python,2,\d\.html'), follow=True),
        Rule(LinkExtractor(allow=r'https://jobs.51job.com/.+\d\.html\?s=01&t=0'),callback='parse_item',follow=False)
    )

    def parse_item(self, response):
        title = response.xpath("//div[@class='cn']/h1/text()").get().strip()
        
        salary = response.xpath("//div[@class='cn']/strong/text()").get()
        company = response.xpath("//p[@class='cname']/a/text()").get().strip()
        base_info = response.xpath("//p[@class='msg ltype']//text()").getall()#列表
        base_info ="".join(base_info)#列表转字符串
        location = base_info.split("|")[0].strip()
        workyears = base_info.split("|")[1].strip()
        education = base_info.split("|")[2].strip()
        position_info = response.xpath("//div[@class='bmsg job_msg inbox']/p//text()").getall()
        position_info = "".join(position_info).strip()
        item = WyjobItem(title=title,salary=salary,company=company,location=location,workyears=workyears,education=education,position_info=position_info)
        yield item

items.py

# -*- 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 WyjobItem(scrapy.Item):
    title = scrapy.Field()
    salary = scrapy.Field()
    company = scrapy.Field()
    location = scrapy.Field()
    workyears = scrapy.Field()
    education = scrapy.Field()
    position_info = scrapy.Field()

pipelines.py

# -*- coding: utf-8 -*-

# 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.exporters import JsonLinesItemExporter

class WyjobPipeline(object):
    def __init__(self):
        self.fp =open('wyjob.json',"wb")
        self.exporter = JsonLinesItemExporter(self.fp,ensure_ascii=False,encoding='utf-8')
        
    def process_item(self, item, spider):
        self.exporter.export_item(item)        
        return item
    
    def close_item(self,spider):
        self.fp.close()

settings.py

# -*- coding: utf-8 -*-

# Scrapy settings for wyjob 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 = 'wyjob'

SPIDER_MODULES = ['wyjob.spiders']
NEWSPIDER_MODULE = 'wyjob.spiders'


# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'wyjob (+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 = 1
# 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 = {
#    'wyjob.middlewares.WyjobSpiderMiddleware': 543,
#}

# Enable or disable downloader middlewares
# See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
#    'wyjob.middlewares.WyjobDownloaderMiddleware': 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 = {
    'wyjob.pipelines.WyjobPipeline': 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'
python学习笔记--python知识汇总
weixin_42264784的博客
01-07 938
‌。）的类方法：在创建对象时，我们不直接使用。
【Python爬虫--scrapy+selenium框架】超详细的Python爬虫scrapy+selenium框架学习笔记（保姆级别的，非常详细）
m0_67844671的博客
05-31 6612
Python爬虫--scrapy+selenium框架】超详细的Python爬虫scrapy+selenium框架学习笔记（保姆级别的，非常详细）
TS-JOB 调度工具
大西瓜的博客
05-18 313
一个轻量级的调度工具，自带简易页面，配置方便。可以动态配置调度频率，随时启动、关闭调度，并记录执行状态。
什么是CICD
热门推荐
Penn Li的博客
07-17 30万+
什么是CICD一、简介二、持续集成（CI）三、持续交付（CD）四、持续部署（CD）五、下一步是什么？ 一、简介 CI / CD的采用改变了开发人员和测试人员如何发布软件。 最初是瀑布模型，后来是敏捷开发，现在是DevOps，这是现代开发人员构建出色的产品的技术路线。随着DevOps的兴起，出现了持续集成（Continuous Integration），**持续交付（Continuous Deli...
python爬虫学习笔记-scrapy框架(1)
weixin_36058228的博客
01-29 702
简介 什么是框架？ 所谓的框，其实说白了就是一个【项目的半成品】，该项目的半成品需要被集成了各种功能且具有较强的通用性。 Scrapy是一个为了爬取网站数据，提取结构性数据而编写的应用框架，非常出名，非常强悍。所谓的框架就是一个已经被集成了各种功能（高性能异步下载，队列，分布式，解析，持久化等）的具有很强通用性的项目模板。对于框架的学习，重点是要学习其框架的特性、各个功能的用法即可。 初期如何学习框架？ 只需要学习框架集成好的各种功能的用法即可！前期切勿钻研框架的源码！ 安装 Linux/mac系统：
Python-Scrapy框架基础学习笔记
一条咸鱼
09-15 497
Python-Scrapy框架基础学习笔记
Python 学习笔记1 - 认识Python
最新发布
qq_43470538的博客
09-28 1121
1989 年圣诞节期间，荷兰数学和计算机科学研究学会的Guido van Rossum（吉多.范罗苏姆）决心开发一个新的解释程序，作为 ABC 语言的替代品。这门ABC语言的替代语言被取名为Python,命名来自Guido爱看的的电视剧Monty Python's Flying Circus （蟒蛇马戏团）。Python 是一门解释型语言。计算机不能识别任何除了机器语言以外的语言，所以必须把程序员编写的程序翻译成机器语言，才能被计算机所执行。将其他语言翻译成机器语言的工具，被称为 编译器。
爬虫框架Scrapy学习笔记-2
记录我的学习历程
09-16 1970
Scrapy框架由多个组件组成，包括引擎、调度器、下载器、爬虫、项目管道以及中间件等，这些组件协同工作，使得爬取和处理数据变得高效而灵活。工作流程包括从引擎启动请求，经过调度器和下载器，然后由爬虫解析响应内容并提取数据，最后经过项目管道进行后续处理。Scrapy的工作流程可以类比为一个采集工厂，各个组件扮演不同的角色，协同完成数据的生产和处理过程。
python爬虫学习笔记-scrapy框架(2)
01-29
scrapy框架 爬虫学习 scrapy python爬虫学习 scrapy框架 爬虫学习 scrapy python爬虫学习 scrapy框架 爬虫学习 scrapypython爬虫学习 scrapy框架 爬虫学习python爬虫学习 scrapy框架 爬虫学习python爬虫学习 scrapy...
Scrapy学习笔记-Scrapy入门之创建爬虫
12-21
Scrapy是一个强大的Python爬虫框架，它为开发者提供了一套完整的工具集，使得构建网络爬虫变得简单高效。本文将深入讲解如何使用Scrapy创建一个基础的爬虫项目。 首先，要创建一个Scrapy项目，你需要在终端输入`...
python-scrapy框架学习笔记
CodeEggs的博客
04-22 323
- 创建工程： - scrapy startproject projectName(工程名称) - cd 进工程文件夹 - cd projectName - 在spiders子目录创建爬虫文件，终端命令如下： - scrapy genspider spiderName www.xxx.com - 其中 spiderName（爬虫文件名称） www.xxx.com （爬取网址） ...
python学习笔记6---数据解析
qq_32482091的博客
03-08 7034
xpath简介 xpath（XML Path Language）是一门在XML和HTML中查找信息的语言。 Xpath开发工具 1.Chrome插件Xpath Helper 点击浏览器右边三点—更多工具—扩展程序—chrome网上商店搜索该插件（需要翻墙，可能一次不能成功添加，多尝试即可） 2.Firefox插件Try Xpath 点击浏览器右边三横—附加组件—搜索插件—添加 Xpath语法 谓...
anaconda及代码运行时间
qq_32482091的博客
07-15 4048
Anaconda3代码自动补齐 点击Spyder菜单栏中的Tools—>preferences，选中左侧Ipython console ，然后选择右侧Advanced Settings选项卡，勾选Use the greedy completer,并将Autocall改为Full，点击OK保存。 Anaconda3代码提示 1、找到module_completion.py这个文件，我使用...
python学习笔记3---统计一个英文txt文件中出现频率最高的三个字母？
qq_32482091的博客
02-26 1640
统计一个英文txt文件中出现频率最高的三个字母？ 代码如下： res ={} #打开文件 with open('demo.txt') as f: #遍历(读）文件的内容，忽略空格 for char in f.read().replace(' ',''): # res[char] = res.get(char,0)+1 此处一行代码可以替换下面4行代码（不包括注释行） ...
Python Scrapy爬虫框架学习笔记
由于资源名称为studyScrapy.zip，其中包含的文件名仅有一个"studyScrapy"，这表明该压缩包可能仅包含一个文件或文件夹，内容应该是与Scrapy框架的学习笔记或代码示例。文件的描述中提到"第一次学习scrapy，把学习...
评论
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值