Scrapy全站抓取-个人博客

浅浅的花香味﹌ 2022-12-11 06:29 203阅读 0赞

# 一、概述 #

在之前的文章中，一般是抓取某个页面信息。那么如何抓取一整个网站的信息呢？

想像一下，首先我们需要解析一个网站的首页， 解析出其所有的资源链接(ajax方式或绑定dom事件实现跳转忽略)，请求该页面所有的资源链接， 再在资源链接下递归地查找子页的资源链接，最后在我们需要的资源详情页结构化数据并持久化在文件中。这里只是简单的介绍一下全站抓取的大致思路，事实上，其细节的实现，流程的控制是很复杂的。

下面我来演示一下，如何抓取一个个人网站的所有文章。

# 二、页面分析 #

以yzmcms博客为例，网址：[https://blog.yzmcms.com/][https_blog.yzmcms.com]

![e6165e078e8612aab69b33565e597b53.png][]

可以看到，首页有几个一级标题，比如：首页，前端，程序...

那么真正我们需要抓取的，主要要3个标题，分别是：前端，程序，生活。这里面都是博客文章，正是我们需要全部抓取的。

## 一级标题 ##

//ul/li[@class="menu-item menu-item-type-custom menu-item-object-custom  menu-item-has-children"]/a/text()

效果如下：

![5774155169d1088a27d0135fa7e84072.png][]

## 二级标题 ##

先打开前端分类，链接：[https://blog.yzmcms.com/qianduan/][https_blog.yzmcms.com_qianduan]

它主要3个二级分类

![0b5c7829de48dbd619a37b7a10079b9a.png][]

匹配规则

//li[@class="menu-item menu-item-type-custom menu-item-object-custom current-menu-item menu-item-has-children"]/ul/li/a/text()

效果如下：

![c0652e1e900cd40c8f1a9ecd0a4845d7.png][]

## 分页数 ##

我需要获取分页数，比如：5

![d657353c954ab3afd244666bea31b773.png][]

规则：

//div[@class="pages"]/span/strong[1]/text()

效果如下：

![7c25a3e1069a2936a736da3b7eaeb341.png][]

## 页面信息 ##

打开某个二级分类页面后，默认会展示10篇文章，我需要获取标题，作者，创建时间，浏览次数

## 标题 ##

以标题为例

//div[@class="content"]/article//h2/a/text()

效果如下：

![09f9cc227c45c7c8b07944efdfa8c9c6.png][]

其他的，比如作者之类的信息，在下文中的代码中会有的，这里就不多介绍了。

## 全站爬取流程 ##

![318eb08e721293d3eb579ff02f88189c.png][]

说明：

默认流程是：一级分类-->二级分类-->页面分页-->信息列表。

当一级分类下，没有二级分类时，就直接到页面分页-->信息列表。

通过这样，就可以抓取所有文章信息了。

# 三、项目演示 #

## 新建项目 ##

打开Pycharm，并打开Terminal，执行以下命令

scrapy startproject personal_blog
    cd personal_blog
    scrapy genspider blog blog.yzmcms.com

在scrapy.cfg同级目录，创建bin.py，用于启动Scrapy项目，内容如下：

#在项目根目录下新建：bin.py
    from scrapy.cmdline import execute
    # 第三个参数是：爬虫程序名
    execute(['scrapy', 'crawl', 'blog',"--nolog"])

创建好的项目树形目录如下：

./
    ├── bin.py
    ├── personal_blog
    │   ├── __init__.py
    │   ├── items.py
    │   ├── middlewares.py
    │   ├── pipelines.py
    │   ├── settings.py
    │   └── spiders
    │       ├── blog.py
    │       └── __init__.py
    └── scrapy.cfg

修改blog.py

# -*- coding: utf-8 -*-
    import scrapy
    from scrapy import Request  # 导入模块
    from personal_blog.items import PersonalBlogItem
    
    
    class BlogSpider(scrapy.Spider):
        name = 'blog'
        allowed_domains = ['blog.yzmcms.com']
        # start_urls = ['http://blog.yzmcms.com/']
        # 自定义配置，注意：变量名必须是custom_settings
        custom_settings = {
            'REQUEST_HEADERS': {
                'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/62.0.3202.75 Safari/537.36',
            }
        }
    
        def start_requests(self):
            print("开始爬取")
            r1 = Request(url="https://blog.yzmcms.com/",
                         headers=self.settings.get('REQUEST_HEADERS'), )
            yield r1
    
        def parse(self, response):
            print("返回响应，获取一级分类")
            # 获取一级分类
            category_name_list = response.xpath(
                '//ul/li[@class="menu-item menu-item-type-custom menu-item-object-custom  menu-item-has-children"]/a/text()').extract()
            print("category_name_list", category_name_list)
            # 获取一级分类url
            category_url_list = response.xpath(
                '//ul/li[@class="menu-item menu-item-type-custom menu-item-object-custom  menu-item-has-children"]/a/@href').extract()
            print("category_url_list", category_url_list)
            # 去除最后2个分类，因为它不是博客文章
            for i in range(2):
                category_name_list.pop()
                category_url_list.pop()
    
            # 构造字典
            category_dict = dict(zip(category_name_list, category_url_list))
            # category_dict = {"生活":"https://blog.yzmcms.com/shenghuo/"}
            print("category_dict",category_dict)
            for k, v in category_dict.items():
                # print(k,v)
                add_params = {}
                add_params['root'] = k
                add_params['root_url'] = v
                # 注意，这里要添加参数dont_filter=True，不去重。当二级分类为空时，下面的程序，还会调用一次。
                yield Request(url=v, headers=self.settings.get('REQUEST_HEADERS'),
                              callback=self.get_children, dont_filter=True,cb_kwargs=add_params)
                # break
    
        def get_children(self, response,root,root_url):
            """
            获取二级分类
            :param response:
            :param root: 一级分类名
            :param root_url: 一级分类url
            :return:
            """
            print("获取二级分类")
            try:
                children_name_list = response.xpath('//li[@class="menu-item menu-item-type-custom menu-item-object-custom current-menu-item menu-item-has-children"]/ul/li/a/text()').extract()
                print("root",root,"children_name_list",children_name_list)
    
                # 子分类url
                children_url_list = response.xpath(
                    '//li[@class="menu-item menu-item-type-custom menu-item-object-custom current-menu-item menu-item-has-children"]/ul/li/a/@href').extract()
                print("root", root, "children_url_list", children_url_list)
    
                children_dict = dict(zip(children_name_list,children_url_list))
                print("children_dict",children_dict)
                for k, v in children_dict.items():
                    print("kv",k,v)
                    add_params = {}
                    add_params['root'] = root
                    add_params['root_url'] = root_url
                    add_params['children'] = k
                    add_params['children_url'] = v
    
                    yield Request(url=v, headers=self.settings.get('REQUEST_HEADERS'),
                                  callback=self.get_page, cb_kwargs=add_params)
                    # break
    
                # 如果子分类为空时
                if not children_name_list:
                    print("子分类为空")
                    add_params = {}
                    add_params['root'] = root
                    add_params['root_url'] = root_url
                    add_params['children'] = None
                    add_params['children_url'] = None
    
                    yield Request(url=root_url, headers=self.settings.get('REQUEST_HEADERS'),
                                  callback=self.get_page, cb_kwargs=add_params)
    
            except Exception as e:
                print("获取子分类错误：",e)
    
        def get_page(self, response, root,root_url,children,children_url):
            """
            获取分页，不论是一级还是二级
            :param response:
            :param root: 一级分类名
            :param root_url: 一级分类url
            :param children: 二级分类名
            :param children_url: 二级分类url
            :return:
            """
            print("获取分页")
            # 获取分页数
            # //div[@class="pages"]/span/strong[1]/text()
            try:
                page_num = response.xpath('//div[@class="pages"]/span/strong[1]/text()').extract_first()
                print(root,root_url,children,children_url,"page_num", page_num)
    
                # 如果二级分类为空时
                if not children:
                    add_params = {}
                    add_params['root'] = root
                    yield Request(url=root_url, headers=self.settings.get('REQUEST_HEADERS'),
                                  callback=self.get_list_info, cb_kwargs=add_params)
    
                for i in range(1,int(page_num)+1):
                    # 当二级分类为空时
                    if not children_url:
                        url = "{}list_{}.html".format(root_url,i)
                    else:
                        url = "{}list_{}.html".format(children_url,i)
                    print("url",url)
                    add_params = {}
                    add_params['root'] = root
                    add_params['children'] = children
    
                    yield Request(url=url, headers=self.settings.get('REQUEST_HEADERS'),
                                  callback=self.get_list_info, cb_kwargs=add_params)
                    # break
            except Exception as e:
                print("获取分页错误：",e)
    
        def get_list_info(self, response, root,children):
            """
            获取页面信息，比如：标题，作者，创建时间，浏览次数
            :param response:
            :param root: 一级分类名
            :param children: 二级分类名
            :return:
            """
            print("获取页面信息")
            # title = response.xpath('//h2/a/text()').extract_first()
            # autho = response.xpath('//article/p/span[3]/text()').extract()
            node_list = response.xpath('//div[@class="content"]/article')
            # print("node_list",node_list)
            for node in node_list:
                try:
                    title = node.xpath('.//h2/a/text()').extract_first()
                    print("title",title)
                    author = node.xpath('.//p/span[1]/text()').extract()
                    if author:
                        author = author[1].strip()
                    print("author",author)
                    create_time = node.xpath('.//p/span[2]/text()').extract()
                    if create_time:
                        create_time = create_time[1].strip()
                    print("create_time",create_time)
                    # 浏览次数
                    hits_info = node.xpath('.//p/span[3]/text()').extract()
                    hits = 0
                    if hits_info:
                        hits_info = hits_info[1].strip()
                        cut_str = hits_info.split('次浏览')
                        hits = cut_str[0]
                    print("hits",hits)
    
                    item = PersonalBlogItem()
                    item['root'] = root
                    item['children'] = children
                    item['title'] = title
                    item['author'] = author
                    item['create_time'] = create_time
                    item['hits'] = hits
                    yield item
                except Exception as e:
                    print(e)

修改items.py

# -*- coding: utf-8 -*-
    
    # Define here the models for your scraped items
    #
    # See documentation in:
    # https://docs.scrapy.org/en/latest/topics/items.html
    
    import scrapy
    
    
    class PersonalBlogItem(scrapy.Item):
        # define the fields for your item here like:
        root = scrapy.Field()
        children = scrapy.Field()
        title = scrapy.Field()
        author = scrapy.Field()
        create_time = scrapy.Field()
        hits = scrapy.Field()

修改pipelines.py

# -*- coding: utf-8 -*-
    
    # 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
    import json
    
    class PersonalBlogPipeline(object):
        def __init__(self):
            # python3保存文件 必须需要'wb' 保存为json格式
            self.f = open("blog_pipline.json", 'wb')
    
        def process_item(self, item, spider):
            # 读取item中的数据 并换行处理
            content = json.dumps(dict(item), ensure_ascii=False) + ',\n'
            self.f.write(content.encode('utf=8'))
    
            return item
    
        def close_spider(self, spider):
            # 关闭文件
            self.f.close()

修改settings.py，应用pipelines

ITEM_PIPELINES = {
       'personal_blog.pipelines.PersonalBlogPipeline': 300,
    }

执行bin.py，启动爬虫项目，效果如下：

![f7456a8376d857596ca0173c2b20fdbd.png][]

查看文件blog\_pipline.json，内容如下：

![2bc0995d460f0c102eb4ef3a96ddb523.png][]

注意：本次访问的个人博客，可以获取到207条信息。

[https_blog.yzmcms.com]: https://blog.yzmcms.com/
[e6165e078e8612aab69b33565e597b53.png]: /images/20221123/f2612bae998940c7a17eacb1363f5e5f.png
[5774155169d1088a27d0135fa7e84072.png]: /images/20221123/e3b871bcca5147aa9dd899a682a74c53.png
[https_blog.yzmcms.com_qianduan]: https://blog.yzmcms.com/qianduan/
[0b5c7829de48dbd619a37b7a10079b9a.png]: /images/20221123/48837660498049cda2e2fa9c213e43f4.png
[c0652e1e900cd40c8f1a9ecd0a4845d7.png]: /images/20221123/4e43c491eafd436ab5e990f2bc03fa5b.png
[d657353c954ab3afd244666bea31b773.png]: /images/20221123/535758d69bde4552bed837a0c4a4d4e0.png
[7c25a3e1069a2936a736da3b7eaeb341.png]: /images/20221123/4935def34eab471b971df669e1ae1f91.png
[09f9cc227c45c7c8b07944efdfa8c9c6.png]: /images/20221123/5cc8d749f70644f8bf8bb75efae20266.png
[318eb08e721293d3eb579ff02f88189c.png]: /images/20221123/94857ad35add4665bf57a2d200a16a03.png
[f7456a8376d857596ca0173c2b20fdbd.png]: /images/20221123/c3a9da9d898844218744bcb11526e5c0.png
[2bc0995d460f0c102eb4ef3a96ddb523.png]: /images/20221123/cd893ac15300421fb2d277b4fddddddf.png