Python之CrawlSpider

鱼找水需要时间

发布于 2023-02-16 18:36:12

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代码可运行

文章被收录于专栏：SpringBoot教程

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代码可运行

CrawlSpider继承自scrapy.Spider

CrawlSpider可以定义规则，再解析html内容的时候，可以根据链接规则提取出指定的链接，然后再向这些链接发送请求所以，如果有需要跟进链接的需求，意思就是爬取了网页之后，需要提取链接再次爬取，使用CrawlSpider是非常合适的

提取链接

链接提取器，在这里就可以写规则提取指定链接

scrapy.linkextractors.LinkExtractor(

allow = (), # 正则表达式提取符合正则的链接
deny = (), # (不用)正则表达式不提取符合正则的链接
allow_domains = (), # （不用）允许的域名
deny_domains = (), # （不用）不允许的域名
restrict_xpaths = (), # xpath，提取符合xpath规则的链接
restrict_css = () # 提取符合选择器规则的链接)

示例：

正则用法：links1 = LinkExtractor(allow=r'list_23_\d+\.html') 
xpath用法：links2 = LinkExtractor(restrict_xpaths=r'//div[@class="x"]') 
css用法：links3 = LinkExtractor(restrict_css='.x')

提取连接：

link.extract_links(response)

注意事项

【注1】callback只能写函数名字符串, callback='parse_item'

【注2】在基本的spider中，如果重新发送请求，那里的callback写的是 callback=self.parse_item

，follow=true 是否跟进就是按照提取连接规则进行提取

案例

1.创建项目：scrapy startproject scrapy_crawlspider

2.跳转到spiders路径 cd\scrapy_crawlspider\scrapy_crawlspider\spiders

3.创建爬虫类：scrapy genspider ‐t crawl read www.dushu.com

read.py

import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from scrapy_crawlspider.items import ScrapyCrawlspiderItem


class ReadSpider(CrawlSpider):
    name = 'read'
    allowed_domains = ['www.dushu.com']
    start_urls = ['https://www.dushu.com/book/1188_1.html']

    rules = (
        Rule(LinkExtractor(allow=r'/book/1188_\d+.html'),
             callback='parse_item',
             follow=False),
    )

    def parse_item(self, response):
        img_list = response.xpath('//div[@class="bookslist"]//img')

        for img in img_list:
            name = img.xpath('./@data-original').extract_first()
            src = img.xpath('./@alt').extract_first()
            if name == None:
                name = img.xpath('./@src').extract_first()
            print(name + src)
            book = ScrapyCrawlspiderItem(name=name, src=src)
            yield book

follow为True代表一直跟下去，直到没有页数，为False代表之爬取1-13页

items.py

class ScrapyCrawlspiderItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    name = scrapy.Field()
    src = scrapy.Field()

pipelines.py

class ScrapyCrawlspiderPipeline:
    def open_spider(self, spider):
        self.fp = open('book.json', 'w', encoding='utf-8')

    def process_item(self, item, spider):
        self.fp.write(str(item))
        return item

    def close_spider(self, spider):
        self.fp.close()

settings.py开启管道

ITEM_PIPELINES = {
   'scrapy_crawlspider.pipelines.ScrapyCrawlspiderPipeline': 300
}

数据入库

首先安装pip isntall pymysql

1、settings配置参数

# 
DB_HOST = '127.0.0.1'
# 端口号是一个整数
DB_PORT = 3306
DB_USER = 'root'
DB_PASSWROD = '123456'
DB_NAME = 'py_bd'
# utf-8的杠不允许写
DB_CHARSET = 'utf8'

# 开启管道
ITEM_PIPELINES = {
   'scrapy_crawlspider.pipelines.ScrapyCrawlspiderPipeline': 300
   'scrapy_crawlspider.pipelines.MysqlPipeline': 301,
}

2、管道配置

# 加载settings文件
from scrapy.utils.project import get_project_settings
import pymysql


class MysqlPipeline:

    def open_spider(self, spider):
        settings = get_project_settings()
        self.host = settings['DB_HOST']
        self.port = settings['DB_PORT']
        self.user = settings['DB_USER']
        self.password = settings['DB_PASSWROD']
        self.name = settings['DB_NAME']
        self.charset = settings['DB_CHARSET']

        self.connect()

    def connect(self):
        self.conn = pymysql.connect(
            host=self.host,
            port=self.port,
            user=self.user,
            password=self.password,
            db=self.name,
            charset=self.charset
        )

        self.cursor = self.conn.cursor()

    def process_item(self, item, spider):
    	# 数据库提前建好这张表
        sql = 'insert into test_book(name,src) values("{}","{}")'.format(item['name'], item['src'])
        # 执行sql语句
        self.cursor.execute(sql)
        # 提交
        self.conn.commit()

        return item

    def close_spider(self, spider):
        self.cursor.close()
        self.conn.close()

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原始发表：2022-07-03，如有侵权请联系 cloudcommunity@tencent.com 删除

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