一个连续的scrapy

1.创建一个scrapy项目

scrapy startproject SpiderAnything

2.生成一个爬虫  itcash爬虫名字， itcash.cn爬虫范围

scrapy genspider tb 'taobao.com'

　　# 启动爬虫  or 创建py启动文件  ps:windows可通过 start /b python file.py  后台挂起

from scrapy import cmdline

# cmdline.execute("scrapy crawl qxs_esjzone -L DEBUG".split())
# cmdline.execute("scrapy crawl qxs_esjzone -L INFO".split())
print("start crawl Light fiction by qxs_esjzone...")
cmdline.execute("scrapy crawl qxs_esjzone".split())

3.设置USER-AGENT

在middleware中

class RandomUAMiddleware:
    def process_request(self, request, spider):
        # 随机选择ua
        ua = random.choice(spider.settings.get('USER_AGENT_LIST'))
        request.headers["User-Agent"] = ua

setting.py中加入

USER_AGENT_LIST = [
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1" 
    "Mozilla/5.0 (X11; CrOS i686 2268.111.0) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.57 Safari/536.11", 
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6", 
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6", 
    "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1", 
    "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5", 
    "Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5", 
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3", 
    "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3", 
    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3", 
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3", 
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3", 
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3", 
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3", 
    "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3", 
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3", 
    "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24", 
    "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24"
]

注册该中间件

DOWNLOADER_MIDDLEWARES = {
   'SpiderJD.middlewares.SpiderjdDownloaderMiddleware': 543,
   'SpiderJD.middlewares.RandomUAMiddleware': 400, #注册
}

4.在items.py中初始化item

import scrapy


class SpiderjdItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    menu = scrapy.Field()
    shop_name = scrapy.Field() #会在第6步的爬虫脚本用到

5.piplines.py

mport pymysql


class SpiderjdPipeline:

    def process_item(self, item, spider):
        # collection.insert(dict(item))
        print(item)  # 接收爬虫脚本（第6步）中yeild的item参数，这这里可以执行数据库操作
        # sql = """
        #     insert into shop_info(menu,shop_name) values('%s','%s')""" 
        #       % (
        #           item['menu'],
        #           item['shop_name']
        #       )
        # print(sql)
        # self.cursor.execute(sql)
        return item

    def open_spider(self, spider):
        # 连接数据库
        self.connect = pymysql.connect(
            host='127.0.0.1',
            port=3306,
            db='renren',
            user='root',
            passwd='123456',
            charset='utf8',
            use_unicode=True)

        # 通过cursor执行增删查改
        self.cursor = self.connect.cursor()
        self.connect.autocommit(True)

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

6.编写爬虫

class JdSpider(scrapy.Spider):
    name = 'tb'
    # allowed_domains = ['jd.com', 'p.3.cn']
    # start_urls = ['https://book.jd.com/booksort.html']
    allowed_domains = ['taobao.com']
    start_urls = ['https://www.taobao.com/']

    def parse(self, response):
        # 处理start_urls地址对应的响应  extract提取文字
        # res = response.xpath("//div[@class='li_txt']//h3/text()").extract()

        # 分组
        item = SpiderjdItem() # 调用第4步初始化的item
        li_list = response.xpath("//ul[@class='service-bd']/li")
        for li in li_list:
            # 存入pipeline  settings开启ITEM_PIPELINES
            item['menu'] = li.xpath(".//a/text()").extract_first()  # 返回列表第一个，无则None
            # 减少内存占用 存入pipeline
            yield item  # Request, BaseItem对象, dict, None

　　　　　# 爬下一级
        next_url = li.xpath(".//a/@href").extract_first()
        if next_url != "javascript:;":
            next_url = 'https:' + next_url
            print("next_url: ", next_url)
            yield scrapy.Request(
                next_url,
                meta={'item': item}, # 将这次生城的item传入下个方法里面
                callback=self.shop_next  # 注意 这里回调可能不生效 by：robot.txt rules 在setting设置 ROBOTSTXT = FALSE
            )

def shop_next(self, response):
        item = response.meta['item']
        print(response.request.headers["User-Agent"])
        li_list = response.xpath("//div[@class='mui-zebra-module']/div[0]/div")
        print(li_list, '?2?')
        i = 1
        for li in li_list:
            item['shop_name'] = li.xpath(".//span[@class='text'].text()").extract_first()  # 返回列表第一个，无则None
            print(item['shop_name'], i, "+", i)
            i += 1
            # 减少内存占用 存入pipeline
            yield item  # Request, BaseItem对象, dict, None

 7.启动爬虫


scrapy list 查看有哪些爬虫

scrapy crawl tb

8.调式爬虫

在项目的目录下创建mainDEBUG.py文件

from scrapy import cmdline

# cmdline.execute("scrapy crawl tb -L WARNING".split())
cmdline.execute("scrapy crawl tb".split())

然后再pycharm中 run - edit configurations - "+" - 选择python 

name : 命名

script：选择创建的mainDEBUG.py

 应用即可运行debug模式

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原文地址：https://www.cnblogs.com/tangpg/p/14592401.html