Python项目--Scrapy框架(二)

本文主要是利用scrapy框架爬取果壳问答中热门问答, 精彩问答的相关信息

环境

win8, python3.7, pycharm

正文

1. 创建scrapy项目文件

在cmd命令行中任意目录下执行以下代码, 即可在该目录下创建GuoKeWenDa项目文件

scrapy startproject GuoKeWenDa

2. 创建爬虫主程序

在cmd中切换到GuoKeWenDa目录下, 执行以下代码:

cd GuoKeWenDa
scrapy genspider GuoKeWenDaSpider GuoKeWenDaSpider.toscrape.com

创建GuoKeWenDaSpider.py文件成功

3. 定义要爬取的项目

分析果壳热门问答和果壳精彩问答, 发现两页面的结构一致, 我们爬取其中的主题, 简介, 关注数, 回答数, 标签, 文章链接等6个信息

在items.py中定义

import scrapy
from scrapy.item import Item, Field

class GuokewendaItem(Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    title = Field()
    intro = Field()
    attention = Field()
    answer = Field()
    label = Field()
    link = Field() 

4. 编写爬虫主程序 

 在GuoKeWenDaSpider.py文件中编写:

import scrapy
from scrapy.spiders import CrawlSpider
from scrapy.selector import Selector
from scrapy.http import Request
from GuoKeWenDa.items import GuokewendaItem

class GuoKeWenDa(CrawlSpider):
    name = 'GuoKeWenDa'
    allowed_domains = ['GuoKeWenDaSpider.toscrape.com']
    urls = ['hottest', 'highlight']
    #对urls进行遍历
    start_urls = ['https://www.guokr.com/ask/{0}/?page={1}'.format(str(m),str(n)) for m in urls for n in range(1, 101)]
    def parse(self, response):
        item = GuokewendaItem()
        #初始化源码
        selector = Selector(response)
        #用xpath进行解析
        infos = selector.xpath('//ul[@class="ask-list-cp"]/li')
        for info in infos:
            title = info.xpath('div[2]/h2/a/text()').extract()[0].strip()
            intro = info.xpath('div[2]/p/text()').extract()[0].strip()
            attention = info.xpath('div[1]/p[1]/span/text()').extract()[0]
            answer = info.xpath('div[1]/p[2]/span/text()').extract()[0]
            labels = info.xpath('div[2]/div/p/a/text()').extract()  
            link = info.xpath('div[2]/h2/a/@href').extract()[0]
            if labels:
                label = " ".join(labels)    #用join将列表转成以" "分隔的字符串
            else:
                label =''
            item['title'] = title
            item['intro'] = intro
            item['attention'] = attention
            item['answer'] = answer
            item['label'] = label
            item['link'] = link
            yield item

5. 保存到MongoDB

import pymongo

class GuokewendaPipeline(object):
    def __init__(self):
        '''连接MongoDB'''
        client = pymongo.MongoClient(host='localhost')
        db = client['test']
        guokewenda = db['guokewenda']
        self.post= guokewenda
    def process_item(self, item, spider):
        '''写入MongoDB'''
        info = dict(item)
        self.post.insert(info)
        return item

 6. 配置setting

在原有代码中去掉以下代码的注释 (快捷键"Ctrl" + "/")

USER_AGENT = 'Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36'
DOWNLOAD_DELAY = 5
DEFAULT_REQUEST_HEADERS = {
  'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
  'Accept-Language': 'en',
}
ITEM_PIPELINES = {
   'GuoKeWenDa.pipelines.GuokewendaPipeline': 300,
}

7. 新建main.py文件

在GuoKeWenDa文件目录下新建main.py文件, 编辑:

from scrapy import cmdline
cmdline.execute('scrapy crawl GuoKeWenDa'.split())

执行main.py文件

8. 爬取结果

总结

以上便是我本次分享的内容，如有任何疑问，请在下方留言，或在公众号【转行学数据分析】联系我！！！

实际中热门问答只有2页, 因此遍历它的第3到100页就显得太多余:

urls = ['hottest', 'highlight']
start_urls = ['https://www.guokr.com/ask/{0}/?page={1}'.format(str(m),str(n)) for m in urls for n in range(1, 101)]

可利用"+"连接两个url(参考: https://www.jianshu.com/p/9006ddca23b6),  修改为:

start_urls = ['https://www.guokr.com/ask/hottest/?page={}'.format(str(m)) for m in range(1,3)] + ['https://www.guokr.com/ask/highlight/?page={}'.format(n) for n in range(1,101)]