爬取校花信息及图片

1.创建scrapy项目

dos窗口输入:

scrapy startproject xiaohuar

cd xiaohuar

2.编写item.py文件(相当于编写模板,需要爬取的数据在这里定义)

# -*- 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 XiaohuarItem(scrapy.Item):
    # define the fields for your item here like:
    #名字
    name = scrapy.Field()
    #学校
    info = scrapy.Field()
    #点赞人数
    zan = scrapy.Field()
    #图片链接
    image = scrapy.Field()

3.创建爬虫文件

dos窗口输入:

scrapy genspider myspider www.xiaohuar.com

4.编写myspider.py文件(接收响应,处理数据)

# -*- coding: utf-8 -*-
import scrapy
from xiaohuar.items import XiaohuarItem

class MyspiderSpider(scrapy.Spider):
    name = 'myspider'
    allowed_domains = ['www.xiaohuar.com']
    url = "http://www.xiaohuar.com/list-1-"
    offset = 0
    start_urls = [url+str(offset)+".html"]

    def parse(self, response):
        for each in response.xpath("//div[@class='item masonry_brick']"):
            item = XiaohuarItem()
            #名字
            item['name'] = each.xpath('.//span/text()').extract()[0]
            #学校
            item['info'] = each.xpath('.//a/text()').extract()[0]
            #赞
            item['zan'] = each.xpath('.//em/text()').extract()[0]
            #图片链接
            if each.xpath('.//img/@src').extract()[0].startswith('/d'):
                item['image'] ='http://www.xiaohuar.com'+ each.xpath('.//img/@src').extract()[0]
            else:
                item['image'] = each.xpath('.//img/@src').extract()[0]
            yield item
        if self.offset < 43:
            self.offset += 1
        else:
            raise ("程序结束")

        yield scrapy.Request(self.url+str(self.offset)+'.html',callback=self.parse)

　　

5.编写pipelines.py(存储数据)

# -*- 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
import scrapy
#获取setting文件的内容
from scrapy.utils.project import get_project_settings
#导入专门处理图片的包
from scrapy.pipelines.images import ImagesPipeline
import os
import json

#第一个类保存文字描述
class XiaohuarPipeline(object):
    def __init__(self):
        self.filename = open('F:\\xiaohuar\\data.txt', 'wb')

    def process_item(self, item, spider):
        text = json.dumps(dict(item),ensure_ascii=False) + '\n'
        self.filename.write(text.encode('utf-8'))
        return item

    def close_spider(self):
        self.filename.close()

#第二个类保存图片
class ImagePipeline(ImagesPipeline):
    IMAGES_STORE = get_project_settings().get("IMAGES_STORE")

    # 得到图片链接,发送图片请求
    def get_media_requests(self, item, info):
        # 图片链接
        image_url = item["image"]
        # 图片请求
        yield scrapy.Request(image_url)

    def item_completed(self, result, item, info):
        # 图片路径
        image_path = [x["path"] for ok, x in result if ok]
        # 保存路径,改名
        os.rename(self.IMAGES_STORE  + image_path[0], self.IMAGES_STORE + item["name"] + ".jpg")
        # 图片重命名后的名字
        item["imagePath"] = self.IMAGES_STORE + item["name"]
        return item

　　

6.编写settings.py(设置headers,pipelines等)

robox协议

# Obey robots.txt rules
ROBOTSTXT_OBEY = False　　

headers

DEFAULT_REQUEST_HEADERS = {
    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36',
    'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
  # 'Accept-Language': 'en',
}

pipelines

ITEM_PIPELINES = {
   'xiaohuar.pipelines.XiaohuarPipeline': 300,
   'xiaohuar.pipelines.ImagePipeline': 400,
}

IMAGES_STORE = "F:\\xiaohuar\\"

7.运行爬虫

dos窗口输入:

scrapy crawl myspided

查看debug:

KeyError: 'XiaohuarItem does not support field: imagePath'

emmmmm,

查看结果:

爬取:命名名成功了:1047-2(一个full文件夹,一个txt文档)

在full:+命名失败了73

44页,每页25:44*25=1100应该爬完了,至于多出来的,是我最开始指定offset小于44,多爬了一页

最后命名失败我估计是服务器奔溃了

emmmm,反正这次主要是为了试验一下爬取图片,成功了就行