目的：通过fiddler在电脑上对手机版斗鱼主播进行抓包，爬取所有主播的昵称和图片链接

关于使用fiddler抓取手机包的设置：

把手机和装有fiddler的电脑处在同一个网段（同一个wifi），手机连接好wifi后，点击手机wifi的连接，把代理改为手动，主机地址设置为fiddler所在的电脑ip，端口号为8888（fiddler默认使用的端口号），就可以对手机进行抓包

1 创建爬虫项目douyumeinv

scrapy startproject douyumeinv

2 设置items.py文件，对要爬取数据设置字段名字及类型进行保存

# -*- coding: utf-8 -*-# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.htmlimport scrapyclass DouyumeinvItem(scrapy.Item):# 主播昵称nickname = scrapy.Field()# 主播房间的图片链接roomSrc = scrapy.Field()# 照片在本地保存的位置imagesPath = scrapy.Field()

3 在spiders文件夹内创建爬虫文件douyuspider.py，代码如下

# -*- coding: utf-8 -*-
import scrapy
from douyumeinv.items import DouyumeinvItem
import jsonclass DouyuSpider(scrapy.Spider):# 爬虫名字，终端执行命令时使用。如scrapy crawl douyuname = 'douyu'# 指定爬取的域范围allowed_domains = ['douyu.com']# 要爬取的页码num = 1# 主播个数n = 0# 实际有主播的页码pageCount = 0url = 'https://m.douyu.com/api/room/mixList?page=' + str(num) + '&type=qmxx'# 爬取的url列表start_urls = [url]def parse(self, response):'''解析函数'''# 把获取的json数据转换为python字典data = json.loads(response.text)['data']# 获取实际具有主播的页码self.pageCount = int(data['pageCount'])for each in data['list']:self.n += 1item = DouyumeinvItem()# 主播房间图片链接item['roomSrc'] = each['roomSrc'].encode('utf-8')# 主播昵称item['nickname'] = each['nickname'].encode('utf-8')# print(item)# 返回数据给管道yield item# 重新发送请求    self.num += 1# 只对有主播的页码，进行发送请求if self.num <= self.pageCount:self.url = 'https://m.douyu.com/api/room/mixList?page=' + str(self.num) + '&type=qmxx'yield scrapy.Request(self.url, callback=self.parse)print '\n已爬完第%d页，共%d页，共爬取%d个主播\n'%(self.num - 1,self.pageCount,self.n)

4 设置pipelines.py管道文件，利用images.ImagesPipeline类来请求图片链接并处理下载好的图片

# -*- 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# class DouyumeinvPipeline(object):# def process_item(self, item, spider):#     return item
import scrapy
from scrapy.pipelines import images
from scrapy.utils.project import get_project_settings
import osclass DouyumeinvPipeline(object):def process_item(self, item, spider):return itemclass ImagesPipeline(images.ImagesPipeline):images_store = get_project_settings().get('IMAGES_STORE')# count用来统计实际下载并改名成功的图片个数count = 0def get_media_requests(self, item, info):'''get_media_requests的作用就是为每一个图片链接生成一个Request对象，这个方法的输出将作为item_completed的输入中的results'''# return [Request(x) for x in item.get(self.images_urls_field, [])]image_url = item['roomSrc']# print('='*60)# print(image_url)# print(item['nickname'])# print('='*60)yield scrapy.Request(image_url)def item_completed(self, results, item, info):# results是一个元组，每个元组包括(success, imageinfoorfailure)。# 如果success=true，imageinfoor_failure是一个字典，包括url/path/checksum三个key。image_path = [x["path"] for ok,x in results if ok]# print('*'*60)# 由于yield的原因，image_path的值为每次输出一个列表['full/0c1c1f78e7084f5e3b07fd1b0a066c6c49dd30e0.jpg']# print(image_path[0])# print(item['nickname'])# print('*'*60)# 此处发现，不用再创建相应的文件夹，直接使用下面的字符串拼接，就可以生成一个文件夹old_file = self.images_store + '/' + image_path[0]new_file = self.images_store + '/full/' + item['nickname'] + '.jpg'# print('\n'  + '-'*60)# print(old_file)# print(new_file)# print('\n')# print(os.path.exists(old_file))# 判断该文件及路径是否存在# 如果图片下载成功，则计数加1if os.path.exists(old_file):self.count += 1# print('\n')# print('-'*60 + '\n')os.rename(old_file,new_file)item['imagesPath'] = self.images_store + '/full/' + item['nickname']# print(os.listdir('/home/cc/pachong/2-scrapy框架/01.scrapy框架与Spider类/douyumeinv/douyumeinv/images/full/'))print('#'*60)print('已成功下载%d张图片'%(self.count))print('#'*60)return item

5 设置settings.py文件

6 测试结果如下：