分享程序员开发的那些事...
更新时间：2022-09-15 12:24:17
其实我只是想试试爬取图片而已
Item定义：
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import scrapy
class TiantianmeijuItem(scrapy.Item):
name = scrapy.Field()
image_urls = scrapy.Field()
images = scrapy.Field()
image_paths = scrapy.Field()
episode = scrapy.Field()
episode_url = scrapy.Field()
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name是保存名字
image_urls和images 是爬取图片的pipeline用的，一个是保存图片URL，一个是保存图片存放信息
image_paths其实没什么实际作用，只是记录下载成功的图片地址
epiosde和episode_url是保存集数和对应下载地址
Spider：
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import scrapy
from tiantianmeiju.items import TiantianmeijuItem
import sys
reload(sys) # Python2.5 初始化后会删除 sys.setdefaultencoding 这个方法，我们需要重新载入
sys.setdefaultencoding('utf-8')
class CacthUrlSpider(scrapy.Spider):
name = 'meiju'
allowed_domains = ['cn163.net']
start_urls = ["http://cn163.net/archives/{id}/".format(id=id) for id in ['16355', '13470', '18766', '18805']]
def parse(self, response):
item = TiantianmeijuItem()
item['name'] = response.xpath('//*[@id="content"]/div[2]/div[2]/h2/text()').extract()
item['image_urls'] = response.xpath('//*[@id="entry"]/div[2]/img/@src').extract()
item['episode'] = response.xpath('//*[@id="entry"]/p[last()]/a/text()').extract()
item['episode_url'] = response.xpath('//*[@id="entry"]/p[last()]/a/@href').extract()
yield item
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页面比较简单
Pipelines：这里写了两个管道，一个是把下载链接保存到文件，一个是下载图片
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import json
import os
from scrapy.pipelines.images import ImagesPipeline
from scrapy.exceptions import DropItem
from scrapy.http import Request
from settings import IMAGES_STORE
class TiantianmeijuPipeline(object):
def process_item(self, item, spider):
return item
class WriteToFilePipeline(object):
def process_item(self, item, spider):
item = dict(item)
FolderName = item['name'][0].replace('/', '')
downloadFile = 'download_urls.txt'
with open(os.path.join(IMAGES_STORE, FolderName, downloadFile), 'w') as file:
for name,url in zip(item['episode'], item['episode_url']):
file.write('{name}: {url}\n'.format(name=name, url=url))
return item
class MyImagesPipeline(ImagesPipeline):
def get_media_requests(self, item, info):
for image_url in item['image_urls']:
yield Request(image_url, meta={'item': item})
def item_completed(self, results, item, info):
image_paths = [x['path'] for ok,x in results if ok]
if not image_paths:
raise DropItem("Item contains no images")
item['image_paths'] = image_paths
return item
def file_path(self, request, response=None, info=None):
item = request.meta['item']
FolderName = item['name'][0].replace('/', '')
image_guid = request.url.split('/')[-1]
filename = u'{}/{}'.format(FolderName, image_guid)
return filename
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get_media_requests和item_completed，因为默认的图片储存路径是
<IMAGES_STORE>/full/3afec3b4765f8f0a07b78f98c07b83f013567a0a.jpg，
我需要把full改成以美剧名字目录来保存，所以重写了file_path
settings打开pipelines相关配置：
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ITEM_PIPELINES = {
'tiantianmeiju.pipelines.WriteToFilePipeline': 2,
'tiantianmeiju.pipelines.MyImagesPipeline': 1,
}IMAGES_STORE = os.path.join(os.getcwd(), 'image') # 图片存储路径
IMAGES_EXPIRES = 90
IMAGES_MIN_HEIGHT = 110
IMAGES_MIN_WIDTH = 110
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爬下来之后就是这个效果了：
本文转自运维笔记博客51CTO博客，原文链接http://blog.51cto.com/lihuipeng/1713531如需转载请自行联系原作者
lihuipeng
