Scrapy管道错误无法导入名称

Question

我是 python 编程和使用 scrapy 的新手。我已经设置了我的爬虫，到目前为止它一直在工作，直到我想弄清楚如何下载图像。我得到的错误是无法导入名称 NsiscrapePipeline。我不知道我做错了什么，而且我不了解一些文档，因为我是新手。请帮忙

物品文件

from scrapy.item import Item, Field

class NsiscrapeItem(Item):
    # define the fields for your item here like:
    # name = Field()
    location = Field()
    stock_number = Field()
    year = Field()
    manufacturer = Field()
    model = Field()
    length = Field()
    price = Field()
    status = Field()
    url = Field()

    pass

蜘蛛

from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from NSIscrape.items import NsiscrapeItem
from scrapy.http import Request
from scrapy.contrib.pipeline.images import NsiscrapePipeline
import Image

class NsiscrapeSpider(BaseSpider):
    name = "Nsiscrape"
    allowed_domain = ["yachtauctions.com"]
    start_urls = [
    "http://www.yachtauctions.com/inventory/"
    ]

    def parse(self, response):
    hxs = HtmlXPathSelector(response)
    sites = hxs.select('//tr')
    items = []
    for site in sites:
    item = NsiscrapeItem()
    item['location'] = site.select('td[2]/text()').extract()
    item['stock_number'] = site.select('td[3]/a/text()').extract()
    item['year'] = site.select('td[4]/text()').extract()
    item['manufacturer'] = site.select('td[5]/text()').extract()
    item['model'] = site.select('td[6]/text()').extract()
    item['length'] = site.select('td[7]/text()').extract()
    item['price'] = site.select('td[8]/text()').extract()
    item['status'] = site.select('td[10]/img/@src').extract()
    item['url'] = site.select('td[1]/a/@href').extract()
    item['image_urls'] = site.select('td/a[3]/img/@data-original').extract()
        item['images'] = item['image_urls']
        yield Request(item['url'][0], meta={'item':item}, callback=self.product_detail_page)


    def product_detail_page(self, response):
    hxs = HtmlXPathSelector(response)
    item = response.request.meta['item']
    #add all images url in the item['image_urls']
    yield item

设置

ITEM_PIPELINES = ['scrapy.contrib.pipeline.image.NsiscrapePipeline']
IMAGES_STORE = 'c:\Python27\NSIscrape\IMG'
IMAGES_EXPIRES = 90

管道这是我不确定我是否遗漏了什么的地方

from scrapy.item import Item 

class NsiscrapePipeline(Item):
image_urls = Field()
    images = Field()

    def process_item(self, item, spider):
        return item

错误

File "NSIscrape\spiders\NSI_Spider.py", line 9, in <module>
from scrapy.contrib.pipeline.images import NsiscrapePipeline
ImportError: cannot import name NsiscrapePipeline

Answer 1

你试图传递列表，但这个函数只接受字符串。仅传递列表中的一个元素（例如 list[0]）。

Answer 2

这是我的最终代码。有两个问题

1：我错过了请求中需要的第二个反斜杠 --> //td[1]/a[3]/img/@data-original

2：我必须检查显示图像的完整 URL，并将它们连接在一起，即主 URL 或允许的 URL 和图像 URL。

def parse(self, response):
    hxs = HtmlXPathSelector(response)
    images = hxs.select('//tr')
    url = []
    for image in images:
        urls = NsiscrapeItem()
        urls['image_urls'] = ["http://www.yachtauctions.com" +  x for x in image.select('//td[1]/a[3]/img/@data-original').extract()]
        url.append(urls)
    return url

Answer 3

这不是图书馆的一部分 :) - 至少通过查看他们当前的 master branch

我想你在找ImagesPipeline

他们的榜样可能会有所帮助！ example

附言我不认为你自定义命名类 - 至少不是根据 scapy 的设计方式；我有理由确定您使用他们的课程；）

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