爬虫学习之-文件管道重写

如果要文件管道保存为原有的文件名  需要重写文件管道的方法

pipeitem文件 

# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html

from scrapy.pipelines.files import FilesPipeline
class OveridePipeline(FilesPipeline):
    def file_path(self, request, response=None, info=None):
        file_name = request.url.split('/')[-1]
        if "." not in file_name:
            file_name = file_name + '.png'
        return "pexels/"+file_name


class ImagesPipeline(object):
    def process_item(self, item, spider):
        # tmp = item['image_urls']
        # item['image_urls'] = []
        #
        # for i in tmp:
        #     if "?" in i:
        #         item['image_urls'].append(i.split("?")[0])
        #     else:
        #         item['image_urls'].append(i)
        # print("下载图片:",item['image_urls'])
        # return item
        tmp = item['file_urls']
        item['file_urls'] = []

        for i in tmp:
            if "?" in i:
                item['file_urls'].append(i.split("?")[0])
            else:
                item['file_urls'].append(i)
        print("下载图片:", item['file_urls'])
        return item

　　setting配置

ITEM_PIPELINES = {
    #'scrapy.pipelines.images.ImagesPipeline':2,
    #'scrapy.pipelines.files.FilesPipeline':3,
    'images.pipelines.OveridePipeline':3,
    'images.pipelines.ImagesPipeline': 1,
}

FILES_STORE = 'd:/crawl'

　　spider文件

# -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule

from ..items import ImagesItem
from scrapy.pipelines.images import ImagesPipeline
from scrapy.pipelines.files import FilesPipeline
from scrapy.pipelines.media import MediaPipeline
class PexSpider(CrawlSpider):
    name = 'pex'
    allowed_domains = ['www.pexels.com']
    start_urls = ['https://www.pexels.com/photo/vehicle-on-road-along-green-grass-during-night-714023/']

    rules = (
        Rule(LinkExtractor(allow=r'/photo/'), callback='parse_item', follow=True),
    )

    def parse_item(self, response):
        i = ImagesItem()
        #i['domain_id'] = response.xpath('//input[@id="sid"]/@value').extract()
        #i['name'] = response.xpath('//div[@id="name"]').extract()
        #i['description'] = response.xpath('//div[@id="description"]').extract()
        #i['image_urls'] = response.xpath("//img[@class='image-section__image js-photo-zoom']/@src").extract()
        i['file_urls'] = response.xpath("//img[@class='image-section__image js-photo-zoom']/@src").extract()
        return i

　　item文件

# -*- coding: utf-8 -*-

# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html

import scrapy


class ImagesItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    # image_urls = scrapy.Field()
    # images = scrapy.Field()
    file_urls = scrapy.Field()
    files = scrapy.Field()