as the title: if you want to climb the gourmet pictures on the gourmet website, take the name of the cuisine as the entrance, climb the delicacies of each cuisine and put it in a folder named after the cuisine with the name of the food as the picture name. If you crawl directly and do not make any settings in pipeline, the picture can be downloaded directly, but when you set pipeline, you cannot download the image, warning: Item contains no Images. The
code is as follows:
crawler file meishijie.py:

    import scrapy
    import re
    from ..items import ImgItem

    class MeishijieSpider(scrapy.Spider):
        name = "meishijie"
        allowed_domains = ["meishij.net"]
        start_urls = ["https://www.meishij.net/china-food/caixi/"]  
        
        def parse(self, response):
            cuisine_list=response.xpath("//dl[@class="listnav_dl_style1 w990 clearfix"]//dd/a/@href").extract()
            -sharp extract the link of each cuisine
            -sharpprint(len(link_list)) -sharp the amount of the cuicines
            for cuisine_url in cuisine_list:
                -sharpprint(cuisine_url)
                yield scrapy.Request(cuisine_url,callback=self.parse_cuisine_img)
                
        def parse_cuisine_img(self,response):
            item=ImgItem()
            item["image_urls"] = response.xpath("//img[@class="img"]//@src").extract()
            item["image_names"] = response.xpath("//div[@class="c1"]//strong//text()").extract()
            -sharpitem["vc"] = response.xpath("//div[@class="c1"]//span//text()").extract()
    
            -sharpprint(len(item["image_urls"]))
    
    
            -sharp get the url of the next page
            next_link=response.xpath("//div[@class="listtyle1_page"]//a[@class="next"]//@href").extract()
            split_name=re.split("/",next_link[0])
            cuisine=split_name[-2]  -sharp get the name of each cuisine
            item["cuisine_names"]=cuisine
            -sharpprint(item["cuisine_names"])
            -sharpprint(item["image_names"])
            -sharpprint(item["image_urls"])
            -sharpprint(item["cuisine_names"])
    
    
            yield item
    
            if next_link:
                next_link = next_link[0]
                -sharpprint(next_link)
                yield scrapy.Request(next_link,callback=self.parse_cuisine_img)
                

pipeline file:

    import re
    import os
    import urllib
    import scrapy
    from scrapy.exceptions import DropItem
    from scrapy.pipelines.images import ImagesPipeline
    from scrapy import Request
    import json
    import codecs
    import shutil
    
    
    
    class JsonWithEncodingPipeline(object):
    
        def __init__(self):
            self.file=codecs.open("meishijie.json","w",encoding="utf-8")
    
        def process_item(self,item,spider):
            line = json.dumps(dict(item),ensure_ascii=False) + "\n"
            self.file.write(line)
            return item
    
        def spider_closed(self,spider):
            self.file.close()
    
    
    class ImgPipeline(ImagesPipeline):
        def get_media_request(self,item,info):
            for img_url in item["image_urls"]:
                yield Request(img_url,meta={"item":item,"index":item["image_urls"].index(img_url)})
    
    
    
        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")
            -sharpitem["image_paths"] = image_paths
            return item
    
    
        def file_path(self, request, response=None, info=None):
            item = request.meta["item"]  -sharp metaitem
            index = request.meta["index"]  -sharp index
    
            folder_name=item["cuisine_names"]
            image_guid = item["image_names"][index]
    
            filename = u"full/{0}/{1}".format(folder_name,image_guid)
            return filename
    

settings:

    BOT_NAME = "img"

    SPIDER_MODULES = ["img.spiders"]
    NEWSPIDER_MODULE = "img.spiders" 
    
    ITEM_PIPELINES = {
    "img.pipelines.ImgPipeline": 1,
    "img.pipelines.JsonWithEncodingPipeline":2,
    -sharp"img.pipelines.ImgPipeline":1
}

-sharp 
IMAGES_STORE=".../food-image/pic"

items.py

    import scrapy


    class ImgItem(scrapy.Item):
        -sharp define the fields for your item here like:
        -sharp name = scrapy.Field()
        cuisine_names = scrapy.Field()
        image_names = scrapy.Field()
        image_urls = scrapy.Field()
        -sharpvc = scrapy.Field()
        -sharpimages=scrapy.Field()
        

Last run:

     scrapy crawl meishijie
        
        

which friend can take a look at it? I would appreciate it!
complete code github link: https://github.com/QingZhang1.