python蜘蛛返回空json文件

Question

我在 python 中创建了 Json 文件来使用 scrapy 存储抓取的数据，但是 json 文件是空的，尽管 python scrapy 蜘蛛抓取了所有数据。我试图将所有抓取的数据存储到 json 文件中。在爬行命令蜘蛛显示所有的终端中数据但它没有导入到 json 文件中。我找不到任何解决方案我正在共享文件 Spider 和 items.py

我使用这个命令scrapy scraper -o products.json

Spider.py

import scrapy
from bs4 import BeautifulSoup as Soup
from ..items import ScrapyArbiItem
import requests
from idna import unicode


class Scraper(scrapy.Spider):
    name = "scraper"

    start_urls = [
          'https://www.fenom.com/en/263-men',
        # 'https://www.fenom.com/en/263-men#/page-2',
        # 'https://www.fenom.com/en/263-men#/page-3',
        # 'https://www.fenom.com/en/263-men#/page-4',
        # 'https://www.fenom.com/en/263-men#/page-5',
        # 'https://www.fenom.com/en/263-men#/page-6',
        # 'https://www.fenom.com/en/263-men#/page-7',
    ]

    def parse(self, response):

        items = ScrapyArbiItem()

        page_soup = Soup(response.text, 'html.parser')
        uls = page_soup.find_all("ul", class_="product_list grid row")[0]
        # import pdb;
        # pdb.set_trace()
        for li in uls.find_all("li", class_="ajax_block_product block_home col-xs-6 col-sm-4 
        col-md-3"):
            data_to_write = []
            try:
                # print("gnbfrgjrnbgfjnbruigbnruig")
                div = li.find('div', class_='product-container')
                left_block = div.find('div', class_="left-block")
                image_container = left_block.find('div', class_="product-image-container")
                image = image_container.find('a')
                image_url_a = image_container.find('a', class_="product_img_link")
                image_url = image_url_a.find('img', class_='replace-2x img-responsive')
                image_url = image_url.get('src')  # image_url
                url = image.get('href')  # url of product
                right_block = div.find('div', class_="right-block")
                right_a = right_block.find('a')
                product = right_a.find('span', class_="product-name")
                product_name = product.text  # product_name
                pp = right_a.find('span', class_="content_price")
                product_p = pp.find('span', class_="product-price")
                product_price = product_p.text  # product_price


                items ['product_name'] = product_name
                items['product_price'] = product_price
                items['url'] = url


                print(items)
                #print(product_name)
                #print(product_price)
                #print(url)
                #print(image_url)
                next_page = url
                # import pdb;pdb.set_trace()
                # print(url)
                # if url:
                #     yield scrapy.Request(url, callback=self.parsetwo, dont_filter=True)
            except:
                pass

items.py

该文件中的作用是将所有提取的数据排列到临时容器中

import scrapy

class ScrapyArbiItem(scrapy.Item):
    # define the fields for your item here like:
    product_name = scrapy.Field()
    product_price = scrapy.Field()
    url = scrapy.Field()

Answer 1

我使用yield(items)而不是print(items)，它解决了问题。

`import scrapy
from bs4 import BeautifulSoup as Soup
from ..items import ScrapyArbiItem
import requests
from idna import unicode


class Scraper(scrapy.Spider):
    name = "scraper"

    page_number = 2 #for paginatiom

    start_urls = [
          'https://www.fenom.com/en/263-men#/page-1', #firstpage
    ]

    def parse(self, response):

        items = ScrapyArbiItem() #for items container-storing extracted data

        page_soup = Soup(response.text, 'html.parser')
        uls = page_soup.find_all("ul", class_="product_list grid row")[0]

        for li in uls.find_all("li", class_="ajax_block_product block_home col-xs-6 col-sm-4 col-md-3"):

            try:
                # print("gnbfrgjrnbgfjnbruigbnruig")
                div = li.find('div', class_='product-container')
                left_block = div.find('div', class_="left-block")
                image_container = left_block.find('div', class_="product-image-container")
                image = image_container.find('a')
                image_url_a = image_container.find('a', class_="product_img_link")
                image_url = image_url_a.find('img', class_='replace-2x img-responsive')
                image_url = image_url.get('src')  # image_url
                url = image.get('href')  # url of product
                right_block = div.find('div', class_="right-block")
                right_a = right_block.find('a')
                product = right_a.find('span', class_="product-name")
                product_name = product.text  # product_name
                pp = right_a.find('span', class_="content_price")
                product_p = pp.find('span', class_="product-price")
                product_price = product_p.text  # product_price


                items ['product_name'] = product_name
                items['product_price'] = product_price
                items['url'] = url


                yield (items)
                #print(product_name)
                #print(product_price)
                #print(url)
                #print(image_url)
            except:
                pass`