Scrapy提取ld + JSON [英] Scrapy Extract ld+JSON

问题描述

如何提取名称和网址?

quotes_spiders.py

import scrapy
import json

class QuotesSpider(scrapy.Spider):
    name = "quotes"
    start_urls = ["http://www.lazada.com.my/shop-power-banks2/?price=1572-1572"]

    def parse(self, response):
        data = json.loads(response.xpath('//script[@type="application/ld+json"]//text()').extract_first())
        //how to extract the name and url?
        yield data

要提取的数据

<script type="application/ld+json">{"@context":"https://schema.org","@type":"ItemList","itemListElement":[{"@type":"Product","image":"http://my-live-02.slatic.net/p/2/test-product-0601-7378-08684315-8be741b9107b9ace2f2fe68d9c9fd61a-webp-catalog_233.jpg","name":"test product 0601","offers":{"@type":"Offer","availability":"https://schema.org/InStock","price":"99999.00","priceCurrency":"RM"},"url":"http://www.lazada.com.my/test-product-0601-51348680.html?ff=1"}]}</script>

推荐答案

此行代码返回包含所需数据的字典:

This line of code returns a dictionary with the data you want:

data = json.loads(response.xpath('//script[@type="application/ld+json"]//text()').extract_first())

您需要做的就是像访问它一样

All you need to do is to access it like:

name = data['itemListElement'][0]['name']
url = data['itemListElement'][0]['url']

鉴于微数据包含一个列表，您需要检查该列表是否指向列表中的正确产品.

Given that the microdata contains a list you will need to check you are referring to the correct product in the list.

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