Extract json-ld schema markup data and store in MongoDB

[Nuwan16]

I'am creating a spider to crawl webpage' json-ld schema markup and store data in mongodb. actually I want to scrape json-ld schema markup and extract the data type("@type" : "_____") from schema markup and store this @type in mongodb. My spiders crawl well whole schema markup code. But I want to know that How to extract @type from that json-ld schema markup and store it in mongodb.
This is my spider files

apple_spider.py

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import scrapy from pprint import pprint from extruct.jsonld import JsonLdExtractor from ..items import ApplespiderItem   class AppleSpider(scrapy.Spider):     name = 'apple'     allowed_domains = ['apple.com']     start_urls = (         'http://www.apple.com/shop/mac/mac-accessories',         )       def parse(self, response):           extractor = JsonLdExtractor()           items = extractor.extract(response.body_as_unicode(), response.url)         pprint(items)           for item in items:             if item.get('properties', {}).get('name'):                 properties = item['properties']                                     yield {                     'name': properties['name'],                     'price': properties['offers']['properties']['price'],                     'url': properties['url']                 }

items.py

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import scrapy     class ApplespiderItem(scrapy.Item):     # define the fields for your item here like:     name = scrapy.Field()     price = scrapy.Field()     url = scrapy.Field()

pipelines.py

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import pymongo   class ApplespiderPipeline(object):       def __init__(self):         self.conn = pymongo.MongoClient(             'localhost',             27017         )         db = self.conn['newdb']         self.collection = db['app_tb']       def process_item(self, item, spider):         self.collection.insert(dict(item))         return item