如何在一个 FOR 循环中从 JSON 多个字典中提取数据 - Python

How to extract data in one FOR loop from JSON multiple dictionary - Python

在我的 scrapy 项目中,我想从网站中提取数据。事实证明,所有信息都存储在一些脚本中,我可以轻松阅读 JSON 格式的脚本,并从中提取我需要的数据。

这是我的职责:

    def parse(self, response):
        items = response.css("script:contains('window.__INITIAL_STATE__')::text").re_first(r"window\.__INITIAL_STATE__ =(.*);")
        for item in json.loads(items)['offers']:
            yield {
                "title": item['jobTitle'],
                "employer": item['employer'],
                "country": item['countryName'],
                "details_page": item['companyProfileUrl'],
                "expiration_date": item['expirationDate'],
                'salary': item['salary'],
                'employmentLevel': item['employmentLevel'],
            }

和 json 文件具有该结构:

var = {
    "offers":[
      {
        "commonOfferId":"1200072247",
        "jobTitle":"Automatyk - Programista",
        "employer":"MULTIPAK Spółka Akcyjna",
        "companyProfileUrl":"https://pracodawcy.pracuj.pl/company/20379037/profile",
        "expirationDate":"2021-04-28T12:47:06.273",
        "salary":"",
        "employmentLevel":"Specjalista (Mid / Regular)" ,
        "offers": [
                {
            "offerId":500092126,
            "regionName":"kujawsko-pomorskie",
            "cities":["Małe Czyste (pow. chełmiński)"],
            "label":"Małe Czyste (pow. chełmiński)"}], 

上面一个元素的例子。因此,当我尝试提取城市或 regioName 等数据时,我收到错误消息。我怎样才能从两个字典中进行循环并将该数据日期生成到新字典中?

你没有说清楚你想要什么,但我猜这很接近:

    def parse(self, response):
        items = response.css("script:contains('window.__INITIAL_STATE__')::text").re_first(r"window\.__INITIAL_STATE__ =(.*);")
        for item in json.loads(items)['offers']:
            for offer in item['offers']:
                yield {
                    "title": item['jobTitle'],
                    "employer": item['employer'],
                    "country": item['countryName'],
                    "details_page": item['companyProfileUrl'],
                    "expiration_date": item['expirationDate'],
                    'salary': item['salary'],
                    'employmentLevel': item['employmentLevel'],
                    'offernumber': offer['offerId'],
                    'region': offer['regionName'],
                    'city': offer['cities'][0]
                }