如何使用python将带有键值对的抓取的json数据保存为json文件格式

Question

我抓取了一个数据站点，并且能够使用仅包含值的 json 格式打印所需的输出，但我真正需要的是获取具有键和值对的数据并将其保存为 output.json 格式，所以我可以插入到我的 django 数据库中。这是我到目前为止所做的事情

import requests
import json
URL ='http://tfda.go.tz/portal/en/trader_module/trader_module/getRegisteredDrugs_products'payload = "draw=1&columns%5B0%5D%5Bdata%5D=no&columns%5B0%5D%5Bname%5D=&columns%5B0%5D%5Bsearchable%5D=True&columns%5B0%5D%5Borderable%5D=True&columns%5B0%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B0%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B1%5D%5Bdata%5D=certificate_no&columns%5B1%5D%5Bname%5D=&columns%5B1%5D%5Bsearchable%5D=True&columns%5B1%5D%5Borderable%5D=True&columns%5B1%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B1%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B2%5D%5Bdata%5D=brand_name&columns%5B2%5D%5Bname%5D=&columns%5B2%5D%5Bsearchable%5D=True&columns%5B2%5D%5Borderable%5D=True&columns%5B2%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B2%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B3%5D%5Bdata%5D=classification_name&columns%5B3%5D%5Bname%5D=&columns%5B3%5D%5Bsearchable%5D=True&columns%5B3%5D%5Borderable%5D=True&columns%5B3%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B3%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B4%5D%5Bdata%5D=common_name&columns%5B4%5D%5Bname%5D=&columns%5B4%5D%5Bsearchable%5D=True&columns%5B4%5D%5Borderable%5D=True&columns%5B4%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B4%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B5%5D%5Bdata%5D=dosage_form&columns%5B5%5D%5Bname%5D=&columns%5B5%5D%5Bsearchable%5D=True&columns%5B5%5D%5Borderable%5D=True&columns%5B5%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B5%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B6%5D%5Bdata%5D=product_strength&columns%5B6%5D%5Bname%5D=&columns%5B6%5D%5Bsearchable%5D=True&columns%5B6%5D%5Borderable%5D=True&columns%5B6%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B6%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B7%5D%5Bdata%5D=registrant&columns%5B7%5D%5Bname%5D=&columns%5B7%5D%5Bsearchable%5D=True&columns%5B7%5D%5Borderable%5D=True&columns%5B7%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B7%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B8%5D%5Bdata%5D=registrant_country&columns%5B8%5D%5Bname%5D=&columns%5B8%5D%5Bsearchable%5D=True&columns%5B8%5D%5Borderable%5D=True&columns%5B8%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B8%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B9%5D%5Bdata%5D=manufacturer&columns%5B9%5D%5Bname%5D=&columns%5B9%5D%5Bsearchable%5D=True&columns%5B9%5D%5Borderable%5D=True&columns%5B9%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B9%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B10%5D%5Bdata%5D=manufacturer_country&columns%5B10%5D%5Bname%5D=&columns%5B10%5D%5Bsearchable%5D=True&columns%5B10%5D%5Borderable%5D=True&columns%5B10%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B10%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B11%5D%5Bdata%5D=expiry_date&columns%5B11%5D%5Bname%5D=&columns%5B11%5D%5Bsearchable%5D=True&columns%5B11%5D%5Borderable%5D=True&columns%5B11%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B11%5D%5Bsearch%5D%5Bregex%5D=False&columns%5B12%5D%5Bdata%5D=id&columns%5B12%5D%5Bname%5D=&columns%5B12%5D%5Bsearchable%5D=True&columns%5B12%5D%5Borderable%5D=True&columns%5B12%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B12%5D%5Bsearch%5D%5Bregex%5D=False&order%5B0%5D%5Bcolumn%5D=0&order%5B0%5D%5Bdir%5D=asc&start=0&length=3911&search%5Bvalue%5D=&search%5Bregex%5D=False"

with requests.Session() as s:
s.headers={"User-Agent":"Mozilla/5.0"}
s.headers.update({'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8'})
res = s.post(URL, data = payload)

for data in res.json()['data']:
    serial = data['no']
    certno = data['certificate_no']
    brndname = data['brand_name']
    clssification = data['classification_name']
    common_name = data['common_name']
    dosage_form = data['dosage_form']
    expiry_date = data['expiry_date']
    manufacturer = data['manufacturer']
    manufacturer_country = data['manufacturer_country']
    product_strength = data['product_strength']
    registrant = data['registrant']
    registrant_country = data['registrant_country']
    output = (serial,certno,brndname,clssification,common_name,dosage_form,expiry_date,manufacturer, manufacturer_country,product_strength,registrant, registrant_country )
    my_list = output
    json_str = json.dumps(my_list)
    print (json_str)

这是我附加的输出screenshot 那么我该如何处理呢？

Answer 1

使用json.dump

with open(path, 'w') as file:
    [...]
    json.dump(myPythonList, file)
    file.write('\n')