在数组内生成动态嵌套 JSON 对象 - python

Question

I have a script through which I am scraping data from multiple pages. I am trying to generate dynamic nested JSON objects inside an array. But the result I am getting is that there are nested JSON objects but inside two lists . The output data starts like this ['"[{ and ends }]"'] like this. I need someone who can explain to me where I am making a mistake?

**** I am pasting my code below please have a look ****

I am pasting below my code.

def geturl():
    urls = [
    
        # list of URLs
    ]
    
    with open('temp.json', 'w', encoding='utf-8') as file:
        for url in urls:
            r = requests.get(url)
            print(r.status_code)
            data = json.loads(r.content)
            items = data['items']
            baseurl =  # URL
            data = OrderedDict()
            main = []
            for item in items:
                data['Title'] = item['name']
                data["Price"] = item['price']
                data['Detai Page'] = baseurl + item['slug']
                data['Image'] = item['thumb_image']
    
                main.append(data)
                result = json.dumps(main)
        json.dump(result, file, indent=4, sort_keys=True)

geturl()

Someone, please help me how to solve this issue?

Answer 1

This should work file

import pandas as pd
def geturl(filehandler):
  urls =[ # your urls here ] 

  main = []  
  baseurl = # your base url

  for url in urls:
  
    r = requests.get(url)
    data = json.loads(r.content)
    items = data['items']     
    
    for item in items:
      data = {}
      data['Title'] = item['name']
      data["Price"] = item['price']
      data['Detai Page'] = baseurl+item['slug']
      data['Image'] = item['thumb_image']
      main.append(data)
    
  # writing to json file
  json.dump(main, filehandler)

  # reading with pandas
  df= pd.DataFrame(main)
  df.to_json('data.json', orient='records')

  

with open('temp.json', 'w', encoding='utf-8') as filehandler:
  geturl(filehandler)