JSON无法在Google财经中使用

Question

I am trying to extract information from a JSON file from Google Finance. The requests.get() is working but then I get stuck. I have searched quite a bit and nothing suggested seems to work. This is what I have:

import requests
from json import loads

params={'q': 'NASDAQ:AAPL','output': 'json'}
response = requests.get('https://finance.google.com/finance', params=params, allow_redirects=False, timeout=10.0)
print(response.status_code)
print(response.content)

The output is “200” which is the ok output I believe. print(response.content) gives me the full JSON string so that seems to be working ok.

However, trying to pass it into “data” so that I can work with further, extract various bits. This is what I have tried:

• data = response.json() gives me JSONDecodeError: Expecting value: line 2 column 1 (char 1)

• data = json.load(response) gives me AttributeError: 'Response' object has no attribute 'read'

• data = json.loads(response) gives me TypeError: the JSON object must be str, bytes or bytearray, not 'Response'

I tried data = json.loads(response.decode("utf-8")) and that gives me AttributeError: 'Response' object has no attribute 'decode' . I have also tried some text scrubbing suggestions, nothing has worked yet.

Answer 1

I printed the text. and I found that first some data is not json string... \\n // chars...

jsonstr = response.text[4:] #remove first part (not json data)
data = loads(jsonstr)
print(data)
print("t=",data[0]['t'])

output

[{'t': 'AAPL', 'kr_annual_date': '2017', 'hi': '180.52', 'keyratios': [{'title': 'Net profit margin', 'annual': '21.09%', 'recent_quarter': '25.67%', 'ttm': '22.21%'}, {'title': 'Operating margin', 'annual': '26.76%', 'rece ....
.... 
com/'}]}]
t= AAPL

Answer 2

Try using response.content or response.text to convert to JSON.

Ex:

json.loads(response.content)

or

json.loads(response.text)