PYTHON DOWNLOAD JSON FROM URL HOW TOIf hasattr(urlResponse. Learn how to download files from the web using Python modules like requests, urllib, and wget. Using requests would avoid all this, but sometimes you need to stick to the standard library. Here is the easiest way to convert JSON data to an Excel file using Python and Pandas: import pandas as pd dfjson pd.readjson (‘DATAFILE.json’) dfjson.toexcel (‘DATAFILE.xlsx’) Code language: Python (python) Briefly explained, we first import Pandas, and then we create a dataframe using the readjson method. Ask Question Asked 2 years, 11 months ago. how to download JSON file using Python from a URL with authentication key. The requests.get (apipath).text helps us pull the data from the mentioned API. Look at the below code data responseAPI.text. The headers object is different between Python 2 and 3 so it has to be done different ways. I am trying to download JSON files from a website that is being accessed with username and password (API service). After making a healthy connection with the API, the next task is to pull the data from the API. In this example we query the headers for the encoding and fall back to utf-8 if we don't get one. So one has to get the file encoding in order to make it work in Python 3. json.loads requires a string object and the output of urllib.urlopen(url).read() is a bytes object. json.load is just a wrapper around json.loads that calls read() for a file-like object. Unfortunately, that doesn't work in Python 3. In Python 2, json.load() will work instead of json.loads() import json
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