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  1. Once you have that, you need to call its read() method to actually pull the JSON data across the network. Something like: jsonurl = urlopen(url) text = json.loads(jsonurl.read()) print text

  2. In python3, I want to load this_file, which is a json format. Basically, I want to do something like [pseudocode]: >>> read_from_url = urllib.some_method_open(this_file) >>> my_dict = json.load(read_from_url) >>> print(my_dict['some_key']) some value

  3. 26 kwi 2023 · In this article, we'll explore how to use Python to retrieve JSON data from a URL. We'll cover two popular libraries - requests and urllib, and show how to extract and parse the JSON data using Python's built-in json module. Additionally, we'll discuss common errors that may occur when fetching JSON data, and how to handle them in your code.

  4. pypi.org › project › simplejsonsimplejson - PyPI

    9 maj 2011 · simplejson is a simple, fast, complete, correct and extensible JSON <http://json.org> encoder and decoder for Python 3.3+ with legacy support for Python 2.5+. It is pure Python code with no dependencies, but includes an optional C extension for a serious speed boost.

  5. 23 gru 2023 · Read JSON from URL using Pandas read_json & requests. In this tutorial, you’ll learn how to use Pandas to read JSON directly from a URL into a DataFrame. You’ll learn how to make GET and POST requests to retrieve JSON data, handle authentication and redirects, deal with paginated responses, and more.

  6. 24 lut 2021 · In this way, one can easily read a JSON response from a given URL by using urlopen() method to get the response and then use json.loads() to convert the response into a JSON object.

  7. 2 lut 2024 · In this tutorial, we will see how to get, parse and access the JSON data using built in modules in Python.

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