spoonacular api python

For other professionally maintained API documentation examples, consider the World Bank API, the various New York Times APIs, or the Europeana Pro API.

While we won’t be able to explore this question thoroughly, we can begin to approach this research space by collecting historical data on newspaper coverage of fires using an API—in this case, the Chronicling America Historical Newspaper API.

Remember that, when creating an API, you are assuming some responsibility for the applications that others may build with it. 127.0.0.1:5000/api/v1/resources/books?id=1

If you’ve gotten this far, you’ve created an actual API.

Execute this command to generate a new one on Linux, BSD, or MacOS. There are millions of APIs online which provide access to data. Clone this repo:$git clone https://github.com/johnwmillr/SpoonacularAPI.git 2.

11 4 4 bronze badges. If you don’t already have a favorite, choose one with syntax highlighting. Track food information and your favorite foods at the Bon. This repository contains source code for the spoonacular Recipe and Food API.

Cathy is able to generate quick and rich responses to a variety of user queries. These import statements load Python code that allow us to work with the JSON data format and the HTTP protocol. The Programming Historian (ISSN: 2397-2068) is released under a CC-BY license.

If you’re new to Python, consider working through the Programming Historian series on dealing with online sources to familiarize yourself with fundamental concepts in Python programming. Great Open Access tutorials cost money to produce.

There are some differences, too. We’ll start by making a GET request to the endpoint using the requests library: We received a ‘200’ code which tells us our request was successful.

If you’re interested you can read more about status codes here. app.config["DEBUG"] = True — Starts the debugger. Once we have a small Flask application working in the form of a home page, we’ll iterate on this site, turning it into a functioning API. Your data set is large, making download via FTP unwieldy or resource-intensive. Next, we make a Python dictionary called ssh_key with the names and values that the API expects. There are many different types of requests. If you'd prefer to clone and install the repository manually, follow these steps: 1.

In order to work with APIs in Python, we need tools that will make those requests. "Creating Web APIs with Python and Flask," Anatomy of a URL - Explains the different sections of a URL (protocol, domain, path, and so on) in greater detail. You can also check it's nutrition value. You’ll see a lot of data in the output because we haven’t parsed the response as JSON in this example, nor have we filtered the results down to specific keys. Flask applications tend to be written on a blank canvas, so to speak, and so are more suited to a contained application such as our prototype API. Patrick Smyth is a PhD student in English and Digital Fellow at the Graduate Center, CUNY. This project is administered by ProgHist Limited, Company Number 12192946. This part of the documentation explains what methods are used, and for what purposes. Congratulations, you’ve created a working web application!

Our initial goal in approaching this research question is to find all newspaper stories in the Chronicling America database that use the term “fire.” Typically, use of an API starts with its documentation. You know how to use that as a variable in your code to streamline and reduce the potential for errors. app = flask.Flask(__name__) — Creates the Flask application object, which contains data about the application and also methods (object functions) that tell the application to do certain actions. With small modifications, these two scripts could be a quick way to add new SSH keys to your DigitalOcean account whenever you need to. Start a new Python script, and call it add_ssh_key.py, and start it off just like the others: We’ll use a function to make our request, but this one will be slightly different. If it’s 200, we’ll return the content of the response as a dictionary, just like we did before. What's In Your Fridge?

Your data changes or is updated frequently. A strong API can be considered the backbone of a potentially limitless number of projects or avenues of research. Next, we look at the response’s HTTP status code. It’s a great API for learning because it has a very simple design, and doesn’t require authentication. At the command line, type. The api_url won’t be the same as in the previous script though; this time it needs to point to https://api.digitalocean.com/v2/account/keys. The value is the actual data. The api_url_base variable is the string that starts off every URL in the DigitalOcean API.

Our API allows users to filter by three fields: id, published (year of publication), and author.

Python API Tutorial: Next Steps. A surprising number of web properties offer web-based APIs alongside the more familiar website or mobile app, including Twitter, Facebook, GitHub, and DigitalOcean.

The Authorization header needs to include our token, so we use Python’s string formatting logic to insert our api_token variable into the string as we create the string.

Next, you’ll need to install Flask.

It’s very common, however, to have an API endpoint that requires us to specify parameters. First, examine the provided URL for an id and select the books that match that id. GitHub encourages use of a request header to indicate the version of the API you want to use.

Let’s start by creating a project for our scripts. Then add your DigitalOcean API token as a variable and set up the request headers in a dictionary.

If it’s anything else, we’ll print a helpful error message associated with the type of status code and then return None.

Let’s explore this by using Python and the DigitalOcean API to add an SSH key to your DigitalOcean account.

Once this example is running, try out the filtering functionality with these HTTP requests: http://127.0.0.1:5000/api/v1/resources/books/all

The website will communicate and integrate with a Food and Recipes API. In Python, the most common library for making requests and working with APIs is the requests library.

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