In that case, I suggest you keep looking. If a repo hasn’t been updated in the past several years or has been archived, your odds of being able to successfully use the wrapper aren’t high. GitHub links are likely to be the most fruitful. Specifically, I would search for Python wrapper the_name_of_the_api_I’m_looking_for. ? Google itĪ good search engine is a developer or data scientist’s best friend ? If the Python API wrapper list doesn’t have what you need, I suggest you use the usual method for finding things on the interwebs. You can use it to read stock market data into a pandas DataFrame with one line of code. In the next installment I’ll be highlighting yfinance by Ran Aroussi. Thank you! ?įYI, I often highlight Python packages on my Data Awesome mailing list. Then click on the green Create pull request button, summarize the changes, and click on the green Create pull request button at the bottom. Then click the green Propose file change button at the bottom of the page. Here’s a quick guide to editing GitHub Markdown files in the GUI, if you’re new to this:Ĭlick the pencil icon in the right corner and make changes ( here’s a lovely Markdown tutorial if you need it). If you find a Python API wrapper that is missing from the list, please edit the ReadMe file and submit a pull request. We updated and augmented this outdated list because I couldn’t find a good list of functioning API wrappers elsewhere. I cleaned the list up a bit and then, given that coronavirus quarantine ended my children’s ability to earn money from soccer refereeing ⚽️ and cat sitting ?, I paid them to help improve the list. Real Python made a nice list that was forked and updated by johnwmiller. I am maintaining what I believe is the largest list of Python API wrappers over at GitHub. It can be tricky to find Python wrappers for the API you need. If you’re really lucky there is a Python wrapper for the API that works and is well documented. If you’re lucky, they are well-documented. ?ĪPIs can be documented well, poorly, or somewhere in between. Figuring you’ll scrape the data from the website if they don’t give you a direct line to it, so they might as well reduce their server overhead and make your experience better.
Hoping you’ll use their free plan and then need so much data or need the data so frequently you’ll pay them for access to more data.Hoping you’ll build something that will improve the world.Their motivations vary from idealistic to mercenary and might include the following:
You just need to know how to work with the API.Īn organization creates a public-facing API with the intent that you use it.
Source: APIsĪn external facing Application Programming Interface (API) is often intended to provide data in large chunks. Follow me to make sure you don’t miss it! ?Īlready drilled. When to use which scraping package is a whole other article I have in the works. If the data you want is on a website, but not available through a public-facing API, there are several options for scraping it. Then I’ll show you how to use the requests library to get the data you want from an API that doesn’t have a Python wrapper. ? First I’ll show you how and where to look for a Python API wrapper and share the largest repository of Python API wrappers. In this article, I’ll show you the steps to get the data from a public API using Python. When that’s not the case, if you’re lucky, the data will be available through a public-facing an API. Ideally, you have direct access to the data you want in a file or a database you control. I like to think of it more as a renewable resource like wind.? Whatever energy source you choose as your metaphor, you want to harness some of its power! ⚡️
It’s a bit of a cliche to say that data is the new oil.