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Community Data Science Course (Spring 2023)/Week 4 lecture notes
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=== Checklist: How do we use an API to fetch datasets? === Basic idea: your program sends a request, the API sends data back: * Where do you direct your request? (i.e., what are the site's API ''endpoints'') ** For example: Wikipedia's web API endpoint is http://en.wikipedia.org/w/api.php * How do I write my request? Put together a URL; it will be different for different web APIs. ** Check the documentation, look for code samples * How do you send a request? ** Often the simplest way is to try it in your browser ** Python has modules you can use, like <code>requests</code>, to make HTTP requests. The requests library, which has excellent documentation [http://docs.python-requests.org/en/latest/api/ here]. * What do you get back? ** Structured data (usually in the JSON format). *** JSON is ''javascript object notation''. JSON data looks like python lists and dictionaries, and we'll see that it's easy to turn it into a python variable that is a list or dictionary. Here's a sample: * How do you understand (i.e. parse) the data? ** We can display it in Firefox automatically? ** We can draw it out with https://jsonformatter.curiousconcept.com/ ** When it's time to do it Python, we can use the <code>.json()</code> function in the requests module!
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