Websites that expose a web API typically use the HTTP method for the request. But within this data science tutorial, we’ll focus on getting data through the APIs. Wikipediaīesides sharing data, APIs also help developers in other ways. It can also provide extension mechanisms so that users can extend existing functionality in various ways and to varying degrees. #Twitter video download using python api how to#It defines the kinds of calls or requests that can be made, how to make them, the data formats that should be used, the conventions to follow, etc. So even a small change to the website could force us to change the code.įortunately, many large websites provide APIs that allow their data exposure to external developers in a standard and convenient way.Īn application programming interface ( API) is a computing interface that defines interactions between multiple software intermediaries. But this is time-consuming and requires us writing code based on the structure of the webpages. We may also automate the process by web scraping using Python. But it’s not efficient if the data needs to be updated frequently, or if we only need part of the dataset. We might be able to download the data manually. the Google Maps data to find the travel time between locations.the Yelp data to find lists of businesses of interest. the Tweets from Twitter to analyze the sentiments about a product. If you are not familiar with Python, please take our FREE Python crash course: breaking into Data Science.īefore looking at examples to make API calls with Python, we need to introduce some basic definitions.
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