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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