Michael Wheeler is a Candidate for a Bachelor of Science in Data Science at Northeastern University in Evanston, Illinois. As part of an assignment, he was required to use Import.io in the following way:
- Choose a website to get data.
- Set up an extractor using Import.io.
- Run the extractor and import the data into R using the API or structured file.
- Analyze the data.
Michael described his experience this way:
“The assignment was for my Data Collection, Integration, and Analysis class at Northeastern University, taught by Prof. Martin Schedlbauer, and requires using Import.io as a way to learn about the basics of data extraction.
I’m a bit of a foodie, so I figured I would use Import.io to collect recipes. I pulled all the dessert recipes from Delish.com and then did some imputation and analysis in R for assignment credit. If you’re curious or hungry you can find my assignment code and recipe data at this report.
I was honestly very impressed by the flexibility of your product. I found the whole process to be very easy. Chaining the extractors and dealing with infinite scrolling pages was painless and made particularly easy with clear and readable documentation. I liked it so much that I bought a student subscription.”