API Calls in R
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🤘 Here’s a quick guide on making API calls in R featuring Helium data.
Outline
Install Packages
Require Packages
Make Request
Parse & Explore Data
Adding Parameters to Requests
Adding Headers to Requests
Install Packages
Require Packages
Make Request
Pass a URL into the ‘GET’ function and store the response in a variable called ‘res’.
Response [https://api.helium.io/v1/stats] Date: 2022-08-04 01:25 Status: 200 Content-Type: application/json; charset=utf-8 Size: 922 B
Parse & Explore Data
Use the ‘fromJSON’ function from the ‘jsonlite’ package to parse the response data and then print out the names in the resulting data set.
[1] "data"
Go one level deeper into the data set and print out the names again.
[1] "token_supply" "election_times" "counts" "challenge_counts" "block_times"
Alternatively, you can loop through the names as follows:
[1] "token_supply" [1] "election_times" [1] "counts" [1] "challenge_counts" [1] "block_times"
Get the ‘token_supply’ field from the data.
[1] 124675821
Adding Parameters to Requests
Add ‘min_time’ and ‘max_time’ as parameters on a different endpoint and print the resulting ‘fee’ data.
[1] 10112755000
Adding Headers to Requests
Execute the same query as above except this time specify headers. This will likely be necessary when working with an API which requires an APIÂ Key.
[1] 10112755000
API Calls in R was originally published in Trevor French on Medium, where people are continuing the conversation by highlighting and responding to this story.
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