It may be useful to retrieve multiple or all of the resources for a package. For example, the TTC Subway Delay Data is released monthly, with a new file each month.

It would be cumbersome to retrieve them one at a time, e.g. via

library(dplyr)

delays_jan_2019 <- ttc_subway_delays_resources %>%
  filter(name == "ttc-subway-delay-january-2019") %>%
  get_resource()

delays_feb_2019 <- ttc_subway_delays_resources %>%
  filter(name == "ttc-subway-delay-february-2019") %>%
  get_resource()

and so on.

Instead, you can iterate through the different resources using the purrr package and get them in a nested tibble:

All of these resources contain equivalent data, with the same column names

so the data can easily be unnested and combined: