knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

scryr is a lightweight wrapper around Scryfall, an amazing (and free!) Magic: The Gathering API. With scryr you can ingest card data as tidy data frames, allowing for frictionless integration with tidyverse pipelines.

Currently there are 2 main endpoints: cards and sets. The other 4 endpoints (bulk_data, catalogs, rulings, and symbols) are mostly auxiliary to the main ones.

# Start scryr and helpers
library(dplyr)
library(scryr)

Cards

This endpoints is, by far, the most complex. Make sure to read scry_cards()' full documentation before diving in! For the curious, more relevant information about cards can be found in vignette("syntax") (Query Syntax) and vignette("layouts") (Layouts and Faces).

The most important function here is scry_cards(). It returns a data frame of card data given a query:

# Legendary vampires
vampires <- scry_cards("t:vampire t:legend")

# There are many, many columns
print(vampires)

Note that many columns are list-columns with deeply nested information inside. This is a result of Scryfall's data model and is the reason why scryr needs tibbles to work. But don't be alarmed! It's all pretty consistent.

# Get Anje's related cards
vampires %>%
  filter(name == "Anje, Maid of Dishonor") %>%
  pull(all_parts)

# Get Anje's color identity
vampires %>%
  filter(name == "Anje Falkenrath") %>%
  pull(color_identity)

There are also "singular" functions, that is, functions that return one card instead of many. They are scry_card() and its siblings, all of them methods that find a card given some sort of identifier.

# Using an ID
scry_card("913dd06f-ed2f-4128-9c9d-9cd0d8a55425")$name

# Using a name
scry_card_name("Anje Falkenrath")$name

# Using a collector number and a set
scry_card_number(37, "c19")$name

# Just get a random vampire commander
scry_card_random("t:vampire t:legend")$name

If you're unsure of exactly what card you're looking for, don't worry. Scryfall also has an endpoint that tries to autocomplete the name of a card and scryr makes it available so that you don't have to ever leave R to look for a card.

# There she is
autocomplete_name("falken")[12]

Sets

The other main endpoint retrieves information about sets. There are also many list-columns but, again, they are all handled consistently; following in the footsteps of cards, sets also has a "plural" function and a "singular" function. Note that scry_cards() is the only "plural" method that can filter results with its q argument.

# Get all sets
scry_sets()

# Get a single set with an ID
scry_set("vow")

Other Endpoints

All other endpoints return way less information than the two above. Here is a short demonstration of what else you can do with the rest of scryr:

# Get information from a catalog
head(scry_catalog("keyword-actions"))

# Get rulings for a card
scry_ruling("913dd06f-ed2f-4128-9c9d-9cd0d8a55425")

# Get information about symbols
scry_symbols()

# Parse mana costs
parse_cost("2g2")$cost

# Get names of bulk files
scry_bulk_files()$name

# Download (and parse) bulk rulings
scry_bulk_file("Rulings")


curso-r/scryr documentation built on Feb. 3, 2022, 12:37 a.m.