README.md

shutterstock

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R package for Shutterstock REST API. Please refer to the official reference here.

Installation

You can install the released version of shutterstock package from CRAN with:

install.packages("shutterstock")

You can install the development version:

# install.packages("devtools")
devtools::install_github("strboul/shutterstock")

Usage

Search the most popular images about Amsterdam:

library("shutterstock")
amsterdam <- searchImages(query = "Amsterdam", sort = "popular")
d <- amsterdam[["data"]]
do.call(rbind, lapply(d, function(x) {
  data.frame(
    id = x[["id"]],
    description = paste(strtrim(x[["description"]], 35L), "..."), # truncate description field
    preview = x[["assets"]][["preview"]][["url"]],
    stringsAsFactors = FALSE
  )
})) -> popular
head(popular)
##           id                             description
## 1  656151523 Amsterdam Netherlands dancing house ...
## 2  797232592 Bike over canal Amsterdam city. Pic ...
## 3 1028628301 Channel in Amsterdam Netherlands ho ...
## 4  642423370 Amsterdam Netherlands dancing house ...
## 5  490994167 Bridges over canals in Amsterdam at ...
## 6  792840538 Christmas time in Amsterdam with th ...
##                                                                                                                                                                                              preview
## 1        https://image.shutterstock.com/display_pic_with_logo/147241/656151523/stock-photo-amsterdam-netherlands-dancing-houses-over-river-amstel-landmark-in-old-european-city-spring-656151523.jpg
## 2 https://image.shutterstock.com/display_pic_with_logo/147241/797232592/stock-photo-bike-over-canal-amsterdam-city-picturesque-town-landscape-in-netherlands-with-view-on-river-amstel-797232592.jpg
## 3 https://image.shutterstock.com/display_pic_with_logo/147241/1028628301/stock-photo-channel-in-amsterdam-netherlands-houses-river-amstel-landmark-old-european-city-spring-landscape-1028628301.jpg
## 4        https://image.shutterstock.com/display_pic_with_logo/147241/642423370/stock-photo-amsterdam-netherlands-dancing-houses-over-river-amstel-landmark-in-old-european-city-spring-642423370.jpg
## 5                                                         https://image.shutterstock.com/display_pic_with_logo/234100/490994167/stock-photo-bridges-over-canals-in-amsterdam-at-autumn-490994167.jpg
## 6                          https://image.shutterstock.com/display_pic_with_logo/5675/792840538/stock-photo-christmas-time-in-amsterdam-with-the-rijksmuseum-in-netherlands-at-twilight-792840538.jpg

Build a frequency plot from keywords of the images searched with a family query:

library("ggplot2")

images <- searchImages(query = "family", per_page = 225)
# extract image ids:
image.ids <- sapply(seq_along(images[["data"]]), function(i) {
  images[["data"]][[i]][["id"]]
})

data <- lapply(image.ids, function(x) {
  cat(sprintf("[%s] get image: \"%s\"", match(x, image.ids), x), sep = "\n")
  Sys.sleep(4) # try to prevent HTTP 429 error
  details <- getImageDetails(id = x)
  as.character(details[["keywords"]])
})

kws <- do.call(c, data)
tbl.counts <- as.data.frame(table(kws))
top.tbl <- tbl.counts[order(tbl.counts["Freq"], decreasing = TRUE), ]
top <- head(top.tbl, 15L)

ggplot(top, aes(x = kws, y = Freq)) +
  geom_bar(stat = "identity", width = 0.7, color = "black", fill = "white") +
  labs(title = "The most popular family keywords", x = "Keyword") +
  ylab(NULL) +
  theme_bw()

OAuth 2.0 Authentication

OAuth 2.0 authentication is better to use for the queries because its scope is greater than the capabilities of the basic authentication. Read the vignette for more information. For general OAuth problems, please read the Shutterstock OAuth 2.0 guide thoroughly.

Development

PRs are welcomed!

Only GET methods are supported in the current version.

See ?shutterstock package documentation for more information.

Please note that the shutterstock project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.



strboul/shutterstock-r documentation built on May 3, 2019, 8:07 p.m.