Internet Archive API Client

This API client for the Internet Archive is intended primarily for searching for items, retrieving metadata for items, and downloading the files associated with the items. The functions can be used with the pipe operator (%>%) from magrittr and the data manipulation verbs in dplyr to create pipelines from searching to downloading. For the full details of what is possible with the Internet Archive API, see their advanced search help.

First load the package. We will also use dplyr for manipulating the retrieved data.

library(internetarchive)
library(dplyr)

Basic search and browse

The simplest way to search the Internet Archive is to use a keyword search. The following function searches for these keywords in the most important metadata fields, and returns a list of item identifiers.

ia_keyword_search("isaac hecker")
## 78 total items found. This query requested 5 results.
## [1] "heckerstudiesess0000unse"      "yankeepaulisaact0000hold"     
## [3] "isaactheckerdiar0000heck"      "isaactheckerdiar0000heck_k1j2"
## [5] "isaacheckerameri0000obri"

You can pass an item identifier to the ia_browse() function to open an item in your browser. If you pass this function multiple identifiers, it will open only the first one.

ia_browse("TheLifeOfFatherHecker")

Getting item metadata and files

Once you have retrieved a list of items, you can retrieve their metadata and the list of files associated with the items.

To get a single item’s metadata, you can pass its identifier to the ia_get_items() function.

hecker <- ia_get_items("TheLifeOfFatherHecker")

The result is a list where the names of items in the list are the item identifiers, and the rest of the list is the metadata. This nested list can be difficult to work with, so the ia_metadata() returns a data frame of the metadata, and ia_files() returns a data frame of the files associated with the item.

ia_metadata(hecker)
ia_files(hecker)

These functions can also retrieve the information for multiple items when used in a pipeline. Here we search for all the items about Hecker, retrieve their metadata, and turn it into a data frame. We then filter the data frame to get only the titles.

ia_keyword_search("isaac hecker", num_results = 3) %>% 
  ia_get_items() %>% 
  ia_metadata() %>% 
  filter(field == "title") %>% 
  select(value)

Downloading files

The ia_download() function will download all the files in a data frame returned from ia_files(). This function should be used with caution, and you should first filter the data frame to download only the files that you wish. In the following example, we retrieve a list of all the files associated with items published by the American Tract Society in 1864. Then we filter the list so we get only text files, then we pick only the first text file associated with each item. Finally we download the files to a directory we specify (in this case, a temporary directory).

dir <- tempdir()
ia_search(ats_query, num_results = 2) %>% 
  ia_get_items() %>% 
  ia_files() %>% 
  filter(type == "txt") %>% 
  group_by(id) %>% 
  slice(1) %>% 
  ia_download(dir = dir, overwrite = FALSE) %>% 
  glimpse()

Notice that ia_download() returns a modified version of the data frame that was passed to it, adding a column local_file with the path to the download files.

If the overwrite = argument is FALSE, then you can pass the same data frame of files to ia_download() and it will download only the files that it has not already downloaded.