I'm working with the Discogs API and am running into an issue with rate limiting. I have a loop to to cycle through all of my release id's and then pull back further release information. The rate limit is 25 calls every 60 seconds, but I can't seem to find a way to limit the call from within httr. I'm wondering if perhaps a for loop would be more ideal?
I have pasted my code below:
releasedata <- lapply(as.list(collection$release_id), function(obj){
url <- httr::GET(paste0("https://api.discogs.com/releases/", obj))
url <- rjson::fromJSON(rawToChar(url$content))
data.frame(release_id = obj,
label = url$label[[1]]$name %||% NA,
year = url$year %||% NA,
title = url$title %||% NA,
artist_name = url$artist[[1]]$name %||% NA,
styles = url$styles[[1]] %||% NA,
genre = url$genre[[1]] %||% NA,
average_note = url$community$rating$average %||% NA,
votes = url$community$rating$count %||% NA,
want = url$community$want %||% NA,
have = url$community$have %||% NA,
lowest_price = url$lowest_price %||% NA,
country = url$country %||% NA)
}) %>% do.call(rbind, .) %>%
unique()
If anybody can recommend an appropriate loop for this, I'd appreciate the help.