You could flatten the XML first.
flatten_xml <- function(x) {
if (length(xmlChildren(x)) == 0) structure(list(xmlValue(x)), .Names = xmlName(xmlParent(x)))
else Reduce(append, lapply(xmlChildren(x), flatten_xml))
}
dfs <- lapply(getNodeSet(xmlDoc,"//location"), function(x) data.frame(flatten_xml(x)))
allnames <- unique(c(lapply(dfs, colnames), recursive = TRUE))
df <- do.call(rbind, lapply(dfs, function(df) { df[, setdiff(allnames,colnames(df))] <- NA; df }))
head(df)
# city state zip country status last_name phone email last_name.1
# 1 Birmingham Alabama 35294 United States Recruiting Louis B Nabors, MD 205-934-1813 bnabors@uab.edu Louis B Nabors, MD
# 2 Mobile Alabama 36604 United States Recruiting Melanie Alford, RN 251-445-9649 malford@usouthal.edu Pamela Francisco, CCRP
# 3 Phoenix Arizona 85013 United States Recruiting Lynn Ashby, MD 602-406-6262 LASHBY@CHW.EDU Lynn Ashby, MD
# 4 Tucson Arizona 85724 United States Recruiting Jamie Holt 520-626-6800 jholt1@email.arizona.edu Baldassarre Stea, MD, PhD
# 5 Little Rock Arkansas 72205 United States Recruiting Wilma Brooks, RN 501-686-8530 ALEubanks@uams.edu Amanda Eubanks, APN
# 6 Berkeley California 94704 United States Withdrawn <NA> <NA> <NA> <NA>
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