Reputation: 371
I have a list of 438 pitcher names that look like this (in XML Nodeset):
> pitcherlinks[[1]]
<td class="left " data-append-csv="abadfe01" data-stat="player" csk="Abad,Fernando0.01">
<a href="/players/a/abadfe01.shtml">Fernando Abad</a>*
</td>
> pitcherlinks[[2]]
<td class="left " data-append-csv="adlemti01" data-stat="player" csk="Adleman,Tim0.01">
<a href="/players/a/adlemti01.shtml">Tim Adleman</a>
</td>
How do I extract the names like Fernando Abad
and the associated links like /players/a/abadfe01.shtml
Upvotes: 3
Views: 7049
Reputation: 4378
Since you have a list, an apply function is used to walk through the list. Each function uses read_html
to parse the hmtl fragment in the list using the CSS selector a
to find the anchors (links). The names come from the html_text
and the link is in the attribute href
library(rvest)
pitcherlinks <- list()
pitcherlinks[[1]] <-
'<td class="left " data-append-csv="abadfe01" data-stat="player" csk="Abad,Fernando0.01">
<a href="/players/a/abadfe01.shtml">Fernando Abad</a>*
</td>'
pitcherlinks[[2]] <-
'<td class="left " data-append-csv="adlemti01" data-stat="player" csk="Adleman,Tim0.01">
<a href="/players/a/adlemti01.shtml">Tim Adleman</a>
</td>'
names <- sapply(pitcherlinks, function(x) {x %>% read_html() %>% html_nodes("a") %>% html_text()})
links <- sapply(pitcherlinks, function(x) {x %>% read_html() %>% html_nodes("a") %>% html_attr("href")})
names
# [1] "Fernando Abad" "Tim Adleman"
links
# [1] "/players/a/abadfe01.shtml" "/players/a/adlemti01.shtml"
Upvotes: 6