ejemplos - tablas en html5

Raspado de tablas html en marcos de datos R utilizando el paquete XML

Question

¿Cómo raspo las tablas html usando el paquete XML?

Tome, por ejemplo, esta página de wikipedia en el equipo de fútbol brasileño . Me gustaría leerlo en R y obtener la tabla "lista de todos los partidos que Brasil jugó contra los equipos reconocidos de FIFA" como un marco de datos. ¿Cómo puedo hacer esto?

Answer 1

... o un intento más corto:

library(XML)
library(RCurl)
library(rlist)
theurl <- getURL("https://en.wikipedia.org/wiki/Brazil_national_football_team",.opts = list(ssl.verifypeer = FALSE) )
tables <- readHTMLTable(theurl)
tables <- list.clean(tables, fun = is.null, recursive = FALSE)
n.rows <- unlist(lapply(tables, function(t) dim(t)[1]))

la tabla elegida es la más larga en la página

tables[[which.max(n.rows)]]

Answer 2

El rvest junto con xml2 es otro paquete popular para analizar páginas web html.

library(rvest)
theurl <- "http://en.wikipedia.org/wiki/Brazil_national_football_team"
file<-read_html(theurl)
tables<-html_nodes(file, "table")
table1 <- html_table(tables[4], fill = TRUE)

La sintaxis es más fácil de usar que el paquete xml y para la mayoría de las páginas web o código xml ofrece todas las opciones que necesita.

Answer 3

Otra opción usando Xpath.

library(RCurl)
library(XML)

theurl <- "http://en.wikipedia.org/wiki/Brazil_national_football_team"
webpage <- getURL(theurl)
webpage <- readLines(tc <- textConnection(webpage)); close(tc)

pagetree <- htmlTreeParse(webpage, error=function(...){}, useInternalNodes = TRUE)

# Extract table header and contents
tablehead <- xpathSApply(pagetree, "//*/table[@class=''wikitable sortable'']/tr/th", xmlValue)
results <- xpathSApply(pagetree, "//*/table[@class=''wikitable sortable'']/tr/td", xmlValue)

# Convert character vector to dataframe
content <- as.data.frame(matrix(results, ncol = 8, byrow = TRUE))

# Clean up the results
content[,1] <- gsub(" ", "", content[,1])
tablehead <- gsub(" ", "", tablehead)
names(content) <- tablehead

Produce este resultado

> head(content)
   Opponent Played Won Drawn Lost Goals for Goals against % Won
1 Argentina     94  36    24   34       148           150 38.3%
2  Paraguay     72  44    17   11       160            61 61.1%
3   Uruguay     72  33    19   20       127            93 45.8%
4     Chile     64  45    12    7       147            53 70.3%
5      Peru     39  27     9    3        83            27 69.2%
6    Mexico     36  21     6    9        69            34 58.3%

Answer 4

library(RCurl)
library(XML)

# Download page using RCurl
# You may need to set proxy details, etc.,  in the call to getURL
theurl <- "http://en.wikipedia.org/wiki/Brazil_national_football_team"
webpage <- getURL(theurl)
# Process escape characters
webpage <- readLines(tc <- textConnection(webpage)); close(tc)

# Parse the html tree, ignoring errors on the page
pagetree <- htmlTreeParse(webpage, error=function(...){})

# Navigate your way through the tree. It may be possible to do this more efficiently using getNodeSet
body <- pagetree$children$html$children$body 
divbodyContent <- body$children$div$children[[1]]$children$div$children[[4]]
tables <- divbodyContent$children[names(divbodyContent)=="table"]

#In this case, the required table is the only one with class "wikitable sortable"  
tableclasses <- sapply(tables, function(x) x$attributes["class"])
thetable  <- tables[which(tableclasses=="wikitable sortable")]$table

#Get columns headers
headers <- thetable$children[[1]]$children
columnnames <- unname(sapply(headers, function(x) x$children$text$value))

# Get rows from table
content <- c()
for(i in 2:length(thetable$children))
{
   tablerow <- thetable$children[[i]]$children
   opponent <- tablerow[[1]]$children[[2]]$children$text$value
   others <- unname(sapply(tablerow[-1], function(x) x$children$text$value)) 
   content <- rbind(content, c(opponent, others))
}

# Convert to data frame
colnames(content) <- columnnames
as.data.frame(content)

Editado para agregar:

Muestra de salida

                     Opponent Played Won Drawn Lost Goals for Goals against  % Won
    1               Argentina     94  36    24   34       148           150  38.3%
    2                Paraguay     72  44    17   11       160            61  61.1%
    3                 Uruguay     72  33    19   20       127            93  45.8%
    ...