Hello,
You can try the following. It worked with me.
Read from the link and post-process the html data extracting the element
"table" and then the table itself.
This table has 3 rows before the actual table so the lapply below will
get the table and its header.
library(httr)
library(rvest)
link <-
"https://timeseries.sepa.org.uk/KiWIS/KiWIS?service=kisters&type=queryServices&datasource=0&request=getTimeseriesValues&ts_path=1/14972/Q/15m.Cmd&from=2020-01-01&to=2020-01-07&returnfields=Timestamp,Value,Quality%20Code";
page <- read_html(link)
page |>
html_elements("table") |>
html_table(header = TRUE) |>
lapply(\(x) {
hdr <- unlist(x[3, ])
y <- x[-(1:3), ]
names(y) <- hdr
y
})
Hope this helps,
Rui Barradas
Às 09:43 de 26/08/2022, Nick Wray escreveu:
hello - I need to download flow data for Scottish river catchments. The
data is available from the Scottish Environmental protection Agency body
and that doesn't present a problem. For example the API beneath will
access the 96 flow recordings on the River Tweed on Jan 1st 2020 at one
station:
https://timeseries.sepa.org.uk/KiWIS/KiWIS?service=kisters&type=queryServices&datasource=0&request=getTimeseriesValues&ts_path=1/14972/Q/15m.Cmd&from=2020-01-01&to=2020-01-07&returnfields=Timestamp,Value,Quality%20Code
But this data comes as HTML. I can copy and paste it into a text doc which
can then be read into R but that's slow and time-consuming. I have tried
using the package "rvest" to import the HTML into R but I have got nowhere.
Can anyone give me any pointers as to how to do this?
Thanks Nick Wray
[[alternative HTML version deleted]]
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