Can not find data of html with R

.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box;
}

I want to import a table with R, but I cannot find it.

library(rvest)

XXX <- read_html('http://www.boerse-frankfurt.de/anleihen/kurshistorie/Inh-Schv_v20122019-Anleihe-2019-AT0000A0U9J2/FSE/1.5.2017_19.11.2018#Kurshistorie')

Thats my code for the website, I am searching for the huge table, called "Historische Kurse Scholz Holding". I cannot find the data in XXX, but i can find it when I use the Inspector on the website directly. Why is it so? Any suggestions how to extract the data with R?

Edit: Copy paste is not an option, I have to do this with 1000 webpages.

Best regards

Edit:

URL_1<- structure(list(carb = c('000A0U9J2', '000A0V7D8', '000A0VL70', '000A0VLS5'), optden = c('http://www.boerse-frankfurt.de/anleihen/kurshistorie/Inh-Schv_v20122019-Anleihe-2019-AT0000A0U9J2/FSE/1.5.2017_19.11.2018#Kurshistorie',
'http://www.boerse-frankfurt.de/anleihen/kurshistorie/Strabag_SEEO-Schuldverschr_201219-Anleihe-2019-AT0000A0V7D8/FSE/1.5.2017_19.11.2018#Kurshistorie', 'http://www.boerse-frankfurt.de/anleihen/kurshistorie/BorealisEO-Schuldv_201219-Anleihe-2019-AT0000A0VL70/FSE/1.5.2017_19.11.2018#Kurshistorie', 'http://www.boerse-frankfurt.de/anleihen/kurshistorie/AndritzEO-Anleihe_201219-Anleihe-2019-AT0000A0VLS5/FSE/1.5.2017_19.11.2018#Kurshistorie')), .Names = c("ISIN", "LINK"
), row.names = c("1", "2", "3", "4"), class = "data.frame")

edited Nov 24 '18 at 22:03

asked Nov 22 '18 at 12:06

Kramer

would you kindly provide the package you are using (read_html)

– Ben T.
Nov 22 '18 at 12:18

Sorry, i am using rvest

– Kramer
Nov 22 '18 at 12:22

1

This is a very complex site that uses XHR requests to load that HTML <div> with the price table. It's also using something called "ajax tokens" to make it harder to do this very task. Those tokens are generated anew each page and get passed with the XHR POST request that asynchronously retrieves the table. You should consider using RSelenium or splashr, both of which use full browser environments to render content. It's possible to eventually work up a solution without using RSelenium or splashr but it will be a tedious journey.

– hrbrmstr
Nov 22 '18 at 12:52

add a comment |

I want to import a table with R, but I cannot find it.

library(rvest)

XXX <- read_html('http://www.boerse-frankfurt.de/anleihen/kurshistorie/Inh-Schv_v20122019-Anleihe-2019-AT0000A0U9J2/FSE/1.5.2017_19.11.2018#Kurshistorie')

Edit: Copy paste is not an option, I have to do this with 1000 webpages.

Best regards

Edit:

edited Nov 24 '18 at 22:03

asked Nov 22 '18 at 12:06

Kramer

would you kindly provide the package you are using (read_html)

– Ben T.
Nov 22 '18 at 12:18

Sorry, i am using rvest

– Kramer
Nov 22 '18 at 12:22

1

This is a very complex site that uses XHR requests to load that HTML <div> with the price table. It's also using something called "ajax tokens" to make it harder to do this very task. Those tokens are generated anew each page and get passed with the XHR POST request that asynchronously retrieves the table. You should consider using RSelenium or splashr, both of which use full browser environments to render content. It's possible to eventually work up a solution without using RSelenium or splashr but it will be a tedious journey.

– hrbrmstr
Nov 22 '18 at 12:52

add a comment |

I want to import a table with R, but I cannot find it.

library(rvest)

XXX <- read_html('http://www.boerse-frankfurt.de/anleihen/kurshistorie/Inh-Schv_v20122019-Anleihe-2019-AT0000A0U9J2/FSE/1.5.2017_19.11.2018#Kurshistorie')

Edit: Copy paste is not an option, I have to do this with 1000 webpages.

Best regards

Edit:

edited Nov 24 '18 at 22:03

asked Nov 22 '18 at 12:06

Kramer

I want to import a table with R, but I cannot find it.

library(rvest)

XXX <- read_html('http://www.boerse-frankfurt.de/anleihen/kurshistorie/Inh-Schv_v20122019-Anleihe-2019-AT0000A0U9J2/FSE/1.5.2017_19.11.2018#Kurshistorie')

Edit: Copy paste is not an option, I have to do this with 1000 webpages.

Best regards

Edit:

html r

edited Nov 24 '18 at 22:03

asked Nov 22 '18 at 12:06

Kramer

edited Nov 24 '18 at 22:03

asked Nov 22 '18 at 12:06

Kramer

edited Nov 24 '18 at 22:03

asked Nov 22 '18 at 12:06

Kramer

asked Nov 22 '18 at 12:06

Kramer

asked Nov 22 '18 at 12:06

Kramer

would you kindly provide the package you are using (read_html)

– Ben T.
Nov 22 '18 at 12:18

Sorry, i am using rvest

– Kramer
Nov 22 '18 at 12:22

1

This is a very complex site that uses XHR requests to load that HTML <div> with the price table. It's also using something called "ajax tokens" to make it harder to do this very task. Those tokens are generated anew each page and get passed with the XHR POST request that asynchronously retrieves the table. You should consider using RSelenium or splashr, both of which use full browser environments to render content. It's possible to eventually work up a solution without using RSelenium or splashr but it will be a tedious journey.

– hrbrmstr
Nov 22 '18 at 12:52

add a comment |

would you kindly provide the package you are using (read_html)

– Ben T.
Nov 22 '18 at 12:18

Sorry, i am using rvest

– Kramer
Nov 22 '18 at 12:22

1

This is a very complex site that uses XHR requests to load that HTML <div> with the price table. It's also using something called "ajax tokens" to make it harder to do this very task. Those tokens are generated anew each page and get passed with the XHR POST request that asynchronously retrieves the table. You should consider using RSelenium or splashr, both of which use full browser environments to render content. It's possible to eventually work up a solution without using RSelenium or splashr but it will be a tedious journey.

– hrbrmstr
Nov 22 '18 at 12:52

would you kindly provide the package you are using (read_html)

– Ben T.
Nov 22 '18 at 12:18

Sorry, i am using rvest

– Kramer
Nov 22 '18 at 12:22

This is a very complex site that uses XHR requests to load that HTML <div> with the price table. It's also using something called "ajax tokens" to make it harder to do this very task. Those tokens are generated anew each page and get passed with the XHR POST request that asynchronously retrieves the table. You should consider using RSelenium or splashr, both of which use full browser environments to render content. It's possible to eventually work up a solution without using RSelenium or splashr but it will be a tedious journey.

– hrbrmstr
Nov 22 '18 at 12:52

add a comment |

1 Answer
1

active

oldest

votes

Here is a solution involving RSelenium via docker (more information can be found here). First, a few preliminaries:

In the docker terminal

docker run -d -p 4445:4444 selenium/standalone-firefox:2.53.0

In R

remDr <- RSelenium::remoteDriver(remoteServerAddr = "192.168.99.100", port = 4445L)

remDr$open(silent = T)

Now we can navigate to the page and extract the table

url1 <- "http://www.boerse-frankfurt.de/anleihen/kurshistorie/Inh-Schv_v20122019-Anleihe-2019-AT0000A0U9J2/FSE/1.5.2017_19.11.2018#Kurshistorie"

remDr$navigate(url1)

pageSource <- read_html(remDr$getPageSource()[[1]])

dt <- html_table(html_nodes(pageSource, ".table"), fill = T)

And here is the result

# printing the head of the data frame

> head(dt[[7]])

       Datum Eröffnung Schluss Tageshoch Tagestief Umsatz   

1 19.11.2018    1,5000  1,5000    1,5000    1,5000  1.000 NA

2 16.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

3 15.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

4 14.11.2018    1,5000  1,5000    1,5000    1,5000  2.000 NA

5 13.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

6 12.11.2018    1,2500  2,2500    2,2500    1,2500  1.127 NA

Addendum

As indicated in the link above, here is how to get started with RSelenium and docker:

Install docker

Pull an image, e.g. (in the docker terminal) docker pull selenium/standalone-firefox:2.53.0

Now one can proceed with 1. and 2. above

edited Nov 22 '18 at 14:54

answered Nov 22 '18 at 13:28

niko

3,3091421

I made it, thanks

– Kramer
Nov 23 '18 at 16:47

So, I want to extend the whole stuff with a while loop, but my one is not working, and the solutions which are given back are unconstant anf often zero. Is it passible to do this R code a few thousand times in a row? I have edit a data set with 4 rows for which I am trying to do a while loop.

– Kramer
Nov 24 '18 at 22:01

@Kramer RSelenium is unfortunately unstable at times and rather slow. To avoid errors you might need to add some sys.Sleep() in order to let the page load. Also, what you might want to consider wrapping the scrapping process in a try() in order to handle errors e.g. for(k in seq(1000)) res <- try(myScrapper(url[k])) (and maybe also a while loop in order to try multiple times if the attempt fails).

– niko
Nov 24 '18 at 22:07

@Kramer Also, to state the obvious, check that for all links the above code works, i.e. that it indeed gathers the relevant data.

– niko
Nov 24 '18 at 22:11

yes they are :)

– Kramer
Nov 24 '18 at 22:21

add a comment |

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1 Answer
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1 Answer
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Here is a solution involving RSelenium via docker (more information can be found here). First, a few preliminaries:

In the docker terminal

docker run -d -p 4445:4444 selenium/standalone-firefox:2.53.0

In R

remDr <- RSelenium::remoteDriver(remoteServerAddr = "192.168.99.100", port = 4445L)

remDr$open(silent = T)

Now we can navigate to the page and extract the table

url1 <- "http://www.boerse-frankfurt.de/anleihen/kurshistorie/Inh-Schv_v20122019-Anleihe-2019-AT0000A0U9J2/FSE/1.5.2017_19.11.2018#Kurshistorie"

remDr$navigate(url1)

pageSource <- read_html(remDr$getPageSource()[[1]])

dt <- html_table(html_nodes(pageSource, ".table"), fill = T)

And here is the result

# printing the head of the data frame

> head(dt[[7]])

       Datum Eröffnung Schluss Tageshoch Tagestief Umsatz   

1 19.11.2018    1,5000  1,5000    1,5000    1,5000  1.000 NA

2 16.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

3 15.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

4 14.11.2018    1,5000  1,5000    1,5000    1,5000  2.000 NA

5 13.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

6 12.11.2018    1,2500  2,2500    2,2500    1,2500  1.127 NA

Addendum

As indicated in the link above, here is how to get started with RSelenium and docker:

Install docker

Pull an image, e.g. (in the docker terminal) docker pull selenium/standalone-firefox:2.53.0

Now one can proceed with 1. and 2. above

edited Nov 22 '18 at 14:54

answered Nov 22 '18 at 13:28

niko

3,3091421

I made it, thanks

– Kramer
Nov 23 '18 at 16:47

So, I want to extend the whole stuff with a while loop, but my one is not working, and the solutions which are given back are unconstant anf often zero. Is it passible to do this R code a few thousand times in a row? I have edit a data set with 4 rows for which I am trying to do a while loop.

– Kramer
Nov 24 '18 at 22:01

@Kramer RSelenium is unfortunately unstable at times and rather slow. To avoid errors you might need to add some sys.Sleep() in order to let the page load. Also, what you might want to consider wrapping the scrapping process in a try() in order to handle errors e.g. for(k in seq(1000)) res <- try(myScrapper(url[k])) (and maybe also a while loop in order to try multiple times if the attempt fails).

– niko
Nov 24 '18 at 22:07

@Kramer Also, to state the obvious, check that for all links the above code works, i.e. that it indeed gathers the relevant data.

– niko
Nov 24 '18 at 22:11

yes they are :)

– Kramer
Nov 24 '18 at 22:21

add a comment |

Here is a solution involving RSelenium via docker (more information can be found here). First, a few preliminaries:

In the docker terminal

docker run -d -p 4445:4444 selenium/standalone-firefox:2.53.0

In R

remDr <- RSelenium::remoteDriver(remoteServerAddr = "192.168.99.100", port = 4445L)

remDr$open(silent = T)

Now we can navigate to the page and extract the table

url1 <- "http://www.boerse-frankfurt.de/anleihen/kurshistorie/Inh-Schv_v20122019-Anleihe-2019-AT0000A0U9J2/FSE/1.5.2017_19.11.2018#Kurshistorie"

remDr$navigate(url1)

pageSource <- read_html(remDr$getPageSource()[[1]])

dt <- html_table(html_nodes(pageSource, ".table"), fill = T)

And here is the result

# printing the head of the data frame

> head(dt[[7]])

       Datum Eröffnung Schluss Tageshoch Tagestief Umsatz   

1 19.11.2018    1,5000  1,5000    1,5000    1,5000  1.000 NA

2 16.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

3 15.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

4 14.11.2018    1,5000  1,5000    1,5000    1,5000  2.000 NA

5 13.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

6 12.11.2018    1,2500  2,2500    2,2500    1,2500  1.127 NA

Addendum

As indicated in the link above, here is how to get started with RSelenium and docker:

Install docker

Pull an image, e.g. (in the docker terminal) docker pull selenium/standalone-firefox:2.53.0

Now one can proceed with 1. and 2. above

edited Nov 22 '18 at 14:54

answered Nov 22 '18 at 13:28

niko

3,3091421

I made it, thanks

– Kramer
Nov 23 '18 at 16:47

So, I want to extend the whole stuff with a while loop, but my one is not working, and the solutions which are given back are unconstant anf often zero. Is it passible to do this R code a few thousand times in a row? I have edit a data set with 4 rows for which I am trying to do a while loop.

– Kramer
Nov 24 '18 at 22:01

@Kramer RSelenium is unfortunately unstable at times and rather slow. To avoid errors you might need to add some sys.Sleep() in order to let the page load. Also, what you might want to consider wrapping the scrapping process in a try() in order to handle errors e.g. for(k in seq(1000)) res <- try(myScrapper(url[k])) (and maybe also a while loop in order to try multiple times if the attempt fails).

– niko
Nov 24 '18 at 22:07

@Kramer Also, to state the obvious, check that for all links the above code works, i.e. that it indeed gathers the relevant data.

– niko
Nov 24 '18 at 22:11

yes they are :)

– Kramer
Nov 24 '18 at 22:21

add a comment |

Here is a solution involving RSelenium via docker (more information can be found here). First, a few preliminaries:

In the docker terminal

docker run -d -p 4445:4444 selenium/standalone-firefox:2.53.0

In R

remDr <- RSelenium::remoteDriver(remoteServerAddr = "192.168.99.100", port = 4445L)

remDr$open(silent = T)

Now we can navigate to the page and extract the table

url1 <- "http://www.boerse-frankfurt.de/anleihen/kurshistorie/Inh-Schv_v20122019-Anleihe-2019-AT0000A0U9J2/FSE/1.5.2017_19.11.2018#Kurshistorie"

remDr$navigate(url1)

pageSource <- read_html(remDr$getPageSource()[[1]])

dt <- html_table(html_nodes(pageSource, ".table"), fill = T)

And here is the result

# printing the head of the data frame

> head(dt[[7]])

       Datum Eröffnung Schluss Tageshoch Tagestief Umsatz   

1 19.11.2018    1,5000  1,5000    1,5000    1,5000  1.000 NA

2 16.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

3 15.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

4 14.11.2018    1,5000  1,5000    1,5000    1,5000  2.000 NA

5 13.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

6 12.11.2018    1,2500  2,2500    2,2500    1,2500  1.127 NA

Addendum

As indicated in the link above, here is how to get started with RSelenium and docker:

Install docker

Pull an image, e.g. (in the docker terminal) docker pull selenium/standalone-firefox:2.53.0

Now one can proceed with 1. and 2. above

edited Nov 22 '18 at 14:54

answered Nov 22 '18 at 13:28

niko

3,3091421

Here is a solution involving RSelenium via docker (more information can be found here). First, a few preliminaries:

In the docker terminal

docker run -d -p 4445:4444 selenium/standalone-firefox:2.53.0

In R

remDr <- RSelenium::remoteDriver(remoteServerAddr = "192.168.99.100", port = 4445L)

remDr$open(silent = T)

Now we can navigate to the page and extract the table

url1 <- "http://www.boerse-frankfurt.de/anleihen/kurshistorie/Inh-Schv_v20122019-Anleihe-2019-AT0000A0U9J2/FSE/1.5.2017_19.11.2018#Kurshistorie"

remDr$navigate(url1)

pageSource <- read_html(remDr$getPageSource()[[1]])

dt <- html_table(html_nodes(pageSource, ".table"), fill = T)

And here is the result

# printing the head of the data frame

> head(dt[[7]])

       Datum Eröffnung Schluss Tageshoch Tagestief Umsatz   

1 19.11.2018    1,5000  1,5000    1,5000    1,5000  1.000 NA

2 16.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

3 15.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

4 14.11.2018    1,5000  1,5000    1,5000    1,5000  2.000 NA

5 13.11.2018    1,5000  1,5000    1,5000    1,5000     NA NA

6 12.11.2018    1,2500  2,2500    2,2500    1,2500  1.127 NA

Addendum

As indicated in the link above, here is how to get started with RSelenium and docker:

Install docker

Pull an image, e.g. (in the docker terminal) docker pull selenium/standalone-firefox:2.53.0

Now one can proceed with 1. and 2. above

edited Nov 22 '18 at 14:54

answered Nov 22 '18 at 13:28

niko

3,3091421

edited Nov 22 '18 at 14:54

answered Nov 22 '18 at 13:28

niko

3,3091421

answered Nov 22 '18 at 13:28

niko

3,3091421

answered Nov 22 '18 at 13:28

niko

3,3091421

I made it, thanks

– Kramer
Nov 23 '18 at 16:47

So, I want to extend the whole stuff with a while loop, but my one is not working, and the solutions which are given back are unconstant anf often zero. Is it passible to do this R code a few thousand times in a row? I have edit a data set with 4 rows for which I am trying to do a while loop.

– Kramer
Nov 24 '18 at 22:01

@Kramer RSelenium is unfortunately unstable at times and rather slow. To avoid errors you might need to add some sys.Sleep() in order to let the page load. Also, what you might want to consider wrapping the scrapping process in a try() in order to handle errors e.g. for(k in seq(1000)) res <- try(myScrapper(url[k])) (and maybe also a while loop in order to try multiple times if the attempt fails).

– niko
Nov 24 '18 at 22:07

@Kramer Also, to state the obvious, check that for all links the above code works, i.e. that it indeed gathers the relevant data.

– niko
Nov 24 '18 at 22:11

yes they are :)

– Kramer
Nov 24 '18 at 22:21

add a comment |

I made it, thanks

– Kramer
Nov 23 '18 at 16:47

So, I want to extend the whole stuff with a while loop, but my one is not working, and the solutions which are given back are unconstant anf often zero. Is it passible to do this R code a few thousand times in a row? I have edit a data set with 4 rows for which I am trying to do a while loop.

– Kramer
Nov 24 '18 at 22:01

@Kramer RSelenium is unfortunately unstable at times and rather slow. To avoid errors you might need to add some sys.Sleep() in order to let the page load. Also, what you might want to consider wrapping the scrapping process in a try() in order to handle errors e.g. for(k in seq(1000)) res <- try(myScrapper(url[k])) (and maybe also a while loop in order to try multiple times if the attempt fails).

– niko
Nov 24 '18 at 22:07

@Kramer Also, to state the obvious, check that for all links the above code works, i.e. that it indeed gathers the relevant data.

– niko
Nov 24 '18 at 22:11

yes they are :)

– Kramer
Nov 24 '18 at 22:21

I made it, thanks

– Kramer
Nov 23 '18 at 16:47

So, I want to extend the whole stuff with a while loop, but my one is not working, and the solutions which are given back are unconstant anf often zero. Is it passible to do this R code a few thousand times in a row? I have edit a data set with 4 rows for which I am trying to do a while loop.

– Kramer
Nov 24 '18 at 22:01

@Kramer RSelenium is unfortunately unstable at times and rather slow. To avoid errors you might need to add some sys.Sleep() in order to let the page load. Also, what you might want to consider wrapping the scrapping process in a try() in order to handle errors e.g. for(k in seq(1000)) res <- try(myScrapper(url[k])) (and maybe also a while loop in order to try multiple times if the attempt fails).

– niko
Nov 24 '18 at 22:07

@Kramer Also, to state the obvious, check that for all links the above code works, i.e. that it indeed gathers the relevant data.

– niko
Nov 24 '18 at 22:11

yes they are :)

– Kramer
Nov 24 '18 at 22:21

add a comment |

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