Actually, in looking again, I noticed a "download in csv" link on the
page, and this appears to provide a csv -formatted table that then can
trivially be read into R by, e.g. read.csv() .

So maybe all the html (or JSON) stuff can be ignored.


-- Bert
Bert Gunter

"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
   -- Clifford Stoll


On Tue, Aug 25, 2015 at 11:59 AM, Jeff Newmiller
<jdnew...@dcn.davis.ca.us> wrote:
> I agree that this is a tricky task... even more so than using a"scraping" 
> package because the page is built dynamically. This will take someone with 
> skills in multiple web technologies to decipher the web page scripts to 
> figure out how to manipulate the server to give you the data, because it 
> isn't actually in the web page.
> ---------------------------------------------------------------------------
> Jeff Newmiller                        The     .....       .....  Go Live...
> DCN:<jdnew...@dcn.davis.ca.us>        Basics: ##.#.       ##.#.  Live Go...
>                                       Live:   OO#.. Dead: OO#..  Playing
> Research Engineer (Solar/Batteries            O.O#.       #.O#.  with
> /Software/Embedded Controllers)               .OO#.       .OO#.  rocks...1k
> ---------------------------------------------------------------------------
> Sent from my phone. Please excuse my brevity.
>
> On August 25, 2015 11:23:26 AM PDT, Bert Gunter <bgunter.4...@gmail.com> 
> wrote:
>>This is not a simple question. The data are in an html-formatted web
>>page. You must "scrape" the html for the data and read it into an R
>>table (or other appropriate R data structure). Searching (the web) on
>>"scrape data from html into R"  listed several packages that claim to
>>enable you to do this "easily". Choose what seems best for you.
>>
>>You should also install and read the documentation for the XML
>>package, which is also used for this purpose, though those you find
>>above may be slicker.
>>
>>Disclaimer: I have no direct experience with this. I'm just pointing
>>out what I believe are relevant resources.
>>
>>Cheers,
>>Bert
>>Bert Gunter
>>
>>"Data is not information. Information is not knowledge. And knowledge
>>is certainly not wisdom."
>>   -- Clifford Stoll
>>
>>
>>On Tue, Aug 25, 2015 at 11:10 AM, Christofer Bogaso
>><bogaso.christo...@gmail.com> wrote:
>>> Hi,
>>>
>>> I would like to download data from below page directly onto R.
>>>
>>>
>>http://www.nseindia.com/live_market/dynaContent/live_watch/equities_stock_watch.htm
>>>
>>> Could you please assist me how can I do that programmatically.
>>>
>>> Thanks for your time.
>>>
>>> ______________________________________________
>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
>>http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>
>>______________________________________________
>>R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>https://stat.ethz.ch/mailman/listinfo/r-help
>>PLEASE do read the posting guide
>>http://www.R-project.org/posting-guide.html
>>and provide commented, minimal, self-contained, reproducible code.
>

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