Wow that's a great job. I was trying out Google's API. I'll match the same
with your result and report the similarity.

Thanking you
Indranil Gayen

On Mon, May 2, 2016 at 11:07 AM, Avinash Celestine <
avinash.celest...@gmail.com> wrote:

> Hi Indranil,
>
> you cant get it readymade in csv format unfortunately.
>
> when you select a state, you have to inspect the data thats loaded into
> your browser (using something like Chrome dev tools).
>
> for this particular page, the data is loaded in json format. Just save it
> offline in a file. from there you essentially write a script to convert
> that to csv or use an online tool like this : http://konklone.io/json
>
> regards
> Avinash
>
>
>
>
>
>
>
> On Mon, May 2, 2016 at 10:39 AM, Indranil Gayen <nil.ga...@gmail.com>
> wrote:
>
>> Hi Avinash,
>> Great work. I was trying the same thing but with the help of Google's
>> Geo-coding API.
>> But I am just wondering how do you get data from
>> http://pmjdy.gov.in/g-i-s.aspx in csv format?
>>
>> On Saturday, 30 April 2016 17:18:45 UTC+5:30, Avinash Celestine wrote:
>>>
>>> Hi
>>>
>>> Came across this site a week or so ago : http://pmjdy.gov.in/g-i-s.aspx.
>>>
>>> This site, which is part of the PMJDY (jan dhan yojana), has
>>> geolocations for post offices among others. There are 1.42 lakh post office
>>> locations given in this map. I have tried to match these locations to
>>> actual pincodes from the list of post offices given in data.gov.in.
>>>
>>> I managed to match about 1.35 lakh. About 7k-8k are unmatched.
>>>
>>> So we have 1.35 lakh post office locations with associated geocodes and
>>> pincodes. Another 7k-8k can be done with a little effort. still working on
>>> it.
>>>
>>> The data is here : https://github.com/avinashcelestine/Pincodes-data
>>>
>>> regards
>>> Avinash
>>>
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