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Collecting and Organizing Boiler Data From Various Online Databases
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big_apple_py
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pygotham_2015
--room room704 10037 --force
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Marks
Author(s):
Steve Slotterback
Location
Room 704
Date
aug Sun 16
Days Raw Files
Start
13:15
First Raw Start
13:14
Duration
00:25:00
Offset
0:00:35
End
13:40
Last Raw End
13:41
Chapters
00:00
Total cuts_time
27 min.
https://pygotham.org/2015/talks/143/collecting-and-organizing-boiler-data-from-various-online-databases
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In New York City, building management agents and steam heating contractors alike typically work with hundreds of buildings and at least as many boilers. When there is an issue with the boiler, they need to be able to get as much data about that specific boiler as quickly as possible. Thankfully, the New York City Department of Buildings (DOB) and the Department of Environmental Protection (DEP) have published databases online with various data on publicly registered boilers and burners. In this talk, I will discuss the methods I have used to scrape these boiler and burner data from the web using python libraries.
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2015-08-16/13_14_25.dv
Apply:
13:14:25 - 13:41:42 ( 00:27:17 )
S:
13:14:25 -
E:
13:41:42
D:
00:27:17
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13:14:25
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13:41:42
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