SHMU made available for DanubeHack 3.0 some environment observation data at:
http://meteo.shmu.sk/customer/home/opendata/
We can say it is a REST API with CSV payload. Thus this scraper is not "the usual one" (thanks to REST and CSV, its job would be much easier compared to other scrapers):
works
python3 -m venv .venv
source .venv/bin/activate
pip install -U pip
# optional step
pip install -r requirements.txt
python scraper.py
Scraper is licensed under BSD license, see full text of license.
This is a scraper that runs on Morph. To get started see the documentation
To download data sign in with GitHub
rows 1 / 1
value_blob | type | name |
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value_blob
2022-07-24T00:37:37
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type
text
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name
latest_observation
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To download data sign in with GitHub
rows 10 / 2930205
ws_avg | rh | lat | elev | pa | cccc | scrap_time | obs_stn | name | wd_avg | date | ta_2m | lon | pr_1h |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ws_avg
1.6
|
rh
87.0
|
lat
48.167780
|
elev
283.0
|
pa
993.4
|
cccc
ASBA
|
scrap_time
2017-12-17T04:53:10
|
obs_stn
11:11813
|
name
BRATISLAVA - KOLIBA
|
wd_avg
51.2
|
date
2016-01-01T00:00:00Z
|
ta_2m
-5.3
|
lon
17.105830
|
pr_1h
0.00
|
ws_avg
1.5
|
rh
81.0
|
lat
48.170280
|
elev
128.0
|
pa
1013.3
|
cccc
ASIB
|
scrap_time
2017-12-17T04:53:10
|
obs_stn
11:11816
|
name
BRATISLAVA - LETISKO
|
wd_avg
60
|
date
2016-01-01T00:00:00Z
|
ta_2m
-5.3
|
lon
17.207500
|
pr_1h
0.00
|
ws_avg
1
|
rh
95.3
|
lat
48.486700
|
elev
176.0
|
pa
1008.0
|
cccc
ASJB
|
scrap_time
2017-12-17T04:53:10
|
obs_stn
11:11819
|
name
JASLOVSKE BOHUNICE
|
wd_avg
111
|
date
2016-01-01T00:00:00Z
|
ta_2m
-3.9
|
lon
17.670800
|
pr_1h
0.00
|
ws_avg
1.1
|
rh
62.0
|
lat
48.613100
|
elev
163.0
|
pa
1009.6
|
cccc
ASPP
|
scrap_time
2017-12-17T04:53:10
|
obs_stn
11:11826
|
name
PIESTANY
|
wd_avg
281
|
date
2016-01-01T00:00:00Z
|
ta_2m
-3.1
|
lon
17.832800
|
pr_1h
0.00
|
ws_avg
0.7
|
rh
86.0
|
lat
49.231900
|
elev
309.0
|
pa
991.6
|
cccc
ASZI
|
scrap_time
2017-12-17T04:53:10
|
obs_stn
11:11841
|
name
ZILINA - DOLNY HRICOV
|
wd_avg
101
|
date
2016-01-01T00:00:00Z
|
ta_2m
-10.0
|
lon
18.617800
|
pr_1h
0.00
|
ws_avg
|
rh
|
lat
48.280560
|
elev
132.0
|
pa
|
cccc
ASNI
|
scrap_time
2017-12-17T04:53:10
|
obs_stn
11:11855
|
name
NITRA
|
wd_avg
|
date
2016-01-01T00:00:00Z
|
ta_2m
|
lon
18.135560
|
pr_1h
|
ws_avg
1.1
|
rh
100.0
|
lat
48.289400
|
elev
261.0
|
pa
997.8
|
cccc
ASMO
|
scrap_time
2017-12-17T04:53:10
|
obs_stn
11:11856
|
name
MOCHOVCE
|
wd_avg
81
|
date
2016-01-01T00:00:00Z
|
ta_2m
-8.2
|
lon
18.456100
|
pr_1h
0.00
|
ws_avg
|
rh
|
lat
47.872500
|
elev
115.0
|
pa
|
cccc
ASHU
|
scrap_time
2017-12-17T04:53:10
|
obs_stn
11:11858
|
name
HURBANOVO
|
wd_avg
|
date
2016-01-01T00:00:00Z
|
ta_2m
|
lon
18.193060
|
pr_1h
|
ws_avg
1
|
rh
89.9
|
lat
48.767500
|
elev
256.0
|
pa
998.1
|
cccc
ASPE
|
scrap_time
2017-12-17T04:53:10
|
obs_stn
11:11867
|
name
PRIEVIDZA
|
wd_avg
133.9
|
date
2016-01-01T00:00:00Z
|
ta_2m
-9.1
|
lon
18.593060
|
pr_1h
0.00
|
ws_avg
1
|
rh
98.2
|
lat
48.169200
|
elev
139.0
|
pa
1013.7
|
cccc
ASDU
|
scrap_time
2017-12-17T04:53:10
|
obs_stn
11:11880
|
name
DUDINCE
|
wd_avg
98
|
date
2016-01-01T00:00:00Z
|
ta_2m
-9.4
|
lon
18.876100
|
pr_1h
0.00
|
Average successful run time: 10 minutes
Total run time: 12 days
Total cpu time used: about 2 hours
Total disk space used: 521 MB