I am trying to fetch some data from an publicly available API available here:
with the documentation being here:
Selecting the options according to the picture below:
Then I get the following table which tells me how to get the data through API:
My try of getting the data in Python was:
import requests
url = "http://prognos.konj.se/PxWeb/api/v1/en/SenastePrognosen/f06_rantorochvaxelkurser/F0604.px"
querystring = {
"query": [
{
"code": "variabel",
"selection": {
"filter": "item",
"values": [
"F0604Sek10y"
]
}
},
{
"code": "period",
"selection": {
"filter": "item",
"values": [
"453",
"454",
"455"
]
}
}
],
"response": {
"format": "px"
}
}
response = requests.request("GET", url, params=querystring)
print(response.text)
Does not yield the correct data (I get some weird output though? Edit: I selected 3 values in the first picture, now I got many more values in the output, my guess is that I should use the Json query in the 2:nd picture somehow?). Edit 2: the result is a JSON of the different query options available, without the expected data
This should be basic, but I do not get the correct answer. So, how should I fetch the wanted data from the API provided above?
EDIT:
The Answer I got from this was:
{"title":"Interest rates","variables":[{"code":"variabel","text":"variable","values":["F0604Sek10y","F0604Euro10y","F0604Usd10y","F0604Sek5y","F0604Ssvx6m","F0604Ssvx3m","F0604Euro3m","F0604Usd3m","F0604Repo_u","F0604Repo","F0604Euros_u","F0604Usds_u","F0604Kix6ranta_u","F0604Estr_u"],"valueTexts":["10-year government bond yield, Sweden","10-year government bond yield, Germany","10-year government bond yield, USA","5-year government bond yield, Sweden","6-month treasury bill rate, Sweden","3-month treasury bill rate, Sweden","3-month treasury bill rate, Germany","3-month treasury bill rate, USA","Repo rate, Sweden, at period end","Repo rate, Sweden, monthly average","Policy rate, euro area, at period end","Policy rate, USA, at period-end","Policy rate, KIX6-weighted, at period-end","Overnight rate, euro area (Estr), at period-end"]},{"code":"enhet","text":"units","values":["PCT"],"valueTexts":["Per cent"]},{"code":"period","text":"period","values":["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19","20","21","22","23","24","25","26","27","28","29","30","31","32","33","34","35","36","37","38","39","40","41","42","43","44","45","46","47","48","49","50","51","52","53","54","55","56","57","58","59","60","61","62","63","64","65","66","67","68","69","70","71","72","73","74","75","76","77","78","79","80","81","82","83","84","85","86","87","88","89","90","91","92","93","94","95","96","97","98","99","100","101","102","103","104","105","106","107","108","109","110","111","112","113","114","115","116","117","118","119","120","121","122","123","124","125","126","127","128","129","130","131","132","133","134","135","136","137","138","139","140","141","142","143","144","145","146","147","148","149","150","151","152","153","154","155","156","157","158","159","160","161","162","163","164","165","166","167","168","169","170","171","172","173","174","175","176","177","178","179","180","181","182","183","184","185","186","187","188","189","190","191","192","193","194","195","196","197","198","199","200","201","202","203","204","205","206","207","208","209","210","211","212","213","214","215","216","217","218","219","220","221","222","223","224","225","226","227","228","229","230","231","232","233","234","235","236","237","238","239","240","241","242","243","244","245","246","247","248","249","250","251","252","253","254","255","256","257","258","259","260","261","262","263","264","265","266","267","268","269","270","271","272","273","274","275","276","277","278","279","280","281","282","283","284","285","286","287","288","289","290","291","292","293","294","295","296","297","298","299","300","301","302","303","304","305","306","307","308","309","310","311","312","313","314","315","316","317","318","319","320","321","322","323","324","325","326","327","328","329","330","331","332","333","334","335","336","337","338","339","340","341","342","343","344","345","346","347","348","349","350","351","352","353","354","355","356","357","358","359","360","361","362","363","364","365","366","367","368","369","370","371","372","373","374","375","376","377","378","379","380","381","382","383","384","385","386","387","388","389","390","391","392","393","394","395","396","397","398","399","400","401","402","403","404","405","406","407","408","409","410","411","412","413","414","415","416","417","418","419","420","421","422","423","424","425","426","427","428","429","430","431","432","433","434","435","436","437","438","439","440","441","442","443","444","445","446","447","448","449","450","451","452","453","454","455"],"valueTexts":["1993M01","1993M02","1993M03","1993M04","1993M05","1993M06","1993M07","1993M08","1993M09","1993M10","1993M11","1993M12","1994M01","1994M02","1994M03","1994M04","1994M05","1994M06","1994M07","1994M08","1994M09","1994M10","1994M11","1994M12","1995M01","1995M02","1995M03","1995M04","1995M05","1995M06","1995M07","1995M08","1995M09","1995M10","1995M11","1995M12","1996M01","1996M02","1996M03","1996M04","1996M05","1996M06","1996M07","1996M08","1996M09","1996M10","1996M11","1996M12","1997M01","1997M02","1997M03","1997M04","1997M05","1997M06","1997M07","1997M08","1997M09","1997M10","1997M11","1997M12","1998M01","1998M02","1998M03","1998M04","1998M05","1998M06","1998M07","1998M08","1998M09","1998M10","1998M11","1998M12","1999M01","1999M02","1999M03","1999M04","1999M05","1999M06","1999M07","1999M08","1999M09","1999M10","1999M11","1999M12","2000M01","2000M02","2000M03","2000M04","2000M05","2000M06","2000M07","2000M08","2000M09","2000M10","2000M11","2000M12","2001M01","2001M02","2001M03","2001M04","2001M05","2001M06","2001M07","2001M08","2001M09","2001M10","2001M11","2001M12","2002M01","2002M02","2002M03","2002M04","2002M05","2002M06","2002M07","2002M08","2002M09","2002M10","2002M11","2002M12","2003M01","2003M02","2003M03","2003M04","2003M05","2003M06","2003M07","2003M08","2003M09","2003M10","2003M11","2003M12","2004M01","2004M02","2004M03","2004M04","2004M05","2004M06","2004M07","2004M08","2004M09","2004M10","2004M11","2004M12","2005M01","2005M02","2005M03","2005M04","2005M05","2005M06","2005M07","2005M08","2005M09","2005M10","2005M11","2005M12","2006M01","2006M02","2006M03","2006M04","2006M05","2006M06","2006M07","2006M08","2006M09","2006M10","2006M11","2006M12","2007M01","2007M02","2007M03","2007M04","2007M05","2007M06","2007M07","2007M08","2007M09","2007M10","2007M11","2007M12","2008M01","2008M02","2008M03","2008M04","2008M05","2008M06","2008M07","2008M08","2008M09","2008M10","2008M11","2008M12","2009M01","2009M02","2009M03","2009M04","2009M05","2009M06","2009M07","2009M08","2009M09","2009M10","2009M11","2009M12","2010M01","2010M02","2010M03","2010M04","2010M05","2010M06","2010M07","2010M08","2010M09","2010M10","2010M11","2010M12","2011M01","2011M02","2011M03","2011M04","2011M05","2011M06","2011M07","2011M08","2011M09","2011M10","2011M11","2011M12","2012M01","2012M02","2012M03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EDIT 2: If you wish to extract some specific parts of the data, following @Gannon I tried:
x = json.loads(response.text)
print(x["value"])
This yields the error:
x = json.loads(response.text)
print(x["value"])
Traceback (most recent call last):
File "<ipython-input-71-bb6ad4c1b9c5>", line 1, in <module>
x = json.loads(response.text)
File "C:\Users\MyProfile\anaconda3\lib\json\__init__.py", line 357, in loads
return _default_decoder.decode(s)
File "C:\Users\MyProfile\anaconda3\lib\json\decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "C:\Users\MyProfile\anaconda3\lib\json\decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
JSONDecodeError: Expecting value