API Web Scraping NBA Stats in Python | NBA Data Analytics Project (part 1/2)

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[scottgower]

This was awesome! I’ve been wanting to scrape sports data in a loop like this for a while. Thanks!

[tomkmb]

Thanks a lot for taking the time to make this video man, I'm a huge sports fan who's been self learning Python for the last 4 months or so. Just getting into looking at Jupyter, Numpy and Pandas, so these videos are a great resource for me. Why don't NBA stats want you scraping from them? I don't understand what the issue is, is it just that large numbers of requests put pressure on their servers? Will move on to part 2 now!

[phantasm]

They have an option to share the data which allows you to download it... no need to scrap 🎉

[orlandodeabreu]

Excellent video content and beautiful scrap data.

[derrickbecker]

Can you look at FT differential vs W/L and look at statistical significant correlations of this happening to large markets over small markets ?

[chels]

Great video, really easy to follow along.

[aalapdesai]

Is there a diff technique to get teams data because whenever I try this technique to get teams data the server connections get abot=rted without response
if there is any other way pls do tell me

[tanner]

Guys does anyone watching this actually have a winning sports betting model is it possible or are the casinos already on it

[msportslife]

Great video, thanks for the info! I was trying to recreate this but it seems like they've locked the page down quite a bit, any time I pull any of the URLs it just continuously loads and never renders. Any suggestions/tips to pull this data consistently?

[Fabo]

At 7:30 when you say that data used to be available but not anymore... is there really no way to get it? For example if I wanna pull team's offensive and defensive ratings (which has the same problem as those shooting stats), is the only way to get it is through scraping the hmtl source?

[ramfanintexas]

what exactly did you do to solve the final error? I got the same error. removed headers=headers but I'm still getting the same error.

[hahathatsucks]

how did you get your data extracted into Excel? I compress all seasons from 2012 - 2021 & then input "data =

[nishchay]

I am not able to scrape data. It crashes when fetching data for 2012-13 playoffs season. Can you help?

Traceback (most recent call last):
File "C:\ProgramData\Anaconda3\lib\site-packages\requests\models.py", line 971, in json
return complexjson.loads(self.text, **kwargs)
File "C:\ProgramData\Anaconda3\lib\json\__init__.py", line 346, in loads
return _default_decoder.decode(s)
File "C:\ProgramData\Anaconda3\lib\json\decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "C:\ProgramData\Anaconda3\lib\json\decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "C:\Users\Nishchay\AppData\Local\Temp\ipykernel_12448\3071084054.py", line 29, in <module>
r = requests.get(url = api_url).json()
File "C:\ProgramData\Anaconda3\lib\site-packages\requests\models.py", line 975, in json
raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
Expecting value: line 1 column 1 (char 0)