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author | Rasmus Luha <rasmus.luha@gmail.com> | 2022-03-16 02:46:20 +0200 |
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committer | Rasmus Luha <rasmus.luha@gmail.com> | 2022-03-16 02:46:20 +0200 |
commit | b88db78b1e2885d51f3edd7084d5026b400daa35 (patch) | |
tree | 5ce4af67cb07da2eb2a4b14667b39dd08676b427 | |
parent | d834c529ae6c0c2d99888c23a37752e8de4fb127 (diff) |
Players requests
-rw-r--r-- | getData.py | 45 |
1 files changed, 41 insertions, 4 deletions
@@ -21,15 +21,15 @@ else: playersDir = "Data/Players" # Requesting data about NBA teams -url = "https://free-nba.p.rapidapi.com/teams" +url = "https://free-nba.p.rapidapi.com/" querystring = {"page":"0"} headers = { - 'x-rapidapi-host': "free-nba.p.rapidapi.com", - 'x-rapidapi-key': API_KEY + 'x-rapidapi-host': "free-nba.p.rapidapi.com", + 'x-rapidapi-key': API_KEY } # Adding data to teams file -response = requests.request("GET", url, headers=headers, params=querystring) +response = requests.request("GET", url+"teams", headers=headers, params=querystring) teamsDf = pd.DataFrame(response.json()["data"]) teamsDf.set_index("id") teamsDf = teamsDf.drop("id", axis=1) @@ -37,3 +37,40 @@ teamsDf = teamsDf.drop("id", axis=1) teamsDf.to_csv(teamsFile) ####################################################### +# Now requesting players for each team +# First request is made just to get the amount of pages that must be looped through + +querystring = {"per_page":"100","page":"0"} +response = requests.request("GET", url+"players", headers=headers, params=querystring) +pageCount = response.json()["meta"]["total_pages"] + + +for el in range(1, pageCount+1): + + # Requesting pages in loop till pageCount + querystring = {"per_page":"100","page":el} + response = requests.request("GET", url+"players", headers=headers, params=querystring) + data = response.json()["data"] + + for player in data: + teamName = player["team"]["full_name"] + playerDf = pd.DataFrame(columns=["first_name", "last_name", "position", "height_feet", "height_inches"]) + + playerSeries = pd.Series({"first_name" : player["first_name"], + "last_name" : player["last_name"], + "position" : player["position"], + "height_feet" : player["height_feet"], + "height_inches" : player["height_inches"]}) + + #add player to dataframe + playerDf.loc[len(playerDf)] = playerSeries + #add dataframe to File + playerDf.to_csv(playersDir+teamName, mode='a', index=False, header=False) + print("Page "+el+" read.") +print("All done, check Data Dir") + + + + + + |