From b88db78b1e2885d51f3edd7084d5026b400daa35 Mon Sep 17 00:00:00 2001
From: Rasmus Luha <rasmus.luha@gmail.com>
Date: Wed, 16 Mar 2022 02:46:20 +0200
Subject: Players requests

---
 getData.py | 45 +++++++++++++++++++++++++++++++++++++++++----
 1 file changed, 41 insertions(+), 4 deletions(-)

diff --git a/getData.py b/getData.py
index 466ed45..db11dc3 100644
--- a/getData.py
+++ b/getData.py
@@ -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")
+    
+
+
+
+
+
-- 
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