Merge pull request #17 from nprasad2077/docs_go

docs update

README.md

@@ -1,472 +1,281 @@
-# NBA Stats API 0.1 Beta
+# NBA Stats API 2.0
+
+## 🔎 View the Interactive API Documentation
+**[Interactive Swagger Documentation](https://api.server.nbaapi.com/swagger/index.html)** - Complete API reference with live testing capabilities
 
 ## Introduction
 
-This documentation provides the necessary information to use the NBA Stats API. These APIs provide access to NBA season and playoff totals, advanced statistics, shot chart data, and more.
+This documentation provides comprehensive information for using the NBA Stats API. The API offers access to NBA season and playoff statistics, including player totals, advanced metrics, and historical data. All statistics are cross-referenced with [basketball-reference.com](https://www.basketball-reference.com/) and [NBA.com](https://www.nba.com/stats).
+
+# NBA Player Statistics API
+
+This API provides endpoints to query NBA player statistics, including both "Totals" data and "Advanced" statistical data. Each endpoint supports filtering, sorting, and pagination options to help you retrieve exactly the data you need.
+
+## Base URL
+
+All API endpoints are served from:
+
+```
+https://api.server.nbaapi.com/
+```
+
+## Authentication
+
+No authentication is currently required for these endpoints.
+
+## Available Endpoints
+
+- **Player Advanced Stats** (`/api/playeradvancedstats`)
+  
+  Provides advanced player metrics including Player Efficiency Rating (PER), True Shooting Percentage (TS%), Usage Percentage, Win Shares, VORP, and other advanced analytics.
+
+- **Player Totals** (`/api/playertotals`)
+
+  Provides season-based totals such as points, assists, rebounds, games played, shooting percentages, and more traditional statistics.
 
 ---
 
-# [View API Documentation](https://documenter.getpostman.com/view/24232555/2s93shzpR3)
+## Common Query Parameters
+
+Both endpoints support the following query parameters:
+
+### Filtering Parameters
+- **season** *(integer, optional)*: Filter by a specific season (e.g., `2025`)
+- **team** *(string, optional)*: Filter by team abbreviation (e.g., `MIL`, `LAL`)
+- **playerId** *(string, optional)*: Filter by player's unique ID (e.g., `greenaj01`)
+- **isPlayoff** *(boolean, optional)*: Filter for playoff statistics (`true`) or regular season (`false`)
+
+### Pagination Parameters
+- **page** *(integer, optional)*: Page number to retrieve (default: `1`)
+- **pageSize** *(integer, optional)*: Number of records per page (default: `20`)
+
+### Sorting Parameters
+- **sortBy** *(string, optional)*: Field name to sort results by (see endpoint-specific options below)
+- **ascending** *(boolean, optional)*: Sort order - `true` for ascending, `false` for descending (default: `false`)
 
 ---
 
-### Base URL
+## Player Advanced Stats Endpoint
 
-All URLs referenced in this documentation use the following base URL:
+**GET** `/api/playeradvancedstats`
 
-> <https://nba-stats-db.herokuapp.com/>
+Retrieve advanced player statistics with comprehensive filtering and sorting options.
 
-### Endpoints
+### Sorting Options for Advanced Stats
 
-Top 20 Scorers by Season
+The `sortBy` parameter accepts the following values:
-Method: `Get`
+- `games` - Games played
+- `minutes_played` - Total minutes played
+- `ts_percent` - True Shooting Percentage
+- `total_rb_percent` - Total Rebound Percentage
+- `usage_percent` - Usage Percentage
+- `offensive_ws` - Offensive Win Shares
+- `defensive_ws` - Defensive Win Shares
+- `win_shares` - Total Win Shares (default)
+- `win_shares_per` - Win Shares per 48 minutes
+- `offensive_box` - Offensive Box Plus/Minus
+- `defensive_box` - Defensive Box Plus/Minus
+- `box` - Total Box Plus/Minus
+- `vorp` - Value Over Replacement Player
+- `season` - Season year
 
-> <https://nba-stats-db.herokuapp.com/api/playerdata/topscorers/total/season/2023/>
+### Example Request
-
-Success Response:
-
-`Code: 200`
-
-Content:
 
+```bash
+curl -X GET \
+  'https://api.server.nbaapi.com/api/playeradvancedstats?page=1&pageSize=20&sortBy=win_shares&ascending=false&season=2025&team=MIL' \
+  -H 'accept: application/json'
 ```
+
+### Response Format
+
+```json
 {
-    "count": 20,
+  "data": [
-    "next": null,
-    "previous": null,
-    "results": [
     {
-            "id": 40,
+      "id": 12345,
-            "player_name": "Jayson Tatum",
+      "playerName": "Giannis Antetokounmpo",
-            "age": 24,
+      "position": "PF",
-            "games": 74,
+      "age": 30,
-            "games_started": 74,
+      "games": 65,
-            "minutes_played": 2732,
+      "minutesPlayed": 2205,
-            "field_goals": 727,
+      "per": 31.2,
-            "field_attempts": 1559,
+      "tsPercent": 0.614,
-            "field_percent": "0.466",
+      "threePAR": 0.156,
-            "three_fg": 240,
+      "ftr": 0.345,
-            "three_attempts": 686,
+      "offensiveRBPercent": 11.2,
-            "three_percent": "0.350",
+      "defensiveRBPercent": 34.5,
-            "two_fg": 487,
+      "totalRBPercent": 22.8,
-            "two_attempts": 873,
+      "assistPercent": 40.1,
-            "two_percent": "0.558",
+      "stealPercent": 1.8,
-            "effect_fg_percent": "0.543",
+      "blockPercent": 3.2,
-            "ft": 531,
+      "turnoverPercent": 16.7,
-            "fta": 622,
+      "usagePercent": 36.8,
-            "ft_percent": "0.854",
+      "offensiveWS": 12.3,
-            "ORB": 78,
+      "defensiveWS": 4.7,
-            "DRB": 571,
+      "winShares": 17.0,
-            "TRB": 649,
+      "winSharesPer": 0.370,
-            "AST": 342,
+      "offensiveBox": 8.9,
-            "STL": 78,
+      "defensiveBox": 2.1,
-            "BLK": 51,
+      "box": 11.0,
-            "TOV": 213,
+      "vorp": 9.2,
-            "PF": 160,
+      "team": "MIL",
-            "PTS": 2225,
+      "season": 2025,
-            "team": "BOS",
+      "playerId": "antetgi01",
-            "season": 2023
+      "isPlayoff": false
-        },
+    }
-        {
+  ],
-            "id": 20,
+  "pagination": {
-            "player_name": "Joel Embiid",
+    "page": 1,
-            "age": 28,
+    "pageSize": 20,
-            "games": 66,
+    "total": 450,
-            "games_started": 66,
+    "pages": 23
-            "minutes_played": 2284,
+  }
-            "field_goals": 728,
-            "field_attempts": 1328,
-            "field_percent": "0.548",
-            "three_fg": 66,
-            "three_attempts": 200,
-            "three_percent": "0.330",
-            "two_fg": 662,
-            "two_attempts": 1128,
-            "two_percent": "0.587",
-            "effect_fg_percent": "0.573",
-            "ft": 661,
-            "fta": 771,
-            "ft_percent": "0.857",
-            "ORB": 113,
-            "DRB": 557,
-            "TRB": 670,
-            "AST": 274,
-            "STL": 66,
-            "BLK": 112,
-            "TOV": 226,
-            "PF": 205,
-            "PTS": 2183,
-            "team": "PHI",
-            "season": 2023
-        },
- ...
- ]
 }
-
 ```
 
-Top 20 Scorers in Playoffs
+---
-Method: `Get`
 
-> <https://nba-stats-db.herokuapp.com/api/playerdata/topscorers/playoffs/2022/>
+## Player Totals Endpoint
 
-Success Response:
+**GET** `/api/playertotals`
 
-`Code: 200`
+Retrieve traditional player statistics including points, assists, rebounds, and shooting data.
 
-Content:
+### Sorting Options for Player Totals
 
+The `sortBy` parameter accepts the following values:
+- `games` - Games played
+- `minutes_pg` - Minutes per game
+- `three_fg` - Three-point field goals made
+- `three_attempts` - Three-point field goal attempts
+- `two_fg` - Two-point field goals made
+- `effect_fg_percent` - Effective Field Goal Percentage
+- `ft` - Free throws made
+- `total_rb` - Total rebounds
+- `assists` - Assists
+- `steals` - Steals
+- `blocks` - Blocks
+- `points` - Points scored
+- `season` - Season year
+
+### Example Request
+
+```bash
+curl -X GET \
+  'https://api.server.nbaapi.com/api/playertotals?page=1&pageSize=20&sortBy=points&ascending=false&season=2025' \
+  -H 'accept: application/json'
 ```
+
+### Response Format
+
+```json
 {
-    "count": 20,
+  "data": [
-    "next": null,
-    "previous": null,
-    "results": [
     {
-            "id": 16,
+      "id": 67890,
-            "player_name": "Jayson Tatum",
+      "playerName": "Luka Doncic",
-            "age": 23,
+      "position": "PG",
-            "games": 24,
-            "games_started": 24,
-            "minutes_played": 983,
-            "field_goals": 201,
-            "field_attempts": 472,
-            "field_percent": "0.426",
-            "three_fg": 77,
-            "three_attempts": 196,
-            "three_percent": "0.393",
-            "two_fg": 124,
-            "two_attempts": 276,
-            "two_percent": "0.449",
-            "effect_fg_percent": "0.507",
-            "ft": 136,
-            "fta": 170,
-            "ft_percent": "0.800",
-            "ORB": 24,
-            "DRB": 137,
-            "TRB": 161,
-            "AST": 148,
-            "STL": 29,
-            "BLK": 21,
-            "TOV": 100,
-            "PF": 72,
-            "PTS": 615,
-            "team": "BOS",
-            "season": 2022
-        },
-        {
-            "id": 178,
-            "player_name": "Stephen Curry",
-            "age": 33,
-            "games": 22,
-            "games_started": 18,
-            "minutes_played": 764,
-            "field_goals": 202,
-            "field_attempts": 440,
-            "field_percent": "0.459",
-            "three_fg": 91,
-            "three_attempts": 229,
-            "three_percent": "0.397",
-            "two_fg": 111,
-            "two_attempts": 211,
-            "two_percent": "0.526",
-            "effect_fg_percent": "0.563",
-            "ft": 107,
-            "fta": 129,
-            "ft_percent": "0.829",
-            "ORB": 11,
-            "DRB": 104,
-            "TRB": 115,
-            "AST": 129,
-            "STL": 29,
-            "BLK": 8,
-            "TOV": 57,
-            "PF": 59,
-            "PTS": 602,
-            "team": "GSW",
-            "season": 2022
-        },
- ...
- ]
-}  
-
-```
-
-Top 20 Assists by Season
-Method: `Get`
-
-> <https://nba-stats-db.herokuapp.com/api/top_assists/totals/2023/>
-
-Success Response:
-
-`Code: 200`
-
-Content:
-
-```
-{
-    "count": 20,
-    "next": null,
-    "previous": null,
-    "results": [
-        {
-            "id": 529,
-            "player_name": "Trae Young",
-            "age": 24,
-            "games": 73,
-            "games_started": 73,
-            "minutes_played": 2541,
-            "field_goals": 597,
-            "field_attempts": 1390,
-            "field_percent": "0.429",
-            "three_fg": 154,
-            "three_attempts": 460,
-            "three_percent": "0.335",
-            "two_fg": 443,
-            "two_attempts": 930,
-            "two_percent": "0.476",
-            "effect_fg_percent": "0.485",
-            "ft": 566,
-            "fta": 639,
-            "ft_percent": "0.886",
-            "ORB": 56,
-            "DRB": 161,
-            "TRB": 217,
-            "AST": 741,
-            "STL": 80,
-            "BLK": 9,
-            "TOV": 300,
-            "PF": 104,
-            "PTS": 1914,
-            "team": "ATL",
-            "season": 2023
-        },
-        {
-            "id": 203,
-            "player_name": "Nikola Jokić",
-            "age": 27,
-            "games": 69,
-            "games_started": 69,
-            "minutes_played": 2323,
-            "field_goals": 646,
-            "field_attempts": 1022,
-            "field_percent": "0.632",
-            "three_fg": 57,
-            "three_attempts": 149,
-            "three_percent": "0.383",
-            "two_fg": 589,
-            "two_attempts": 873,
-            "two_percent": "0.675",
-            "effect_fg_percent": "0.660",
-            "ft": 341,
-            "fta": 415,
-            "ft_percent": "0.822",
-            "ORB": 167,
-            "DRB": 650,
-            "TRB": 817,
-            "AST": 678,
-            "STL": 87,
-            "BLK": 47,
-            "TOV": 247,
-            "PF": 174,
-            "PTS": 1690,
-            "team": "DEN",
-            "season": 2023
-        },
- ...
- ]
-}  
-
-```
-
-Top 20 Assists in Playoffs
-Method: `Get`
-
-> <https://nba-stats-db.herokuapp.com/api/top_assists/playoffs/2022/>
-
-Success Response:
-
-`Code: 200`
-
-Content:
-
-```
-{
-    "count": 20,
-    "next": null,
-    "previous": null,
-    "results": [
-        {
-            "id": 16,
-            "player_name": "Jayson Tatum",
-            "age": 23,
-            "games": 24,
-            "games_started": 24,
-            "minutes_played": 983,
-            "field_goals": 201,
-            "field_attempts": 472,
-            "field_percent": "0.426",
-            "three_fg": 77,
-            "three_attempts": 196,
-            "three_percent": "0.393",
-            "two_fg": 124,
-            "two_attempts": 276,
-            "two_percent": "0.449",
-            "effect_fg_percent": "0.507",
-            "ft": 136,
-            "fta": 170,
-            "ft_percent": "0.800",
-            "ORB": 24,
-            "DRB": 137,
-            "TRB": 161,
-            "AST": 148,
-            "STL": 29,
-            "BLK": 21,
-            "TOV": 100,
-            "PF": 72,
-            "PTS": 615,
-            "team": "BOS",
-            "season": 2022
-        },
-        {
-            "id": 179,
-            "player_name": "Draymond Green",
-            "age": 31,
-            "games": 22,
-            "games_started": 22,
-            "minutes_played": 703,
-            "field_goals": 69,
-            "field_attempts": 144,
-            "field_percent": "0.479",
-            "three_fg": 8,
-            "three_attempts": 39,
-            "three_percent": "0.205",
-            "two_fg": 61,
-            "two_attempts": 105,
-            "two_percent": "0.581",
-            "effect_fg_percent": "0.507",
-            "ft": 30,
-            "fta": 47,
-            "ft_percent": "0.638",
-            "ORB": 26,
-            "DRB": 133,
-            "TRB": 159,
-            "AST": 138,
-            "STL": 25,
-            "BLK": 22,
-            "TOV": 59,
-            "PF": 87,
-            "PTS": 176,
-            "team": "GSW",
-            "season": 2022
-        },
- ...
- ]
-}  
-
-```
-
-Top 20 Rebounders (Total Rebounds) by Season
-Method: `Get`
-
-> <https://nba-stats-db.herokuapp.com/api/top_rebounds/totals/2023/>
-
-Success Response:
-
-`Code: 200`
-
-Content:
-
-```
-{
-    "count": 20,
-    "next": null,
-    "previous": null,
-    "results": [
-        {
-            "id": 405,
-            "player_name": "Domantas Sabonis",
       "age": 26,
-            "games": 79,
+      "games": 70,
-            "games_started": 79,
+      "gamesStarted": 70,
-            "minutes_played": 2736,
+      "minutesPg": 36.2,
-            "field_goals": 577,
+      "fieldGoals": 11.2,
-            "field_attempts": 938,
+      "fieldAttempts": 23.1,
-            "field_percent": "0.615",
+      "fieldPercent": 0.485,
-            "three_fg": 31,
+      "threeFg": 4.1,
-            "three_attempts": 83,
+      "threeAttempts": 11.3,
-            "three_percent": "0.373",
+      "threePercent": 0.363,
-            "two_fg": 546,
+      "twoFg": 7.1,
-            "two_attempts": 855,
+      "twoAttempts": 11.8,
-            "two_percent": "0.639",
+      "twoPercent": 0.602,
-            "effect_fg_percent": "0.632",
+      "effectFgPercent": 0.574,
-            "ft": 325,
+      "ft": 7.8,
-            "fta": 438,
+      "ftAttempts": 9.2,
-            "ft_percent": "0.742",
+      "ftPercent": 0.848,
-            "ORB": 251,
+      "offensiveRb": 1.8,
-            "DRB": 722,
+      "defensiveRb": 7.4,
-            "TRB": 973,
+      "totalRb": 9.2,
-            "AST": 573,
+      "assists": 8.9,
-            "STL": 65,
+      "steals": 1.4,
-            "BLK": 39,
+      "blocks": 0.5,
-            "TOV": 230,
+      "turnovers": 4.1,
-            "PF": 279,
+      "personalFouls": 2.8,
-            "PTS": 1510,
+      "points": 34.3,
-            "team": "SAC",
+      "team": "DAL",
-            "season": 2023
+      "season": 2025,
-        },
+      "playerId": "doncilu01",
-        {
+      "isPlayoff": false
-            "id": 346,
+    }
-            "player_name": "Nikola Vučević",
+  ],
-            "age": 32,
+  "pagination": {
-            "games": 82,
+    "page": 1,
-            "games_started": 82,
+    "pageSize": 20,
-            "minutes_played": 2746,
+    "total": 500,
-            "field_goals": 597,
+    "pages": 25
-            "field_attempts": 1148,
+  }
-            "field_percent": "0.520",
-            "three_fg": 121,
-            "three_attempts": 347,
-            "three_percent": "0.349",
-            "two_fg": 476,
-            "two_attempts": 801,
-            "two_percent": "0.594",
-            "effect_fg_percent": "0.573",
-            "ft": 132,
-            "fta": 158,
-            "ft_percent": "0.835",
-            "ORB": 159,
-            "DRB": 744,
-            "TRB": 903,
-            "AST": 265,
-            "STL": 60,
-            "BLK": 57,
-            "TOV": 139,
-            "PF": 179,
-            "PTS": 1447,
-            "team": "CHI",
-            "season": 2023
-        },
- ...
- ]
 }
-
 ```
 
-## Plan
+---
 
-1. Data collection - Selenium - live data from dyanic websites. - Beautiful soap/scrapy - historical static data. - Live data - websocket connections or periodic updates.  
+## Response Codes
-   &nbsp;
 
-2. Backend API - Django (Python): A more comprehensive framework that includes an ORM and admin panel out-of-the-box. - Django REST Framework
+- **200 OK**: Request successful; returns requested data
-   &nbsp;
+- **400 Bad Request**: Invalid query parameters
+- **404 Not Found**: No matching records found
+- **500 Internal Server Error**: Server encountered an error
 
-3. Backend DB
+---
-   -Initially SQL lite, but it quickly met its limitations when trying to scrape data for 30 teams at once. It could not handle all the simulataneous connections.
 
-   - PostgreSQL is the new DB.
+## Usage Examples
 
-4. Frontend - React/Redux - D3.js - Chart.js - Highcharts - Websockets or Server-Sent Events
+### Get Top Win Shares Leaders (Advanced Stats)
-   &nbsp;
 
-5. Deployment
+```bash
+curl -X GET \
+  'https://api.server.nbaapi.com/api/playeradvancedstats?page=1&pageSize=10&sortBy=win_shares&ascending=false&season=2025' \
+  -H 'accept: application/json'
+```
+
+### Get Leading Scorers (Player Totals)
+
+```bash
+curl -X GET \
+  'https://api.server.nbaapi.com/api/playertotals?page=1&pageSize=10&sortBy=points&ascending=false&season=2025' \
+  -H 'accept: application/json'
+```
+
+### Get Boston Celtics Players Advanced Stats
+
+```bash
+curl -X GET \
+  'https://api.server.nbaapi.com/api/playeradvancedstats?team=BOS&season=2025&page=1&pageSize=20&sortBy=vorp&ascending=false' \
+  -H 'accept: application/json'
+```
+
+### Get Playoff Statistics
+
+```bash
+curl -X GET \
+  'https://api.server.nbaapi.com/api/playertotals?isPlayoff=true&season=2024&sortBy=points&ascending=false' \
+  -H 'accept: application/json'
+```
+
+---
+
+## Additional Resources
+
+- **Interactive Documentation**: [https://api.server.nbaapi.com/swagger/index.html](https://api.server.nbaapi.com/swagger/index.html)
+- **Postman Collection**: Use the "Run in Postman" button above
+- **Data Sources**: Statistics cross-referenced with Basketball Reference and NBA.com
+
+---
+
+## Contact & Support
+
+If you encounter any issues or have questions about the API, please open an issue in the repository or contact the development team. 🏀🚀
+
+---
+
+**Note**: This API is currently in public beta. Features and endpoints may be updated based on user feedback and requirements.

USAGE.md

@@ -1,5 +0,0 @@
-# Activate Python Shell
-
-```
-source venv/bin/activate
-```

nba_data/data.py

@@ -1 +0,0 @@
-teams_data = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOK', 'DAL', 'SAS', 'DEN', 'MIN', 'SEA', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']

nba_data/management/commands/delete_advanced_data.py

@@ -1,18 +0,0 @@
-from django.core.management.base import BaseCommand
-from nba_data.models import PlayerAdvancedData
-from django.db import connection
-
-class Command(BaseCommand):
-    # Provides a description for use with the custom django management command (python manage.py help).
-    help = 'Delete all player ADVANCED data with season specified and reset primary key sequence in DB' 
-    
-    def handle(self, *args, **options):
-        # Delete player data with season
-        season = 2006
-        PlayerAdvancedData.objects.filter(season=season).delete()
-        
-        # Reset the PK sequence
-        with connection.cursor() as cursor:
-            cursor.execute('ALTER SEQUENCE nba_data_playeradvanceddata_id_seq RESTART WITH 1;')
-        
-        self.stdout.write(self.style.SUCCESS('Successfully deleted all players with season = {} in DB'.format(season)))

nba_data/migrations/0018_alter_playeradvanceddata_ft_attempt_rate.py

@@ -1,18 +0,0 @@
-# Generated by Django 4.2 on 2023-09-20 07:36
-
-from django.db import migrations, models
-
-
-class Migration(migrations.Migration):
-
-    dependencies = [
-        ('nba_data', '0017_alter_playershotchartdata_result'),
-    ]
-
-    operations = [
-        migrations.AlterField(
-            model_name='playeradvanceddata',
-            name='ft_attempt_rate',
-            field=models.DecimalField(decimal_places=3, max_digits=8, null=True),
-        ),
-    ]

nba_data/models.py

@@ -79,7 +79,7 @@ class PlayerAdvancedData(models.Model):
     PER = models.DecimalField(max_digits=6, decimal_places=1, null=True)
     TS_percent = models.DecimalField(max_digits=5, decimal_places=3, null=True)
     three_p_attempt_rate = models.DecimalField(max_digits=5, decimal_places=3, null=True)
-    ft_attempt_rate = models.DecimalField(max_digits=8, decimal_places=3, null=True)
+    ft_attempt_rate = models.DecimalField(max_digits=5, decimal_places=3, null=True)
     orb_percent = models.DecimalField(max_digits=5, decimal_places=2, null=True)
     drb_percent = models.DecimalField(max_digits=5, decimal_places=2, null=True)
     trb_percent = models.DecimalField(max_digits=5, decimal_places=2, null=True)

nba_data/nba_scraper_advanced.py

@@ -6,7 +6,6 @@ from bs4 import BeautifulSoup
 import csv
 import json
 import time
-from data import teams_data
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
@@ -28,11 +27,10 @@ from nba_data.models import PlayerAdvancedData
 # Change MEM to VAN for 2001 and prior.
 # Change LAC to SDC for 1984 and prior.
 
-teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'SEA', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
-
 season = input('What season? ')
 
-for team in teams_data:
+for team in teams:
     url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
     response = requests.get(url_make)
 

nba_data/nba_scraper_playoffs_advanced.py

@@ -6,7 +6,6 @@ from bs4 import BeautifulSoup
 import csv
 import json
 import time
-from data import teams_data
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
@@ -30,11 +29,13 @@ from nba_data.models import PlayerPlayoffAdvancedData
 
 teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
 
+teams2 = ['HOU' ,'PHI', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+
+team_abbreviations = ['ATL', 'BOS', 'BRK', 'CHI', 'CHO', 'CLE', 'DAL', 'DEN', 'DET', 'GSW', 'HOU', 'IND', 'LAC', 'LAL', 'MEM', 'MIA', 'MIL', 'MIN', 'NOP', 'NYK', 'OKC', 'ORL', 'PHI', 'PHO', 'POR', 'SAC', 'SAS', 'TOR', 'UTA', 'WAS']
+
 season = input('What season? ')
 
-teams2 = 'PHI'
+for team in teams:
-
-for team in teams_data:
     url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
     response = requests.get(url_make)
 

nba_data/nba_scraper_playoffs_totals.py

@@ -6,7 +6,6 @@ from bs4 import BeautifulSoup
 import csv
 import json
 import time
-from data import teams_data
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
@@ -28,11 +27,14 @@ from nba_data.models import PlayerPlayoffTotalsData
 # Change LAC to SDC for 1984 and prior.
 
 
-teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'SEA', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+
+
+team_abbreviations = ['ATL', 'BOS', 'BRK', 'CHI', 'CHO', 'CLE', 'DAL', 'DEN', 'DET', 'GSW', 'HOU', 'IND', 'LAC', 'LAL', 'MEM', 'MIA', 'MIL', 'MIN', 'NOP', 'NYK', 'OKC', 'ORL', 'PHI', 'PHO', 'POR', 'SAC', 'SAS', 'TOR', 'UTA', 'WAS']
 
 season = input('What season? ')
 
-for team in teams_data:
+for team in teams:
     url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
     response = requests.get(url_make)
 

nba_data/nba_scraper_shot_chart.py

@@ -12,11 +12,10 @@ django.setup()
 
 from nba_data.models import PlayerShotChartData
 
-player_name = 'Damian Lillard'
+player_name = 'James Harden'
-season = 2013
+season = 2010
-
+# team = 'LAL'  # You might want to find a way to get this from the webpage
-# Player name and season will be inserted into DB. Modify before running script. 
+url = 'https://www.basketball-reference.com/players/h/hardeja01/shooting/' + \
-url = 'https://www.basketball-reference.com/players/l/lillada01/shooting/' + \
     str(season)
 
 response = requests.get(url)

nba_data/nba_scraper_totals.py

@@ -6,7 +6,6 @@ from bs4 import BeautifulSoup
 import csv
 import json
 import time
-from data import teams_data
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
@@ -27,14 +26,14 @@ from nba_data.models import PlayerTotalsData
 # Change MEM to VAN for 2001 and prior.
 # Change LAC to SDC for 1984 and prior.
 
-teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'SEA', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
 
 
 # team = input('What team? ') 
 #  OMIT above. Will now only ask for season and iterate thru teams list.
 season = input('What season? ')
 
-for team in teams_data:
+for team in teams:
     url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
     response = requests.get(url_make)