feat(02.1-03): create NWSL sport module with hardcoded stadiums
Create nwsl.py following the established sport module pattern: - 13 NWSL teams matching current 2025 season roster - All 13 stadiums with complete data (capacity, year_opened, coordinates) - Cross-referenced MLS coordinates for shared stadiums (10 shared with MLS) - 3 NWSL-specific stadiums: SeatGeek Stadium, CPKC Stadium, WakeMed Soccer Park Module exports: - NWSL_TEAMS dict - get_nwsl_team_abbrev() function - scrape_nwsl_stadiums_hardcoded() function - scrape_nwsl_stadiums() function with fallback system - NWSL_STADIUM_SOURCES configuration Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Trey t
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Scripts/nwsl.py
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Scripts/nwsl.py
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#!/usr/bin/env python3
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"""
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NWSL schedule and stadium scrapers for SportsTime.
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This module provides:
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- NWSL team mappings (13 teams)
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- NWSL stadium scrapers (hardcoded with coordinates)
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- Multi-source fallback configurations
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Note: Many NWSL teams share stadiums with MLS teams.
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Coordinates are cross-referenced from mls.py where applicable.
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"""
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from typing import Optional
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import requests
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# Support both direct execution and import from parent directory
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try:
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from core import (
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Game,
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Stadium,
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ScraperSource,
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StadiumScraperSource,
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fetch_page,
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scrape_with_fallback,
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scrape_stadiums_with_fallback,
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)
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except ImportError:
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from Scripts.core import (
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Game,
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Stadium,
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ScraperSource,
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StadiumScraperSource,
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fetch_page,
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scrape_with_fallback,
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scrape_stadiums_with_fallback,
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)
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__all__ = [
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# Team data
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'NWSL_TEAMS',
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# Stadium scrapers
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'scrape_nwsl_stadiums_hardcoded',
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'scrape_nwsl_stadiums',
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# Source configurations
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'NWSL_STADIUM_SOURCES',
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# Convenience functions
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'get_nwsl_team_abbrev',
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]
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# =============================================================================
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# TEAM MAPPINGS
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# =============================================================================
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NWSL_TEAMS = {
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'LA': {'name': 'Angel City FC', 'city': 'Los Angeles', 'stadium': 'BMO Stadium'},
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'SJ': {'name': 'Bay FC', 'city': 'San Jose', 'stadium': 'PayPal Park'},
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'CHI': {'name': 'Chicago Red Stars', 'city': 'Bridgeview', 'stadium': 'SeatGeek Stadium'},
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'HOU': {'name': 'Houston Dash', 'city': 'Houston', 'stadium': 'Shell Energy Stadium'},
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'KC': {'name': 'Kansas City Current', 'city': 'Kansas City', 'stadium': 'CPKC Stadium'},
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'NJ': {'name': 'NJ/NY Gotham FC', 'city': 'Harrison', 'stadium': 'Red Bull Arena'},
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'NC': {'name': 'North Carolina Courage', 'city': 'Cary', 'stadium': 'WakeMed Soccer Park'},
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'ORL': {'name': 'Orlando Pride', 'city': 'Orlando', 'stadium': 'Inter&Co Stadium'},
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'POR': {'name': 'Portland Thorns FC', 'city': 'Portland', 'stadium': 'Providence Park'},
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'SEA': {'name': 'Seattle Reign FC', 'city': 'Seattle', 'stadium': 'Lumen Field'},
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'SD': {'name': 'San Diego Wave FC', 'city': 'San Diego', 'stadium': 'Snapdragon Stadium'},
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'UTA': {'name': 'Utah Royals FC', 'city': 'Sandy', 'stadium': 'America First Field'},
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'WAS': {'name': 'Washington Spirit', 'city': 'Washington', 'stadium': 'Audi Field'},
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}
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def get_nwsl_team_abbrev(team_name: str) -> str:
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"""Get NWSL team abbreviation from full name."""
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for abbrev, info in NWSL_TEAMS.items():
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if info['name'].lower() == team_name.lower():
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return abbrev
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if team_name.lower() in info['name'].lower():
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return abbrev
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# Return first 3 letters as fallback
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return team_name[:3].upper()
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# =============================================================================
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# STADIUM SCRAPERS
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# =============================================================================
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def scrape_nwsl_stadiums_hardcoded() -> list[Stadium]:
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"""
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Source 1: Hardcoded NWSL stadiums with complete data.
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All 13 NWSL stadiums with capacity (NWSL configuration) and year_opened.
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Shared stadium coordinates are cross-referenced from MLS module:
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- BMO Stadium (shared with LAFC)
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- PayPal Park (shared with SJ Earthquakes)
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- Shell Energy Stadium (shared with Houston Dynamo)
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- Red Bull Arena (shared with NY Red Bulls)
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- Inter&Co Stadium (shared with Orlando City SC)
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- Providence Park (shared with Portland Timbers)
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- Lumen Field (shared with Seattle Sounders/Seahawks)
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- Snapdragon Stadium (shared with San Diego FC)
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- America First Field (shared with Real Salt Lake)
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- Audi Field (shared with DC United)
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"""
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nwsl_stadiums = {
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# Shared stadiums with MLS teams (coordinates from mls.py)
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'BMO Stadium': {
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'city': 'Los Angeles', 'state': 'CA',
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'lat': 34.0128, 'lng': -118.2841,
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'capacity': 22000, 'teams': ['LA'], 'year_opened': 2018
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},
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'PayPal Park': {
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'city': 'San Jose', 'state': 'CA',
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'lat': 37.3514, 'lng': -121.9250,
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'capacity': 18000, 'teams': ['SJ'], 'year_opened': 2015
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},
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'Shell Energy Stadium': {
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'city': 'Houston', 'state': 'TX',
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'lat': 29.7522, 'lng': -95.3524,
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'capacity': 22039, 'teams': ['HOU'], 'year_opened': 2012
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},
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'Red Bull Arena': {
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'city': 'Harrison', 'state': 'NJ',
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'lat': 40.7367, 'lng': -74.1503,
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'capacity': 25000, 'teams': ['NJ'], 'year_opened': 2010
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},
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'Inter&Co Stadium': {
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'city': 'Orlando', 'state': 'FL',
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'lat': 28.5411, 'lng': -81.3893,
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'capacity': 25500, 'teams': ['ORL'], 'year_opened': 2017
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},
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'Providence Park': {
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'city': 'Portland', 'state': 'OR',
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'lat': 45.5214, 'lng': -122.6917,
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'capacity': 25218, 'teams': ['POR'], 'year_opened': 1926
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},
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'Lumen Field': {
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'city': 'Seattle', 'state': 'WA',
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'lat': 47.5952, 'lng': -122.3316,
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'capacity': 37722, 'teams': ['SEA'], 'year_opened': 2002
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},
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'Snapdragon Stadium': {
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'city': 'San Diego', 'state': 'CA',
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'lat': 32.7844, 'lng': -117.1228,
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'capacity': 35000, 'teams': ['SD'], 'year_opened': 2022
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},
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'America First Field': {
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'city': 'Sandy', 'state': 'UT',
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'lat': 40.5829, 'lng': -111.8934,
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'capacity': 20213, 'teams': ['UTA'], 'year_opened': 2008
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},
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'Audi Field': {
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'city': 'Washington', 'state': 'DC',
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'lat': 38.8684, 'lng': -77.0129,
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'capacity': 20000, 'teams': ['WAS'], 'year_opened': 2018
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},
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# NWSL-specific stadiums
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'SeatGeek Stadium': {
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'city': 'Bridgeview', 'state': 'IL',
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'lat': 41.7653, 'lng': -87.8049,
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'capacity': 20000, 'teams': ['CHI'], 'year_opened': 2006
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},
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'CPKC Stadium': {
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'city': 'Kansas City', 'state': 'MO',
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'lat': 39.0975, 'lng': -94.5556,
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'capacity': 11500, 'teams': ['KC'], 'year_opened': 2024
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},
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'WakeMed Soccer Park': {
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'city': 'Cary', 'state': 'NC',
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'lat': 35.8018, 'lng': -78.7442,
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'capacity': 10000, 'teams': ['NC'], 'year_opened': 2002
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},
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}
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stadiums = []
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for name, info in nwsl_stadiums.items():
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# Create normalized ID (f-strings can't have backslashes)
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normalized_name = name.lower().replace(' ', '_').replace('&', 'and').replace('.', '').replace("'", '')
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stadium_id = f"nwsl_{normalized_name[:30]}"
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stadium = Stadium(
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id=stadium_id,
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name=name,
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city=info['city'],
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state=info['state'],
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latitude=info['lat'],
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longitude=info['lng'],
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capacity=info['capacity'],
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sport='NWSL',
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team_abbrevs=info['teams'],
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source='nwsl_hardcoded',
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year_opened=info.get('year_opened')
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)
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stadiums.append(stadium)
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return stadiums
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def scrape_nwsl_stadiums() -> list[Stadium]:
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"""
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Fetch NWSL stadium data with multi-source fallback.
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Hardcoded source is primary (has complete data).
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"""
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print("\nNWSL STADIUMS")
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print("-" * 40)
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sources = [
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StadiumScraperSource('Hardcoded', scrape_nwsl_stadiums_hardcoded, priority=1, min_venues=10),
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]
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return scrape_stadiums_with_fallback('NWSL', sources)
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# =============================================================================
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# SOURCE CONFIGURATIONS
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# =============================================================================
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NWSL_STADIUM_SOURCES = [
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StadiumScraperSource('Hardcoded', scrape_nwsl_stadiums_hardcoded, priority=1, min_venues=10),
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]
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