wip

Scripts/.claude/settings.local.json

@@ -7,7 +7,16 @@
       "Skill(superpowers:subagent-driven-development)",
       "Bash(git add:*)",
       "Bash(git commit:*)",
-      "WebSearch"
+      "WebSearch",
+      "Bash(wc:*)",
+      "Bash(find:*)",
+      "Skill(lead-designer)",
+      "Skill(frontend-design:frontend-design)",
+      "Bash(python3:*)",
+      "Bash(ls:*)",
+      "Bash(xargs basename:*)",
+      "Bash(python -m sportstime_parser:*)",
+      "Bash(python -m py_compile:*)"
     ]
   }
 }

Scripts/sportstime_parser/cli.py

@@ -221,11 +221,11 @@ def get_scraper(sport: str, season: int):
 
 
 def cmd_scrape(args: argparse.Namespace) -> int:
-    """Execute the scrape command."""
-    from .models.game import save_games
-    from .models.team import save_teams
-    from .models.stadium import save_stadiums
+    """Execute the scrape command with canonical output format."""
+    import json
     from .validators.report import generate_report, validate_games
+    from .normalizers.timezone import get_stadium_timezone
+    from .validators.schema import SchemaValidationError, validate_batch
 
     logger = get_logger()
 
@@ -282,14 +282,60 @@ def cmd_scrape(args: argparse.Namespace) -> int:
             logger.info(f"Review items: {report.summary.review_count}")
 
             if not args.dry_run:
-                # Save output files
+                # Build mappings for canonical conversion
+                stadium_timezone_map: dict[str, str] = {}
+                for stadium in result.stadiums:
+                    tz = get_stadium_timezone(stadium.state, stadium.timezone)
+                    stadium_timezone_map[stadium.id] = tz
+
+                stadium_team_abbrevs: dict[str, list[str]] = {}
+                for team in result.teams:
+                    if team.stadium_id:
+                        if team.stadium_id not in stadium_team_abbrevs:
+                            stadium_team_abbrevs[team.stadium_id] = []
+                        stadium_team_abbrevs[team.stadium_id].append(team.abbreviation)
+
+                # Convert to canonical format
+                canonical_stadiums = [
+                    s.to_canonical_dict(primary_team_abbrevs=stadium_team_abbrevs.get(s.id, []))
+                    for s in result.stadiums
+                ]
+                canonical_teams = [t.to_canonical_dict() for t in result.teams]
+                canonical_games = [
+                    g.to_canonical_dict(stadium_timezone=stadium_timezone_map.get(g.stadium_id, "America/New_York"))
+                    for g in result.games
+                ]
+
+                # Validate canonical output
+                stadium_errors = validate_batch(canonical_stadiums, "stadium", fail_fast=False)
+                team_errors = validate_batch(canonical_teams, "team", fail_fast=False)
+                game_errors = validate_batch(canonical_games, "game", fail_fast=False)
+
+                if stadium_errors or team_errors or game_errors:
+                    for idx, errors in stadium_errors:
+                        for e in errors:
+                            logger.error(f"Stadium {result.stadiums[idx].id}: {e}")
+                    for idx, errors in team_errors:
+                        for e in errors:
+                            logger.error(f"Team {result.teams[idx].id}: {e}")
+                    for idx, errors in game_errors[:10]:
+                        for e in errors:
+                            logger.error(f"Game {result.games[idx].id}: {e}")
+                    if len(game_errors) > 10:
+                        logger.error(f"... and {len(game_errors) - 10} more game errors")
+                    raise SchemaValidationError("canonical", ["Schema validation failed"])
+
+                # Save canonical output files
                 games_file = OUTPUT_DIR / f"games_{sport}_{args.season}.json"
                 teams_file = OUTPUT_DIR / f"teams_{sport}.json"
                 stadiums_file = OUTPUT_DIR / f"stadiums_{sport}.json"
 
-                save_games(result.games, str(games_file))
-                save_teams(result.teams, str(teams_file))
-                save_stadiums(result.stadiums, str(stadiums_file))
+                with open(games_file, "w", encoding="utf-8") as f:
+                    json.dump(canonical_games, f, indent=2)
+                with open(teams_file, "w", encoding="utf-8") as f:
+                    json.dump(canonical_teams, f, indent=2)
+                with open(stadiums_file, "w", encoding="utf-8") as f:
+                    json.dump(canonical_stadiums, f, indent=2)
 
                 # Save validation report
                 report_path = report.save()
@@ -307,6 +353,11 @@ def cmd_scrape(args: argparse.Namespace) -> int:
             failure_count += 1
             continue
 
+        except SchemaValidationError as e:
+            log_failure(f"{sport.upper()}: {e}")
+            failure_count += 1
+            continue
+
         except Exception as e:
             log_failure(f"{sport.upper()}: {e}")
             logger.exception("Scraping failed")

Scripts/sportstime_parser/models/game.py

@@ -3,6 +3,7 @@
 from dataclasses import dataclass, field
 from datetime import datetime
 from typing import Optional
+from zoneinfo import ZoneInfo
 import json
 
 
@@ -64,9 +65,53 @@ class Game:
             "raw_stadium": self.raw_stadium,
         }
 
+    def to_canonical_dict(
+        self,
+        stadium_timezone: str,
+        is_playoff: bool = False,
+        broadcast: Optional[str] = None,
+    ) -> dict:
+        """Convert to canonical dictionary format matching iOS app schema.
+
+        Args:
+            stadium_timezone: IANA timezone of the stadium (e.g., 'America/Chicago')
+            is_playoff: Whether this is a playoff game
+            broadcast: Broadcast network info (e.g., 'ESPN')
+
+        Returns:
+            Dictionary with field names matching JSONCanonicalGame in BootstrapService.swift
+        """
+        # Convert game_date to UTC
+        if self.game_date.tzinfo is None:
+            # Localize naive datetime to stadium timezone first
+            local_tz = ZoneInfo(stadium_timezone)
+            local_dt = self.game_date.replace(tzinfo=local_tz)
+        else:
+            local_dt = self.game_date
+
+        utc_dt = local_dt.astimezone(ZoneInfo("UTC"))
+
+        # Format season as string (e.g., 2025 -> "2025-26" for NBA/NHL, "2025" for MLB)
+        if self.sport in ("nba", "nhl"):
+            season_str = f"{self.season}-{str(self.season + 1)[-2:]}"
+        else:
+            season_str = str(self.season)
+
+        return {
+            "canonical_id": self.id,
+            "sport": self.sport,
+            "season": season_str,
+            "game_datetime_utc": utc_dt.strftime("%Y-%m-%dT%H:%M:%SZ"),
+            "home_team_canonical_id": self.home_team_id,
+            "away_team_canonical_id": self.away_team_id,
+            "stadium_canonical_id": self.stadium_id,
+            "is_playoff": is_playoff,
+            "broadcast": broadcast,
+        }
+
     @classmethod
     def from_dict(cls, data: dict) -> "Game":
-        """Create a Game from a dictionary."""
+        """Create a Game from a dictionary (internal format)."""
         game_date = data["game_date"]
         if isinstance(game_date, str):
             game_date = datetime.fromisoformat(game_date)
@@ -89,6 +134,26 @@ class Game:
             raw_stadium=data.get("raw_stadium"),
         )
 
+    @classmethod
+    def from_canonical_dict(cls, data: dict) -> "Game":
+        """Create a Game from a canonical dictionary (iOS app format)."""
+        game_date = datetime.fromisoformat(data["game_datetime_utc"])
+
+        # Parse season string (e.g., "2025-26" -> 2025, or "2025" -> 2025)
+        season_str = data["season"]
+        season = int(season_str.split("-")[0])
+
+        return cls(
+            id=data["canonical_id"],
+            sport=data["sport"],
+            season=season,
+            home_team_id=data["home_team_canonical_id"],
+            away_team_id=data["away_team_canonical_id"],
+            stadium_id=data["stadium_canonical_id"],
+            game_date=game_date,
+            status="scheduled",
+        )
+
     def to_json(self) -> str:
         """Serialize to JSON string."""
         return json.dumps(self.to_dict(), indent=2)
@@ -106,7 +171,10 @@ def save_games(games: list[Game], filepath: str) -> None:
 
 
 def load_games(filepath: str) -> list[Game]:
-    """Load a list of games from a JSON file."""
+    """Load a list of games from a JSON file (auto-detects format)."""
     with open(filepath, "r", encoding="utf-8") as f:
         data = json.load(f)
+    # Detect format: canonical has "canonical_id" and "game_datetime_utc", internal has "id"
+    if data and "canonical_id" in data[0] and "game_datetime_utc" in data[0]:
+        return [Game.from_canonical_dict(d) for d in data]
     return [Game.from_dict(d) for d in data]

Scripts/sportstime_parser/models/stadium.py

@@ -60,9 +60,32 @@ class Stadium:
             "timezone": self.timezone,
         }
 
+    def to_canonical_dict(self, primary_team_abbrevs: list[str] | None = None) -> dict:
+        """Convert to canonical dictionary format matching iOS app schema.
+
+        Args:
+            primary_team_abbrevs: List of team abbreviations that play at this stadium.
+                                  If None, defaults to empty list.
+
+        Returns:
+            Dictionary with field names matching JSONCanonicalStadium in BootstrapService.swift
+        """
+        return {
+            "canonical_id": self.id,
+            "name": self.name,
+            "city": self.city,
+            "state": self.state,
+            "latitude": self.latitude,
+            "longitude": self.longitude,
+            "capacity": self.capacity if self.capacity is not None else 0,
+            "sport": self.sport,
+            "primary_team_abbrevs": primary_team_abbrevs or [],
+            "year_opened": self.opened_year,
+        }
+
     @classmethod
     def from_dict(cls, data: dict) -> "Stadium":
-        """Create a Stadium from a dictionary."""
+        """Create a Stadium from a dictionary (internal format)."""
         return cls(
             id=data["id"],
             sport=data["sport"],
@@ -80,6 +103,22 @@ class Stadium:
             timezone=data.get("timezone"),
         )
 
+    @classmethod
+    def from_canonical_dict(cls, data: dict) -> "Stadium":
+        """Create a Stadium from a canonical dictionary (iOS app format)."""
+        return cls(
+            id=data["canonical_id"],
+            sport=data["sport"],
+            name=data["name"],
+            city=data["city"],
+            state=data["state"],
+            country="USA",  # Canonical format doesn't include country
+            latitude=data["latitude"],
+            longitude=data["longitude"],
+            capacity=data.get("capacity"),
+            opened_year=data.get("year_opened"),
+        )
+
     def to_json(self) -> str:
         """Serialize to JSON string."""
         return json.dumps(self.to_dict(), indent=2)
@@ -102,7 +141,10 @@ def save_stadiums(stadiums: list[Stadium], filepath: str) -> None:
 
 
 def load_stadiums(filepath: str) -> list[Stadium]:
-    """Load a list of stadiums from a JSON file."""
+    """Load a list of stadiums from a JSON file (auto-detects format)."""
     with open(filepath, "r", encoding="utf-8") as f:
         data = json.load(f)
+    # Detect format: canonical has "canonical_id", internal has "id"
+    if data and "canonical_id" in data[0]:
+        return [Stadium.from_canonical_dict(d) for d in data]
     return [Stadium.from_dict(d) for d in data]

Scripts/sportstime_parser/models/team.py

@@ -54,9 +54,28 @@ class Team:
             "stadium_id": self.stadium_id,
         }
 
+    def to_canonical_dict(self) -> dict:
+        """Convert to canonical dictionary format matching iOS app schema.
+
+        Returns:
+            Dictionary with field names matching JSONCanonicalTeam in BootstrapService.swift
+        """
+        return {
+            "canonical_id": self.id,
+            "name": self.name,
+            "abbreviation": self.abbreviation,
+            "sport": self.sport,
+            "city": self.city,
+            "stadium_canonical_id": self.stadium_id or "",
+            "conference_id": self.conference,
+            "division_id": self.division,
+            "primary_color": self.primary_color,
+            "secondary_color": self.secondary_color,
+        }
+
     @classmethod
     def from_dict(cls, data: dict) -> "Team":
-        """Create a Team from a dictionary."""
+        """Create a Team from a dictionary (internal format)."""
         return cls(
             id=data["id"],
             sport=data["sport"],
@@ -72,6 +91,23 @@ class Team:
             stadium_id=data.get("stadium_id"),
         )
 
+    @classmethod
+    def from_canonical_dict(cls, data: dict) -> "Team":
+        """Create a Team from a canonical dictionary (iOS app format)."""
+        return cls(
+            id=data["canonical_id"],
+            sport=data["sport"],
+            city=data["city"],
+            name=data["name"],
+            full_name=f"{data['city']} {data['name']}",  # Reconstruct full_name
+            abbreviation=data["abbreviation"],
+            conference=data.get("conference_id"),
+            division=data.get("division_id"),
+            primary_color=data.get("primary_color"),
+            secondary_color=data.get("secondary_color"),
+            stadium_id=data.get("stadium_canonical_id"),
+        )
+
     def to_json(self) -> str:
         """Serialize to JSON string."""
         return json.dumps(self.to_dict(), indent=2)
@@ -89,7 +125,10 @@ def save_teams(teams: list[Team], filepath: str) -> None:
 
 
 def load_teams(filepath: str) -> list[Team]:
-    """Load a list of teams from a JSON file."""
+    """Load a list of teams from a JSON file (auto-detects format)."""
     with open(filepath, "r", encoding="utf-8") as f:
         data = json.load(f)
+    # Detect format: canonical has "canonical_id", internal has "id"
+    if data and "canonical_id" in data[0]:
+        return [Team.from_canonical_dict(d) for d in data]
     return [Team.from_dict(d) for d in data]

Scripts/sportstime_parser/normalizers/stadium_resolver.py

@@ -240,6 +240,13 @@ STADIUM_MAPPINGS: dict[str, dict[str, StadiumInfo]] = {
         "stadium_nwsl_america_first_field": StadiumInfo("stadium_nwsl_america_first_field", "America First Field", "Sandy", "UT", "USA", "nwsl", 40.5830, -111.8933),
         "stadium_nwsl_audi_field": StadiumInfo("stadium_nwsl_audi_field", "Audi Field", "Washington", "DC", "USA", "nwsl", 38.8687, -77.0128),
         "stadium_nwsl_paypal_park": StadiumInfo("stadium_nwsl_paypal_park", "PayPal Park", "San Jose", "CA", "USA", "nwsl", 37.3511, -121.9250),
+        # Boston Legacy FC venues
+        "stadium_nwsl_gillette_stadium": StadiumInfo("stadium_nwsl_gillette_stadium", "Gillette Stadium", "Foxborough", "MA", "USA", "nwsl", 42.0909, -71.2643),
+        "stadium_nwsl_centreville_bank_stadium": StadiumInfo("stadium_nwsl_centreville_bank_stadium", "Centreville Bank Stadium", "Pawtucket", "RI", "USA", "nwsl", 41.8770, -71.3910),
+        # Denver Summit FC venues
+        "stadium_nwsl_empower_field": StadiumInfo("stadium_nwsl_empower_field", "Empower Field at Mile High", "Denver", "CO", "USA", "nwsl", 39.7439, -105.0201, "America/Denver"),
+        "stadium_nwsl_dicks_sporting_goods_park": StadiumInfo("stadium_nwsl_dicks_sporting_goods_park", "Dick's Sporting Goods Park", "Commerce City", "CO", "USA", "nwsl", 39.8056, -104.8922, "America/Denver"),
+        "stadium_nwsl_centennial_stadium": StadiumInfo("stadium_nwsl_centennial_stadium", "Centennial Stadium", "Centennial", "CO", "USA", "nwsl", 39.6000, -104.8800, "America/Denver"),
     },
 }
 

Scripts/sportstime_parser/normalizers/team_resolver.py

@@ -265,6 +265,8 @@ TEAM_MAPPINGS: dict[str, dict[str, tuple[str, str, str]]] = {
         "SLC": ("team_nwsl_slc", "Utah Royals", "Utah"),
         "WAS": ("team_nwsl_was", "Washington Spirit", "Washington"),
         "BFC": ("team_nwsl_bfc", "Bay FC", "San Francisco"),
+        "BOS": ("team_nwsl_bos", "Boston Legacy FC", "Boston"),
+        "DEN": ("team_nwsl_den", "Denver Summit FC", "Denver"),
     },
 }
 

Scripts/sportstime_parser/scrapers/base.py

@@ -185,9 +185,12 @@ class BaseScraper(ABC):
         """
         sources = self._get_sources()
         last_error: Optional[str] = None
+        sources_tried = 0
+        max_sources_to_try = 2  # Don't try all sources if first few return nothing
 
         for source in sources:
             self._logger.info(f"Trying source: {source}")
+            sources_tried += 1
 
             try:
                 # Scrape raw data
@@ -195,6 +198,12 @@ class BaseScraper(ABC):
 
                 if not raw_games:
                     log_warning(f"No games found from {source}")
+                    # If multiple sources return nothing, the schedule likely doesn't exist
+                    if sources_tried >= max_sources_to_try:
+                        return ScrapeResult(
+                            success=False,
+                            error_message=f"No schedule data available (tried {sources_tried} sources)",
+                        )
                     continue
 
                 self._logger.info(f"Found {len(raw_games)} raw games from {source}")
@@ -216,7 +225,9 @@ class BaseScraper(ABC):
             except Exception as e:
                 last_error = str(e)
                 log_error(f"Failed to scrape from {source}: {e}", exc_info=True)
-                # Discard partial data and try next source
+                # If we've tried enough sources, bail out
+                if sources_tried >= max_sources_to_try:
+                    break
                 continue
 
         # All sources failed

Scripts/sportstime_parser/scrapers/mlb.py

@@ -1,6 +1,6 @@
 """MLB scraper implementation with multi-source fallback."""
 
-from datetime import datetime, date
+from datetime import datetime, date, timedelta
 from typing import Optional
 from bs4 import BeautifulSoup
 
@@ -45,7 +45,10 @@ class MLBScraper(BaseScraper):
 
     def _get_sources(self) -> list[str]:
         """Return source list in priority order."""
-        return ["baseball_reference", "mlb_api", "espn"]
+        # MLB API is best - returns full schedule in one request
+        # ESPN caps at ~25 results for baseball
+        # Baseball-Reference requires HTML parsing
+        return ["mlb_api", "espn", "baseball_reference"]
 
     def _get_source_url(self, source: str, **kwargs) -> str:
         """Build URL for a source."""
@@ -215,43 +218,29 @@ class MLBScraper(BaseScraper):
         )
 
     def _scrape_mlb_api(self) -> list[RawGameData]:
-        """Scrape games from MLB Stats API.
+        """Scrape games from MLB Stats API using full season query."""
+        # Build date range for entire season (March-November)
+        season_months = self._get_season_months()
+        start_year, start_month = season_months[0]
+        end_year, end_month = season_months[-1]
 
-        MLB API allows date range queries.
-        """
-        all_games: list[RawGameData] = []
+        # Get last day of end month
+        if end_month == 12:
+            end_date = date(end_year + 1, 1, 1) - timedelta(days=1)
+        else:
+            end_date = date(end_year, end_month + 1, 1) - timedelta(days=1)
 
-        # Query by month to avoid hitting API limits
-        for year, month in self._get_season_months():
-            start_date = date(year, month, 1)
+        start_date = date(start_year, start_month, 1)
 
-            # Get last day of month
-            if month == 12:
-                end_date = date(year + 1, 1, 1)
-            else:
-                end_date = date(year, month + 1, 1)
+        url = f"https://statsapi.mlb.com/api/v1/schedule?sportId=1&startDate={start_date.strftime('%Y-%m-%d')}&endDate={end_date.strftime('%Y-%m-%d')}"
+        self._logger.info(f"Fetching MLB schedule: {start_date} to {end_date}")
 
-            # Adjust end date to last day of month
-            from datetime import timedelta
-            end_date = end_date - timedelta(days=1)
-
-            url = self._get_source_url(
-                "mlb_api",
-                start_date=start_date.strftime("%Y-%m-%d"),
-                end_date=end_date.strftime("%Y-%m-%d"),
-            )
-
-            try:
-                data = self.session.get_json(url)
-                games = self._parse_mlb_api_response(data, url)
-                all_games.extend(games)
-                self._logger.debug(f"Found {len(games)} games in {year}-{month:02d}")
-
-            except Exception as e:
-                self._logger.debug(f"MLB API error for {year}-{month}: {e}")
-                continue
-
-        return all_games
+        try:
+            data = self.session.get_json(url)
+            return self._parse_mlb_api_response(data, url)
+        except Exception as e:
+            self._logger.error(f"MLB API error: {e}")
+            return []
 
     def _parse_mlb_api_response(
         self,
@@ -345,33 +334,30 @@ class MLBScraper(BaseScraper):
         )
 
     def _scrape_espn(self) -> list[RawGameData]:
-        """Scrape games from ESPN API."""
-        all_games: list[RawGameData] = []
+        """Scrape games from ESPN API using date range query."""
+        # Build date range for entire season (March-November)
+        season_months = self._get_season_months()
+        start_year, start_month = season_months[0]
+        end_year, end_month = season_months[-1]
 
-        for year, month in self._get_season_months():
-            # Get number of days in month
-            if month == 12:
-                next_month = date(year + 1, 1, 1)
-            else:
-                next_month = date(year, month + 1, 1)
+        # Get last day of end month
+        if end_month == 12:
+            end_date = date(end_year + 1, 1, 1) - timedelta(days=1)
+        else:
+            end_date = date(end_year, end_month + 1, 1) - timedelta(days=1)
 
-            days_in_month = (next_month - date(year, month, 1)).days
+        start_date = date(start_year, start_month, 1)
+        date_range = f"{start_date.strftime('%Y%m%d')}-{end_date.strftime('%Y%m%d')}"
 
-            for day in range(1, days_in_month + 1):
-                try:
-                    game_date = date(year, month, day)
-                    date_str = game_date.strftime("%Y%m%d")
-                    url = self._get_source_url("espn", date=date_str)
+        url = f"https://site.api.espn.com/apis/site/v2/sports/baseball/mlb/scoreboard?limit=3000&dates={date_range}"
+        self._logger.info(f"Fetching MLB schedule: {date_range}")
 
-                    data = self.session.get_json(url)
-                    games = self._parse_espn_response(data, url)
-                    all_games.extend(games)
-
-                except Exception as e:
-                    self._logger.debug(f"ESPN error for {year}-{month}-{day}: {e}")
-                    continue
-
-        return all_games
+        try:
+            data = self.session.get_json(url)
+            return self._parse_espn_response(data, url)
+        except Exception as e:
+            self._logger.error(f"ESPN error: {e}")
+            return []
 
     def _parse_espn_response(
         self,

Scripts/sportstime_parser/scrapers/mls.py

@@ -1,6 +1,6 @@
 """MLS scraper implementation with multi-source fallback."""
 
-from datetime import datetime, date
+from datetime import datetime, date, timedelta
 from typing import Optional
 
 from .base import BaseScraper, RawGameData, ScrapeResult
@@ -78,33 +78,30 @@ class MLSScraper(BaseScraper):
             raise ValueError(f"Unknown source: {source}")
 
     def _scrape_espn(self) -> list[RawGameData]:
-        """Scrape games from ESPN API."""
-        all_games: list[RawGameData] = []
+        """Scrape games from ESPN API using date range query."""
+        # Build date range for entire season (Feb-November)
+        season_months = self._get_season_months()
+        start_year, start_month = season_months[0]
+        end_year, end_month = season_months[-1]
 
-        for year, month in self._get_season_months():
-            # Get number of days in month
-            if month == 12:
-                next_month = date(year + 1, 1, 1)
-            else:
-                next_month = date(year, month + 1, 1)
+        # Get last day of end month
+        if end_month == 12:
+            end_date = date(end_year + 1, 1, 1) - timedelta(days=1)
+        else:
+            end_date = date(end_year, end_month + 1, 1) - timedelta(days=1)
 
-            days_in_month = (next_month - date(year, month, 1)).days
+        start_date = date(start_year, start_month, 1)
+        date_range = f"{start_date.strftime('%Y%m%d')}-{end_date.strftime('%Y%m%d')}"
 
-            for day in range(1, days_in_month + 1):
-                try:
-                    game_date = date(year, month, day)
-                    date_str = game_date.strftime("%Y%m%d")
-                    url = self._get_source_url("espn", date=date_str)
+        url = f"https://site.api.espn.com/apis/site/v2/sports/soccer/usa.1/scoreboard?limit=1000&dates={date_range}"
+        self._logger.info(f"Fetching MLS schedule: {date_range}")
 
-                    data = self.session.get_json(url)
-                    games = self._parse_espn_response(data, url)
-                    all_games.extend(games)
-
-                except Exception as e:
-                    self._logger.debug(f"ESPN error for {year}-{month}-{day}: {e}")
-                    continue
-
-        return all_games
+        try:
+            data = self.session.get_json(url)
+            return self._parse_espn_response(data, url)
+        except Exception as e:
+            self._logger.error(f"ESPN error: {e}")
+            return []
 
     def _parse_espn_response(
         self,

Scripts/sportstime_parser/scrapers/nba.py

@@ -95,9 +95,11 @@ class NBAScraper(BaseScraper):
         BR organizes games by month with separate pages.
         Format: https://www.basketball-reference.com/leagues/NBA_YYYY_games-month.html
         where YYYY is the ending year of the season.
+        Bails early if first few months have no data (season doesn't exist).
         """
         all_games: list[RawGameData] = []
         end_year = self.season + 1
+        consecutive_empty_months = 0
 
         for month in BR_MONTHS:
             url = self._get_source_url("basketball_reference", month=month, year=end_year)
@@ -105,13 +107,23 @@ class NBAScraper(BaseScraper):
             try:
                 html = self.session.get_html(url)
                 games = self._parse_basketball_reference(html, url)
-                all_games.extend(games)
-                self._logger.debug(f"Found {len(games)} games in {month}")
+
+                if games:
+                    all_games.extend(games)
+                    consecutive_empty_months = 0
+                    self._logger.debug(f"Found {len(games)} games in {month}")
+                else:
+                    consecutive_empty_months += 1
 
             except Exception as e:
                 # Some months may not exist (e.g., no games in August)
                 self._logger.debug(f"No data for {month}: {e}")
-                continue
+                consecutive_empty_months += 1
+
+            # If first 3 months (Oct, Nov, Dec) all have no data, season doesn't exist
+            if consecutive_empty_months >= 3 and not all_games:
+                self._logger.info(f"No games found in first {consecutive_empty_months} months, season likely doesn't exist")
+                break
 
         return all_games
 
@@ -247,8 +259,11 @@ class NBAScraper(BaseScraper):
 
         ESPN API returns games for a specific date range.
         We iterate through each day of the season.
+        Bails out early if no games found after checking first month.
         """
         all_games: list[RawGameData] = []
+        consecutive_empty_days = 0
+        max_empty_days = 45  # Bail after ~1.5 months of no games
 
         for year, month in self._get_season_months():
             # Get number of days in month
@@ -267,10 +282,25 @@ class NBAScraper(BaseScraper):
 
                     data = self.session.get_json(url)
                     games = self._parse_espn_response(data, url)
-                    all_games.extend(games)
+
+                    if games:
+                        all_games.extend(games)
+                        consecutive_empty_days = 0
+                    else:
+                        consecutive_empty_days += 1
+
+                    # Bail early if no games found for a long stretch
+                    if consecutive_empty_days >= max_empty_days:
+                        self._logger.info(f"No games found for {max_empty_days} consecutive days, stopping ESPN scrape")
+                        return all_games
 
                 except Exception as e:
                     self._logger.debug(f"ESPN error for {year}-{month}-{day}: {e}")
+                    consecutive_empty_days += 1
+
+                    if consecutive_empty_days >= max_empty_days:
+                        self._logger.info(f"Too many consecutive failures, stopping ESPN scrape")
+                        return all_games
                     continue
 
         return all_games

Scripts/sportstime_parser/scrapers/nwsl.py

@@ -1,6 +1,6 @@
 """NWSL scraper implementation with multi-source fallback."""
 
-from datetime import datetime, date
+from datetime import datetime, date, timedelta
 from typing import Optional
 
 from .base import BaseScraper, RawGameData, ScrapeResult
@@ -73,33 +73,30 @@ class NWSLScraper(BaseScraper):
             raise ValueError(f"Unknown source: {source}")
 
     def _scrape_espn(self) -> list[RawGameData]:
-        """Scrape games from ESPN API."""
-        all_games: list[RawGameData] = []
+        """Scrape games from ESPN API using date range query."""
+        # Build date range for entire season (March-November)
+        season_months = self._get_season_months()
+        start_year, start_month = season_months[0]
+        end_year, end_month = season_months[-1]
 
-        for year, month in self._get_season_months():
-            # Get number of days in month
-            if month == 12:
-                next_month = date(year + 1, 1, 1)
-            else:
-                next_month = date(year, month + 1, 1)
+        # Get last day of end month
+        if end_month == 12:
+            end_date = date(end_year + 1, 1, 1) - timedelta(days=1)
+        else:
+            end_date = date(end_year, end_month + 1, 1) - timedelta(days=1)
 
-            days_in_month = (next_month - date(year, month, 1)).days
+        start_date = date(start_year, start_month, 1)
+        date_range = f"{start_date.strftime('%Y%m%d')}-{end_date.strftime('%Y%m%d')}"
 
-            for day in range(1, days_in_month + 1):
-                try:
-                    game_date = date(year, month, day)
-                    date_str = game_date.strftime("%Y%m%d")
-                    url = self._get_source_url("espn", date=date_str)
+        url = f"https://site.api.espn.com/apis/site/v2/sports/soccer/usa.nwsl/scoreboard?limit=1000&dates={date_range}"
+        self._logger.info(f"Fetching NWSL schedule: {date_range}")
 
-                    data = self.session.get_json(url)
-                    games = self._parse_espn_response(data, url)
-                    all_games.extend(games)
-
-                except Exception as e:
-                    self._logger.debug(f"ESPN error for {year}-{month}-{day}: {e}")
-                    continue
-
-        return all_games
+        try:
+            data = self.session.get_json(url)
+            return self._parse_espn_response(data, url)
+        except Exception as e:
+            self._logger.error(f"ESPN error: {e}")
+            return []
 
     def _parse_espn_response(
         self,

Scripts/sportstime_parser/scrapers/wnba.py

@@ -1,6 +1,6 @@
 """WNBA scraper implementation with multi-source fallback."""
 
-from datetime import datetime, date
+from datetime import datetime, date, timedelta
 from typing import Optional
 
 from .base import BaseScraper, RawGameData, ScrapeResult
@@ -73,33 +73,30 @@ class WNBAScraper(BaseScraper):
             raise ValueError(f"Unknown source: {source}")
 
     def _scrape_espn(self) -> list[RawGameData]:
-        """Scrape games from ESPN API."""
-        all_games: list[RawGameData] = []
+        """Scrape games from ESPN API using date range query."""
+        # Build date range for entire season (May-October)
+        season_months = self._get_season_months()
+        start_year, start_month = season_months[0]
+        end_year, end_month = season_months[-1]
 
-        for year, month in self._get_season_months():
-            # Get number of days in month
-            if month == 12:
-                next_month = date(year + 1, 1, 1)
-            else:
-                next_month = date(year, month + 1, 1)
+        # Get last day of end month
+        if end_month == 12:
+            end_date = date(end_year + 1, 1, 1) - timedelta(days=1)
+        else:
+            end_date = date(end_year, end_month + 1, 1) - timedelta(days=1)
 
-            days_in_month = (next_month - date(year, month, 1)).days
+        start_date = date(start_year, start_month, 1)
+        date_range = f"{start_date.strftime('%Y%m%d')}-{end_date.strftime('%Y%m%d')}"
 
-            for day in range(1, days_in_month + 1):
-                try:
-                    game_date = date(year, month, day)
-                    date_str = game_date.strftime("%Y%m%d")
-                    url = self._get_source_url("espn", date=date_str)
+        url = f"https://site.api.espn.com/apis/site/v2/sports/basketball/wnba/scoreboard?limit=1000&dates={date_range}"
+        self._logger.info(f"Fetching WNBA schedule: {date_range}")
 
-                    data = self.session.get_json(url)
-                    games = self._parse_espn_response(data, url)
-                    all_games.extend(games)
-
-                except Exception as e:
-                    self._logger.debug(f"ESPN error for {year}-{month}-{day}: {e}")
-                    continue
-
-        return all_games
+        try:
+            data = self.session.get_json(url)
+            return self._parse_espn_response(data, url)
+        except Exception as e:
+            self._logger.error(f"ESPN error: {e}")
+            return []
 
     def _parse_espn_response(
         self,

Scripts/sportstime_parser/validators/__init__.py

@@ -8,10 +8,25 @@ from .report import (
     validate_games,
 )
 
+from .schema import (
+    SchemaValidationError,
+    validate_canonical_stadium,
+    validate_canonical_team,
+    validate_canonical_game,
+    validate_and_raise,
+    validate_batch,
+)
+
 __all__ = [
     "ValidationReport",
     "ValidationSummary",
     "generate_report",
     "detect_duplicate_games",
     "validate_games",
+    "SchemaValidationError",
+    "validate_canonical_stadium",
+    "validate_canonical_team",
+    "validate_canonical_game",
+    "validate_and_raise",
+    "validate_batch",
 ]

Scripts/sportstime_parser/validators/schema.py

@@ -0,0 +1,246 @@
+"""JSON Schema validation for canonical output matching iOS app expectations.
+
+This module defines schemas that match the Swift structs in BootstrapService.swift:
+- JSONCanonicalStadium
+- JSONCanonicalTeam
+- JSONCanonicalGame
+
+Validation is performed at runtime before outputting JSON to ensure
+Python output matches what the iOS app expects.
+"""
+
+import re
+from dataclasses import dataclass
+from typing import Any, Callable, Optional, Union
+
+
+class SchemaValidationError(Exception):
+    """Raised when canonical output fails schema validation."""
+
+    def __init__(self, model_type: str, errors: list[str]):
+        self.model_type = model_type
+        self.errors = errors
+        super().__init__(f"{model_type} schema validation failed:\n" + "\n".join(f"  - {e}" for e in errors))
+
+
+# ISO8601 UTC datetime pattern: YYYY-MM-DDTHH:MM:SSZ
+ISO8601_UTC_PATTERN = re.compile(r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}Z$")
+
+# Season format patterns
+SEASON_SPLIT_PATTERN = re.compile(r"^\d{4}-\d{2}$")  # e.g., "2025-26"
+SEASON_SINGLE_PATTERN = re.compile(r"^\d{4}$")  # e.g., "2025"
+
+
+@dataclass
+class FieldSpec:
+    """Specification for a field in the canonical schema."""
+
+    name: str
+    required: bool
+    field_type: Union[type, tuple]
+    validator: Optional[Callable] = None
+
+
+# Schema definitions matching Swift structs in BootstrapService.swift
+
+STADIUM_SCHEMA: list[FieldSpec] = [
+    FieldSpec("canonical_id", required=True, field_type=str),
+    FieldSpec("name", required=True, field_type=str),
+    FieldSpec("city", required=True, field_type=str),
+    FieldSpec("state", required=True, field_type=str),
+    FieldSpec("latitude", required=True, field_type=(int, float)),
+    FieldSpec("longitude", required=True, field_type=(int, float)),
+    FieldSpec("capacity", required=True, field_type=int),
+    FieldSpec("sport", required=True, field_type=str),
+    FieldSpec("primary_team_abbrevs", required=True, field_type=list),
+    FieldSpec("year_opened", required=False, field_type=(int, type(None))),
+]
+
+TEAM_SCHEMA: list[FieldSpec] = [
+    FieldSpec("canonical_id", required=True, field_type=str),
+    FieldSpec("name", required=True, field_type=str),
+    FieldSpec("abbreviation", required=True, field_type=str),
+    FieldSpec("sport", required=True, field_type=str),
+    FieldSpec("city", required=True, field_type=str),
+    FieldSpec("stadium_canonical_id", required=True, field_type=str),
+    FieldSpec("conference_id", required=False, field_type=(str, type(None))),
+    FieldSpec("division_id", required=False, field_type=(str, type(None))),
+    FieldSpec("primary_color", required=False, field_type=(str, type(None))),
+    FieldSpec("secondary_color", required=False, field_type=(str, type(None))),
+]
+
+GAME_SCHEMA: list[FieldSpec] = [
+    FieldSpec("canonical_id", required=True, field_type=str),
+    FieldSpec("sport", required=True, field_type=str),
+    FieldSpec(
+        "season",
+        required=True,
+        field_type=str,
+        validator=lambda v: SEASON_SPLIT_PATTERN.match(v) or SEASON_SINGLE_PATTERN.match(v),
+    ),
+    FieldSpec(
+        "game_datetime_utc",
+        required=True,
+        field_type=str,
+        validator=lambda v: ISO8601_UTC_PATTERN.match(v),
+    ),
+    FieldSpec("home_team_canonical_id", required=True, field_type=str),
+    FieldSpec("away_team_canonical_id", required=True, field_type=str),
+    FieldSpec("stadium_canonical_id", required=True, field_type=str),
+    FieldSpec("is_playoff", required=True, field_type=bool),
+    FieldSpec("broadcast", required=False, field_type=(str, type(None))),
+]
+
+
+def validate_field(data: dict[str, Any], spec: FieldSpec) -> list[str]:
+    """Validate a single field against its specification.
+
+    Args:
+        data: The dictionary to validate
+        spec: The field specification
+
+    Returns:
+        List of error messages (empty if valid)
+    """
+    errors = []
+
+    if spec.name not in data:
+        if spec.required:
+            errors.append(f"Missing required field: {spec.name}")
+        return errors
+
+    value = data[spec.name]
+
+    # Check type
+    if not isinstance(value, spec.field_type):
+        expected = spec.field_type.__name__ if isinstance(spec.field_type, type) else str(spec.field_type)
+        actual = type(value).__name__
+        errors.append(f"Field '{spec.name}' has wrong type: expected {expected}, got {actual} (value: {value!r})")
+        return errors
+
+    # Check custom validator
+    if spec.validator and value is not None:
+        if not spec.validator(value):
+            errors.append(f"Field '{spec.name}' failed validation: {value!r}")
+
+    return errors
+
+
+def validate_canonical_stadium(data: dict[str, Any]) -> list[str]:
+    """Validate a canonical stadium dictionary.
+
+    Args:
+        data: Stadium dictionary from to_canonical_dict()
+
+    Returns:
+        List of error messages (empty if valid)
+    """
+    errors = []
+    for spec in STADIUM_SCHEMA:
+        errors.extend(validate_field(data, spec))
+
+    # Additional validation: primary_team_abbrevs should contain strings
+    if "primary_team_abbrevs" in data and isinstance(data["primary_team_abbrevs"], list):
+        for i, abbrev in enumerate(data["primary_team_abbrevs"]):
+            if not isinstance(abbrev, str):
+                errors.append(f"primary_team_abbrevs[{i}] must be string, got {type(abbrev).__name__}")
+
+    return errors
+
+
+def validate_canonical_team(data: dict[str, Any]) -> list[str]:
+    """Validate a canonical team dictionary.
+
+    Args:
+        data: Team dictionary from to_canonical_dict()
+
+    Returns:
+        List of error messages (empty if valid)
+    """
+    errors = []
+    for spec in TEAM_SCHEMA:
+        errors.extend(validate_field(data, spec))
+    return errors
+
+
+def validate_canonical_game(data: dict[str, Any]) -> list[str]:
+    """Validate a canonical game dictionary.
+
+    Args:
+        data: Game dictionary from to_canonical_dict()
+
+    Returns:
+        List of error messages (empty if valid)
+    """
+    errors = []
+    for spec in GAME_SCHEMA:
+        errors.extend(validate_field(data, spec))
+    return errors
+
+
+def validate_and_raise(data: dict[str, Any], model_type: str) -> None:
+    """Validate a canonical dictionary and raise on error.
+
+    Args:
+        data: Dictionary from to_canonical_dict()
+        model_type: One of 'stadium', 'team', 'game'
+
+    Raises:
+        SchemaValidationError: If validation fails
+        ValueError: If model_type is unknown
+    """
+    validators = {
+        "stadium": validate_canonical_stadium,
+        "team": validate_canonical_team,
+        "game": validate_canonical_game,
+    }
+
+    if model_type not in validators:
+        raise ValueError(f"Unknown model type: {model_type}")
+
+    errors = validators[model_type](data)
+    if errors:
+        raise SchemaValidationError(model_type, errors)
+
+
+def validate_batch(
+    items: list[dict[str, Any]],
+    model_type: str,
+    fail_fast: bool = True,
+) -> list[tuple[int, list[str]]]:
+    """Validate a batch of canonical dictionaries.
+
+    Args:
+        items: List of dictionaries from to_canonical_dict()
+        model_type: One of 'stadium', 'team', 'game'
+        fail_fast: If True, raise on first error; if False, collect all errors
+
+    Returns:
+        List of (index, errors) tuples for items with validation errors
+
+    Raises:
+        SchemaValidationError: If fail_fast=True and validation fails
+    """
+    validators = {
+        "stadium": validate_canonical_stadium,
+        "team": validate_canonical_team,
+        "game": validate_canonical_game,
+    }
+
+    if model_type not in validators:
+        raise ValueError(f"Unknown model type: {model_type}")
+
+    validator = validators[model_type]
+    all_errors = []
+
+    for i, item in enumerate(items):
+        errors = validator(item)
+        if errors:
+            if fail_fast:
+                raise SchemaValidationError(
+                    model_type,
+                    [f"Item {i}: {e}" for e in errors],
+                )
+            all_errors.append((i, errors))
+
+    return all_errors