""" NairaBet Nigeria scraper. Platform: Altenar (sb2frontend-altenar2.biahosted.com) Integration: nairabet Events + odds endpoint: GET https://sb2frontend-altenar2.biahosted.com/api/Widget/GetEvents Params: culture=en-GB&timezoneOffset=300&integration=nairabet&deviceType=1 &numFormat=en-GB&countryCode=NG&sportId={sport_id}&count=2000 Response structure (flat arrays linked by IDs): events[] → id, name ("Home vs. Away"), startDate, marketIds, competitorIds markets[] → id, typeId, oddIds odds[] → id, typeId, name, price, oddStatus, competitorId (optional) Market typeIds: Football: 1 → 1X2 (odd.typeId 1=Home, 2=Draw, 3=Away) 18 → Total (odd.name contains "Over 2.5" / "Under 2.5") Basketball: 219 → Winner (match odd.competitorId to event.competitorIds[0/1]) Tennis: 186 → Winner (match odd.competitorId to event.competitorIds[0/1]) Sport IDs: football=66, basketball=67, tennis=68 """ import logging from datetime import datetime from typing import List, Dict from scrapers.base import BaseScraper from core.models import Event, Outcome logger = logging.getLogger(__name__) BASE_URL = 'https://sb2frontend-altenar2.biahosted.com/api/Widget/GetEvents' COMMON_PARAMS = ( 'culture=en-GB&timezoneOffset=300&integration=nairabet' '&deviceType=1&numFormat=en-GB&countryCode=NG' ) SPORT_IDS = { 'football': 66, 'basketball': 67, 'tennis': 68, } # {sport: {typeId: market_name}} MARKETS = { 'football': {1: '1X2', 18: 'Over/Under 2.5'}, 'basketball': {219: 'Home/Away'}, 'tennis': {186: 'Home/Away'}, } # Altenar odd typeId → outcome label for 1x2 ODD_TYPE_MAP = {1: 'Home', 2: 'Draw', 3: 'Away'} class NairaBetScraper(BaseScraper): def __init__(self): super().__init__('NairaBet') self.session.headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36', 'Accept': 'application/json, */*', 'Origin': 'https://www.nairabet.com', 'Referer': 'https://www.nairabet.com/', } def get_events(self, sport: str) -> List[Event]: sport_id = SPORT_IDS.get(sport) if not sport_id: return [] events: List[Event] = [] try: raw = self._fetch(sport_id) events = self._parse_all(raw, sport) except Exception as ex: logger.error(f'[NairaBet] {sport} fetch error: {ex}') return events def _fetch(self, sport_id: int) -> dict: url = f'{BASE_URL}?{COMMON_PARAMS}&sportId={sport_id}&count=2000' r = self.session.get(url, timeout=20) r.raise_for_status() return r.json() def _parse_all(self, raw: dict, sport: str) -> List[Event]: # Build lookup dicts markets_by_id: Dict[int, dict] = {m['id']: m for m in raw.get('markets', [])} odds_by_id: Dict[int, dict] = {o['id']: o for o in raw.get('odds', [])} champs_by_id: Dict[int, str] = {c['id']: c.get('name', '') for c in raw.get('champs', [])} sport_markets = MARKETS.get(sport, {}) result: List[Event] = [] for ev in raw.get('events', []): ev_id = ev.get('id', '') name = (ev.get('name') or '').strip() comp_ids = ev.get('competitorIds', []) league = champs_by_id.get(ev.get('champId', ''), '') # Split "Home vs. Away" if ' vs. ' in name: home, away = [t.strip() for t in name.split(' vs. ', 1)] elif ' vs ' in name: home, away = [t.strip() for t in name.split(' vs ', 1)] else: continue if not home or not away: continue date_str = ev.get('startDate', '') try: starts_at = datetime.fromisoformat(date_str.replace('Z', '+00:00')).replace(tzinfo=None) if date_str else None except Exception: starts_at = None for mkt_id in ev.get('marketIds', []): market = markets_by_id.get(mkt_id) if not market: continue type_id = market.get('typeId') if type_id not in sport_markets: continue market_name = sport_markets[type_id] outcomes = self._parse_outcomes(market, odds_by_id, type_id, comp_ids, sport) if not outcomes: continue # Expect exactly 2 outcomes for Winner/H-A markets, 3 for 1X2 expected = 3 if type_id == 1 else 2 if len(outcomes) != expected: continue result.append(Event( event_id=f'nb_{ev_id}_{mkt_id}', bookmaker='NairaBet', sport=sport, home_team=home, away_team=away, market=market_name, outcomes=outcomes, starts_at=starts_at, league=league, )) return result def _parse_outcomes(self, market: dict, odds_by_id: Dict, type_id: int, comp_ids: list, sport: str) -> List[Outcome]: outcomes = [] for oid in market.get('oddIds', []): odd = odds_by_id.get(oid) if not odd: continue if odd.get('oddStatus', 0) != 0: # 0 = active continue price = odd.get('price', 0) try: price = float(price) except (TypeError, ValueError): continue if price <= 1.0: continue if type_id == 1: # 1X2: use odd.typeId (1=Home, 2=Draw, 3=Away) label = ODD_TYPE_MAP.get(odd.get('typeId')) if label is None: continue elif type_id == 18: # Total Goals: odd.name is "Over 2.5" or "Under 2.5" odd_name = odd.get('name', '') if '2.5' not in odd_name: continue label = 'Over' if odd_name.startswith('Over') else 'Under' else: # Winner markets (basketball 219, tennis 186): # use competitorId position in event.competitorIds cid = odd.get('competitorId') if cid is None or not comp_ids: continue if cid == comp_ids[0]: label = 'Home' elif len(comp_ids) > 1 and cid == comp_ids[1]: label = 'Away' else: continue outcomes.append(Outcome(name=label, odds=price, bookmaker='NairaBet')) return outcomes