Bet365 Sports Data Scraper - Scores, Fixtures, Stats, Odds

From Zen Studio, creators of Bet365 Odds, Bet365 Player Props and Flashscore Tennis. Sports data, match analysis and betting research from the same team.

Why choose this actor?

• Build a season dataset, not just today's scoreboard. Collect full-season fixtures and results, then explore team schedules and player game histories. Choose the current season or available previous seasons, across 13 sports.
• Go deeper into each match. Football match detail supports up to 46 stat types, including expected goals (xG), possession and detailed passing. Collect lineups, player heatmaps, missing-player reasons, match events, standings and venue details where published.
• Add the player and transfer picture. Player profiles include market value, career stats and injury status with an expected return where available. Transfer records add fees, currencies, previous and new clubs, and linked news articles. Search teams and players by name.

Preview a Premier League season

{
  "action": "fixtures",
  "competitionIds": "premier-league",
  "season": "Last season",
  "maxResults": 20
}

Open actor input to choose a competition and season. This starts with 20 fixtures. Raise maxResults to cover the available season schedule. Export JSON, CSV or Excel.

For the detailed stats and lineups, choose gameDetail and pass gameId values from the fixture output in gameIds. Choose playerProfile for player and injury details, or transfers for transfer fees. Each action collects its own dataset; fixture rows do not include all these extras.

Historical coverage and optional fields vary by sport and competition. Free Apify accounts can try 5 lifetime runs, up to 50 results each.

Zen Studio · Sports Data
Sports Data You are here	Bet365 Odds Match odds & futures	Live Scores Scores & periods	Player Props Lines & last 5	Flashscore Tennis stats & odds

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start building with this API.

zen-studio/bet365-sports-data on Apify. Call: ApifyClient("TOKEN").actor("zen-studio/bet365-sports-data").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: action (string, required), competitionIds (string), gameIds (array). Full actor spec (input schema with all params/enums/defaults, output dataset fields, README): GET https://api.apify.com/v2/acts/zen-studio~bet365-sports-data/builds/default (Bearer TOKEN) → inputSchema, actorDefinition.storages.dataset, readme. Pricing: $2.99/1k results, item-scraped $0.00299/item. Get token: https://console.apify.com/account/integrations To reach the maintainers, add feedback="<what you needed and did not get>" to any run, including one that worked: a missing field or option, a wrong or empty result, or which actor you are switching to or from and why. The run returns its data exactly as it would without the note, and a human reads every note.

Also available as an MCP server — add zen-studio/bet365-sports-data for natural language access.

 

Output Example

 

Use Cases

• Full season match data — all 380 Premier League games or 850 NBA games for the current season; switch to "Last season" / "2 seasons ago" for history (football leagues have up to 3 seasons).
• Cheap recurring refresh — scores with startDateFrom/startDateTo pulls just the next two weeks of a league (~20 items vs a full 380-game season) to catch postponements, kickoff changes and results.
• Player game logs — game-by-game stats for any player. Football: goals, assists, minutes, clean sheets. Basketball: full box scores (points, rebounds, assists, FG%, 3PT, blocks, steals).
• Squad rankings — rank a team's players by goals, xG, assists, tackles, clean sheets, or any of 12 stat types within a competition.
• Betting analysis — 1X2 odds with opening and current prices, head-to-head trends, and daily tips with tipster ROI and win rates.
• Multi-sport coverage — football, basketball, tennis, hockey, American football, baseball, rugby, handball, volleyball. 2600+ competitions from Premier League to NBA to ATP.
• Transfer tracker — latest player transfers with fees and cited news, filtered by competition.

 

Actions

Scores & Games

Action	Description	Required Input
scores	Games by competition (paginated; supports historical pulls and a startDateFrom/startDateTo date window)	competitionIds
fixtures	Full season fixtures with results	competitionIds
gameDetail	Complete game data: events, lineups, per-sport stats (up to 46 for football), venue, officials	gameIds
teamGames	Team's recent and upcoming matches	competitorId

Players

Action	Description	Required Input
playerProfile	Player profiles with market value, career stats, injury status, photo (batch supported)	athleteIds
playerGames	Player match history with per-game stats	athleteIds (first)
squadStats	Squad ranked by one or more stat types (goals, xG, assists, cards, etc.)	competitorId, competitionIds (first), statType or statTypes
teamStats	Team player stats overview across all stat categories	competitorId

Discovery

Action	Description	Required Input
popular	Top entities for a sport — Football: athletes, teams & competitions; other sports: top competitions	sportType
search	Find players, teams, and competitions by name	searchQuery
competitions	Full competition catalog (2600+)	sportType
transfers	Recent player transfers with fees and news	competitionIds (first)

Betting

Action	Description	Required Input
odds	1X2 match odds from Bet365 (decimal, fractional, American)	competitionIds
trends	Betting trends and head-to-head insights with recommendations	gameIds (first)
dailyTip	Daily betting tips: recommendation, odds (3 formats), outcome, linked game, plus the tipster's win rate and ROI	None

 

Example Inputs

Premier League scores (last 50 games):

{ "action": "scores", "competitionIds": "premier-league", "maxResults": 50 }

Several competitions, just the next two weeks:

{ "action": "scores", "competitionIds": "premier-league, champions-league, bundesliga", "startDateFrom": "2026-06-25", "startDateTo": "2026-07-09" }

Player profiles by name (batch):

{ "action": "playerProfile", "athleteIds": ["Mbappe", "Haaland", "Salah"] }

Real Madrid squad ranked by several stats at once:

{ "action": "squadStats", "competitorId": "Real Madrid", "competitionIds": "laliga", "statTypes": ["Goals", "Assists", "Expected Goals (xG)"] }

Full game detail:

{ "action": "gameDetail", "gameIds": ["4679449"] }

Top football competitions (one cheap call):

{ "action": "popular", "sportType": "Football", "entityTypes": ["competition"] }

 

Output

Every action is documented below, and the complete field set always lands in your dataset — the examples show representative shapes, not the full set.

Action	Returns (key fields)
scores / fixtures / teamGames	gameId, teams (+ logos, codes, ids), score, halftime, periodScores, status, minute, result, venue, attendance, fanVote, odds (optional), dataAvailability, webUrl
gameDetail	everything in scores plus events, lineups (formations + players), per-sport statistics (up to 46 football), venue, officials, coaches, missingPlayers, standings, headToHead, topPerformers, videos, series
playerProfile	name, age, nationality, club, position, height/weight, marketValue, injuryStatus, seasonStats (per competition), careerStats, photo
playerGames	per-game line: teams, score, competition, season, minutes + sport stats, didNotPlayReason
squadStats	ranked players: name, team, country, plus each requested stat (Goals / xG / Assists / …)
teamStats	top players per stat category across the squad
search	athletes / teams / competitions by name, with resolved countryName / sportName, market value, popularity
popular	top athletes / teams / competitions for a sport, resolved names + season metadata
competitions	catalog: name, slug, countryName, sport, gender, season dates, popularity
transfers	player, from/to teams, fee + currency, formation position, news articles, likes
odds	1X2 odds per game (decimal / fractional / American, opening + current)
trends	per-team betting trends with recommendations + structured betLines
dailyTip	tipster picks: recommendation, odds (3 formats), outcome, linked game, win rate, ROI

Match data (scores, fixtures, teamGames)

{
  "gameId": 4452851,
  "sportType": "Football",
  "competition": "Premier League",
  "competitionId": 7,
  "season": 131,
  "startTime": "2026-03-14T15:00:00Z",
  "status": "finished",
  "homeTeam": "Sunderland",
  "homeTeamId": 117,
  "homeTeamCode": "SUN",
  "homeTeamLogo": "https://cdn.example.com/.../Competitors/117",
  "awayTeam": "Brighton",
  "awayTeamCode": "BHA",
  "homeScore": 0,
  "awayScore": 1,
  "homeHalftimeScore": 0,
  "awayHalftimeScore": 0,
  "result": "away",
  "attendance": 45497,
  "venue": { "id": 9007, "name": "Stadium of Light" },
  "dataAvailability": { "lineups": true, "statistics": true, "standings": true, "odds": true },
  "fanVote": { "home": 3603, "draw": 1629, "away": 3021 },
  "odds": {
    "bookmaker": "Bet365", "settled": true,
    "homeWinOdds": 3.5, "homeWinFractional": "5/2", "homeWinAmerican": "+250", "homeWinOpeningOdds": 3.3,
    "drawOdds": 3.6, "awayWinOdds": 2.05, "awayWinWon": true
  }
}

Add "includeOdds": true to attach the odds block to every game. The standalone odds action returns the same odds block per game.

Per-period scores — every sport

Each match row carries periodScores (per-set / per-quarter / per-period, with the winner). homeHalftimeScore/awayHalftimeScore are football-only; individual sports also include homeRanking/awayRanking and recent form.

// Tennis (sets, with a set-2 tie-break)
"periodScores": [
  { "name": "Set 1", "shortName": "S1", "home": 3, "away": 6, "winner": "away" },
  { "name": "Set 2", "shortName": "S2", "home": 7, "away": 6, "winner": "home", "tieBreak": { "home": 7, "away": 2 } },
  { "name": "Set 3", "shortName": "S3", "home": 5, "away": 7, "winner": "away" }
]
// Basketball (quarters): Q1 23-22, Q2 31-39, Q3 25-26, Q4 22-28

Game detail (gameDetail)

{
  "gameId": 4679449,
  "competition": "UEFA Champions League",
  "homeTeam": "FC Barcelona",
  "awayTeam": "Newcastle United",
  "homeScore": 7, "awayScore": 2,
  "status": "finished", "result": "home",
  "aggregateScore": [8.0, 3.0],
  "events": [
    { "type": "Goal", "subType": "Open Play", "minute": 6.0, "minuteDisplay": "6'", "player": "Raphinha", "team": "home", "assistPlayers": ["Fermín López"] }
    // ... every goal and card
  ],
  "lineups": {
    "home": { "formation": "4-2-3-1", "players": [ { "name": "Joan García", "jerseyNumber": 13, "position": 1, "isStarter": false, "age": 24, "rating": 6.1 } /* 23 per team */ ] },
    "away": { "formation": "4-3-3", "players": [ /* ... */ ] }
  },
  "statistics": {
    "possession": { "home": "64%", "away": "36%", "homePct": 0.64, "awayPct": 0.36 },
    "totalShots": { "home": "22", "away": "7" },
    "expectedGoals": { "home": "4.85", "away": "1.40" },
    "expectedAssists": { "home": "3.90", "away": "1.10" },
    "bigChancesCreated": { "home": "9", "away": "2" },
    "passesCompleted": { "home": "612", "away": "320" }
    // ... up to 46 football stat types
  },
  "venue": { "id": 122, "name": "Spotify Camp Nou", "country": "Spain", "capacity": 105000, "surface": "grass", "location": { "lat": 2.12, "lng": 41.38 } },
  "officials": [{ "name": "Francois Letexier", "role": "Referee" }],
  "coaches": [{ "name": "Hans-Dieter Flick", "team": "home" }],
  "missingPlayers": [{ "name": "Jules Koundé", "team": "home", "reason": "Thigh injury" }],
  "standings": [ /* full table: position, played, won/draw/lost, GF/GA, points */ ]
}

statistics keys are labeled per sport. Football is shown above; basketball returns shooting splits, rebounds, fast-break and points-in-the-paint; tennis returns serve/return splits and winners / unforced errors by shot type; ice hockey, volleyball and rugby are labeled too. Any stat the source does not name is returned as stat<N>, so nothing is dropped.

Player profile (playerProfile)

{
  "athleteId": 39789,
  "name": "Raphinha",
  "age": 29,
  "nationality": "Brazil",
  "club": "FC Barcelona",
  "position": "Attacker",
  "marketValue": 85000000,
  "marketValueCurrency": "EUR",
  "nationalTeamId": 2379,
  "injuryStatus": { "injuryType": "Hamstring Injury", "expectedReturn": "Early July 2026" },
  "seasonStats": [
    { "competition": "LaLiga", "competitionId": 11, "Goals": "11", "Assists": "3", "Appearances": "19", "Time Played": "1210" }
    // ... more competitions (club + national team kept separately)
  ],
  "careerStats": { "Goals": "120", "Assists": "75" },
  "popularityRank": 175
}

Transfers (transfers)

{
  "transferId": 354519,
  "playerName": "Raúl Jiménez",
  "formationPosition": "Centre Forward",
  "playerCountry": "Mexico",
  "origin": "Fulham",
  "target": "Everton",
  "time": "2026-03-21T19:38:00Z",
  "price": "Terms Agreed",
  "priceValue": 0,
  "priceCurrency": "GBP",
  "likes": 10857,
  "dislikes": 4543,
  "articles": [
    { "source": "Fabrizio Romano", "url": "https://x.com/FabrizioRomano/status/...", "publishTime": "2026-06-09T09:19:00Z" }
  ],
  "status": "Rumor"
}

Betting trends (trends)

{
  "category": "Team Trends",
  "competitors": ["Barcelona"],
  "text": "Barcelona won - 5/6 Last Matches",
  "recommendation": "Barcelona to win",
  "recommendations": ["Barcelona to win"],
  "betLines": [{ "recommendation": "Barcelona to win", "lineTypeId": 1, "param": null, "optionNum": 1, "competitorId": 104 }],
  "gameId": 4679449, "homeTeam": "Barcelona", "awayTeam": "Newcastle Utd"
}

 

Quick Reference

Competition Slugs

Use these in competitionIds. Comma-separate for multiple.

Slug	Competition	Slug	Competition
premier-league	Premier League	champions-league	UEFA Champions League
laliga	LaLiga	europa-league	UEFA Europa League
bundesliga	Bundesliga	fa-cup	FA Cup
serie-a	Serie A	copa-del-rey	Copa del Rey
ligue-1	Ligue 1	nba	NBA
nfl	NFL	nhl	NHL

70+ slugs built in. Run the competitions action to discover all 2600+.

Teams and Players

Type names directly, no IDs needed:

• Teams: "Real Madrid", "Arsenal", "Inter Miami" — auto-resolved (football teams prioritized)
• Players: "Mbappe", "Haaland", "Salah" — auto-resolved to the best match
• Numeric IDs also accepted

 

Input Reference

Field	Type	Used By	Description
action	enum	All	Which action to run (required)
competitionIds	string	scores, fixtures, odds (all), squadStats, transfers (first)	Competition slugs, comma-separated. E.g. premier-league, champions-league
season	enum	fixtures	Current season, Last season, or 2 seasons ago
startDateFrom	string	scores	Only games on/after this date (YYYY-MM-DD). Cheap date-window refresh instead of a full season.
startDateTo	string	scores	Only games on/before this date (YYYY-MM-DD). Up to a 30-day range; set just one bound for a 14-day window.
gameIds	string[]	gameDetail (all), trends (first)	Game IDs (from scores or fixtures output)
competitorId	string	teamGames, squadStats, teamStats	Team name or ID. E.g. Real Madrid or 131
athleteIds	string[]	playerProfile (all), playerGames (first)	Player names or IDs. E.g. ["Mbappe", "Haaland"]
statType	enum	squadStats	Goals, Assists, Expected Goals (xG), Rating, etc.
statTypes	string[]	squadStats	Several stats at once (e.g. Goals, Assists, xG), all returned per player in one run. Overrides statType.
searchQuery	string	search	Search by name (teams, competitions)
sportType	enum	popular, competitions	Football, Basketball, Tennis, etc.
entityTypes	array	popular	Limit to athlete, team, competition. Empty = all. E.g. ["competition"] for top leagues.
maxResults	int	All	Max items to return (default: 500)
includeOdds	bool	scores, teamGames	Add Bet365 1X2 odds
language	enum	All	English, Deutsch, Español, Français, etc.

 

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Pricing

Pay per dataset item. No subscriptions. $2.99 per 1,000 results. Free to try: the first 5 runs are free (up to 50 results each).

Use Case	Items	Cost
Full EPL season fixtures	380	$1.14
3 player profiles	3	$0.01
50 historical EPL scores	50	$0.15
Squad goals ranking (LaLiga team)	~20	$0.06
Popular competitions (Basketball, Tennis, etc.)	20	$0.06

Billing is per result, so the rich extra fields (per-sport stats, resolved names, venues, trends) don't add to your cost.

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FAQ

Do I need to know any IDs? No. Competitions use slugs (premier-league), teams and players accept names (Real Madrid, Mbappe), and sports/stats are dropdowns. Country, team and source come back as resolved names too. Only game IDs (from scores output) are numeric, since games have no names.

Can I pull historical data? Yes. scores paginates backwards through history (set maxResults: 5000 for multiple seasons), and fixtures returns the full current season in one call. Use startDateFrom/startDateTo for a cheap date window.

What's the difference between this and the Live Scores actor? This actor is for batch pulls: historical data, player profiles, transfers, full seasons. The Live Scores actor is a real-time Standby API for polling live games every 30-60 seconds.

What sports are covered? Football (813 competitions), Basketball (215), Tennis (1105), Hockey (47), Handball (38), American Football (15), Baseball (24), Volleyball (323), Rugby (35).

 

More Zen Studio scrapers for sports betting

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• FanDuel
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• DraftKings
  • DraftKings Odds API
• BetMGM
  • BetMGM Odds API
• Bet365
  • Bet365 Real-Time Odds API
  • Bet365 Live Scores API

🎯 Daily fantasy & player props

• Player Props Aggregator
  • Player Props Line Shopping
• PrizePicks
  • PrizePicks Player Props Scraper
• Underdog Fantasy
  • Underdog Fantasy Player Props API
• Sleeper
  • Sleeper Player Props
• DraftKings Pick6
  • DraftKings Pick6 Player Props
• Bet365
  • Bet365 Player Props API

🎾 Live scores & match data

• Tennis Abstract
  • Tennis Abstract Scraper
• Flashscore
  • Flashscore Tennis Scraper & API

Support

Bug reports, feature requests, or questions? Open an issue in the Issues tab.

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15 actions. 13 sports. 2600+ competitions. Scores, players, stats, transfers, odds, trends.