Flashscore Scraper — Live Scores, Results, Fixtures, Odds & Match Statistics

Flashscore Scraper collects football (soccer), tennis, basketball, hockey and 24 more sports from Flashscore.com — live scores, finished results, upcoming fixtures, full season history, betting odds by bookmaker, match statistics (xG, possession, aces, break points…), lineups, goals and cards, and tennis point-by-point. It is a fast Flashscore API alternative: no login, no API key, no browser, no proxy needed. Export to JSON, CSV, Excel, Google Sheets or straight into your database, model or AI agent.

Use it as a Flashscore results scraper for whole leagues and seasons (Premier League, LaLiga, Bundesliga, Serie A, Ligue 1, NBA, NHL…), as a tennis data scraper for every ATP, WTA, Challenger and ITF match, or as a live score and odds feed you schedule every few minutes. One run returns tens of thousands of matches — measured on the Apify platform: 16,456 matches from 50 league seasons in 10 seconds and 39,204 ITF tennis matches in about two minutes.

Independent tool — not affiliated with, endorsed by or sponsored by Flashscore or Livesport s.r.o. All trademarks belong to their owners. The Actor reads the same public data your browser shows on flashscore.com.

---

What you get

	What is in each row (one row = one match)
Match	Flashscore match ID and URL, sport, start time (UTC), status (scheduled / live / finished / postponed / cancelled / walkover / retired …) and the exact Flashscore status text ("After Penalties", "Set 2", "Half Time"…)
Competition	Country or tennis category (ATP - Singles, ITF Women - Singles…), tournament / league name, season, round, tennis surface, tournament URL and IDs
Teams / players	Home and away name, Flashscore participant ID and profile URL, logo / photo URL, 3-letter code; for tennis the players' countries and doubles partners
Score	Final score, regular-time score, extra-time score, penalty shoot-out, half-time score, every period (halves, quarters, periods, sets, innings), tennis tie-breaks, winner, a readable scoreSummary ("7-6 (7-1), 6-7 (3-7), 3-6"), red cards
Live (tennis)	Points in the current game and who is serving
Summary (optional)	Venue, city, attendance, stadium capacity, referee / umpire and nationality, match and set durations
Statistics (optional)	Every stat Flashscore shows, for the whole match and per period — football: xG, xGOT, possession, shots, big chances, corners, passes, fouls, saves…; tennis: aces, double faults, 1st/2nd serve %, break points saved/converted, winners, unforced errors, total points…
Events (optional)	Goals with scorer, assist and score after the goal, yellow/red cards with reason, substitutions (in/out), missed penalties, VAR — with minute and team
Lineups (optional)	Formation, starting XI, substitutes, coach — with shirt number, nationality, captain/goalkeeper flags and player IDs
Point-by-point (optional, tennis)	Every game of every set: server, game winner, breaks of serve and the full point sequence with break points (BP), set points (SP) and match points (MP); every tie-break point
Odds (optional)	Pre-match 1X2 or home/away odds per bookmaker — closing and opening — plus averages, best prices and averaged over/under lines (goals, games or sets); also for upcoming matches

28 duel sports are supported: football, tennis, basketball, hockey, American football, baseball, handball, volleyball, rugby union, rugby league, cricket, darts, snooker, table tennis, badminton, esports, futsal, floorball, bandy, beach volleyball, Aussie rules, water polo, field hockey, beach soccer, boxing, MMA, netball and pesäpallo.

---

Three ways to use it

1. Daily scores & fixtures (by sport and day)

Every match of the chosen sports for up to 7 days back and 7 days ahead — results, live scores and fixtures in one dataset. Perfect for a scheduled job that keeps your database or betting model up to date.

{
  "mode": "daily",
  "sports": ["football", "tennis", "basketball", "hockey"],
  "daysBack": 1,
  "daysAhead": 2,
  "matchStatus": "all",
  "maxItems": 10000
}

2. League / tournament history (whole seasons)

Complete results — and optionally the remaining fixtures — of entire seasons, as many seasons back as Flashscore's archive goes (the Premier League archive reaches the 1990s). Paste a league URL, a single-season URL, a tennis category (every tournament in it) or a country (every competition in it):

{
  "mode": "leagues",
  "leagueUrls": [
    "https://www.flashscore.com/football/england/premier-league/",
    "https://www.flashscore.com/football/spain/laliga/",
    "https://www.flashscore.com/basketball/usa/nba/"
  ],
  "seasons": 10,
  "includeFixtures": true
}

All ATP and WTA singles tournaments of the 2025 season, with statistics and point-by-point:

{
  "mode": "leagues",
  "leagueUrls": [
    "https://www.flashscore.com/tennis/atp-singles/",
    "https://www.flashscore.com/tennis/wta-singles/"
  ],
  "seasonNames": ["2025"],
  "details": ["statistics", "pointByPoint"]
}

You can also type names — "leagueNames": ["Premier League", "NBA", "Wimbledon", "Bundesliga"] — and the Actor finds them with Flashscore's own search.

3. Specific matches

{
  "mode": "matches",
  "matchUrls": [
    "https://www.flashscore.com/match/football/arsenal-hA1Zm19f/everton-KluSTr9s/?mid=jXP8f29S",
    "KOht3l94"
  ],
  "details": ["summary", "statistics", "events", "lineups", "odds"]
}

Extra details (any mode)

Add "details": [...] with any of summary, statistics, events, lineups, pointByPoint, odds. Each one is fetched only for the matches that are actually saved. oddsCountry (default GB) decides which bookmakers you see — e.g. DE, FR, ES, IT, PL, BR.

---

Input reference

Field	Type	Default	Meaning
mode	daily / leagues / matches	daily	What to scrape. Filling league URLs or match URLs switches mode automatically.
sports	list	football, tennis, basketball, hockey	Sports for daily mode (URL slugs: football, tennis, american-football, table-tennis…).
daysBack / daysAhead	0–7	1 / 0	Day window for daily mode.
leagueUrls	list of URLs	–	Leagues, seasons, tennis categories or countries. Short paths like football/spain/laliga work too.
leagueNames	list of text	–	League names resolved with Flashscore search.
seasons	number	1	How many latest seasons per league.
seasonNames	list	–	Exact seasons, e.g. 2023/2024, 2019/2020, 2025.
includeFixtures	boolean	false	Also the unplayed matches of the current season.
matchUrls	list	–	Match URLs or 8-character match IDs.
matchStatus	all / finished / scheduled / live	all	Keep only results, only fixtures or only live matches.
details	list	none	summary, statistics, events, lineups, pointByPoint, odds.
oddsCountry	2 letters	GB	Bookmaker set for odds.
maxItems	number	10,000	Stop after this many matches (0 = no limit).
concurrency	1–50	16	Parallel requests.
proxyConfiguration	proxy	none	Not needed; the Actor switches to Apify Proxy by itself if Flashscore ever refuses the direct connection.

---

Output example

A WTA match from a daily run with all tennis details (shortened — real run, 13 Oct 2026):

{
  "matchId": "27tGDU8l",
  "matchUrl": "https://www.flashscore.com/match/27tGDU8l/",
  "sport": "Tennis",
  "category": "WTA - Singles",
  "tournament": "Wuhan (China)",
  "tournamentFullName": "WTA - SINGLES: Wuhan (China), hard",
  "surface": "hard",
  "startTime": "2026-10-13T03:10:00.000Z",
  "status": "finished",
  "statusDetail": "Finished",
  "homeName": "Birrell K.",
  "awayName": "Volynets K.",
  "homeScore": 1,
  "awayScore": 2,
  "winner": "away",
  "winnerName": "Volynets K.",
  "scoreSummary": "1-2: 7-6 (7-1), 6-7 (3-7), 3-6",
  "periods": [{ "home": 7, "away": 6 }, { "home": 6, "away": 7 }, { "home": 3, "away": 6 }],
  "tiebreaks": ["7-1", "3-7", null, null, null],
  "homeCountry": "Australia",
  "awayCountry": "USA",
  "homeUrl": "https://www.flashscore.com/player/birrell-kimberly/S4ljFw3g/",
  "referee": "Svarova N.",
  "matchDuration": "3:01",
  "periodDurations": ["1:07", "1:11", "0:43"],
  "statistics": {
    "Match": {
      "Aces": { "home": 5, "away": 1 },
      "Double Faults": { "home": 8, "away": 4 },
      "1st serve percentage": { "home": "64%", "away": "70%" },
      "Break Points Saved": { "home": "14/22", "away": "3/9" }
    },
    "Set 1": { "…": "…" }
  },
  "pointByPoint": [
    { "set": 1, "kind": "game", "homeScore": 0, "awayScore": 1, "server": "home", "winner": "away", "serviceLost": true,
      "points": "15:0, 15:15, 30:15, 30:30, 30:40 BP, 40:40, 40:A BP, 40:40, 40:A BP, 40:40, 40:A BP" }
  ],
  "odds": {
    "market": "Home/Away",
    "bookmakerCount": 20,
    "homeAverage": 2.5,
    "awayAverage": 1.5,
    "homeOpeningAverage": 2.32,
    "awayOpeningAverage": 1.56,
    "bookmakers": [{ "bookmaker": "bet365", "home": 2.5, "away": 1.53, "homeOpening": 2.38, "awayOpening": 1.57 }],
    "overUnder": [{ "line": 22.5, "unit": "games", "over": 1.86, "under": 1.84, "bookmakers": 16 }]
  }
}

A Premier League match with summary, statistics, events, lineups and odds (shortened — EPL 2024/2025 run):

{
  "matchId": "4Q2eCnZ0",
  "sport": "Football",
  "country": "England",
  "tournament": "Premier League",
  "season": "2024/2025",
  "round": "Round 38",
  "startTime": "2025-05-25T15:00:00.000Z",
  "homeName": "Newcastle",
  "awayName": "Everton",
  "homeScore": 0,
  "awayScore": 1,
  "halfTimeHome": 0,
  "halfTimeAway": 0,
  "scoreSummary": "0-1 (HT 0-0)",
  "winner": "away",
  "homeRedCards": 0,
  "awayRedCards": 0,
  "venue": "St. James' Park",
  "city": "Newcastle",
  "attendance": 52221,
  "venueCapacity": 52305,
  "referee": "Harrington T.",
  "statistics": { "Match": { "Expected goals (xG)": { "home": 1.27, "away": 0.9 }, "Ball possession": { "home": "66%", "away": "34%" }, "Total shots": { "home": 17, "away": 14 }, "Corner kicks": { "home": 12, "away": 3 } } },
  "events": [{ "period": "1st Half", "minute": "24'", "team": "away", "type": "Yellow Card", "player": "Gueye I.", "detail": "Roughing" }],
  "lineups": { "home": { "formation": "1-3-4-3", "coach": "Howe E.", "starting": [{ "name": "Barnes H.", "number": 11, "nationality": "England" }] } },
  "odds": { "market": "1X2", "bookmakerCount": 16, "homeAverage": 1.25, "drawAverage": 6.19, "awayAverage": 10.91, "homeOpeningAverage": 1.37 }
}

---

Data dictionary

Identity & competition

Field	Description
matchId	Flashscore's 8-character match ID — stable, use it to de-duplicate and to join runs.
matchUrl	Link to the match on flashscore.com.
sport, sportId	Sport name and Flashscore's numeric sport ID (1 football, 2 tennis, 3 basketball, 4 hockey…).
country	Country of the competition for team sports (England, Spain, World, Europe…).
category	Flashscore's category: the country for team sports, the tour for tennis (ATP - Singles, Challenger Women - Singles, ITF Men - Doubles…).
tournament	Tournament or league name (Premier League, Wuhan (China), Shanghai (China) - Qualification).
tournamentFullName	Exactly as Flashscore prints the header (ENGLAND: Premier League, WTA - SINGLES: Wuhan (China), hard).
season	Season (2024/2025, 2025) in league mode.
round	Round in league mode (Round 38, 1/8-finals, Semi-finals, Final).
surface	Tennis surface: hard, clay, grass, hard (indoor), clay (indoor), carpet.
tournamentUrl, tournamentId, tournamentStageId, tournamentTemplateId	Links and Flashscore IDs of the competition, season and stage.

Time & status

Field	Description
startTime, date	Kick-off / first serve in UTC (ISO 8601) and its date.
status	scheduled, live, finished, postponed, cancelled, interrupted, abandoned, delayed, awarded. Walkovers and retirements are finished with a flag.
statusDetail, statusCode	Flashscore's own stage text and code: Finished, After Extra Time, After Penalties, Walkover, Finished / retired, 2nd Half, Set 3 - Tiebreak, Half Time…
retired, walkover	Tennis/individual sports: the match ended by retirement / was a walkover.

Participants

Field	Description
homeName, awayName	Team or player names as on Flashscore; doubles as Player A/Player B.
homeId, awayId	Flashscore participant IDs (team or player).
homeUrl, awayUrl	Team or player profile page.
homeCountry, awayCountry	Players' countries (tennis and other individual sports); doubles as Country A / Country B.
homeShortName, awayShortName	3-letter codes (ARS, NEW, SIN).
homeLogo, awayLogo	Team logo or player photo URL when Flashscore has one.

Score

Field	Description
homeScore, awayScore	Result after regular time plus extra time / overtime, without the shoot-out (sets won in tennis, goals in football, points in basketball).
homeScoreRegularTime, awayScoreRegularTime	Score after regular time (90 minutes, 60 minutes of hockey, four quarters…).
homeScoreExtraTime, awayScoreExtraTime	Score after extra time / overtime, when played.
homePenalties, awayPenalties	Penalty or overtime shoot-out score.
halfTimeHome, halfTimeAway	Half-time score (football, futsal, handball, beach soccer).
periods	Score of every period in order: halves, quarters, hockey periods, tennis/volleyball sets (games or points), innings.
tiebreaks	Tennis tie-break score per set ("7-4"), null for sets without one.
winner, winnerName	home, away or draw (shoot-outs decide the winner).
scoreSummary	Readable line: 2-1 (HT 1-1), 1-1 (HT 0-1), AET 2-1, 0-0 (HT 0-0), pens 4-3, 1-2: 7-6 (7-1), 6-7 (3-7), 3-6.
homeRedCards, awayRedCards	Red cards (football; 0 when the match has full coverage and no red card).
currentGame, serving	Tennis live: points in the current game (30-15) and home/away serving.
infoNotice	Flashscore's note on the match: aggregate score, neutral venue, withdrawals, closed roof…

Optional details

Field	Description
referee, refereeCountry	Referee (football…) or chair umpire (tennis) and nationality code.
venue, city, attendance, venueCapacity	Stadium, city, spectators and capacity.
matchDuration, periodDurations	Tennis match and set durations ("3:01", ["1:07","1:11","0:43"]).
statistics	{ "Match": { "<stat>": { "home", "away" } }, "1st Half": {…}, "Set 1": {…} } — numbers as numbers, percentages and ratios as shown ("64%", "60% (49/82)").
events	Goals, cards, substitutions, VAR, missed penalties: period, minute, team, type, player, playerId, assist, playerOut, detail (card reason), score after a goal, commentary text.
lineups	{ home: { formation, starting[], substitutes[], coach }, away: {…} }; players with name, number, nationality, role (Captain / Goalkeeper), playerId, url.
pointByPoint	Tennis games: set, kind (game / tiebreak / set), homeScore/awayScore after the game, server, winner, serviceLost, points (with BP/SP/MP marks).
odds	market (1X2 or Home/Away), bookmakerCount, closing and opening averages, best prices, bookmakers[] with each bookmaker's closing and opening odds, overUnder[] (line, unit games/sets, average over/under, bookmakers), marketsAvailable.
scrapedAt	When the row was collected (UTC).

---

How much data can I get?

Flashscore keeps an enormous archive, and the Actor reads it through the same data feeds the website uses — so volume is limited by what you ask for, not by the scraper. Measured on the Apify platform on 15 October 2026:

Run	Matches	Time
Prefill (tennis, yesterday + today, 200 matches)	200	1.9 s
Daily default — football, tennis, basketball, hockey, 1,000 matches	1,000	2.5 s
Premier League, LaLiga, Bundesliga, Serie A, Ligue 1 × 10 seasons	16,456 (all 50 seasons complete, 0 duplicates)	10 s
ITF Men + ITF Women singles, every 2025 tournament (1,264 editions)	39,204 (0 duplicates)	129 s
ATP singles — latest edition of all 104 listed tournaments	5,609	~15 s
1,000 tennis matches with summary + statistics + point-by-point + odds	1,000	71 s
Premier League 2024/2025, all 380 matches with summary, statistics, events, lineups and odds	380	75 s

How big the archive is, per source (tournaments listed by Flashscore): ITF Women Singles 1,766 · ITF Men Singles 1,357 · ITF Men Doubles 1,355 · Challenger Men Singles 622 · Challenger Men Doubles 565 · WTA Singles 232 · ATP Singles 203 · WTA Doubles 228 · ATP Doubles 199. A football country like England lists 29 competitions; the Premier League archive goes back to 1995/1996 (380 matches that season too).

Detail coverage depends on the level of the competition, exactly as on the website. Measured on 1,000 tennis matches: ATP/WTA/Challenger singles have statistics (17–21 stats per period), point-by-point and odds for 99–100 % of matches; ITF matches have odds for ~99 % and point-by-point for ~40 %, but Flashscore publishes only a minimal stat line for them. Premier League: venue, attendance, referee, 35 statistics, events, lineups and odds for 100 % of 380 matches (12.6 bookmakers per match on average).

---

What you pay

You pay a fixed price per match row — $1.50 per 1,000 matches on the free plan, less on paid Apify plans (down to $1.00 per 1,000). Everything is included: the extra details (statistics, events, lineups, point-by-point, odds) do not cost extra, and there are no separate compute or proxy charges for you.

Maximum cost per run. Apify lets you cap what a run may spend ("Maximum cost per run" in the run options, or maxTotalChargeUsd in the API). The Actor reads that cap at the start, collects exactly as many matches as it covers and finishes cleanly with a message such as "Saved 37 matches — this run's maximum cost ($0.05) covers 37 results" — it never runs over the cap and never ends as an aborted run. To collect more, raise the cap or maxItems.

---

Use cases

• Sports betting models & value betting — years of results with half-time, extra-time and penalty scores, plus closing and opening odds from up to 20 bookmakers per match, to train and back-test models.
• Tennis analytics — every ATP, WTA, Challenger and ITF match with surface, round, set and tie-break scores, retirements, serve and return statistics, and point-by-point game flow (breaks, BP/SP/MP).
• Live score apps, bots and dashboards — schedule the daily mode every few minutes; live status, current game and server for tennis.
• Fantasy sports and tipping — fixtures, lineups, events and form data in one place.
• Sports journalism & content — results, attendances, referees and statistics for articles, previews and newsletters.
• Academic research — home advantage, referee bias, momentum in tennis, attendance studies across thousands of seasons.
• Data products — feed a database, data warehouse or Google Sheet with clean, typed match data.
• AI agents — give an LLM agent reliable sports data through the Apify MCP server or API.

---

Integrations & API

Run it from the Apify Console, on a schedule, or through the API.

cURL — run and get the results in one call:

curl -X POST "https://api.apify.com/v2/acts/logiover~flashscore-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"daily","sports":["tennis"],"daysBack":1,"matchStatus":"finished"}'

Node.js (npm i apify-client):

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('logiover/flashscore-scraper').call({
    mode: 'leagues',
    leagueUrls: ['https://www.flashscore.com/football/england/premier-league/'],
    seasons: 5,
    details: ['statistics', 'odds'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0].scoreSummary);

Python (pip install apify-client):

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("logiover/flashscore-scraper").call(run_input={
    "mode": "leagues",
    "leagueUrls": ["https://www.flashscore.com/tennis/atp-singles/"],
    "seasonNames": ["2025"],
    "details": ["statistics", "pointByPoint"],
})
for match in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(match["date"], match["homeName"], match["awayName"], match["scoreSummary"])

No-code: use the Apify integrations for Make, Zapier, n8n, Google Sheets, Airbyte, Keboola or a webhook that fires when a run finishes. Exports: JSON, CSV, Excel, XML, HTML table, RSS. AI agents: add the Actor to the Apify MCP server to let Claude, ChatGPT or any MCP client pull live scores and odds on demand.

Tip for scheduled jobs: use matchId as the key — re-running the daily mode updates the same matches as they go from scheduled to live to finished.

---

Why this Flashscore scraper

	This Actor	Typical alternatives
Sports	28 duel sports in one Actor	often one sport (football only or tennis only)
History	any season in Flashscore's archive, whole categories and countries at once	today ± a few days
Tennis	ATP, WTA, Challenger, ITF, singles and doubles, surface, tie-breaks, point-by-point	match list only
Odds	closing and opening odds per bookmaker, over/under lines, also for fixtures	none, or charged extra
Details pricing	included in the per-match price	extra event per detail
Speed	~1,600 matches per second from feeds; tens of thousands per run	page-by-page browsers
Run outcome	clear success / empty / failure, never a silent empty "success"	varies

---

Limits & good to know

• Daily mode covers 7 days back and 7 days ahead — that is what Flashscore's daily feeds offer. For anything older use league / tournament history mode.
• Non-duel sports (golf, motorsport, cycling, horse racing, winter sports) use a different format and are not included.
• Coverage follows Flashscore. Lower leagues and ITF tennis often have no lineups, fewer statistics or no point-by-point; those fields are then null.
• Odds are the pre-match odds Flashscore displays for the bookmakers available in oddsCountry; markets vary by match.
• Times are UTC. date is the UTC date of the start time.
• Live data is a snapshot taken when the row is saved. Schedule frequent runs for live tracking.
• round is filled in league mode (the daily feeds do not carry it).

---

FAQ

How do I scrape Flashscore results for a whole season?

Choose League / tournament history, paste the league URL (e.g. https://www.flashscore.com/football/germany/bundesliga/) and set seasons to how many seasons you want, or list exact ones in seasonNames. Every match of each season is returned — the Actor checks each season against Flashscore's own event count.

Can I get historical football results from previous seasons?

Yes. Flashscore's archive goes back decades for major leagues — the Premier League to 1995/1996. Set seasons: 30 or name the seasons you need.

How do I scrape all ATP, WTA, Challenger or ITF tennis matches?

Paste a tennis category URL such as https://www.flashscore.com/tennis/itf-men-singles/ — the Actor expands it to every tournament in the category (1,357 for ITF Men Singles) — and choose the season, e.g. seasonNames: ["2025"]. One run measured 39,204 ITF matches.

Does it give live scores?

Yes. Daily mode includes matches in progress with status: "live", the current period (statusDetail, e.g. Set 2 or 2nd Half), the current score and, for tennis, the points in the current game and who is serving. Use matchStatus: "live" to get only live matches and schedule the Actor as often as you need.

How do I get betting odds from Flashscore?

Add "odds" to details. You get the main market (1X2 for football, home/away for tennis and other sports) for every bookmaker Flashscore lists in oddsCountry, with closing and opening odds, averages and best prices, plus over/under lines with their unit (goals, games or sets). Odds are available for upcoming matches too.

Does it include statistics like xG, possession, aces or break points?

Yes — add "statistics". You get every statistic Flashscore shows, for the whole match and for each half, period or set: xG, xGOT, possession, shots, big chances, corners, passes and saves for football; aces, double faults, serve percentages, break points, winners and unforced errors for tennis.

Is tennis point-by-point data available?

Yes — add "pointByPoint". Each game comes with the server, the winner, whether serve was broken and the full point sequence with break-, set- and match-point marks; tie-breaks point by point. Coverage: ~100 % of ATP, WTA and Challenger singles matches, ~40 % of ITF matches.

Which sports are supported?

Football, tennis, basketball, hockey, American football, baseball, handball, volleyball, rugby union and league, cricket, darts, snooker, table tennis, badminton, esports, futsal, floorball, bandy, beach volleyball, Aussie rules, water polo, field hockey, beach soccer, boxing, MMA, netball and pesäpallo.

Do I need a Flashscore account, an API key or proxies?

No. The Actor reads the public data feeds Flashscore's website uses, over a direct connection. If Flashscore ever refused the direct connection, it would switch to Apify Proxy by itself.

How fast is it?

Results come from data feeds, not from rendering pages: 1,000 matches in about 2–3 seconds, 16,456 matches from 50 league seasons in 10 seconds. Details add one small request per match and type — 1,000 tennis matches with four detail types took 71 seconds.

How much does it cost to scrape 10,000 matches?

$15 on the free Apify plan at $1.50 per 1,000 matches, $10 on plans with the lowest tier. Details are included. You can cap any run with "Maximum cost per run".

Why do some matches have no statistics or lineups?

Because Flashscore does not have them for that match — typically lower leagues, youth football or ITF tennis. The fields are then null rather than guessed.

How do I avoid duplicates when I run it every day?

Use matchId as the key. Within one run every match appears once (a match crossing midnight is listed under two days on Flashscore — the Actor de-duplicates it). Across runs, update rows by matchId.

How are penalty shoot-outs and extra time represented?

homeScoreRegularTime is the 90-minute (or regulation) score, homeScoreExtraTime the score after extra time / overtime, homePenalties the shoot-out, and homeScore the result without the shoot-out. winner tells who won, including shoot-outs, and scoreSummary shows it all, e.g. 1-1 (HT 0-1), AET 2-1.

What time zone are the dates in?

UTC, in ISO 8601 (2025-05-25T15:00:00.000Z).

Can I use it with Python, n8n, Make, Zapier or Google Sheets?

Yes — see "Integrations & API" above. Every run's dataset can be exported or pushed to those tools, and the Actor can be called from any language through the Apify API.

Is it legal to scrape Flashscore?

The Actor collects publicly available sports data (fixtures, results, statistics, odds) at a moderate rate, without logging in. Sports results are facts; still, check Flashscore's terms and the laws that apply to you, and do not republish their content in a way that infringes their rights. This Actor is an independent tool and is not affiliated with Flashscore.

---

Support

Questions, a sport or field you need, or something that looks wrong? Open an issue on the Actor's Issues tab — we reply within 24 hours and fix data problems quickly. Custom versions (extra markets, other bookmakers, scheduled exports) are possible on request.

---

Changelog

• 1.0 (2026-10-15) — First release: daily scores & fixtures for 28 duel sports (7 days back / 7 ahead), full league and tournament season history from Flashscore's archive (league, season, tennis-category and country URLs, league names), specific matches, and optional summary, statistics, events, lineups, tennis point-by-point and bookmaker odds (closing + opening). Pay-per-result with a clean stop at the run's maximum cost.

---

Flashscore is a trademark of Livesport s.r.o. This Actor is an independent tool and is not affiliated with, endorsed by or sponsored by Flashscore or Livesport. All trademarks mentioned are the property of their respective owners.