Flashscore Scraper

Collect live scores, finished results, upcoming fixtures and league tables from Flashscore across 22 sports, as clean rows, in seconds. No account, no API key, no browser.

What does Flashscore Scraper do?

Flashscore Scraper collects every match Flashscore lists for the sports and days you choose: who played, when, the score, and whether the match is scheduled, live, finished, postponed, cancelled or decided by walkover. Pick one or more sports and a date range from a week back to a week ahead. Every competition running in those sports is included, not just the famous leagues.

On request it also adds the detail behind each match: full statistics including expected goals (xG) for the match and each half, the timeline of goals, assists, cards and substitutions, lineups with formations, and league tables.

Running on Apify means you can call it through the API, schedule it every few minutes for live scores, monitor runs, and send results to Google Sheets, Make, Zapier or your own pipeline.

Why scrape Flashscore?

• Build a results database. One run covers a whole day across every league in a sport.
• Track live scores. Schedule short runs and read the rows whose status is live.
• Model and analyse. xG, shots and possession per match feed prediction models.
• Publish fixtures. Upcoming matches with kick-off times, for a site, app or newsletter.
• Follow league races. Standings give rank, played, won, drawn, lost, goals and points.
• Cover minor sports. Futsal, floorball, beach soccer and field hockey are in here too.

How to scrape Flashscore results and fixtures

1. Click Try for free to open the Actor in Apify Console.
2. Pick your Sports and a day range (0 is today, -1 yesterday, 1 tomorrow).
3. Optionally turn on statistics, timeline, lineups or league tables.
4. Click Start and wait a few seconds.
5. Open the Output tab and download the results as JSON, CSV, Excel or HTML.

Input

Everything is set on the Input tab. Every field has a working default.

Field	What it does
sports	One or more of 22 sports. Every competition in each is included.
days_from / days_to	Relative days: 0 today, -1 yesterday, 1 tomorrow. Up to 7 days per run, within a week of today. A wider range keeps its first 7 days and says so in the log.
max_matches_per_day	Cap per sport per day (default 200). A football weekday lists a few hundred matches and a busy weekend 1,000–1,500, while a golf day can list 1,000+ golfers.
include_statistics	Possession, shots, corners, xG, for the whole match and per period. One extra request per match.
include_incidents	Goals with their assists, cards and substitutions, with minutes. One extra request per match.
include_lineups	Formations and named players, with each player's team and lineup section. One extra request per match.
include_standings	League tables for the competitions seen in the matches.
max_standings_tables	Cap on how many league tables are fetched (default 20).
proxy_configuration	Residential proxy by default.

{
    "sports": ["football", "tennis"],
    "days_from": -1,
    "days_to": 0,
    "max_matches_per_day": 200,
    "include_statistics": true,
    "include_standings": false,
    "proxy_configuration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Sports available: football, tennis, basketball, hockey, american-football, baseball, handball, rugby-union, rugby-league, volleyball, beach-volleyball, cricket, futsal, floorball, field-hockey, beach-soccer, aussie-rules, badminton, snooker, darts, boxing, golf.

Output

One row per match. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

{
    "entity": "match",
    "match_id": "YTiXRfng",
    "sport": "football",
    "url": "https://www.flashscore.com/match/YTiXRfng/",
    "status": "finished",
    "start_time": "2026-09-24T18:45:00+00:00",
    "country": "Europe",
    "league": "UEFA Nations League - League A",
    "league_path": "/football/europe/uefa-nations-league/",
    "league_id": "A332sepf",
    "season_id": "A1uGXGgK",
    "home_team": "Netherlands",
    "home_team_id": "WYintcWb",
    "home_logo": "https://www.flashscore.com/res/image/data/MkxaoTAN-fazrR153.png",
    "away_team": "Germany",
    "away_team_id": "ptQide1O",
    "away_logo": "https://www.flashscore.com/res/image/data/0SofTgVH-fB4vYUZp.png",
    "home_score": 1,
    "away_score": 1,
    "winner": "draw",
    "updated_at": "2026-09-24T20:42:28+00:00",
    "scraped_at": "2026-10-01T09:12:44.512331+00:00"
}

A tennis row looks the same, with the score in sets won:

{
    "entity": "match",
    "sport": "tennis",
    "status": "finished",
    "country": "ATP - SINGLES",
    "league": "Beijing (China), hard",
    "home_team": "Khachanov K.",
    "away_team": "Auger-Aliassime F.",
    "home_score": 2,
    "away_score": 0,
    "winner": "home"
}

With the detail options on, each match row also carries:

"statistics": [
    { "period": "Match", "section": "Top stats", "name": "Expected goals (xG)", "home": "3.18", "away": "1.45" },
    { "period": "Match", "section": "Top stats", "name": "Ball possession", "home": "53%", "away": "47%" },
    { "period": "1st Half", "section": "Top stats", "name": "Ball possession", "home": "47%", "away": "53%" }
],
"incidents": [
    { "period": "1st Half", "minute": "32'", "side": "away", "type": "Goal", "player": "Nmecha F.", "player_id": "80RErj9O", "detail": null, "home_score": 0, "away_score": 1 },
    { "period": "1st Half", "minute": "32'", "side": "away", "type": "Assistance", "player": "Adeyemi K.", "player_id": "GvIzwgo8", "detail": null, "home_score": 0, "away_score": 1 }
],
"lineups": {
    "home_formation": "1-4-2-3-1",
    "away_formation": "1-4-2-3-1",
    "players": [
        { "name": "Dumfries D.", "player_id": "QR0j1ejk", "side": "home", "section": "Starting Lineups", "shirt_number": "22", "rating": "7.8" },
        { "name": "Xavi", "player_id": "bs5KnIiT", "side": "home", "section": "Coaches", "shirt_number": null, "rating": null }
    ]
}

League tables come as separate rows with "entity": "standing".

Dataset views

• Matches: the fixture list with scores and status. This is the view you'll use most.
• Statistics & timeline: the per-match detail, when you've asked for it.
• League tables: the standings columns (rank, team, played, points and so on).

Data fields

Match rows (entity: "match"):

Field	Description
match_id	Flashscore's match id.
sport	The sport you asked for, e.g. football.
url	Link to the match on Flashscore.
status	scheduled, live, finished, postponed, cancelled, interrupted, abandoned, retired, walkover or awarded. In golf, finished can mean the golfer has finished the current round while the tournament goes on.
start_time	Kick-off in UTC (ISO 8601).
country	The first part of Flashscore's competition title, as Flashscore writes it. Usually the country or region, e.g. England, USA, Europe. Sports without one use their own grouping: the tour and draw in tennis (ATP - SINGLES), the weight class in boxing (MIDDLEWEIGHT - MEN), the tour in golf (PGA TOUR), the category in badminton (OTHERS - MEN).
league	Competition name, e.g. Premier League. For tennis, the tournament and surface.
league_path	The competition's path on Flashscore.
league_id, season_id	Competition and season ids.
home_team, away_team	Team or player names. In tennis doubles, the two names joined by /. In golf stroke play each row is one golfer, in home_team, and the away_* fields are empty.
home_team_id, away_team_id	Flashscore team or player ids.
home_logo, away_logo	Logo image URLs.
home_score, away_score	The score. Empty until the match starts. In tennis this is sets won, not games. In Aussie rules it is total points, in cricket runs, and in golf stroke play the golfer's score to par (e.g. -9). Boxing has no score.
winner	home, away or draw, taken from Flashscore's own result. Empty until the result is decided, and for postponed, cancelled, interrupted and abandoned matches. For walkovers and retirements it names the side that went through. Always empty for golf stroke play.
method	Boxing only: how and in which round the bout ended, e.g. TKO/7 or points/10.
updated_at	When Flashscore last updated the score. Filled for live matches and most finished ones; empty before kick-off and for some finished matches, so don't rely on it.
scraped_at	When the row was collected.
statistics	With include_statistics: one entry per stat and period, with period (Match, 1st Half, 2nd Half, or a sport's own periods), section (e.g. Top stats, Shots; empty where the sport has none), name, home and away. Filter on period: "Match" for full-match values.
incidents	With include_incidents: one entry per person involved, in match order, with period, minute, side, type (e.g. Goal, Assistance, Yellow Card, Substitution - Out, Substitution - In, Goal Disallowed), player, player_id, detail (e.g. the card reason) and the running home_score/away_score where the incident has one. A goal and its assist, or the two players in a substitution, are separate entries with the same minute.
lineups	With include_lineups: home_formation, away_formation and players, each with name, player_id, side (home/away), section (Starting Lineups, Substitutes, Coaches, or the lines in hockey), shirt_number and rating (where Flashscore rates players).

The three detail fields are empty for competitions Flashscore doesn't publish detail for.

League table rows (entity: "standing") carry sport, country, league, league_id, season_id, group (only for tables split into groups), rank, team, team_id, played, wins, draws, losses, goals_for, goals_against, points and scraped_at.

How much does it cost to scrape Flashscore?

The Actor is priced per result: $0.001 per result, plus $0.00005 per run start at the default 1 GB of memory (the start fee is charged per GB). That works out to about $1.00 per 1,000 results. One match is one result, and one team in a league table is one result.

Run	Results	Cost
Football + tennis today (the prefilled input)	up to 400	about $0.40
Football, a weekend day, max_matches_per_day raised to 2,000	~1,000–1,500	about $1.00–$1.50
Live check, one sport, max_matches_per_day: 50	50	about $0.05 per run

Turning on statistics, timeline or lineups does not add results: each enriches a match row that was already going to be pushed. It does add one request per match, so the run takes longer.

A sport and day that returns nothing adds no result charges (only the run's small start fee applies). It is listed in the FAILED_INPUTS record of the run's key-value store instead, with the reason.

Apify's free plan includes $5 of monthly platform credit, which covers about 5,000 results.

Tips for faster, cheaper runs

• max_matches_per_day is your cost control. A weekend day of football alone can list over 1,500 matches.
• For live scores, schedule short runs with days_from: 0, days_to: 0 and filter for status: live.
• A match close to midnight is listed on both neighbouring days. A multi-day run keeps only the first copy, so you're never charged twice.
• Statistics and lineups are only published for the bigger competitions. Smaller leagues return matches and scores but no detail. That comes from Flashscore, not from a failed run.
• League tables only make sense for league competitions. Knockout cups and individual sports return little or nothing.

FAQ, disclaimers and support

How far back can I go? Seven days either side of today, up to 7 days per run. For deeper history, schedule a daily run and accumulate the results.

Does it cover live matches? Yes. status is live while a match is in progress, with the score as it stands.

Which sports have xG? Football, mainly. Other sports carry their own statistics.

Why does a run say some feeds "gave nothing"? Either nothing was scheduled (an answer, and the run succeeds) or Flashscore refused the request. The status message counts both kinds, and the FAILED_INPUTS record lists each sport-day or league table with its reason. A run only fails when every sport-day was refused.

Is it legal to scrape Flashscore? This Actor only reads publicly available scores and fixtures. Flashscore's terms of use restrict automated access and commercial reuse of its data, so you are responsible for how you use the results. Check those terms, and take legal advice before redistributing the data commercially. Lineups and timelines contain player names, which may count as personal data in some jurisdictions.

Known limitations: the date range is limited to a week either side of today, and detail exists only where Flashscore publishes it. If Flashscore changes its data format, runs may fail until the Actor is updated.

Found a problem or want a field added? Open an issue on the Actor's Issues tab. Need a custom sports-data pipeline? Get in touch through the same tab.