Flashscore Scraper - Results, Fixtures & Live Scores

What is Flashscore Scraper?

Flashscore Scraper lets you extract match results, upcoming fixtures and live scores from Flashscore across 28 sports, helping you build a sports results database, back-test a betting or fantasy model, and keep a scoreboard, app or newsletter fed without paying for a sports data API.

• Build a results database in one run: pick your sports and a date range and get every match Flashscore lists worldwide, with the competition, the country, the UTC kick-off time, the final score and the winner. A single run over a week of football, tennis, basketball, hockey and nine other sports returned 8,951 matches across 931 competitions and 129 countries in 17 seconds.
• Back-test with period-level detail: every finished match carries the score broken out by period, so you get half-time football scores, tennis sets with tie-break points, basketball quarters, hockey periods, volleyball sets and baseball innings, not just the final line.
• Track fixtures before they happen: the same run returns the schedule up to 7 days ahead, so you can pre-build a slate, publish a fixture list, or line up which matches to watch.
• Follow live matches: matches in progress come back flagged isLive with the score as it stands, so a scheduled run every few minutes is a live scoreboard.
• One actor for every sport: football, tennis, basketball, hockey, baseball, cricket, darts, MMA and 20 more. Most Flashscore scrapers on the Store cover one sport, which means one subscription per sport and one output shape per sport. This is one input, one schema, one price.

Flashscore has no public API and no export button. Its own site shows one sport and one day at a time.

What data does Flashscore Scraper extract?

• ⚽️ Sport and Flashscore sport id (sport, sportSlug, sportId)
• 🏆 Competition name, category and stage (competition, competitionCategory, competitionStage)
• 🌍 Country or region of the competition (country)
• 🔗 Direct link to the competition page (competitionUrl)
• 📅 Match date and exact kick-off time in UTC (matchDate, startTime, startTimestamp)
• 🚦 Status: scheduled, live or finished (status), plus the live flag (isLive)
• 🏠 Home team or player, short code and id (homeTeam, homeTeamShort, homeTeamId)
• 🛫 Away team or player, short code and id (awayTeam, awayTeamShort, awayTeamId)
• 🖼 Crest or photo URL for both sides (homeTeamLogo, awayTeamLogo)
• 🇺🇳 Nationality of both players in individual sports (homeTeamCountry, awayTeamCountry)
• 🔢 Final or live score for both sides (homeScore, awayScore)
• 🥇 Winner: home, away or draw (winner)
• 📊 Score by period, with tie-break points where the sport has them (periodScores)
• ✅ Whether the match actually produced a result (hasResult), so postponed and abandoned games are not read as 0-0
• 📝 Aggregate and extra-time notes such as "First leg result: 0-4. Aggregate: 0-5." (note)
• 🔗 Direct link to the match page (matchUrl)
• ⏱ When Flashscore last touched the match (lastUpdated) and when this row was scraped (scrapedAt)

How to use Flashscore Scraper

1. Click Try for free and open the input form.
2. Pick one or more Sports. Football and tennis carry by far the most fixtures.
3. Set Date from and Date to. Use a date like 2026-09-14, or a day offset like -1 for yesterday and 0 for today, which is what you want on a schedule so the input never goes stale.
4. Optionally narrow by Match status, Countries, Competitions or Teams. Filters run before billing, so you are never charged for rows your own filter removed.
5. Set Max results as your budget cap and click Start. Export to JSON, CSV, Excel or Google Sheets, or pull the dataset from the API.

Input

{
  "sports": ["football", "tennis"],
  "dateFrom": "-1",
  "dateTo": "1",
  "matchStatus": ["finished"],
  "countries": ["England", "Spain"],
  "competitions": ["Premier League", "LaLiga"],
  "maxItems": 500,
  "proxyConfiguration": { "useApifyProxy": true }
}

Every field is optional except sports. Leaving dateFrom and dateTo empty collects today.

Output

One row per match. A finished football match looks like this:

{
  "matchId": "Gz0gHEnR",
  "matchUrl": "https://www.flashscore.com/match/football/foresters-ELM3WgvF/wiliete-2kqSBS5P/?mid=Gz0gHEnR",
  "sport": "Football / Soccer",
  "sportSlug": "football",
  "country": "Africa",
  "competitionCategory": "AFRICA",
  "competition": "CAF Champions League",
  "competitionStage": "Qualification",
  "competitionUrl": "https://www.flashscore.com/football/africa/caf-champions-league/",
  "matchDate": "2026-09-10",
  "startTime": "2026-09-10T15:00:00.000Z",
  "status": "finished",
  "isLive": false,
  "hasResult": true,
  "homeTeam": "Foresters FC (Sey)",
  "awayTeam": "Wiliete (Ang)",
  "homeScore": 0,
  "awayScore": 1,
  "winner": "away",
  "periodScores": [
    { "period": 1, "label": "1st half", "home": 0, "away": 1 }
  ],
  "note": "First leg result: 0-4. Aggregate: 0-5.",
  "lastUpdated": "2026-09-10T16:54:28.000Z",
  "scrapedAt": "2026-09-11T13:58:02.104Z"
}

A tennis row carries the same shape with sets in periodScores:

{
  "sport": "Tennis",
  "competitionCategory": "ATP - SINGLES",
  "competition": "US Open (USA), hard",
  "homeTeam": "Khachanov K.",
  "awayTeam": "Blockx A.",
  "homeScore": 2,
  "awayScore": 0,
  "winner": "home",
  "periodScores": [
    { "period": 1, "label": "Part 1", "home": 6, "away": 2, "tiebreakHome": null, "tiebreakAway": null },
    { "period": 2, "label": "Part 2", "home": 7, "away": 6, "tiebreakHome": 7, "tiebreakAway": 2 }
  ]
}

Three ready-made table views ship with the dataset, so you do not have to read a 38-key blob:

• Overview - date, kick-off, sport, country, competition, both sides, score, status, winner, link
• Results only - score, winner, period breakdown and notes
• Fixtures - the schedule without any scoring columns

How much does it cost to scrape Flashscore?

A flat $0.80 per 1,000 matches. No monthly fee, no per-sport surcharge, no tiers.

Matches	Cost
1,000	$0.80
10,000	$8.00
100,000	$80.00

For scale: a full day of worldwide football is roughly 500 matches, and the week-wide 18-sport run used for the coverage table below returned 8,951 matches for $7.16.

Comparable Flashscore and sports-score actors on the Store charge $1.00 to $12.00 per 1,000, and the cheapest of them covers a single sport.

Measured coverage

Measured on 2026-09-11 over one run: 18 sports, 7 days, 8,951 matches, 126 of 126 feeds served, 931 competitions, 129 countries.

Field	Present
matchId, matchUrl, startTime, status	100%
homeTeam, awayTeam, and both ids and short codes	100%
competition, competitionCategory, competitionUrl	100%
homeTeamLogo, awayTeamLogo	92.7%
country	77.7%
competitionStage	21.9%

On the 3,426 finished matches in that run:

Field	Present
homeScore, awayScore	97.1%
winner	97.8%
periodScores	93.7%

The finished matches without a score are the postponed, cancelled and abandoned ones. They are flagged hasResult: false rather than being published as 0-0.

country is empty on tennis and table tennis, where Flashscore files competitions by tour rather than by country. Those rows carry the tour in competitionCategory instead, for example ATP - SINGLES, CHALLENGER MEN - SINGLES or ITF MEN - SINGLES. competitionStage is only populated when the competition has a named stage such as Qualification or Play Offs.

Limits

• Flashscore serves today plus or minus 7 days. Dates outside that window are trimmed and the run tells you so in the log. There is no archive access, so build history by running this on a schedule.
• Days are UTC days. A late kick-off that is Saturday night in Los Angeles lands on the Sunday feed. startTime is always an exact UTC timestamp, so the bucketing never affects the data itself.
• No lineups, statistics, odds or commentary. This actor reads the day feed, which is match-level. Player statistics and betting odds live behind separate per-match requests.
• Leaderboard sports are not covered. Golf, horse racing, motorsport and cycling are on Flashscore but are one row per competitor with no opponent, which does not fit a match row. They are deliberately excluded rather than published half-empty.
• statusCode is Flashscore's raw stage id and is passed through untranslated. status gives you scheduled, live or finished, which is the distinction that matters; the finer id (a live second half, a retirement, an abandonment) has no public label table and is not guessed at.

FAQ

Is it legal to scrape Flashscore?

This actor reads publicly available match data: fixtures, scores and competition names, the same information printed in any newspaper. Scores and results are facts and are not themselves copyrightable in most jurisdictions. No login is used, no account is needed and no personal data is collected. You are responsible for how you use the output, including complying with Flashscore's terms and with the law where you operate.

How much does Flashscore Scraper cost?

$0.80 per 1,000 matches, charged per row written to the dataset. Nothing else. The Apify free tier includes $5 of monthly usage, which is about 6,250 matches.

Can I use Flashscore Scraper as an API?

Yes. Every actor on Apify is callable over HTTP. Start a run with POST /v2/acts/cirkit~flashscore-results-scraper/runs?token=YOUR_TOKEN and read the dataset when it finishes, or use run-sync-get-dataset-items to do both in one call. See the Apify API docs.

Can I use this in Python?

Yes, with apify-client:

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("cirkit/flashscore-results-scraper").call(run_input={"sports": ["football"], "dateFrom": "-1"})
for match in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(match["homeTeam"], match["homeScore"], "-", match["awayScore"], match["awayTeam"])

How do I schedule Flashscore Scraper to run automatically?

Open the actor, go to Schedules, and add one. Set dateFrom to -1 and dateTo to -1 for a nightly job that collects yesterday's completed results, or 0 with matchStatus: ["live"] and a five-minute schedule for a live scoreboard.

Can I integrate Flashscore Scraper with other apps?

Yes. Apify connects to Zapier, Make, n8n, Slack, Google Sheets, Google Drive and Airtable, and can fire a webhook when a run finishes so your own service pulls the dataset.

Why did I get fewer results than expected?

Four usual reasons. Your Max results cap was reached, which the log says explicitly. Your date range fell partly outside the plus-or-minus-7-day window and was trimmed. A filter removed more than you expected, since Countries, Competitions and Teams are all substring matches. Or the sport genuinely has no fixtures that day, which is common in the off-season for cricket, American football and the winter sports.

Does it return live scores?

Yes. Matches in progress come back with status: "live", isLive: true and the score as it stands at the moment of the request, including the period breakdown so far. Run it on a short schedule to keep a live table current.

Which sports are supported?

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

Can I get a field that is not listed?

Ask. If Flashscore's day feed carries it, it can usually be added quickly. Fields that live behind a separate per-match request, such as lineups, shot maps or odds, are a bigger change.

Do I need proxies?

Apify Proxy is on by default with the datacenter pool, which is the cheapest option and is all Flashscore needs. Residential is available in the input if you ever want it.

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Changelog

0.1 - 2026-09-11

First release. 28 head-to-head sports, any date within today plus or minus 7 days, status, country, competition and team filters, period-by-period scores, three table views.