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⚽ Flashscore Sports Data API

58 record types · 40 sports · 18 modes — one actor.

Live scores, fixtures, results, stats, lineups, H2H, standings, team & player profiles, transfers, injuries, odds from 130+ bookmakers, rankings, news — normalized, deduplicated, warehouse-ready from $0.001/result.

Why this instead of the 10+ fragmented actors on Apify?

Search Apify for "flashscore" and you'll find a dozen actors that each do one thing — live football, basketball live, tennis fixtures, team stats, H2H, results… each with its own schema, its own scheduling, its own monitoring.

This actor replaces all of them.

Try it in 30 seconds

Two ways to start cheaply:

• Apify free tier — small experiments typically cost $0.02–$0.04.
• Estimate first, pay later — add "dryRun": true to any input. The actor returns the projected cost in RUN_SUMMARY.estimatedBillingEvents with zero data charges.

Empty input → live football matches, safe defaults:

{}

Today's fixtures across any sport:

{
"mode":"matchesByDate",
"sports":["football"],
"dateFrom":"2026-05-22",
"dateTo":"2026-05-22",
"maxItems":200
}

Full match details — events + stats + lineups in one bundled record ($0.008):

{
"mode":"matchDetails",
"targetUrls":["https://www.flashscore.com/match/<id>/"],
"include":{"events":true,"statistics":true,"lineups":true}
}

What you get

40 supported sports: football, tennis, basketball, hockey, american-football, baseball, handball, rugby, cricket, golf, darts, snooker, boxing, mma, motorsport, cycling, esports, volleyball, beach-volleyball, badminton, table-tennis, field-hockey, water-polo, aussie-rules and 16 more.

Odds: 130+ bookmakers, 48 markets

No other Flashscore actor on Apify comes close. The default primary preset returns 20 mainstream international bookmakers in a single record per match. Scale up as needed:

Enable with "include": {"odds": true}. Each preset costs $0.005 per match per geo.

Real-world cost examples

Add "dryRun": true to any input to get a projected cost estimate at zero charge before committing.

Use it from your app

Node.js

import{ ApifyClient }from'apify-client';
const client =newApifyClient({token: process.env.APIFY_TOKEN});
const run =await client.actor('joaobrito/flashscore-sports-data-api').call({});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
const live = items.filter(row=> row.recordType ==='match_basic');
console.log(`${live.length} live matches`);
// { recordType, matchId, homeTeamName, awayTeamName, homeScore, awayScore, status, ... }

Python

from apify_client import ApifyClient
import os
client = ApifyClient(token=os.environ["APIFY_TOKEN"])
run = client.actor("joaobrito/flashscore-sports-data-api").call(run_input={})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
if item["recordType"]=="match_basic":
print(item["homeTeamName"],"vs", item["awayTeamName"], item["status"])

Get your APIFY_TOKEN at console.apify.com/account/integrations.

What a record looks like

Every record carries recordType, source, sourceUrl, scrapedAt, schemaVersion, and a stable dedupeKey — safe to replay, trivial to upsert into Postgres, BigQuery, or Snowflake.

{
"recordType":"match_basic",
"source":"flashscore",
"sport":"football",
"matchId":"4I23FiTQ",
"country":"England",
"competitionName":"Premier League",
"startTime":"2026-05-22T19:00:00.000Z",
"status":"1st Half",
"statusCategory":"live",
"homeTeamName":"Home FC",
"awayTeamName":"Away FC",
"homeScore":1,
"awayScore":0,
"scrapedAt":"2026-05-22T19:23:45.000Z",
"schemaVersion":"2.0.0",
"dedupeKey":"match_basic:football:4I23FiTQ"
}

statusCategory is a cross-sport bucket (scheduled · live · paused · finished · postponed · cancelled) so you filter consistently across all 40 sports with the same field.

All 18 modes

Controls

Build a historical archive

Use Apify Scheduler to run this actor on a daily or hourly cron. The dataset accumulates across runs and the dedupeKey on every record makes upserts trivial — you get a clean, append-only historical table even though the actor only scrapes the present. A daily matchesByDate job over a few months gives you a solid fixture-and-result archive for backtesting.

Know before you buy

• Latency: 1–3 seconds wall-clock per request, polling-based. Not suitable for sub-second live trading or WebSocket push feeds.
• No SLA: best-effort unofficial extractor. Build retries and a cached fallback into your pipeline.
• Cross-run billing: re-running the actor against the same matches re-bills per the Apify PPE model — dedupeKey is for your upsert idempotency, not for skipping charges.
• Public data only: no login bypass, no CAPTCHA, no paywall.

Support

Open an issue on the Apify Actor page:

Run ID:
Input used:
Affected URL or matchId:
Expected vs. actual:
RUN_SUMMARY warning category(if any):

Unofficial extractor. Not affiliated with, endorsed by, or sponsored by Flashscore or Livesport.