Flashscore Scraper 🗂️ — Scrape Flashscore.com Type, Event ID, Sport, Competition

Flashscore Scraper — Scrapes fixtures, results and live scores, league standings and full match detail (lineups, incidents, per-match statistics) from the Flashscore mobile API. Read-only public sports data. It reads Flashscore's own API directly, so it's fast, reliable and complete — no flaky HTML parsing, no headless browser. Export to JSON, CSV, Excel, or an API.

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✨ Why use this Flashscore Scraper?

• 🟢 No code required — set your input, click Start, download your data.
• ⚡ Fast & accurate — reads Flashscore's own private API and returns structured JSON, not scraped HTML.
• 🧾 Rich, structured data — every field below, clean and ready to use.
• 🔁 Full pagination — collects results to your maxItems cap.
• 💸 Transparent pay-per-result pricing — pay only for the rows you get.
• 📤 Export anywhere — JSON, CSV, Excel, XML, or pull it live via the Apify API.

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🎯 What can you do with Flashscore data?

• Market & competitor research — analyse Flashscore records at scale.
• Price & availability monitoring — track changes over time.
• Data science & trend analysis — build clean datasets.
• Lead generation & enrichment — feed Flashscore data into your own tools.

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📥 What data does the Flashscore Scraper extract?

Each row includes: type, id, sport, competition_name, competition_id, competition_country, competition_stage_id, competition_tournament_id, competition_path, home_team, away_team, home_score, away_score, status …and more. See the full Data table below.

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🚀 How to scrape Flashscore.com (3 steps)

1. Set your input — provide sport or date (see the table below; defaults work out of the box).
2. Pick options — filters, a proxyConfiguration, and a maxItems cap.
3. Run & export — click Start, then download the dataset as JSON/CSV/Excel or fetch it via the API.

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⚙️ Input

Field	Type	Default	Description
sport	enum	football	Sport to fetch fixtures for. — one of football, tennis, basketball, hockey, volleyball, handball, baseball, american-football, rugby, cricket
date	string	–	Match date as YYYY-MM-DD (e.g. 2026-08-22). Empty = today.
dayOffset	integer	0	Days from today: 0=today, 1=tomorrow, -1=yesterday. Overrides Date when non-zero.
timezone	integer	0	Feed timezone index (0 = UTC).
maxItems	integer	100	Maximum matches (or standings rows) to return (0 = all).
includeMatchDetail	boolean	false	Fetch full detail (lineups, incidents, per-match statistics) for each started match. Slower — adds 2 API calls per match.
detailConcurrency	integer	8	How many match-detail requests to run in parallel when includeMatchDetail is on (max ~20).
standingsCompetition	string	–	Competition name to fetch the league table for (e.g. "Premier League"). Empty = skip standings and return matches instead.
standingsTab	enum	overall	Table view: overall (default), home, away or form. — one of overall, home, away, form
proxyConfiguration	object	Apify Proxy	Route requests through a proxy (Apify Proxy by default).

Example input

{
  "sport": "football",
  "dayOffset": 0,
  "timezone": 0,
  "maxItems": 100,
  "includeMatchDetail": false,
  "detailConcurrency": 8,
  "standingsTab": "overall",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

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📤 Output

Each result is a JSON object like this:

{
  "type": "match",
  "id": "fDbSvphd",
  "sport": "football",
  "competition_name": "Premier League",
  "competition_country": "England",
  "home_team": "Racing Club",
  "away_team": "Boca Juniors",
  "home_score": 1,
  "away_score": 1,
  "status": "finished",
  "round": "Round 6",
  "start_time_utc": "2026-08-24T00:30:00+00:00",
  "home_team_image": "https://static.flashscore.com/res/image/data/6T5YTkZA-OCiVKiPK.png",
  "away_team_image": "https://static.flashscore.com/res/image/data/h4UwH8Cr-pGZDw.png"
}

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🧾 Data table

Field	Type	Description
type	text	Type
id	text	Event ID
sport	text	Sport
competition_name	text	Competition
competition_id	text	Competition ID
competition_country	text	Country
competition_stage_id	text	Stage ID
competition_tournament_id	text	Tournament ID
competition_path	text	Competition path
home_team	text	Home team
away_team	text	Away team
home_score	number	Home score
away_score	number	Away score
status	text	Status
result_status	number	Result status
round	text	Round
start_time_utc	text	Start time (UTC)
last_update_time_utc	text	Last update (UTC)
home_team_image	link	Home team image
away_team_image	link	Away team image
tv_channels	array	TV channels
lineups	object	Lineups
incidents	array	Incidents
statistics	array	Statistics
standings_tab	text	Standings tab
position	number	Position
team_name	text	Team
team_id	text	Team ID
team_slug	text	Team slug
played	number	Played
wins	number	Wins
goals_for	number	Goals for
goals_against	number	Goals against
points	number	Points
qualification	text	Qualification

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💰 Pricing — pay per result

This actor uses pay-per-event pricing: you pay only for the rows it delivers.

You scrape	Price
Match	$0.10 per 1,000 rows
Standing	$0.10 per 1,000 rows

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🔌 Use the Flashscore Scraper via API

Run it programmatically with the Apify API:

curl -X POST "https://api.apify.com/v2/acts/flashscore-api-scraper/runs?token=YOUR_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{
  "sport": "football",
  "dayOffset": 0,
  "timezone": 0,
  "maxItems": 100,
  "includeMatchDetail": false,
  "detailConcurrency": 8,
  "standingsTab": "overall",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}'

Or with the Apify CLI: apify call flashscore-api-scraper -i input.json -o.

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❓ FAQ

Do I need an account or API key for Flashscore?

No. The actor talks to Flashscore's public/mobile API for you — you only need an Apify account.

Do I need a proxy?

A proxy is recommended for reliable runs; set proxyConfiguration (Residential is safest for geo-restricted or bot-protected sites).

What export formats are supported?

JSON, CSV, Excel, XML, JSONL, RSS, or live via the Apify API and dataset endpoints.

Is scraping this legal?

You are responsible for how you use the data. Scrape only public record data and comply with Flashscore.com's Terms and applicable law (e.g. GDPR/CCPA for personal data).

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🛠️ How it works

The actor impersonates Flashscore's official app/site and calls its private API the same way the app does, then normalises each response into the flat record above. No browser, no HTML scraping — just clean, structured data.

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📌 Good to know

• Scrape only public record data and respect Flashscore.com's Terms of Service and robots policy.
• For personal data, comply with GDPR/CCPA and applicable law — you are the data controller.
• Fields can be null when Flashscore doesn't expose them for a given record.

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⭐ Found this useful?

Give the Flashscore Scraper a star on Apify and check out my other apify-*-api-scraper actors.

Standings: what this returns vs the website

Verified row-by-row against flashscore.com's Premier League table — position, team, MP, W, goals for/against and PTS all match the site exactly, in the same order, for all 20 rows.

Two website columns are not included, because the app's standings feed does not carry them (its own column set is # TEAM MP G PTS; every to_ tab variant returns the same):

• D / L (draws, losses). Derivable only by assuming 3-points-for-a-win, which does not hold for every competition Flashscore covers. Guessing would be right most of the time and silently wrong the rest, so they are omitted rather than fabricated.
• FORM (last 5). Not in this feed.

GD is included — it is exact arithmetic from goals for/against, no assumption needed.