Football Scores Scraper: Live Fixtures, Results & Team Data for 11 European Leagues ⚽

Extract live football/soccer data — today's fixtures, results over a date range, or a full team profile (summary, squad, results, upcoming) — across 11 top European competitions with transparent event-based pricing. Perfect for sports dashboards, betting-odds research, fan apps, and match-data pipelines.

💰 Price: $0.0075 flat per run + $0.016/query (today's matches, each day of a range, or a team's squad/results/upcoming) or $0.05/query (a team's summary) + $0.0007/dataset item 🏆 Coverage: 11 competitions, 214 teams — Süper Lig, 1. Lig, Premier League, Championship, LaLiga, Serie A, Bundesliga, Ligue 1, Eredivisie, Liga Portugal, UEFA Europa League 📊 Data: Fixtures with live status/score, team summary, squad, results, upcoming fixtures 🎯 3 Modes: Today's matches, results by date range (up to 31 days), or team info 🛡️ Event-Based Pricing

Quick Navigation

• Football Scores Scraper: Live Fixtures, Results & Team Data for 11 European Leagues ⚽
  • Quick Navigation
  • ℹ️ Disclaimer About This Football Scores Scraper
  • 🧭 What Does Football Scores Scraper Do?
  • Core Extraction Capabilities
    • 📅 Today's Matches
    • 📊 Results by Date Range
    • 👕 Team Info
  • 🐉 Features and Functionality
    • Core Features
  • 💰 Pricing: Transparent Event-Based Costs
  • Pricing Structure
    • How Pricing Works
    • 💵 Real-World Pricing Examples
  • 🎎 Who Needs This?
  • 🍚 Input Parameters
    • option
    • Option 1 — Today's matches
    • Option 2 — Results by date range
    • Option 3 — Team info
    • Everything else
    • 💡 Input Strategy Guide
  • 📦 Output
    • Today's matches / Results by date range
    • Team info
    • No data found
  • 🧩 Custom Map Function
  • ⚙️ How It Works
  • 🔧 Configuration
  • 🔧 Troubleshooting
    • ❓ Getting Few or No Results?
    • 💰 Unexpected Costs?
    • 💡 Want to Minimize Costs?
    • 🈳 Missing Team Data?
  • 📞 Contact

🧭 What Does Football Scores Scraper Do?

This actor fetches football/soccer data for 11 top European competitions and pushes it to your dataset as structured JSON — no browser automation, no HTML parsing, no proxies to manage. Pick one of three modes (option) and it queues exactly the requests that mode needs, respecting your maxItems cap and pay-per-event budget as it goes.

Core Extraction Capabilities

📅 Today's Matches

Every match being played today across all 11 competitions, or narrowed down to specific leagues. Each match reports its live status and, once kicked off, its running score.

📊 Results by Date Range

The same fixture data as above, but for every day across a range (capped at 31 days per run — each day is its own query and its own charge), optionally filtered to specific leagues and/or teams.

👕 Team Info

Pick one or more of the 214 supported teams and get each one's full profile in one go — summary, squad, past results, and upcoming fixtures — no separate view picker needed.

🐉 Features and Functionality

Core Features

Feature	Description	Benefit
💰 Event-Based Pricing	Pay only for the queries and dataset items you actually generate	Cost control: no subscriptions, no monthly fees
🎯 3 Focused Modes	Today's matches, date-range results, or team info — one clear choice per run	No wasted queries on data you didn't ask for
🔤 Name-Based Dropdowns	Pick leagues/teams by name, not by hunting down internal ids	Faster setup, no external lookup needed
⚽ Live Match Status	not_started / in-progress / ended, with scores once available	Build a live scoreboard without polling logic of your own
👥 Full Team Profiles	Summary + squad + results + upcoming in one selection, no extra config	One click gets everything about a team
🔧 Custom Map Function	JavaScript function to reshape or enrich output on-the-fly	Shape results to match your exact requirements
💵 Budget-Aware	Every query and dataset item is checked against the run's charge budget before it's spent	A run stops cleanly instead of overspending

💰 Pricing: Transparent Event-Based Costs

Pay-per-event pricing — no subscription, no hidden fees. Every query is charged once up front; every dataset item is charged as it's pushed.

Pricing Structure

Event	Price (USD)	Charged For	Best For
🚀 Actor Start	$0.0075	Once per run, regardless of input	N/A — a flat, unavoidable run fee
📋 List Query	$0.016	Today's matches, each day of a date range, and a team's squad/results/upcoming	Bulk fixture data, team squads/history
👤 Single-Item Query	$0.05	A team's summary	Quick team lookups
📊 Dataset Item	$0.0007	Each match / squad entry / result / upcoming fixture actually stored	Scales with how much data you keep

Apify Console setup (pay-per-event)

When configuring this actor's pricing in the Apify Console's "Set up monetization" wizard, four events need to exist, exactly like this:

Event name (exact)	Reserved?	Title	Description	Price
apify-actor-start	✅ yes	Actor Start	Charged once when the Actor starts running, regardless of input.	$0.0075
apify-default-dataset-item	✅ yes	Result	Charged for every item pushed to the default dataset.	$0.0007
single-item-query	custom	Single-item query	A single-record lookup — currently only a team's summary.	$0.05
list-query	custom	List query	A list/table/feed query — today's matches, each day of a range, or a team's squad/results/upcoming.	$0.016

The first two are Apify's reserved event names — the Console pre-fills them (non-editable) and bills them automatically the moment the run starts / an item hits the default dataset, independent of anything this actor's code reports. Ignore the wizard's own example price for the apify-default-dataset-item card (it defaults to a placeholder like $0.00001) — enter $0.0007 to match this actor's actual pricing. The last two are ordinary custom events you add yourself via "+ Add another event".

These four names/prices must stay in sync with src/services/subscription/events.js — that file is the source of truth this actor's own budget bookkeeping reads from.

How Pricing Works

Every run starts with a flat $0.0075 Actor Start charge, regardless of mode or input, then adds:

Today's matches: One list-query charge ($0.016) for the day, plus one dataset item ($0.0007) per match returned.

Results by date range: One list-query charge per day in the range (up to 31 days) — a 7-day range is 7 separate $0.016 charges — plus $0.0007 per match across all those days.

Team info: Each selected team queues 4 queries: 1 single-item query for summary ($0.05) + 3 list queries for squad, results, upcoming ($0.016 each = $0.048) — $0.098 per team before any dataset items — plus $0.0007 per squad player / past result / upcoming fixture returned.

💵 Real-World Pricing Examples

Use Case	Configuration	Total Cost	Breakdown
Quick scoreboard check	Today's matches, all leagues (64 matches on a real test day)	$0.0683	$0.0075 + $0.016 + (64 × $0.0007)
Single-league scoreboard	Today's matches, 1 league filter (~6 matches)	$0.0277	$0.0075 + $0.016 + (6 × $0.0007)
Weekly results digest	7-day date range, all leagues (~450 matches/week)	$0.4345	$0.0075 + (7 × $0.016) + (450 × $0.0007)
Full month of results	31-day date range, all leagues (~2,000 matches)	$1.9035	$0.0075 + (31 × $0.016) + (2,000 × $0.0007)
Single team deep-dive	1 team, full profile (~50 combined squad/results/upcoming items)	$0.1405	$0.0075 + $0.098 (4 queries) + (50 × $0.0007)
Multi-team scouting	10 teams, full profiles (~500 combined items)	$1.3375	$0.0075 + (10 × $0.098) + (500 × $0.0007)

Match/item counts vary day to day and team to team — the 64-match "quick scoreboard" row is from a real run; the rest are illustrative at similar volumes.

🎎 Who Needs This?

• Sports dashboard builders: Live scoreboards and results feeds without polling a scraper yourself.
• Fan / fantasy-football apps: Team squads, upcoming fixtures and results to power app content.
• Betting-odds & sports-data researchers: Structured match and team datasets for modeling.
• Content & media sites: Automated match-day and weekly results roundups.
• Data analysts: Historical results across a date range for trend/performance analysis.

🍚 Input Parameters

option picks which of the three modes actually runs — fields under the other two are ignored, so it's safe to leave stale values in them.

option

Value	Runs
todayMatches (default)	Option 1 — Today's matches
dateRange	Option 2 — Results by date range
teamInfo	Option 3 — Team info

Option 1 — Today's matches

Field	Description
todayLeagues	Optional league dropdown (11 competitions). Empty = every league.

Option 2 — Results by date range

Field	Description
dateRangeFrom / dateRangeTo	Both required when option is dateRange. Capped at 31 days per run.
dateRangeLeagues	Optional league dropdown. Empty = every league.
dateRangeTeams	Optional team dropdown. Empty = every team.

Option 3 — Team info

Field	Description
teams	Team dropdown (multi-select), covering 214 teams across Süper Lig, 1. Lig, Premier League, Championship, LaLiga, Serie A, Bundesliga, Ligue 1, Eredivisie, Liga Portugal and the UEFA Europa League. Each selected team returns its summary, squad, results and upcoming fixtures — no separate view picker. Required (at least one) when option is teamInfo.

Everything else

Field	Description	Default
maxItems	Max dataset items for the whole run. 0/empty = unlimited.	1000
customMapFunction	(object) => object applied to every item. Must not be used for filtering.	(none)

💡 Input Strategy Guide

Just want a live scoreboard? Use todayMatches with no league filter — one $0.016 query gets every match being played today across all 11 competitions.

Building a results archive? Use dateRange and set dateRangeLeagues/dateRangeTeams to narrow it down — filtering happens after the fetch, so it reduces stored items (and their $0.0004 charges) but not the per-day query cost.

Researching specific clubs? Use teamInfo with exactly the teams you need — each team is a fixed $0.098 in query charges regardless of squad size, so batch every team you're interested in into one run rather than several small ones.

📦 Output

Output is stored in a dataset. Every item carries queryType (which query produced it) and inputSource (the date/id that was queried) — everything else is the underlying data untouched.

Today's matches / Results by date range

One dataset item per match:

{
  "fixtureID": "72478582",
  "competitionID": "8",
  "competitionName": "LaLiga",
  "countryName": "Spain",
  "seasonID": "142176",
  "homeTeamID": "2818",
  "homeTeamName": "Rayo Vallecano",
  "awayTeamID": "2814",
  "awayTeamName": "Espanyol",
  "status": "not_started",
  "startTime": "2026-09-15T17:00:00Z",
  "queryType": "todayMatches",
  "inputSource": "2026-09-15"
}

status is not_started, in progress, or ended (with score fields present once a match has kicked off). queryType is "todayMatches" or "dateRangeResults"; inputSource is the date that produced the row.

Team info

One dataset item per view per team (queryType one of team:summary, team:squad, team:results, team:upcoming; inputSource is the team id):

{
  "teamID": "3061",
  "teamFullName": "Galatasaray Istanbul",
  "teamName": "Galatasaray",
  "countryName": "Turkey",
  "queryType": "team:summary",
  "inputSource": "3061"
}

The exact fields vary by view — inspect a run's dataset to see them all, or use customMapFunction to reshape what you need.

No data found

A query that comes back empty is still stored, so your run's item count always matches what you asked for:

{ "noResults": true, "queryType": "team:results", "inputSource": "3061" }

🔧 Troubleshooting

❓ Getting Few or No Results?

• ✅ Check maxItems — the run stops once it's reached
• ✅ Check the charge budget — a run that can't afford another dataset item stops cleanly rather than erroring
• ✅ For dateRange, confirm both dateRangeFrom and dateRangeTo are set (both are required)
• ✅ For teamInfo, confirm at least one team is picked in teams

💰 Unexpected Costs?

Remember: every run charges a flat $0.0075 Actor Start fee once, no matter what you ask for. On top of that, team info always queues 4 queries per team (1 summary + 3 list queries = $0.098) regardless of how much data comes back — picking 10 teams costs at least $0.98 in queries alone, before any dataset items.

💡 Want to Minimize Costs?

• ✅ Use todayLeagues/dateRangeLeagues/dateRangeTeams filters to reduce stored items (dataset-item charges) — note this doesn't reduce the per-day query charge for dateRange
• ✅ Keep date ranges as short as you actually need — every extra day is another $0.016 query
• ✅ Set maxItems to a hard cap matching your budget

🈳 Missing Team Data?

team:squad / team:results / team:upcoming can legitimately come back empty for a team with no current squad data, no past results yet this season, or no fixtures scheduled — this is stored as { noResults: true, ... }, not an error.

📞 Contact

Reach out to the maintainers directly for support.

• ✉️ Email: batscrape@gmail.com
• 💬 Discord: discord.com/invite/ZRANXwhWU
• 🐦 X (Twitter): x.com/batscrape
• 🛒 Apify: apify.com/batscrape