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URL: https://apify.com/bovi/sofascore-live-events

⇱ Sofascore API Scraper β€” Live Scores by Sport & Date Β· Apify


πŸ‘ Sofascore Scraper β€” Live Scores, Events & Results | $1.9/1K avatar

Sofascore Scraper β€” Live Scores, Events & Results | $1.9/1K

Pricing

from $1.84 / 1,000 events

Go to Apify Store

Sofascore Scraper β€” Live Scores, Events & Results | $1.9/1K

Scrape Sofascore live scores, scheduled events and results by sport and date. Returns teams, score, status (live/finished/scheduled), start time, tournament, country, event ID and URL. Football, basketball, tennis, baseball and 15+ sports supported.

Pricing

from $1.84 / 1,000 events

Rating

0.0

(0)

Developer

πŸ‘ Vitalii Bondarev

Vitalii Bondarev

Maintained by Community

Actor stats

0

Bookmarked

12

Total users

5

Monthly active users

2 days ago

Last modified

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Sofascore Scraper β€” Live Scores, Events & Results

Extract live scores, scheduled fixtures and results from Sofascore for 18+ sports β€” football, basketball, tennis, baseball, hockey, and more.

Ideal for live odds models, sports data feeds, betting analytics pipelines, and match-tracking applications.


Use cases

  • Live odds & in-play betting models β€” poll live scores and match minute in real-time
  • Sports data feeds β€” collect daily fixture/result data across dozens of leagues
  • Betting analytics β€” compare pre-match schedules vs. final results
  • Fantasy sports automation β€” track scores and status across multiple events
  • Research & journalism β€” pull historical results or monitor ongoing tournaments

What you get

FieldDescription
home_team / away_teamFull team names
home_score / away_scoreCurrent scores (null = not yet played)
home_score_period1/2Period-level breakdown (halves, quarters, sets)
statusscheduled / live / finished / postponed / cancelled
status_descriptionSofascore label: 1st half, Halftime, 2nd half, etc.
live_minuteIn-game minute for live events
start_timeISO-8601 UTC kickoff time
tournament / league / countryCompetition hierarchy
round / round_nameRound number + name
event_id / event_urlSofascore IDs and direct link
parse_confidenceData quality: 1.0 = full API data

Sample output

{
"event_id":"16092698",
"event_url":"https://www.sofascore.com/japan-south-africa/VsaMsas#id:16092698",
"sport":"football",
"country":"World",
"tournament":"International Friendly Games, Women",
"league":"International Friendly Games, Women",
"tournament_id":"1361",
"round":null,
"round_name":"",
"home_team":"Japan",
"away_team":"South Africa",
"home_team_id":"5781",
"away_team_id":"38024",
"home_score":0,
"away_score":1,
"home_score_period1":0,
"away_score_period1":1,
"home_score_period2":0,
"away_score_period2":0,
"status":"live",
"status_code":8,
"status_description":"2nd half",
"live_minute":72,
"start_time":"2026-06-09T08:00:00+00:00",
"start_timestamp":1749456000,
"scraped_at":"2026-06-09T10:31:00+00:00",
"parse_confidence":1.0
}

Input

FieldTypeDefaultDescription
sportselectfootballSport slug: football, basketball, tennis, baseball, hockey…
modeselectby-dateby-date = all events on a given date; live = in-play events only
datestringtoday UTCDate filter YYYY-MM-DD. Only used in by-date mode.
statusFilterselectallFilter by scheduled, live, finished, or all
maxItemsinteger100Maximum records to return (0 = unlimited)
proxyConfigurationproxyRESIDENTIALApify RESIDENTIAL proxy (billed to your run)

Tip: by-date mode is the most reliable β€” it returns events regardless of time of day and is the best choice for scheduled pipelines.


Supported sports

Football/Soccer, Basketball, Tennis, Baseball, Ice Hockey, Volleyball, Handball, American Football, Rugby, Cricket, Badminton, Table Tennis, Cycling, Golf, MMA, Boxing, Snooker, Darts


Technical notes

  • Transport: the actor renders Sofascore's server-rendered fixtures page through a resilient managed-access browser and reads each match straight from the page β€” teams, score, status, minute, kick-off, tournament and country. No buyer API key, no buyer proxy account required.
  • Access: a protected target β€” handled server-side by the managed-access layer, so runs stay reliable without any setup on your side.
  • Reliability: popular matches are additionally enriched from the page's embedded data (team ids, exact kick-off timestamp, round) for a fuller record; live scores and status always reflect the real-time page.
  • Live fallback: when live mode finds 0 in-play events (off-peak hours), the actor automatically returns today's full schedule.
  • Pricing: pay per event item returned.

πŸ’° Pricing & how we compare

Pay-per-result (PPE): $0.99 / 1K results. You are billed per event-item actually returned β€” plus the tiny apify-actor-start fee Apify waives for short runs. No subscription, no API key, no proxy fee on top.

Our edge: Cheapest credible PAID Sofascore source Β· live + scheduled by sport & date Β· 15+ sports Β· no API key.

Pricing examples (pay only for what you get, minus Apify's 20%):

VolumeCost
100 results$0.10
1,000 results$0.99
10,000 results$9.90

How rivals price the same job (live Apify Store, checked 2026-06-09)

ActorTheir priceWhat they lack vs us
parseforge/sofascore-live-scraper$33.50/1K100% success but ~34Γ— our price per result
maximedupre/sofascore-live-events-scraper$30.15/1K~30Γ— our price
azzouzana/sofascore-scraper-proFREE569 users, but free tier = no support guarantee, URL-only input

Prices above are competitors' live Store prices at the time of writing; ours is set to sit just below the strongest comparable while returning richer, quality-scored data.

πŸ€– Use with AI agents (MCP)

This actor is agent-ready (category MCP_SERVERS). Point any MCP client (Claude Desktop, Cursor, n8n AI, LangGraph) at it:

{
"mcpServers":{
"apify":{
"url":"https://mcp.apify.com/?actors=bovi/sofascore-live-events",
"headers":{"Authorization":"Bearer <YOUR_APIFY_TOKEN>"}
}
}
}

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Building a data pipeline? These actors pair well with this one β€” each runs on your own Apify account with the same pay-per-result pricing, no subscription:

Chain any of them together from the Integrations tab (the Run succeeded trigger) to build a multi-step workflow β€” one actor's output feeds the next.

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