FotMob Scraper ⚽ Match Details, Stats, Lineups & Players

What FotMob Scraper ⚽ Match Details, Stats, Lineups & Players can do

• Seven ways to find data. Matches by id, pasted FotMob links, fixtures on any date, whole leagues, teams, players, or the latest news. No need to build URLs by hand.
• Full match depth, rival-beating. Every match record carries scores, team stats, events, lineups, flat player-stat rows, shotmaps, team form and player of the match - a superset of the best-known match-details scraper on the store.
• League, team, player and news surfaces. League tables with fixtures and seasons, team squads with form, player careers with trophies and recent matches, plus the latest football news articles - surfaces a match-only scraper cannot reach.
• Shot-level xG. The shotmap records every shot's coordinates, shooter, body part, situation and expected goals.
• Built for schedules. Incremental mode returns only new and changed records on recurring runs, and a refused run fails loudly instead of returning an empty dataset.
• Simple per-result pricing. Every record bills the same tiered rate (lower per plan tier), plus a small surcharge only for news articles whose full text was read.

Choose what to collect

These inputs let you configure FotMob Scraper ⚽ Match Details, Stats, Lineups & Players. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "type": "match",
  "id": 4506324,
  "matchId": 4506324,
  "matchName": "Aston Villa-vs-Manchester United_Sun, Oct 6, 2024, 13:00 UTC",
  "matchUrl": "https://www.fotmob.com/match/4506324",
  "leagueId": 47,
  "leagueName": "Premier League",
  "round": "7",
  "roundName": "7",
  "countryCode": "ENG",
  "matchTimeUtc": "2024-10-06T13:00:00.000Z",
  "started": true,
  "finished": true,
  "homeTeam": {
    "id": 10252,
    "name": "Aston Villa",
    "score": 0
  },
  "awayTeam": {
    "id": 10260,
    "name": "Manchester United",
    "score": 0
  },
  "venue": {
    "name": "Villa Park",
    "city": "Birmingham",
    "capacity": 42788
  },
  "referee": "Robert Jones",
  "attendance": 42682,
  "playerOfTheMatch": {
    "playerId": 268375,
    "name": "Emiliano Martinez",
    "teamName": "Aston Villa"
  },
  "teamStats": [
    {
      "group": "Top stats",
      "title": "Ball possession",
      "key": "BallPossesion",
      "home": 54,
      "away": 46
    }
  ],
  "events": [
    {
      "type": "Card",
      "minute": 3,
      "minuteLabel": "3",
      "isHome": false,
      "playerName": "Christian Eriksen",
      "card": "Yellow"
    }
  ],
  "lineups": {
    "home": {
      "teamName": "Aston Villa",
      "formation": "4-4-1-1",
      "coach": "Unai Emery"
    }
  },
  "playerStats": [
    {
      "playerId": 268375,
      "playerName": "Emiliano Martinez",
      "rating_title": 8.14
    }
  ],
  "source": "fotmob",
  "scrapedAt": "2024-10-06T00:00:00Z"
}

Ways to use this data

• Who: sports betting and odds researchers - collect team stats, xG shotmaps, head-to-head records and form to build and backtest models.
• Who: live score apps and dashboards - feed fixtures, scores, events and ratings into your own site, bot or alerting tool.
• Who: fantasy sports and scouting teams - track player ratings, positions, squads and career moves across leagues.
• Who: sports analytics and data science teams - build historical datasets of results, xG-bearing stats and lineups for machine learning.
• Who: media and content teams - generate match previews, reports and league tables automatically.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor