datagrit › Data › Football Contract Expiry Radar - Transfermarkt

Football Contract Expiry Radar - Transfermarkt

Football players whose contracts end soon, per league and expiry window, with market value, trend, agent and extension options from Transfermarkt end-of-contract lists.

Football Contract Expiry Radar lists the players whose contracts end soon, league by league, from the Transfermarkt end-of-contract lists. You choose leagues and an expiry window (for example the next six months, or a date range) and get one flat row per player: club, position, age, nationality, contract end date, days until expiry, market value with its latest trend, extension option, fee paid and agency. Export the data as JSON, CSV or Excel, call it through the Apify API, or plug it into n8n, Make and AI agents through MCP.

It is built for scouts, agents, transfer-market analysts, football-manager communities, betting and fantasy researchers who want the free-agent and renewal pipeline of a league without opening hundreds of player profiles.

What can I use the expiring contracts list for?

• Build a free-agent shortlist for the summer window: goalkeepers under 25 with a market value above 2 million euros whose contract ends within 12 months.
• Track renewal risk of a squad: players with no extension option whose contract ends in under six months, sorted by market value.
• Feed a transfer-rumour or betting model with a weekly list of new expiring contracts per league (only-new mode delivers each player once).
• Find young talent in smaller leagues: maximum age 21, any of 37 leagues, sorted by market value.
• Compare agencies: the agency of every expiring player is a flat field you can group by.

Output fields

Every result is one flat record, so it drops straight into a spreadsheet, a database or a CRM.

Sample record

{
  "playerId": "433177",
  "playerName": "Bukayo Saka",
  "playerUrl": "https://www.transfermarkt.com/bukayo-saka/profil/spieler/433177",
  "position": "Right Winger",
  "positionGroup": "Attacker",
  "dateOfBirth": "2001-09-05",
  "age": 25,
  "ageAtExpiry": 25,
  "nationality": "England",
  "nationalities": [
    "England",
    "Nigeria"
  ],
  "clubId": "11",
  "clubName": "Arsenal FC",
  "clubUrl": "https://www.transfermarkt.com/arsenal-fc/startseite/verein/11",
  "competitionCode": "GB1",
  "competitionName": "Premier League (England)",
  "contractEndDate": "2027-06-30",
  "daysUntilExpiry": 272,
  "monthsUntilExpiry": 8.9,
  "expiresWithin6Months": false,
  "endDateInPast": false,
  "contractOption": "Club option for a further year",
  "extensionOptionType": "club",
  "extensionYears": 1,
  "marketValueEur": 120000000,
  "previousMarketValueEur": 110000000,
  "marketValueTrend": "up",
  "feePaidEur": 0,
  "feeType": "free",
  "agentName": "Stellar Group",
  "agentId": "1061",
  "agentUrl": "https://www.transfermarkt.com/stellar-group/beraterfirma/berater/1061",
  "sourceUrl": "https://www.transfermarkt.com/x/endendevertraege/wettbewerb/GB1/jahr/2027/plus/1/galerie/0",
  "found": true,
  "scrapedAt": "2026-10-01T11:10:00.000Z"
}

Input

Call it from your code

Run the Actor and get the results in one request. Replace YOUR_APIFY_TOKEN with the token from your Apify account settings.

curl -X POST "https://api.apify.com/v2/acts/datagrit~football-contract-expiry-radar/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"competitions":["GB1","ES1"],"expiringWithinMonths":12,"maxItems":50}'

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('datagrit/football-contract-expiry-radar').call({
  "competitions": [
    "GB1",
    "ES1"
  ],
  "expiringWithinMonths": 12,
  "maxItems": 50
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0]);

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("datagrit/football-contract-expiry-radar").call(run_input={
  "competitions": [
    "GB1",
    "ES1"
  ],
  "expiringWithinMonths": 12,
  "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(len(items), items[0] if items else None)

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