Transfermarkt [Just 💰$0.5] — football market values

What does Transfermarkt Market Value & Transfer Scraper do?

Transfermarkt Market Value & Transfer Scraper extracts football data from transfermarkt.com: player market values with the complete dated value history, transfer records with fees, contract and agent details, full club squads with coaching staff, and competitions with club tables and league standings. Point it at player, club or competition pages — or the global market-value ranking — and export structured JSON, CSV or Excel.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• 📈 Full market-value history, not just today's value — every player ships the entire market-value curve (date, valueEUR, club, age) plus current value, all-time peak and peak date.
• 🧩 Players, clubs and competitions in one actor — player profiles, full club squads with staff, and competitions with club tables and standings — mix entity types freely in one run.
• 🔁 Complete transfer history with fees — from/to club, date, season, fee and value-at-transfer per move, plus career fee totals and a latest-transfers feed per league.
• 📊 Per-match career performance log — opt-in per-match career log — goals, assists, minutes, cards per game — plus career totals.
• ♻️ Market-value change tracking — incremental runs flag NEW / UPDATED / UNCHANGED / EXPIRED — a scheduled market-value change feed with notifications only for what moved.
• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
• 🎯 Batch searches — pass ["term1", "term2"] for query, location, or city to batch multiple searches in one run — shared dedup state, single dataset, one Actor-Start charge instead of N.
• 📦 Compact mode — AI-agent and MCP-friendly payloads with core fields only.
• 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

What data can you extract from transfermarkt.com?

Each result includes Core entity fields (entityType, id, slug, name, url, scrapedAt, searchQuery, and changeType, and more) and detail fields when enrichment is enabled (detailedPosition). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are a result limit. Additional filters and options are available in the input schema.

Key parameters:

• startUrls — Paste Transfermarkt player, club, or competition page URLs — mix entity types freely; each becomes one record.
• searchQuery — Search Transfermarkt by player name (e.g. "Haaland"). JSON array for several names.
• playerIds — Numeric player IDs — the number at the end of a profile URL (418560 = Haaland).
• clubIds — Numeric club IDs (281 = Manchester City). Each club is scraped with its squad.
• competitionCodes — Competition codes: GB1 (Premier League), ES1 (LaLiga), IT1 (Serie A), L1 (Bundesliga), CL (Champions League).
• topMarketValue — Scrape the N most valuable players in the world from the market-value ranking (0 = off). (default: 0)
• includeMarketValueHistory — Include every dated market-value data point for each player (the complete value curve, not just the current value). (default: true)
• includeTransfers — Include each player's full transfer history with fees and the market value at the time of each move. (default: true)
• includePerformanceLog — Include the player's per-match career log (goals, assists, minutes, cards per game) plus career totals. Adds extra data per player. (default: false)
• includeUpcomingMatches — Include the player's upcoming club and national-team fixtures. (default: false)
• includeSquad — Include the full squad list for each club (players with shirt number, position, age, nationality and market value). (default: true)
• includeStaff — Include the club's coaching and support staff with roles and contract dates. (default: true)
• ...and 24 more parameters

Input examples

Basic search — Fetch entities from the provided start URL.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "startUrls": [
    "https://www.transfermarkt.com/erling-haaland/profil/spieler/418560"
  ],
  "maxResults": 50
}

Incremental tracking — Only emit entities that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "startUrls": [
    "https://www.transfermarkt.com/erling-haaland/profil/spieler/418560"
  ],
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "transfermarkt-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "startUrls": [
    "https://www.transfermarkt.com/erling-haaland/profil/spieler/418560"
  ],
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured entity records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example entity record

{
  "entityType": "player",
  "id": "342229",
  "slug": "kylian-mbappe",
  "name": "Kylian Mbappé",
  "url": "https://www.transfermarkt.com/kylian-mbappe/profil/spieler/342229",
  "source": "transfermarkt.com",
  "scrapedAt": "2026-07-17T11:34:34.014Z",
  "nativeName": "Kylian Mbappé Lottin",
  "dateOfBirth": "1998-12-20",
  "age": 27,
  "placeOfBirth": "Paris",
  "birthCountry": "France",
  "citizenships": [
    "France",
    "Cameroon"
  ],
  "height": 180,
  "position": "Attack",
  "detailedPosition": "Centre-Forward",
  "foot": "right",
  "shirtNumber": "10",
  "currentClubId": "418",
  "currentClubName": "Real Madrid",
  "joinedDate": "2024-07-01",
  "contractExpiry": "2029-06-30",
  "agent": "Relatives",
  "outfitter": "Nike",
  "currentMarketValue": 180000000,
  "currentMarketValueText": "€180.00m Last update: 05/06/2026",
  "marketValueHistory": [
    {
      "date": "2015-12-02",
      "valueEUR": 50000,
      "valueText": "€50k",
      "club": "AS Monaco U19",
      "clubId": "9669",
      "age": 16
    },
    {
      "date": "2016-02-04",
      "valueEUR": 250000,
      "valueText": "€250k",
      "club": "AS Monaco",
      "clubId": "162",
      "age": 17
    },
    {
      "date": "2016-04-09",
      "valueEUR": 1000000,
      "valueText": "€1.00m",
      "club": "AS Monaco",
      "age": 17
    },
    {
      "date": "2016-07-13",
      "valueEUR": 1500000,
      "valueText": "€1.50m",
      "club": "AS Monaco",
      "age": 17
    },
    {
      "date": "2016-11-01",
      "valueEUR": 4000000,
      "valueText": "€4.00m",
      "club": "AS Monaco",
      "age": 17
    },
    "... 26 more items"
  ],
  "peakMarketValue": 200000000,
  "peakMarketValueDate": "2018-12-17",
  "transfers": [
    {
      "date": "2024-07-01",
      "season": "24/25",
      "fromClub": "PSG",
      "fromClubId": "583",
      "toClub": "Real Madrid",
      "toClubId": "418",
      "feeText": "free transfer",
      "feeEUR": 0,
      "marketValueText": "€180.00m",
      "marketValueEUR": 180000000,
      "upcoming": false
    },
    {
      "date": "2018-07-01",
      "season": "18/19",
      "fromClub": "Monaco",
      "fromClubId": "162",
      "toClub": "PSG",
      "toClubId": "583",
      "feeText": "€180.00m",
      "feeEUR": 180000000,
      "marketValueText": "€120.00m",
      "marketValueEUR": 120000000,
      "upcoming": false
    },
    {
      "date": "2018-06-30",
      "season": "17/18",
      "fromClub": "PSG",
      "fromClubId": "583",
      "toClub": "Monaco",
      "toClubId": "162",
      "feeText": "End of loan",
      "marketValueText": "€120.00m",
      "marketValueEUR": 120000000,
      "upcoming": false
    },
    {
      "date": "2017-08-31",
      "season": "17/18",
      "fromClub": "Monaco",
      "fromClubId": "162",
      "toClub": "PSG",
      "toClubId": "583",
      "feeText": "loan transfer",
      "marketValueText": "€35.00m",
      "marketValueEUR": 35000000,
      "upcoming": false
    },
    {
      "date": "2016-01-01",
      "season": "15/16",
      "fromClub": "Monaco U19",
      "fromClubId": "9669",
      "toClub": "Monaco",
      "toClubId": "162",
      "feeText": "-",
      "marketValueText": "€50k",
      "marketValueEUR": 50000,
      "upcoming": false
    },
    "... 3 more items"
  ],
  "totalTransferFees": 180000000
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.

How to scrape transfermarkt.com

1. Go to Transfermarkt Market Value & Transfer Scraper in Apify Console.
2. Configure the input.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract entity data from transfermarkt.com for market research and competitive analysis.
• Monitor new and changed entities on scheduled runs without processing the full dataset every time.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape transfermarkt.com?

Transfermarkt Market Value & Transfer Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.00005 per run
• Per result: $0.0005 per entity record

Example costs:

• 10 results: $0.00505
• 25 results: $0.013
• 100 results: $0.05
• 200 results: $0.1
• 500 results: $0.25

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of entities that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 200 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.10	$0.00505	$0.10 (95%)	$0.15
15% — moderate broad query	$0.10	$0.02	$0.09 (85%)	$0.45
30% — high-volume aggregator	$0.10	$0.03	$0.07 (70%)	$0.90

Full re-scrape monthly cost at daily polling: $3.00. First month with incremental costs $0.25 / $0.54 / $0.97 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from transfermarkt.com?

The number of results depends on the search query and available entities on transfermarkt.com. Use the maxResults parameter to control how many results are returned per run.

Does Transfermarkt Market Value & Transfer Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed entities on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Transfermarkt Market Value & Transfer Scraper with other apps?

Yes. Transfermarkt Market Value & Transfer Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Transfermarkt Market Value & Transfer Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Transfermarkt Market Value & Transfer Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape transfermarkt.com?

This actor extracts publicly available data from transfermarkt.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.