# Transfermarkt Player Spider (`getdataforme/transfermarkt-player-spider`) Actor
The Transfermarkt Player Spider scrapes detailed football player data from Transfermarkt, aiding market research and analysis. It offers customizable, scalable data extraction with high accuracy, exporting in JSON, CSV, or Excel formats. Ideal for competitive intelligence and business automation.
- **URL**: https://apify.com/getdataforme/transfermarkt-player-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, E-commerce, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $9.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Transfermarkt Player Spider
The Transfermarkt Player Spider is a powerful tool designed to scrape detailed player information from Transfermarkt, a leading football database. This actor allows users to gather comprehensive data on football players, aiding in market research, competitive analysis, and more.
### Features
- **Comprehensive Data Extraction**: Collects detailed player profiles including names, positions, ages, nationalities, and more.
- **High Data Quality**: Ensures accurate and up-to-date information directly from Transfermarkt.
- **Customizable Scraping**: Configure URLs and item limits to tailor data collection to your needs.
- **Efficient Performance**: Optimized for fast and reliable data retrieval.
- **Scalable**: Handles multiple URLs and large datasets with ease.
- **User-Friendly**: Simple setup and execution via the Apify platform.
- **Versatile Output Formats**: Export data in JSON, CSV, or Excel formats.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|------------|----------|----------|-------------------------------------------------------|-------------------------------------------------------------------------|
| Urls | Array | No | The URLs for the spider to scrape. | `["https://www.transfermarkt.com/schnellsuche/ergebnis/schnellsuche?query=barca"]` |
| itemLimit | Integer | No | Specifies the maximum number of items to process. | `20` |
### Example Usage
#### Example Input JSON
```json
{
"Urls": [
"https://www.transfermarkt.com/schnellsuche/ergebnis/schnellsuche?query=barca"
],
"itemLimit": 20
}
````
#### Example Output JSON
```json
[
{
"player_id": "22099",
"player_name": "Cosmin BΔrcΔuan",
"player_url": "https://www.transfermarkt.com/cosmin-barcauan/profil/spieler/22099",
"image": "https://img.a.transfermarkt.technology/portrait/small/22099-1755627963.png?lm=1",
"position": "CB",
"age": "47",
"nationalities": [
"Romania"
],
"club_name": null,
"club_url": null,
"market_value": "-",
"agent_name": null,
"agent_url": null,
"actor_id": "5VSy3uDY9hFSLc4pj",
"run_id": "JSUj6HEdsgjdmgsHq"
}
]
```
### Use Cases
- **Market Research and Analysis**: Gather data for player valuation and market trends.
- **Competitive Intelligence**: Monitor player movements and club strategies.
- **Price Monitoring**: Track changes in player market values.
- **Content Aggregation**: Compile player information for sports websites or blogs.
- **Academic Research**: Analyze player statistics for sports studies.
- **Business Automation**: Integrate player data into business intelligence tools.
### Installation and Usage
1. Search for "Transfermarkt Player Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).
### Output Format
The output is a JSON array where each object contains:
- `player_id`: Unique identifier for the player.
- `player_name`: Full name of the player.
- `player_url`: URL to the player's profile.
- `image`: URL to the player's image.
- `position`: Playing position.
- `age`: Age of the player.
- `nationalities`: Array of player nationalities.
- `club_name`: Current club name (if available).
- `club_url`: URL to the club's profile (if available).
- `market_value`: Current market value.
- `agent_name`: Name of the player's agent (if available).
- `agent_url`: URL to the agent's profile (if available).
### Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form:
We're here to help you get the most out of this Actor!
# Actor input Schema
## `Urls` (type: `array`):
The urls for the spider.
## `itemLimit` (type: `integer`):
Specifies the maximum number of items to process.
## Actor input object example
```json
{
"Urls": [
"https://www.transfermarkt.com/schnellsuche/ergebnis/schnellsuche?query=barca"
],
"itemLimit": 20
}
```
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"itemLimit": 20
};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/transfermarkt-player-spider").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`πΎ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// π Want to learn more π? Go to β https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "itemLimit": 20 }
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/transfermarkt-player-spider").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"itemLimit": 20
}' |
apify call getdataforme/transfermarkt-player-spider --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/transfermarkt-player-spider",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Transfermarkt Player Spider",
"description": "The Transfermarkt Player Spider scrapes detailed football player data from Transfermarkt, aiding market research and analysis. It offers customizable, scalable data extraction with high accuracy, exporting in JSON, CSV, or Excel formats. Ideal for competitive intelligence and business automation.",
"version": "0.0",
"x-build-id": "791yQC5T2ROZYCLgn"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~transfermarkt-player-spider/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-transfermarkt-player-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~transfermarkt-player-spider/runs": {
"post": {
"operationId": "runs-sync-getdataforme-transfermarkt-player-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~transfermarkt-player-spider/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-transfermarkt-player-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"Urls": {
"title": "Urls",
"minItems": 1,
"type": "array",
"description": "The urls for the spider.",
"default": [
"https://www.transfermarkt.com/schnellsuche/ergebnis/schnellsuche?query=barca"
],
"items": {
"type": "string"
}
},
"itemLimit": {
"title": "Item Limit",
"type": "integer",
"description": "Specifies the maximum number of items to process.",
"default": 20
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```