# ESPN Soccer Scores, Fixtures & Standings Scraper (`scrapers_lat/espn-soccer-scraper`) Actor
Scrape soccer scores, fixtures, results, standings and teams for the FIFA World Cup and top leagues. Get match date, live status, home and away teams, scores, venue, broadcasts and league tables. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/espn-soccer-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** News, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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
[](https://console.apify.com/actors)
## ESPN Soccer Scores, Fixtures & Standings Scraper
> Collect soccer scores, fixtures, results, standings and teams for the FIFA World Cup and the top leagues in one structured feed
Live scores and fixtures
World Cup + top leagues coverage
JSON / CSV / Excel output formats
### What you get
Point the scraper at a competition and choose what you want: match scores and fixtures, the full league table, or the list of teams. It returns one clean record per match, per table row or per team, ready for a widget, an app or a spreadsheet. The FIFA World Cup is selected by default, so a plain run returns the current matchday during the tournament.
#### Scores and fixtures
- **matchId**: unique identifier for the match
- **leagueName**: the competition name
- **season**: season or stage label
- **round**: round or stage note when available
- **date**: kickoff date and time in UTC
- **name**: full match name (for example Norway at Brazil)
- **shortName**: short match name (for example NOR @ BRA)
- **state**: match state (pre for scheduled, in for live, post for finished)
- **status**: readable status such as Scheduled, First Half or Full Time
- **statusDetail**: short status detail such as FT or a live minute
- **completed**: whether the match has finished
- **clock**: live match clock when a game is in progress
- **period**: current half or period number
- **homeTeam / awayTeam**: the two teams
- **homeAbbrev / awayAbbrev**: short team codes
- **homeScore / awayScore**: current or final score for each side
- **homeWinner / awayWinner**: which side won
- **homeForm / awayForm**: recent form string (for example WWDLW)
- **homeLogo / awayLogo**: team crest image URL
- **homeStats / awayStats**: possession, total shots, shots on target, corners and fouls when the match provides them
- **venue**: stadium name
- **venueCity / venueCountry**: where the match is played
- **attendance**: reported attendance when available
- **broadcasts**: TV and streaming names carrying the match
- **url**: link to the match page
- **observedAt**: when the record was collected
#### Standings (league table)
- **rank**: current table position
- **group**: group name for group-stage competitions
- **team / teamAbbrev / teamLogo**: the team, its short code and crest
- **gamesPlayed**: matches played
- **wins / draws / losses**: results breakdown
- **points**: total points
- **goalsFor / goalsAgainst / goalDifference**: goals scored, conceded and the difference
- **pointsPerGame**: points per match
- **record**: win-draw-loss record string
#### Teams
- **teamId**: unique team identifier
- **team / shortName / abbreviation**: naming variants
- **location**: team home location
- **color / alternateColor**: primary and secondary team colors
- **teamLogo**: team crest image URL
- **isActive**: whether the team is currently active
- **url**: link to the team page
### Who is it for
| Use case | Who benefits |
|---|---|
| Power a live score widget or match ticker | App and web developers |
| Build a World Cup 2026 companion app | Product teams and indie developers |
| Feed fixtures and results into analytics | Sports data analysts |
| Model outcomes and price markets | Betting and trading model builders |
| Track league tables across competitions | Fan sites and media outlets |
### Frequently Asked Questions
**Which competitions are covered?**
The FIFA World Cup plus top leagues and cups including the Premier League, LaLiga, Serie A, Bundesliga, Ligue 1, MLS, Liga MX, the Champions League, the Europa League and more. Pick one from the Competition list.
**Can I get results for a specific day?**
Yes. In scores and fixtures mode you can set a single date, or a date range with Date from and Date to. Leave them empty to get the current matchday and nearby fixtures.
**Does it return live, in-progress matches?**
Yes. During a live match the state, status, clock, period and current score update, and match statistics like possession and shots are filled in as the game develops.
**How do I get the league table?**
Set What to scrape to Standings and choose a competition. Each row is one team with its position, points, wins, draws, losses and goals. Group-stage competitions like the World Cup return every group.
**How many records can I collect in one run?**
Use Max Items to cap the output. A scoreboard run returns every match on the requested date or range, a standings run returns the full table, and a teams run returns every team in the competition.
**Why are some fields empty?**
Some fields only apply in certain contexts. Match statistics, attendance and broadcasts appear when the competition reports them, and the live clock only shows while a match is in progress.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Ticketmaster Events, Venues & Prices Scraper](https://apify.com/scrapers_lat/ticketmaster-scraper): Scrape public Ticketmaster events by keyword, city or category. Export event name, date, venue and prices...
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with ESPN or any league or federation. It only accesses soccer information that is already public, and returns it in a structured form.
# Actor input Schema
## `mode` (type: `string`):
Choose the kind of data to collect: match scores and fixtures, the league table (standings), or the list of teams in a competition.
## `league` (type: `string`):
The competition to scrape. FIFA World Cup is selected by default.
## `date` (type: `string`):
Scores and fixtures mode only. A single day in YYYY-MM-DD format (for example 2026-07-05). Leave empty to return the current matchday and nearby fixtures.
## `dateFrom` (type: `string`):
Scores and fixtures mode only. Start of a date range in YYYY-MM-DD format. Use together with Date to. Overrides Single date.
## `dateTo` (type: `string`):
Scores and fixtures mode only. End of a date range in YYYY-MM-DD format. Use together with Date from.
## `maxItems` (type: `integer`):
Maximum number of records to collect (matches, table rows or teams). Optional.
## Actor input object example
```json
{
"mode": "scoreboard",
"league": "fifa.world",
"maxItems": 100
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# 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 = {
"mode": "scoreboard",
"league": "fifa.world",
"maxItems": 100
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/espn-soccer-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 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);
});
// 📚 Want to learn more 📖? Go to → 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 = {
"mode": "scoreboard",
"league": "fifa.world",
"maxItems": 100,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/espn-soccer-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"mode": "scoreboard",
"league": "fifa.world",
"maxItems": 100
}' |
apify call scrapers_lat/espn-soccer-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/espn-soccer-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "ESPN Soccer Scores, Fixtures & Standings Scraper",
"description": "Scrape soccer scores, fixtures, results, standings and teams for the FIFA World Cup and top leagues. Get match date, live status, home and away teams, scores, venue, broadcasts and league tables. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "t7i3kgOEQPgAtNCUx"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~espn-soccer-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-espn-soccer-scraper",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~espn-soccer-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-espn-soccer-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~espn-soccer-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-espn-soccer-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"mode": {
"title": "What to scrape",
"enum": [
"scoreboard",
"standings",
"teams"
],
"type": "string",
"description": "Choose the kind of data to collect: match scores and fixtures, the league table (standings), or the list of teams in a competition.",
"default": "scoreboard"
},
"league": {
"title": "Competition",
"enum": [
"fifa.world",
"eng.1",
"esp.1",
"ita.1",
"ger.1",
"fra.1",
"usa.1",
"mex.1",
"arg.1",
"bra.1",
"por.1",
"ned.1",
"uefa.champions",
"uefa.europa",
"conmebol.libertadores",
"concacaf.gold",
"uefa.euro",
"fifa.wwc"
],
"type": "string",
"description": "The competition to scrape. FIFA World Cup is selected by default.",
"default": "fifa.world"
},
"date": {
"title": "Single date (optional)",
"type": "string",
"description": "Scores and fixtures mode only. A single day in YYYY-MM-DD format (for example 2026-07-05). Leave empty to return the current matchday and nearby fixtures."
},
"dateFrom": {
"title": "Date from (optional)",
"type": "string",
"description": "Scores and fixtures mode only. Start of a date range in YYYY-MM-DD format. Use together with Date to. Overrides Single date."
},
"dateTo": {
"title": "Date to (optional)",
"type": "string",
"description": "Scores and fixtures mode only. End of a date range in YYYY-MM-DD format. Use together with Date from."
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of records to collect (matches, table rows or teams). Optional."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```