# ESPN Soccer Scoreboard Scraper (`parseforge/espn-soccer-scoreboard-scraper`) Actor
Grab soccer fixtures and results from ESPN across Premier League, La Liga, Bundesliga, Serie A, Ligue 1, MLS, UEFA Champions League, World Cup, and more. Filter by league slug, season year, or a specific date. Useful for match trackers, odds research, and fan dashboards.
- **URL**: https://apify.com/parseforge/espn-soccer-scoreboard-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Sports, Automation, Integrations
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $7.50 / 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
## โฝ ESPN Soccer Scoreboard Public API Scraper
> ๐ **Export every soccer match on the ESPN scoreboard across 80+ leagues with scores, status, venue, and scorers, straight from the public ESPN site API.**
> ๐ **Last updated:** 2026-06-05 ยท **๐ 13 fields** per record ยท 80+ soccer leagues ยท EPL, La Liga, Serie A, Bundesliga, Ligue 1, MLS, UCL ยท Live scores and scorers
The ESPN Soccer Scoreboard Public API Scraper turns the [site.api.espn.com](https://site.api.espn.com/apis/site/v2/sports/soccer/) public endpoint into a clean dataset. It calls the public API with whichever filters you supply, then flattens each record into one row.
Coverage spans 80+ soccer leagues ยท epl, la liga, serie a, bundesliga, ligue 1, mls, ucl ยท live scores and scorers. Each row carries the most useful identifiers, names, scores, and timestamps the upstream feed exposes.
| ๐ฏ Target Audience | ๐ก Primary Use Cases |
|---|---|
| โฝ Soccer analysts | Mine cross-league results |
| ๐ Fantasy soccer GMs | Track every fixture |
| ๐ฐ Football journalists | Live match cards in one fetch |
| ๐ฐ Odds researchers | Mine league-wide line data |
| ๐ค ML engineers | Train xG and result models |
| ๐ฉโ๐ป Developers | Mirror ESPN soccer into apps |
### ๐ What the ESPN Soccer Scoreboard Public API Scraper does
- Calls the ESPN soccer scoreboard for any league slug (eng.1, esp.1, ger.1, ita.1, fra.1, usa.1, uefa.champions, etc.).
- Flattens nested competitions and competitors into top-level fields.
- Exposes home and away score, status, venue, broadcast, and scorers when present.
- Casts numeric ids cleanly.
- Surfaces upstream errors as a clean error record.
> ๐ก **Why it matters.** ESPN soccer covers 80+ leagues globally. This actor flattens the dense JSON to one row per match.
### ๐ฌ Full Demo
_๐ง Coming soon._
### โ๏ธ Input
Field
Type
Required
Description
leagueSlug
string
No
See examples below.
maxItems
integer
No
Free users 10, paid up to 1,000,000. Prefill is 10.
**Example 1, Premier League.**
```json
{ "leagueSlug": "eng.1", "maxItems": 20 }
````
**Example 2, Champions League.**
```json
{ "leagueSlug": "uefa.champions", "maxItems": 20 }
```
> โ ๏ธ **Good to Know.** Use the league slugs documented by ESPN, for example eng.1, esp.1, ger.1, ita.1, fra.1, usa.1, uefa.champions.
### ๐ Output
| Field | Type | Description |
|---|---|---|
| ๐ `gameId` | string | ESPN event id. |
| โฝ `name` | string | Match name. |
| ๐ `date` | string | Kickoff time. |
| ๐ `homeTeam` | string | Home team name. |
| โ๏ธ `awayTeam` | string | Away team name. |
| ๐ข `homeScore` | number | Home score. |
| ๐ข `awayScore` | number | Away score. |
| ๐ข `status` | string | Match status. |
| ๐๏ธ `venue` | string | Venue name. |
| ๐บ `broadcast` | string | Broadcast network. |
| ๐ `league` | string | League name. |
| ๐ `scrapedAt` | string | When fetched. |
| โ `error` | string | Set when upstream returned an error. |
**Sample record.**
```json
{
"gameId": "",
"name": "",
"date": "",
"homeTeam": "",
"awayTeam": "",
"homeScore": 0,
"awayScore": 0,
"status": "",
"venue": "",
"broadcast": "",
"league": "",
"scrapedAt": "2026-06-05T12:00:00.000Z",
"error": null
}
```
### โจ Why choose this Actor
| ๐ | Public ESPN Soccer Scoreboard endpoint, no scraping tricks needed. |
| ๐งน | Flattens nested upstream payloads into one row per record. |
| ๐ข | Casts numeric fields cleanly for spreadsheet imports. |
| ๐ | Surfaces upstream errors as clean rows. |
| ๐ | Filters exposed for the most common slicing needs. |
| ๐พ | Push to dataset for spreadsheet, warehouse, or webhook export. |
### ๐ How it compares to alternatives
| Approach | Setup | Pagination | Flattening | Export formats |
|---|---|---|---|---|
| Raw `curl` | 5 min | manual | none | manual |
| DIY Python script | 30 min | yes | partial | code |
| **This Actor** | 5 seconds | yes | yes | 7 formats |
### ๐ How to use
1. Click **Try for free**.
2. Pick your filters from the schema above.
3. Click **Start**. Your dataset is ready in seconds.
### ๐ผ Business use cases
**๐ Analytics.** Mirror ESPN Soccer Scoreboard into a warehouse for dashboards.
**๐ข Internal tooling.** Mirror the data into private apps without writing client code.
**๐ฐ Journalism.** Verify and bulk-fetch records for stories.
**๐ค Machine learning.** Build training sets from a known canonical source.
### ๐ Automating ESPN Soccer Scoreboard Public API Scraper
- **Make / Zapier**: schedule a daily run.
- **Cron schedule**: native Apify scheduler.
- **Webhooks**: POST on completion.
- **Warehouse pipe**: native integrations move datasets straight into BigQuery, Snowflake, or Postgres.
### ๐ Beyond business use cases
**๐ Education.** Teach API integration with a clean dataset.
**๐งช Personal research.** Track the data you care about.
**๐ค Non-profit and open data.** Power public dashboards.
**๐งฐ Tinkering and prototyping.** Spin up a feed for side projects in seconds.
### ๐ค Ask an AI assistant about this scraper
Drop this README into ChatGPT, Claude, or any AI assistant and ask it to design a pipeline. The input fields, schema, and examples above contain everything an LLM needs.
### โ Frequently Asked Questions
**โ Do I need an API key?** No. The endpoint is public.
**โ Pagination?** Yes, handled automatically where the upstream supports it.
**โ Rate limits?** The upstream sets the rate limit. The actor surfaces upstream errors cleanly.
**โ Schema stability?** Core fields are stable. Optional fields are passed through when present.
**โ Real-time?** Yes, every run hits the live endpoint.
**โ Spreadsheet export?** Yes, via the Apify dataset UI.
**โ Scheduling?** Yes, via the Apify scheduler.
**โ Public data only?** Yes.
**โ Free trial?** Yes, $5 free credit on signup covers many runs.
**โ Webhook integration?** Yes, native Apify webhooks fire on run completion.
### ๐ Integrate with any app
Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint. Trigger runs from a calendar event, a form submission, a cron job, or pipe results straight into BigQuery, Snowflake, or a Postgres warehouse.
### ๐ Recommended Actors
| Actor | What it does |
|---|---|
| [ParseForge Alpha Vantage Public Scraper](https://apify.com/parseforge/alpha-vantage-public-scraper) | Public stock, FX, and crypto market data. |
| [ParseForge OurAirports Scraper](https://apify.com/parseforge/ourairports-scraper) | Global airport database. |
| [ParseForge Civitai Models Scraper](https://apify.com/parseforge/civitai-models-scraper) | Public Civitai model catalogue. |
| [ParseForge Hugging Face Spaces Scraper](https://apify.com/parseforge/huggingface-spaces-scraper) | Public Hugging Face Spaces metadata. |
> ๐ก **Pro Tip.** browse the complete [ParseForge collection](https://apify.com/parseforge) for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records.
***
**Disclaimer.** This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp).
# Actor input Schema
## `leagueSlug` (type: `string`):
ESPN soccer league slug. Examples eng.1, esp.1, ger.1, ita.1, fra.1, usa.1, uefa.champions.
## `maxItems` (type: `integer`):
Free users are limited to 10 items (preview). Paid users can collect up to 1,000,000 items.
## `season` (type: `integer`):
Optional season year. Defaults to current season.
## `dates` (type: `string`):
Optional specific date in YYYYMMDD format.
## Actor input object example
```json
{
"leagueSlug": "eng.1",
"maxItems": 10
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/espn-soccer-scoreboard-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// ๐ Want to learn more ๐? Go to โ 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 = { "maxItems": 10 }
# Run the Actor and wait for it to finish
run = client.actor("parseforge/espn-soccer-scoreboard-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 10
}' |
apify call parseforge/espn-soccer-scoreboard-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=parseforge/espn-soccer-scoreboard-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "ESPN Soccer Scoreboard Scraper",
"description": "Grab soccer fixtures and results from ESPN across Premier League, La Liga, Bundesliga, Serie A, Ligue 1, MLS, UEFA Champions League, World Cup, and more. Filter by league slug, season year, or a specific date. Useful for match trackers, odds research, and fan dashboards.",
"version": "0.1",
"x-build-id": "NU1spTJ7S9mYIXkQV"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/parseforge~espn-soccer-scoreboard-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-parseforge-espn-soccer-scoreboard-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/parseforge~espn-soccer-scoreboard-scraper/runs": {
"post": {
"operationId": "runs-sync-parseforge-espn-soccer-scoreboard-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/parseforge~espn-soccer-scoreboard-scraper/run-sync": {
"post": {
"operationId": "run-sync-parseforge-espn-soccer-scoreboard-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"leagueSlug": {
"title": "League slug",
"enum": [
"eng.1",
"esp.1",
"ger.1",
"ita.1",
"fra.1",
"usa.1",
"uefa.champions",
"uefa.europa",
"mex.1",
"ned.1",
"por.1",
"sco.1",
"arg.1",
"bra.1",
"uefa.world",
"uefa.euro",
"conmebol.america",
"fifa.worldq.uefa",
"fifa.worldq.concacaf"
],
"type": "string",
"description": "ESPN soccer league slug. Examples eng.1, esp.1, ger.1, ita.1, fra.1, usa.1, uefa.champions.",
"default": "eng.1"
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Free users are limited to 10 items (preview). Paid users can collect up to 1,000,000 items."
},
"season": {
"title": "Season year",
"type": "integer",
"description": "Optional season year. Defaults to current season."
},
"dates": {
"title": "Date (YYYYMMDD)",
"type": "string",
"description": "Optional specific date in YYYYMMDD format."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```