ESPN Sports Scraper

hipersoft/espn-sports-scraper

Scrape live and past scores, teams, standings and news across NBA, NFL, MLB, NHL, EPL, La Liga and more via ESPN's public data. For sports analytics, betting and fantasy. No setup.

Run this scraper →See the API call

Total users

Monthly users

Total runs

111

Per item scraped

$0.001

Last rebuilt

Oct 28, 2026

Overview

ESPN Sports Scraper pulls live and past scores, team directories, league standings and news headlines across NBA, NFL, MLB, NHL, EPL, La Liga and many more — all as clean, structured JSON. Pick your leagues, choose a data type, and optionally set a date or date range for the scoreboard. Export to JSON, CSV, Excel or XML. Fast and reliable, with no API key to set up. Made for sports analytics, betting models, fantasy tools and media dashboards.

ESPN Sports Scraper input — leagues, data type and date range in the Apify Console

What does the ESPN Scraper do?

Choose one or more leagues and a data type — scoreboard, teams, standings or news — and it returns every matching record as structured data. Set a date or date range to pull historical scoreboards, or leave it empty for today's games.

What data can you scrape from ESPN?

Data point	Description
Game	`gameId`, `name`, `shortName`, `date`, `status`, `completed`
Teams	`homeTeam`, `awayTeam`, `competitors`
Score	`homeScore`, `awayScore`
Venue	`venue`, `city`
Context	`league`, `dataType`
News	headlines, description, published, byline, url, image
Standings	wins, losses, win percentage, points for/against, streak, rank

What you get

Each scoreboard game is one clean dataset record. Export the full table to JSON, CSV, Excel or XML.

ESPN Sports Scraper output example — game rows with teams, scores and venue as structured JSON

{
  "league": "nba",
  "dataType": "scoreboard",
  "gameId": "401585123",
  "name": "Boston Celtics at Los Angeles Lakers",
  "shortName": "BOS @ LAL",
  "date": "2026-01-15T03:00Z",
  "status": "Final",
  "completed": true,
  "venue": "Crypto.com Arena",
  "city": "Los Angeles",
  "competitors": [
    { "team": "Los Angeles Lakers", "abbreviation": "LAL", "homeAway": "home", "score": 112, "winner": true, "record": "24-14" },
    { "team": "Boston Celtics", "abbreviation": "BOS", "homeAway": "away", "score": 108, "winner": false, "record": "30-9" }
  ],
  "homeTeam": "Los Angeles Lakers",
  "awayTeam": "Boston Celtics",
  "homeScore": 112,
  "awayScore": 108
}

Output schema

Fields below are for the scoreboard data type. The teams, standings and news data types return their own record shapes (team directories, standings metrics, and headline feeds respectively).

Field	Type	Description
`league`	string	League code the record belongs to (e.g. `nba`, `epl`).
`dataType`	string	Which data type produced the record (here, `scoreboard`).
`gameId`	string	ESPN's unique identifier for the game.
`name`	string	Full matchup name (e.g. "Boston Celtics at Los Angeles Lakers").
`shortName`	string	Abbreviated matchup (e.g. "BOS @ LAL").
`date`	string (ISO date)	Scheduled start time of the game.
`status`	string	Game status such as Scheduled, In Progress or Final.
`completed`	boolean	Whether the game has finished.
`venue`	string	Name of the stadium or arena.
`city`	string	City where the game is played.
`competitors`	array	Per-team detail: team name, abbreviation, home/away, score, winner and record.
`homeTeam`	string	Home team name.
`awayTeam`	string	Away team name.
`homeScore`	integer	Home team score.
`awayScore`	integer	Away team score.

Use cases

Feed live and final scores into a betting or model pipeline.
Build league standings tables for a sports site or app.
Pull team directories with colors and logos for branding.
Aggregate league news headlines for a media dashboard.
Backfill historical scores for a sports analytics dataset.

How to scrape ESPN data

Add the ESPN Sports Scraper to your Apify account and open its input.
Choose one or more league codes under leagues.
Set dataType to scoreboard, teams, standings or news.
For scoreboards, set dates to a YYYYMMDD day or range, then click Run.
Export the results as JSON, CSV, Excel or XML, or pull them via the Apify API.

Input

{
  "leagues": ["nba", "epl"],
  "dataType": "scoreboard",
  "dates": "20260115"
}

Field	Description
`leagues`	League codes to scrape (e.g. nba, wnba, ncaab, nfl, ncaaf, mlb, nhl, epl, laliga, seriea, bundesliga, ligue1, ucl, mls, pga, f1, atp).
`dataType`	`scoreboard`, `teams`, `standings`, or `news`.
`dates`	Scoreboard date `YYYYMMDD` or `YYYYMMDD-YYYYMMDD` range; empty = today.

Need more sports & media data?

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Google Trends Scraper — interest-over-time for teams, players and topics.

FAQ

Do I need an ESPN account or API key? No. Just pick your leagues and data type and run — no login or API key.

Which leagues are supported? nba, wnba, ncaab, nfl, ncaaf, mlb, nhl, epl, laliga, seriea, bundesliga, ligue1, ucl, mls, pga, f1 and atp.

Can I scrape scores for a specific date? Yes. Set dates to a single YYYYMMDD day or a YYYYMMDD-YYYYMMDD range. Leave it empty for today's games.

What export formats are supported? JSON, CSV, Excel and XML, plus programmatic access through the Apify API.

How does billing work? You pay per item you get, so cost scales with the number of records you actually collect. See the Pricing tab for current rates.

Can I connect this to other tools? The ESPN Sports Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is scraping ESPN legal? The scraper reads only publicly available scores, teams, standings and news. You are responsible for reviewing ESPN's terms for your use case.

Notes

Original clean-room implementation. Reads only publicly available scores, teams, standings and news. Not affiliated with, endorsed by or connected to ESPN, Inc. or its affiliates.

Input

Field	Type	Description
`leagues` Leagues	array	Leagues to scrape: nba, wnba, ncaab, nfl, ncaaf, mlb, nhl, epl, laliga, seriea, bundesliga, ligue1, ucl, mls, pga, f1, atp.
`dataType` Data type	string · scoreboard, teams, standings, news	What to scrape for each league. Default: `"scoreboard"`
`dates` Dates (scoreboard only)	string	For the scoreboard: a date YYYYMMDD or range YYYYMMDD-YYYYMMDD. Empty = today / current.

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~espn-sports-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "leagues": [
    "nba"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/espn-sports-scraper").call(run_input={
    "leagues": [
        "nba"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/espn-sports-scraper').call({
  "leagues": [
    "nba"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Item scraped One game, team, standing or news item with full detail	$0.001	$0.0005
API request One ESPN data API request	$0.001	$0.001

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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