ESPN Scraper API

Scrape ESPN NBA player statistics across seasons and teams. Collect ESPN data such as player name, games played, games started, minutes per game, points per game, offensive and defensive rebounds per game, and more.

5K free records/month · Credit card not required

Available ESPN scrapers

Pick a ESPN scraper and call it. Every ESPN scraper lists its output fields, delivery volume, and live success rate.

Explore thousands of production-ready scrapers

Pay only for successful results, no surprises – Proxies, unlocking, browsers and retries are built in.

Pricing

Web Scraper API Pricing

Only pay for what’s successfully delivered. No hidden fees, no charges for failed deliveries.

CALCULATE YOUR COST
Records per month: 5K
$/mo
$ per 1,000 records
Your whole bill. Proxies, unblocking, parsing included.
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  • Pay only for success, no hidden fees
  • Start free with 5,000 monthly credits
  • No upfront commitment, cancel anytime
  • 24/7 expert support and enterprise features
Free Tier
5K
records
Start free
  • 5K records per month
  • No credit card required
  • Expert support
Pay as you go
$1.5/1K record
Start free
  • Pay only for success
  • Set monthly spend limits
  • Unlimited concurrency
  • Expert support
Scale
$499 /month
Start free
  • 384,000 records included
  • $1.3/1K additional records
  • Unlimited concurrency
  • Cancel anytime
  • Expert support
Enterprise
Custom
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  • Volume discounts
  • Account manager
  • Premium SLA
  • Priority support
  • SSO
Compute / runtime units
commonly billed per scraper runtime hour or compute unit
Included
Residential proxy bandwidth
commonly billed per GB
Included
Storage & dataset retention
commonly billed per GB-month
Included
Data transfer / egress
commonly billed per GB out
Included
Unblocking & CAPTCHA solving
commonly a paid add-on
Included
Parsing to structured JSON
commonly your own code
Included
We accept these payment methods:

Just want data? Skip scraping.
Purchase a ESPN dataset

How it works

From zero to ESPN data in 3 steps

No proxies to configure, no infrastructure to manage. Pick, call, and receive.
  1. Pick a scraper

    Choose from the [current_scraper_name} scrapers above or create your own with AI in minutes.

  2. Call the API

    One API call with up to 5,000 target URLs. Python and Node.js SDKs, CLI, MCP server, or any HTTP client.

  3. Get structured data

    Receive clean, parsed [current_scrper_name] data in JSON, NDJSON, or CSV. Delivered via API, webhook, or cloud storage.

Scraper API Call
curl -H "Authorization: Bearer API_TOKEN" -H "Content-Type: application/json" -d '[{"url":"https://www.espn.com/nba/team/stats/_/name/bos/season/2013/seasontype/2"},{"url":"https://www.espn.com/nba/team/stats/_/name/bos/season/2013/seasontype/3"},{"url":"https://www.espn.com/nba/team/stats/_/name/bos/season/2014/seasontype/2"}]' "https://api.brightdata.com/datasets/v3/trigger?dataset_id=gd_lrqirmftwxxatiorf&format=json&uncompressed_webhook=true"
Response payload
[
  {
    "timestamp": "2026-09-16",
    "url": "https:\/\/www.espn.com\/wnba\/player\/stats\/_\/id\/125\/tamika-catchings",
    "player_name": "Tamika C*******s",
    "player_games_played": 32,
    "player_games_started": 32,
    "player_minutes_per_game": 36.5,
    "player_points_per_game": 18.6,
    "player_offensive_rebounds__per_game": 2.9
  },
  {
    "timestamp": "2026-09-16",
    "url": "https:\/\/www.espn.com\/nba\/player\/stats\/_\/id\/3450\/oj-mayo",
    "player_name": "O.J. M**o",
    "player_games_played": 82,
    "player_games_started": 81,
    "player_minutes_per_game": 38,
    "player_points_per_game": 18.5,
    "player_offensive_rebounds__per_game": 0.7
  },
  {
    "timestamp": "2026-09-17",
    "url": "https:\/\/www.espn.com\/nba\/player\/stats\/_\/id\/2761\/gerald-green",
    "player_name": "Gerald G***n",
    "player_games_played": 32,
    "player_games_started": 3,
    "player_minutes_per_game": 11.7,
    "player_points_per_game": 5.2,
    "player_offensive_rebounds__per_game": 0.3
  },
  {
    "timestamp": "2026-09-17",
    "url": "https:\/\/www.espn.com\/nba\/player\/stats\/_\/id\/4395627\/cam-reddish",
    "player_name": "Cam R*****h",
    "player_games_played": 58,
    "player_games_started": 34,
    "player_minutes_per_game": 26.7,
    "player_points_per_game": 10.5,
    "player_offensive_rebounds__per_game": 0.6
  },
  {
    "timestamp": "2026-09-17",
    "url": "https:\/\/www.espn.com\/nba\/player\/stats\/_\/id\/3442\/deandre-jordan",
    "player_name": "DeAndre J****n",
    "player_games_played": 53,
    "player_games_started": 13,
    "player_minutes_per_game": 14.5,
    "player_points_per_game": 4.3,
    "player_offensive_rebounds__per_game": 1.4
  }
]
Start free
World's #1 scraping platform

Everything you need, built in

You pay for results. Proxies, rendering, concurrency, and delivery are always included, on every plan.

Go straight to the source

Every request runs on Bright Data infrastructure. 400M+ IPs, unlocking and browsers are built in.

Scale to millions of pages instantly

Send unlimited concurrent requests - no infrastructure to manage, no configs to change.

Scrapers auto-fix when sites change

AI-powered self-healing detects site changes and repairs scrapers. Your pipelines keep running.

Thousands of verified scrapers

Every scraper is built, tested, and maintained by Bright Data. No community guesswork.

Pay per result, nothing extra

One price per record . Proxies, retries, rendering, unblocking - all included, no surprises.

Compliant and fully supported

GDPR & CCPA compliant. 24/7 human support on every plan, including free.
ESPN data scraping use cases

Real-time ESPN intelligence for your business.

Player performance analysis

Per-game statistics are the working unit of basketball analysis. Scrape points, minutes and rebound splits per player to compare production across a roster, and to normalise for the minutes a player actually sees on court.

Roster and workload tracking

Games played and games started separate a starter from a rotation player far more reliably than headline scoring. Scrape both alongside minutes per game to map how a coaching staff distributes workload.

Fantasy and projection modelling

Fantasy scoring is built from exactly these per-game fields. Scrape them across the league to feed projection models, rank players on a consistent basis, and rebuild rankings as the season moves.

Season-over-season comparison

Scrape player statistics on a schedule and diff the results to track how production develops through a season, and to compare a player against their own prior form.

Leading the way in ethical web data collection

Only publicly available data. ISO 27001 certified, SOC 2 controls, GDPR & CCPA compliant. Every use case is reviewed by a dedicated Compliance & Ethics team, backed by a documented Know Your Customer process and Acceptable Use Policy.



Bright Data is used by world's top brands

ESPN Scraper API FAQs

The ESPN Scraper API is a powerful tool designed to automate data extraction from ESPN, allowing users to efficiently gather and process large volumes of data for various use cases.

The ESPN Scraper API works by sending automated requests to ESPN, extracting the necessary data points, and delivering them in a structured format. This process ensures accurate and quick data collection.

Yes, the ESPN Scraper API is designed to comply with data protection regulations, including GDPR and CCPA. It ensures that all data collection activities are performed ethically and legally.

The ESPN Scraper API offers flawless integration with various platforms and tools. You can use it with your existing data pipelines, CRM systems, or analytics tools to improve your data processing capabilities.

There are no specific usage limits for the ESPN Scraper API, offering you the flexibility to scale as needed. Prices start from $0.001 per record, ensuring cost-effective scalability for your web scraping projects.

Yes, we offer dedicated support for the ESPN Scraper API. Our support team is available 24/7 to assist you with any questions or issues you may encounter while using the API.

Amazon S3, Google Cloud Storage, Google PubSub, Microsoft Azure Storage, Snowflake, and SFTP.

JSON, NDJSON, JSON lines, CSV, and .gz files (compressed).

Yes! Every new Bright Data account automatically includes 5,000 free credits per month (approximately $7.50 in value) — no credit card required, no promo code, no commitment. These credits apply to Scrapers (including the ESPN Scraper API), as well as the Unlocker API and SERP API. Credits renew on the 1st of each month, and you can start making API calls immediately after signing up.

The easiest way to scrape ESPN data at scale