# ESPN PGA Golf Scraper (`parseforge/espn-golf-scraper`) Actor

Scrapes ESPN PGA golf data from scoreboards, teams, and news endpoints. Returns flat rows with scores, player details, and tournament context. Supports date filter and up to 1M results.

- **URL**: https://apify.com/parseforge/espn-golf-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Sports, Automation, Other
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $7.69 / 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

[![ParseForge](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner.jpg)](https://apify.com/parseforge?fpr=vmoqkp)

### ESPN PGA Golf Scraper

**Scrape ESPN PGA Golf data from scoreboards, teams, and news, up to a million results per run.** Get tournament scores, player stats, and news articles in a clean, flat format. No login or API key. Export to CSV, JSON, Excel, or XML.

ESPN's official API requires registration, authentication, and rate limits. This Actor reads the public PGA Golf pages directly, filtered by date and endpoint, and returns each match in one fixed schema. It covers scoreboards, teams, and news, so you can track tournaments, players, and stories without any setup.

| Who uses it | What they scrape ESPN PGA Golf for |
|---|---|
| Sports analysts | Tracking tournament scores and player performance over time |
| Golf fans | Following their favorite players and teams |
| Journalists | Gathering news and updates for articles |
| Data scientists | Building datasets for predictive models |

### What it does

This Actor collects ESPN PGA Golf data from scoreboards, teams, and news endpoints, and returns each item as a flat row.

- 🏌️ **Scoreboard:** Fetch live or historical tournament scores for a specific date.
- 👥 **Teams:** Get team rosters and information for PGA Golf.
- 📰 **News:** Retrieve the latest golf news articles from ESPN.
- 📅 **Date filter:** Specify a YYYYMMDD date for scoreboard data, or leave empty for today.
- 🔢 **Max results:** Control the number of results returned, up to 1,000,000 for paid users.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

### What you can do with ESPN PGA Golf data

**📊 Track tournament scores.**

A sports analyst runs the Actor daily with the scoreboard endpoint to monitor PGA tournament results and update their dashboards.

**📰 Monitor golf news.**

A journalist uses the news endpoint to collect the latest golf stories for a weekly newsletter.

**👥 Analyze team rosters.**

A data scientist scrapes team data to build a database of player affiliations and performance metrics.

**📅 Historical research.**

A golf historian sets a past date to retrieve scoreboard data for a specific tournament and compare with current results.

### Why choose this scraper

| | What you get |
|---|---|
| **No API key** | Access public ESPN data without registration or authentication |
| **Flexible endpoints** | Choose scoreboard, teams, or news to match your needs |
| **Date filtering** | Get historical or current data with a simple date parameter |
| **Scalable** | Fetch up to a million results for large-scale analysis |

### How it compares

This Actor focuses specifically on PGA Golf data from ESPN, while the competitors below offer broader sports coverage or different access methods.

| Feature | ParseForge | ESPN MCP Server | ESPN Sports Scraper | ESPN Scraper - Scores, Fixtures & Teams |
|---|---|---|---|---|
| PGA Golf specific data | Yes | Not listed | Yes | Not listed |
| Scoreboard endpoint | Yes | Yes | Yes | Yes |
| Teams endpoint | Yes | Not listed | Not listed | Yes |
| News endpoint | Yes | Yes | Yes | Not listed |
| Date filter | Yes | Not listed | Not listed | Not listed |
| No API key required | Yes | Not listed | Yes | Not listed |

### Configure the run

Drive the Actor from the endpoint selector and optional date filter, and set a maximum number of results to control your dataset size. The Input tab lists every parameter.

A first run with the defaults:

```json
{
 "endpoint": "scoreboard",
 "maxItems": 10
}
```

A larger pull:

```json
{
 "endpoint": "scoreboard",
 "maxItems": 200
}
```

### Pricing

Pay-per-result: **$0.0085 per result** collected. You pay only for the results written to your dataset.

| Results collected | Approximate cost |
|---|---|
| 100 results | $0.85 |
| 1,000 results | $8.50 |
| 10,000 results | $85.00 |

New Apify accounts start with $5 in free credit.

### Free users

Free-plan runs return up to 10 results as a preview. [Upgrade your Apify plan](https://console.apify.com/sign-up?fpr=vmoqkp) to collect up to 1,000,000 results per run.

### Run it

1. [Create a free Apify account with $5 in credit](https://console.apify.com/sign-up?fpr=vmoqkp).
2. Open the [ESPN PGA Golf Scraper](https://apify.com/parseforge/espn-golf-scraper?fpr=vmoqkp).
3. Set your inputs and any filters, then click **Start**.
4. Export the results as CSV, Excel, JSON, or XML from the **Dataset** tab.

Run it programmatically through the [Apify API](https://docs.apify.com/api/v2) (`run-sync-get-dataset-items`) or the [ApifyClient](https://docs.apify.com/api/client/js) for JavaScript and Python.

### Use with AI agents (MCP)

Give an AI agent live access to ESPN PGA Golf through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

```bash
claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/espn-golf-scraper"
```

Then prompt it in plain language to run the scraper and read back the results.

### Troubleshooting

**Why am I getting no results?**

Check your date filter. If you set a future date or a date with no tournament, the scoreboard may be empty. Also ensure maxItems is set to a positive number.

**I got an error about maxItems.**

Free users are limited to 10 results. If you need more, upgrade to a paid plan or set maxItems to 10 or less.

**The data seems outdated.**

The Actor scrapes live data at run time. If you need the latest, run it again. For scheduled updates, set up a recurring task.

**Can I get data for a specific player?**

The Actor does not have a player filter. You can scrape all data and filter the results in your own processing.

### FAQ

| Question | Answer |
|---|---|
| Do I need an ESPN API key? | No, this Actor scrapes the public ESPN website directly, so no API key or registration is required. |
| What endpoints are supported? | You can choose from scoreboard, teams, and news. Each returns a different type of data. |
| Can I get historical data? | Yes, use the date filter with a YYYYMMDD format to get scoreboard data for a specific past date. |
| Is there a limit on results? | Free users are limited to 10 results per run. Paid users can set maxItems up to 1,000,000. |
| What format is the output? | The Actor returns data as a flat JSON array, which you can export to CSV, Excel, or XML from the Apify platform. |
| How often is the data updated? | The Actor fetches live data from ESPN at the time of the run, so it reflects the current state of the website. |
| Can I scrape multiple dates in one run? | No, the date filter accepts a single date per run. For multiple dates, run the Actor multiple times or use a scheduler. |
| Does this work for other sports? | This Actor is specifically for PGA Golf. For other sports, consider using a general ESPN scraper. |

### Related actors

Browse the full [ParseForge collection](https://apify.com/parseforge?fpr=vmoqkp) for more scrapers.

🆘 **Need help?** Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ **Disclaimer.** This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by ESPN, Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.

# Actor input Schema

## `endpoint` (type: `string`):

ESPN sub-endpoint to fetch.

## `maxItems` (type: `integer`):

Free users: Limited to 10 golf results (preview). Paid users: Optional, max 1,000,000

## `dates` (type: `string`):

Optional YYYYMMDD date for scoreboard. Leave empty for today.

## Actor input object example

```json
{
  "endpoint": "scoreboard",
  "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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "endpoint": "scoreboard",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/espn-golf-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "endpoint": "scoreboard",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/espn-golf-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "endpoint": "scoreboard",
  "maxItems": 10
}' |
apify call parseforge/espn-golf-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,parseforge/espn-golf-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/EegUoQjJqKlsKZs5x/builds/zSc9d4wdbmpzc4Wab/openapi.json