# DraftKings DFS Scraper (`parseforge/draftkings-scraper`) Actor

Scrape DraftKings DFS contests and player salaries by sport. Get contest metadata and optional player details in a flat row.

- **URL**: https://apify.com/parseforge/draftkings-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Other, News, Automation
- **Stats:** 145 total users, 7 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.28 / 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/actors/running/actors-in-store.md#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)

### DraftKings DFS Scraper

**Scrape DraftKings DFS contests and player salaries for any sport, up to a million events per run.** Get contest details, entry fees, prize pools, and player salary data in one fixed schema. No login or API key. Export to CSV, JSON, Excel, or XML.

DraftKings DFS data is scattered across their site and API, and the official API requires authentication and rate limits. This Actor reads the public DFS contest and salary feeds directly, filtered by sport, and returns each event as a flat row. Note: sportsbook betting odds are temporarily unavailable due to DraftKings anti-bot measures; this Actor currently returns DFS data for all data types.

| Who uses it | What they scrape DraftKings for |
|---|---|
| DFS players | Compare contest structures and entry fees across sports to find the best value games. |
| Fantasy sports analysts | Track player salary trends over time to identify underpriced players. |
| Sports betting researchers | Gather DFS contest data as a proxy for market interest in specific games. |

### What it does

This Actor collects DraftKings DFS contests and player salaries by sport, and returns each event as a flat row with contest metadata and optional player details.

- 📊 **DFS contests:** Get contest name, entry fee, prize pool, max entries, and start time.
- 💰 **Player salaries:** Optionally fetch detailed player data including salary, position, and projected points.
- 🏈 **Sport filter:** Choose from NFL, NBA, MLB, NHL, CFB, CBB, PGA, NASCAR, MMA, SOC, TEN, LOL, XFL, or all sports.

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

### What you can do with DraftKings data

**📈 Track DFS contest trends.**

DFS players run this Actor daily to monitor contest sizes and prize pools, helping them decide where to allocate their bankroll.

**💰 Build salary-based models.**

Fantasy analysts scrape player salaries across sports to feed their lineup optimization models and find value plays.

**🏆 Scout the competition.**

Researchers use contest metadata to understand how many entries a typical contest has and what entry fees are most common.

### Why choose this scraper

|  | What you get |
|---|---|
| **Contest metadata** | Get entry fees, prize pools, and start times for every DFS contest. |
| **Player salaries** | Optional detailed player data including salary, position, and projections. |
| **Sport coverage** | All major sports from NFL to MMA, or filter to one league. |
| **No login required** | Public data only, no DraftKings account or API key needed. |

### How it compares

This Actor focuses on DFS contests and salaries, while the competitor specializes in sportsbook odds.

| Feature | ParseForge | DraftKings Odds API - Real-Time Lines & Player Props |
|---|---|---|
| DFS contests and salaries | Yes | Not listed |
| Sportsbook odds | Not listed | Yes |
| Player props | Not listed | Yes |
| Sport filter | Yes | Not listed |
| No login required | Yes | Not listed |

### Configure the run

Drive the Actor by selecting a sport and data type, and set the maximum number of events to collect. The sport filter narrows the feed, and the includeDetails option adds player-level salary data at the cost of longer run times. The Input tab lists every parameter.

A first run with the defaults:

```json
{
  "maxItems": 10
}
```

A larger pull:

```json
{
  "maxItems": 200
}
```

### Pricing

Pay-per-result: **$0.075 per result** collected. You pay only for the results written to your dataset.

| Results collected | Approximate cost |
|---|---|
| 100 results | $7.50 |
| 1,000 results | $75.00 |
| 10,000 results | $750.00 |

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 [DraftKings DFS Scraper](https://apify.com/parseforge/draftkings-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 DraftKings 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/draftkings-scraper"
```

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

### Troubleshooting

**Why am I getting no results?**

Check that the sport you selected has active DFS contests. If you chose a niche sport like XFL, there may be no contests at the time of the run.

**Why is the run taking so long?**

You likely have 'includeDetails' enabled, which makes extra API requests per contest. Disable it for faster runs, or reduce maxItems.

**Why does 'sportsbook' return DFS data?**

DraftKings has blocked sportsbook odds scraping, so this Actor currently returns DFS data for all data types. This is a known limitation.

### FAQ

| Question | Answer |
|---|---|
| Does this scrape DraftKings sportsbook odds? | No, sportsbook odds are temporarily unavailable because DraftKings has blocked them with anti-bot measures. The 'sportsbook' and 'both' data types currently return DFS data only. |
| What sports are supported? | All major sports: NFL, NBA, MLB, NHL, CFB, CBB, PGA, NASCAR, MMA, SOC, TEN, LOL, and XFL. You can also select ALL to get everything. |
| How do I get player salaries? | Set 'includeDetails' to true. This makes additional API requests per contest and can significantly increase run time and cost, so use it only when you need player-level data. |
| Do I need a DraftKings account? | No, this Actor reads public data only, so no login or API key is required. |
| What is the maximum number of events I can collect? | Up to 1,000,000 events per run, but be aware that large runs take longer and cost more. |

### 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 DraftKings, 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

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

How many events to collect per run.

## `dataType` (type: `string`):

Type of data to scrape. DFS = contests and player salaries. NOTE: sportsbook betting odds are temporarily unavailable (blocked by DraftKings anti-bot); 'sportsbook' and 'both' currently return DFS data.

## `sport` (type: `string`):

Sport to scrape. ALL = all available sports. NFL=Football, NBA=Basketball, MLB=Baseball, NHL=Hockey, CFB=College Football, CBB=College Basketball, PGA=Golf, NASCAR=Auto Racing, MMA=Mixed Martial Arts, SOC=Soccer, TEN=Tennis, LOL=League of Legends, XFL=XFL

## `includeDetails` (type: `boolean`):

⚠️ WARNING: Fetching detailed player/draftable data (salaries, positions, projections) can significantly increase the actor's execution time and cost. This option makes additional API requests for each contest and may result in much longer run times and higher usage costs. Only applies to DFS data.

## Actor input object example

```json
{
  "maxItems": 10,
  "dataType": "dfs",
  "sport": "ALL",
  "includeDetails": false
}
```

# Actor output Schema

## `overview` (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 = {
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/draftkings-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 = { "maxItems": 10 }

# Run the Actor and wait for it to finish
run = client.actor("parseforge/draftkings-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 '{
  "maxItems": 10
}' |
apify call parseforge/draftkings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,parseforge/draftkings-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/znJaukxA36y9NiXEC/builds/dDKhXwRiUyg4Fp8Za/openapi.json