# DraftKings Pick6 Player Props Scraper (`crawloop/draftkings-pick6-scraper`) Actor

Scrape live DraftKings Pick6 player props, over/under lines, and payout multipliers. No login. Part of Crawloop DFS Props Suite.

- **URL**: https://apify.com/crawloop/draftkings-pick6-scraper.md
- **Developed by:** [Andrej Kiva](https://apify.com/crawloop) (community)
- **Categories:** Automation, Developer tools, Integrations
- **Features:** Limited permissions
- **Stats:** 14 total users, 3 monthly users, 94.1% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.05 / 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.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## DraftKings Pick6 Player Props Scraper — Lines & Multipliers

> **Disclaimer:** Unofficial tool — not affiliated with, sponsored by, or endorsed by DraftKings or its affiliates. Data is read from publicly accessible pages only. No login. You are responsible for complying with applicable law (including GDPR where personal data appears) and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.

| PrizePicks | DraftKings Pick6 | Underdog Fantasy | Multi-Source |
| :--- | :--- | :--- | :--- |
| [PrizePicks Scraper](https://apify.com/crawloop/prizepicks-player-props-scraper) | **Pick6 Scraper** ◄── you are here | [Underdog Props Scraper](https://apify.com/crawloop/underdog-fantasy-player-props-scraper-real-time-lines-odds) | [DFS Multi-Source](https://apify.com/crawloop/dfs-multi-source-props-scraper) |

Extract every active **DraftKings Pick6 player prop** as structured JSON — player, stat category, over/under line, payout multiplier, and matchup. Completely anonymous: **no login or session cookies required**.

Built on `curl_cffi` with US residential proxies. Output follows the **Crawloop DFS schema** for compatibility with PrizePicks, Betr, and Underdog datasets.

### When not to use this Actor

- **Bet placement, automated wagering, picks, or tips** — this is a read-only informational/research data tool, not a betting product or advice service.
- Account, wallet, private-history, or login-gated workflows are out of scope.

### When to use this Actor

Use the **DraftKings Pick6 Scraper** when you need Pick6 slate props only — lines and standings multipliers — without multi-platform overhead.

For cross-platform gap analysis, use the [DFS Multi-Source Props Scraper](https://apify.com/crawloop/dfs-multi-source-props-scraper).

### Key Features

- **Zero credentials** — Public endpoints only; no DraftKings account required.
- **Stealth and bypass** — `curl_cffi` TLS fingerprint + US residential proxies.
- **Payout multipliers** — `price`, `standingsMultiplier`, and formatted multiplier in `raw`.
- **Standardized schema** — `source: "draftkings-pick6"`, compatible with suite scrapers.
- **Cost-optimized filters** — AND logic on league, player, stat, and team.

### Input Parameters

| Parameter | Description | Default |
| :--- | :--- | :--- |
| `leagues` | One or more leagues or `"All"`. | `["MLB"]` |
| `playerNames` | Comma-separated names. Case-insensitive partial match. | — |
| `statTypes` | Comma-separated stat types (PTS, Hits, Strikeouts). | — |
| `teams` | Comma-separated team abbreviations or names. | — |
| `maxProjections` | Max output rows (up to 100,000). | `30000` |
| `proxyConfiguration` | US residential proxy recommended. | Apify RESIDENTIAL US |

#### Input Example

```json
{
  "leagues": ["MLB"],
  "maxProjections": 5000,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}
```

### Use cases

| Use case | What you get |
| :--- | :--- |
| **Pick6 slate monitoring** | Lines + payout multipliers |
| **Featured-slate research** | Props unique to Pick6 boards |
| **Model feeds** | Normalized DFS schema rows |
| **Cross-book compare** | Feed into DFS Multi-Source |
| **AI / MCP workflows** | Apify API, clients, or MCP |

### Integration examples

#### Node.js

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/draftkings-pick6-scraper').call({
  leagues: ['MLB'],
  maxProjections: 5000,
  proxyConfiguration: {
    useApifyProxy: true,
    apifyProxyGroups: ['RESIDENTIAL'],
    apifyProxyCountry: 'US',
  },
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/draftkings-pick6-scraper").call(
    run_input={
        "leagues": ["MLB"],
        "maxProjections": 5000,
        "proxyConfiguration": {
            "useApifyProxy": True,
            "apifyProxyGroups": ["RESIDENTIAL"],
            "apifyProxyCountry": "US",
        },
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["player_name"], item["line"], item.get("price"))
```

#### cURL

```bash
curl "https://api.apify.com/v2/acts/crawloop~draftkings-pick6-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "leagues": ["MLB"],
    "maxProjections": 5000,
    "proxyConfiguration": {
      "useApifyProxy": true,
      "apifyProxyGroups": ["RESIDENTIAL"],
      "apifyProxyCountry": "US"
    }
  }'
```

### MCP and AI assistants

Use this Actor from AI tools via [Apify MCP](https://docs.apify.com/platform/integrations/mcp). Connect your Apify account, then call `crawloop/draftkings-pick6-scraper`.

Example prompts:

- "Run DraftKings Pick6 Scraper for MLB, max 5000, and return player_name, line, price"
- "Scrape Pick6 props and summarize the highest payout multipliers"
- "Chain Pick6 then DFS Multi-Source Props Scraper to compare MLB lines"

### Suite next step

For cross-platform spreads, use [DFS Multi-Source Props Scraper](https://apify.com/crawloop/dfs-multi-source-props-scraper). For PrizePicks demon/goblin tiers, use [PrizePicks Player Props Scraper](https://apify.com/crawloop/prizepicks-player-props-scraper).

### Related Actors — DFS Props

| Platform focus | Actor |
| :--- | :--- |
| PrizePicks demon/goblin tiers | [PrizePicks Player Props Scraper](https://apify.com/crawloop/prizepicks-player-props-scraper) |
| **Pick6 payout multipliers** | **DraftKings Pick6 Scraper** ◄── you are here |
| Underdog Fantasy props & odds | [Underdog Props Scraper](https://apify.com/crawloop/underdog-fantasy-player-props-scraper-real-time-lines-odds) |
| All platforms + line spread | [DFS Multi-Source Props Scraper](https://apify.com/crawloop/dfs-multi-source-props-scraper) |

# Actor input Schema

## `leagues` (type: `array`):

One or more leagues. Select 'All' for every available league, or specify 'MLB', 'WNBA', 'NFL', etc.

## `playerNames` (type: `string`):

Comma-separated player names. Case-insensitive, diacritic-insensitive (Jokic matches Jokić). Partial matching.

## `statTypes` (type: `string`):

Comma-separated stat types/markets. Accepts names or abbreviations (PTS, Hits, Rebounds, Strikeouts). Exact match, case-insensitive.

## `teams` (type: `string`):

Comma-separated team names or abbreviations (Lakers, LAL, Dodgers, LAD). Matches player's team or either side of matchup.

## `maxProjections` (type: `integer`):

Maximum number of projection records to output for the run.

## `proxyConfiguration` (type: `object`):

Proxy configuration for scraping. Residential proxy is highly recommended as DraftKings blocks datacenter IPs.

## Actor input object example

```json
{
  "leagues": [
    "MLB",
    "WNBA",
    "NFL",
    "NBA",
    "NHL",
    "All"
  ],
  "playerNames": "",
  "statTypes": "",
  "teams": "",
  "maxProjections": 30000,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Default dataset items.

# 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 = {
    "leagues": [
        "MLB",
        "WNBA",
        "NFL",
        "NBA",
        "NHL",
        "All"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawloop/draftkings-pick6-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 = { "leagues": [
        "MLB",
        "WNBA",
        "NFL",
        "NBA",
        "NHL",
        "All",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("crawloop/draftkings-pick6-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 '{
  "leagues": [
    "MLB",
    "WNBA",
    "NFL",
    "NBA",
    "NHL",
    "All"
  ]
}' |
apify call crawloop/draftkings-pick6-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawloop/draftkings-pick6-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/48gfnTN1lXmRW9tXW/builds/UooRnp29dOevnKqhJ/openapi.json