DraftKings Pick6 Player Props Scraper — Lines & Multipliers

Crawloop DFS Player Props Suite — Real-time player props, over/under lines, and odds from US daily fantasy sports (DFS) pick'em platforms. Built for odds-comparison tools, sports analytics pipelines, and research dashboards.

Suite hub: github.com/PLCSPS-DEV/dfs-player-props

Product site: crawloop.com/sports-data

PrizePicks	Betr Picks	DraftKings Pick6	Underdog Fantasy	Multi-Source
Player Props Scraper	Picks Scraper	Pick6 Scraper ◄── you are here	Player Props Scraper	Props Board

Disclaimer: This is an unofficial integration developed independently of DraftKings. It is not affiliated with, sponsored by, or endorsed by DraftKings or any of its subsidiaries.

DraftKings, Pick6, and related names are trademarks of their respective owners. Data is read from publicly accessible web sources only; no proprietary databases are redistributed.

This Actor is provided for informational and research purposes only. It does not provide betting advice. You are solely responsible for ensuring your use complies with applicable laws, platform terms of use, and your organization's policies.

No warranty is given as to accuracy, completeness, or continued availability of third-party data. Use at your own risk.

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 to bypass Cloudflare/Akamai and geoblocking via US residential proxies. Output follows the Crawloop DFS schema for compatibility with PrizePicks, Betr, and Underdog datasets.

When to use this Actor

Use the DraftKings Pick6 Scraper when you need Pick6 slate props only — lines and standings multipliers (e.g. 0.7x, 1.4x, 3.6x) — without multi-platform overhead.

Pick6 may feature a different featured slate than PrizePicks or Betr; not every prop appears on every board. For cross-platform gap analysis, use the Multi-Source Board.

DFS Props Pipeline

Phase 1 — Single-platform boards          Phase 2 — Cross-platform compare
────────────────────────────────          ─────────────────────────────────

  PrizePicks Scraper  ───────────────────┐
  Betr Picks Scraper  ───────────────────┤
  Pick6 Scraper       ◄── you are here ──┼──► Multi-Source Board ──► comparisons dataset
  Underdog 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

{
  "leagues": ["MLB"],
  "playerNames": "Pages, Gonzales",
  "statTypes": "Hits",
  "teams": "LAD",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Output Format

{
  "projection_id": "6158379_Andy_Pages_Hits",
  "line": 0.5,
  "player_name": "Andy Pages",
  "stat": "Hits",
  "stat_short": "Hits",
  "start_time": "2026-06-21T20:11:11.0000000+00:00",
  "game_start": "2026-06-21T20:11:11.0000000+00:00",
  "league": "MLB",
  "description": "BAL @ LAD",
  "side": "over",
  "price": 0.7,
  "source": "draftkings-pick6",
  "source_type": "dfs",
  "raw": {
    "pickableId": "3536518",
    "dkId": "459808",
    "standingsMultiplier": 0.7,
    "formattedMultiplier": "0.7x"
  }
}

Typical Workflow

1. Scrape the Pick6 featured slate

Run with leagues: ["MLB"] or ["WNBA"] during active windows. US residential proxy is required for reliable access.

2. Filter by player or stat

Narrow output with playerNames and statTypes before pushing to your database.

3. Compare multipliers across books

Join with PrizePicks demon/goblin tiers or run the Multi-Source Board for line_pick6 in comparison rows.

Actor Comparison

Task	Pick6	PrizePicks	Betr	Underdog	Multi-Source
Pick6 payout multipliers	Yes	No	No	Partial	Yes
No login required	Yes	Yes	Yes	Yes	Yes
Featured slate only	Yes	No	No	No	Yes
Cross-platform line spread	No	No	No	No	Yes

Pricing

Pay-per-event billing. Filtered-out projections are not billed.

Event	Price
Prop row	from $0.05 / 1,000 projections

API Integration

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("crawloop/draftkings-pick6-scraper").call(
    run_input={"leagues": ["MLB"]}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["player_name"], item["line"], item["price"])

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Learn more: Suite hub · GitHub docs

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