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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

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

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

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"])

Learn more: Suite hub · GitHub docs

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