PrizePicks Player Props Scraper — Lines & Odds Tiers

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.

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

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

PrizePicks 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 PrizePicks player prop as structured JSON — player, stat category, over/under line, odds tier (standard, demon, goblin), matchup, and timestamps. 20,000+ props in under 45 seconds across 29 leagues with 51 fields per row. Filter by league, player, team, stat type, or odds tier to cut cost.

Designed for PrizePicks-only monitoring, model feeds, and as input to the DFS Multi-Source Props Scraper for cross-platform line comparison.

When to use this Actor

Use the PrizePicks Player Props Scraper when you need the full PrizePicks board — including demon/goblin tiers, team brand colors, and live-game status — without pulling other platforms.

For Betr, DraftKings Pick6, or Underdog only, use the dedicated single-source scrapers in the suite table above. For all platforms in one run with comparison_key joins, use the DFS Multi-Source Props Scraper.

Key Features

• 51 fields per prop — player profiles, team colors, matchups, odds tiers, timestamps, live status.
• 29 leagues — NBA, MLB, NHL, NFL, WNBA, Soccer, Tennis, PGA, Esports, and more.
• Odds tiers — Standard, demon (harder line), and goblin (easier line) on the same stat.
• Cost-optimized filters — AND logic; filtered-out rows are not billed.
• Real-time lines — Board refreshes every few minutes during active slates.

Input Parameters

Parameter	Description	Default
leagues	One or more leagues, "All", or "Esports".	["NBA"]
playerNames	Comma-separated names. Case- and diacritic-insensitive partial match.	—
statTypes	Comma-separated stat names or abbreviations (PRA, Points, SOT).	—
oddsTiers	standard, demon, goblin. Empty = all tiers.	—
teams	Comma-separated team names or abbreviations.	—
maxProjections	Max output rows (up to 100,000).	30000
prizePicksStateCode	State code sent to public middleware.	"GA"

Input Example

{
  "leagues": ["NBA"],
  "playerNames": "Jokic, LeBron",
  "statTypes": "PRA",
  "oddsTiers": ["demon"],
  "teams": "Lakers"
}

Output Format

{
  "projection_id": "10880149",
  "line": 44.5,
  "stat": "Pts+Rebs+Asts",
  "stat_short": "PRA",
  "odds_tier": "demon",
  "player_name": "LeBron James",
  "player_team": "LAL",
  "league": "NBA",
  "source": "prizepicks",
  "source_type": "dfs"
}

Use cases

Use case	What you get
Slate monitoring	Full PrizePicks board on a schedule
Demon/goblin research	Odds-tier filtered props
Model feeds	Structured lines + matchups for Python/Node pipelines
Cross-book compare	Feed into DFS Multi-Source for spreads
AI / MCP workflows	Run via Apify API, clients, or MCP

Integration examples

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/prizepicks-player-props-scraper').call({
  leagues: ['NBA'],
  maxProjections: 5000,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));

Python

from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/prizepicks-player-props-scraper").call(
    run_input={"leagues": ["MLB"], "maxProjections": 5000}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["player_name"], item["stat_short"], item["line"], item.get("odds_tier"))

cURL

curl "https://api.apify.com/v2/acts/crawloop~prizepicks-player-props-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"leagues": ["NBA"], "maxProjections": 5000}'

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call crawloop/prizepicks-player-props-scraper.

Example prompts:

• "Run PrizePicks Scraper for NBA, max 5000, and return player_name, stat_short, line, odds_tier"
• "Scrape PrizePicks demon-tier PRA props for LeBron and summarize lines"
• "Chain PrizePicks then DFS Multi-Source Props Scraper to compare NBA lines across books"

Suite next step

For cross-platform spreads, use DFS Multi-Source Props Scraper. For Betr-only GraphQL lobby props, use Betr Picks Scraper.

Related Actors — DFS Props

Platform focus	Actor
PrizePicks demon/goblin tiers	PrizePicks Player Props Scraper ◄── you are here
Betr Picks GraphQL lobby	Betr Picks Scraper
DraftKings Pick6 multipliers	DraftKings Pick6 Scraper
Underdog Fantasy props & odds	Underdog Props Scraper
All platforms + line spread	DFS Multi-Source Props Scraper