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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.

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

Product site: crawloop.com/sports-data

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 Multi-Source Board 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 Multi-Source Board.

DFS Props Pipeline

Phase 1 — Single-platform boards Phase 2 — Cross-platform compare
──────────────────────────────── ─────────────────────────────────
 PrizePicks Scraper ◄── you are here ──┐
 Betr Picks Scraper ───────────────────┤
 Pick6 Scraper ───────────────────┼──► Multi-Source Board ──► comparisons dataset
 Underdog 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 (CS2, LoL, Valorant, Dota 2, Call of Duty, Rocket League), AFL, Cricket, 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

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",
"player_team_name":"Lakers",
"league":"NBA",
"home_team":"LAL",
"away_team":"BKN",
"game_start":"2026-03-27T22:30:00.000-04:00",
"status":"pre_game",
"is_live":false,
"duration":"Full",
"source":"prizepicks",
"source_type":"dfs"
}

Typical Workflow

1. Monitor a slate

Run with leagues: ["MLB"] on a schedule during game windows. Export dataset to CSV or webhook.

2. Narrow to high-value props

Add playerNames, statTypes, and oddsTiers filters to reduce volume and cost.

3. Compare with Underdog or Betr

Feed output alongside Underdog Player Props or run the Multi-Source Board for automatic comparison_key joins.

Actor Comparison

API Integration

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("crawloop/prizepicks-player-props-scraper").call(
 run_input={"leagues":["MLB"],"maxProjections":30000}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["player_name"], item["stat_short"], item["line"], item["odds_tier"])

Learn more: Product page · Suite hub · GitHub docs

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