Underdog Fantasy Player Props Scraper — Lines & Odds

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	Player Props Scraper ◄── you are here	Props Board

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

Underdog Fantasy 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 live Underdog Fantasy player props — over/under lines, American and decimal odds, payout multipliers, matchup metadata, and MLB pitcher/weather context — across 18 leagues with 45 structured fields per row.

Underdog aggressively protects its web surface with Cloudflare Turnstile. This Actor provides a production-ready extraction tunnel via CloakBrowser stealth automation, browser cURL replay, HAR ingestion, or raw JSON parsing. Output field names align with the PrizePicks Player Props Scraper for instant cross-platform joins.

When to use this Actor

Use the Underdog Player Props Scraper when you need Underdog-only data — higher/lower odds per side, venue and weather fields, probable MLB pitchers — without pulling other platforms.

Underdog is the slowest source in the suite (15–30s for CloakBrowser collection). For all platforms in one run, use the Multi-Source Board with collectionMode: "sequential" to reduce peak memory.

DFS Props Pipeline

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

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

Key Features

• Real-time odds — American/decimal odds and payout multipliers for Higher and Lower selections.
• CloakBrowser integration — Stealth Chromium bypasses Cloudflare Turnstile and device fingerprint checks.
• US residential proxies — Required; Underdog blocks non-US traffic.
• MLB analytics — Probable starting pitchers, throwing hand, venue type, weather condition and temperature.
• Multiple collection modes — Direct automation, browser cURL replay, HAR text, or raw JSON payloads.
• Cost-optimized filters — Sport, player, market, and team filters applied before dataset push.

Input Parameters

Parameter	Description	Default
sourceMode	direct, browser_curl, raw_payload, har_text, demo.	"direct"
sports	Underdog sport keys (e.g. baseball_mlb, basketball_nba).	—
playerNames	Comma-separated names. Case-insensitive partial match.	—
markets	Market keys (e.g. player_points, player_hits_runs_rbis).	—
teams	Comma-separated team abbreviations or names.	—
maxProps	Max output rows.	5000
curlCommand / rawPayload / harText	Alternative input for replay modes.	—
proxyConfiguration	US residential proxy required.	Apify RESIDENTIAL US

Input Example

{
  "sourceMode": "direct",
  "sports": ["baseball_mlb", "basketball_nba"],
  "markets": ["player_points", "player_hits_runs_rbis"],
  "maxProps": 5000,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Output Format

{
  "projection_id": "abc123",
  "line": 1.5,
  "stat": "hits_runs_rbis",
  "stat_display": "Hits + Runs + RBIs",
  "player_name": "Jose Ramirez",
  "player_team": "CLE",
  "player_position": "3B",
  "league": "MLB",
  "game_start": "2026-06-21T23:10:00Z",
  "home_team": "CLE",
  "away_team": "MIN",
  "higher_american_odds": "-120",
  "higher_decimal_odds": "1.84",
  "lower_american_odds": "-110",
  "lower_decimal_odds": "1.91",
  "venue_name": "Progressive Field",
  "venue_type": "outdoor",
  "weather_condition": "Clear",
  "home_pitcher": "Shane Bieber",
  "source": "underdog",
  "source_type": "dfs"
}

Typical Workflow

1. Automated board pull

Set sourceMode: "direct" with US residential proxy. Schedule during game windows.

2. Fast replay from browser session

Copy a working board request as cURL from DevTools into curlCommand for instant Turnstile bypass.

3. Compare with PrizePicks

Run alongside PrizePicks Player Props Scraper or use the Multi-Source Board for line_underdog vs line_prizepicks in comparison rows.

Actor Comparison

Task	Underdog	PrizePicks	Betr	Pick6	Multi-Source
American/decimal odds per side	Yes	No	No	Partial	Yes
Venue & weather metadata	Yes	No	No	No	Yes
MLB probable pitchers	Yes	No	No	No	Yes
Fastest collection	No	Yes	Yes	Yes	No
Cross-platform line spread	No	No	No	No	Yes

Pricing

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

Scope	Typical cost
Single player filter	~$0.00
WNBA + NBA board (~1,500 lines)	~$0.07
Full 18-league board (~6,000 lines)	~$0.30

Base rate: $0.05 / 1,000 results.

API Integration

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("crawloop/underdog-player-props").call(
    run_input={"sourceMode": "direct", "sports": ["baseball_mlb"]}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["player_name"], item["line"], item["higher_american_odds"])

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Learn more: Product page · Suite hub · GitHub docs

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