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โ‡ฑ Underdog Fantasy Player Props Scraper ยท Apify


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Underdog Fantasy Player Props Scraper

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from $0.05 / 1,000 results

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Underdog Fantasy Player Props Scraper

Scrape live Underdog Fantasy player props โ€” over/under lines, American/decimal odds, pitchers, and weather across 18 leagues. Part of Crawloop DFS Props Suite.

Pricing

from $0.05 / 1,000 results

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0.0

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Developer

๐Ÿ‘ Andrej Kiva

Andrej Kiva

Maintained by Community

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7 days ago

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Underdog Fantasy Player Props Scraper โ€” Lines & Odds

Crawloop DFS Player Props Suite โ€” 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

PrizePicksBetr PicksDraftKings Pick6Underdog FantasyMulti-Source
Player Props ScraperPicks ScraperPick6 ScraperPlayer Props Scraper โ—„โ”€โ”€ you are hereProps 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 โ€” over/under lines, American and decimal odds, payout multipliers, matchup metadata, and MLB pitcher/weather context โ€” 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 โ€” higher/lower odds per side, venue and weather fields, probable MLB pitchers โ€” without pulling other platforms.

Underdog is the slowest source in the suite (15โ€“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 โ€” Single-platform boards Phase 2 โ€” Cross-platform compare
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
PrizePicks Scraper โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
Betr Picks Scraper โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
Pick6 Scraper โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ–บ Multi-Source Board โ”€โ”€โ–บ comparisons dataset
Underdog Scraper โ—„โ”€โ”€ you are here โ”€โ”€โ”˜

Key Features

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

Input Parameters

ParameterDescriptionDefault
sourceModedirect, browser_curl, raw_payload, har_text, demo."direct"
sportsUnderdog sport keys (e.g. baseball_mlb, basketball_nba).โ€”
playerNamesComma-separated names. Case-insensitive partial match.โ€”
marketsMarket keys (e.g. player_points, player_hits_runs_rbis).โ€”
teamsComma-separated team abbreviations or names.โ€”
maxPropsMax output rows.5000
curlCommand / rawPayload / harTextAlternative input for replay modes.โ€”
proxyConfigurationUS 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

TaskUnderdogPrizePicksBetrPick6Multi-Source
American/decimal odds per sideYesNoNoPartialYes
Venue & weather metadataYesNoNoNoYes
MLB probable pitchersYesNoNoNoYes
Fastest collectionNoYesYesYesNo
Cross-platform line spreadNoNoNoNoYes

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"])

Learn more: Product page ยท Suite hub ยท GitHub docs

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