Sleeper Player Props Scraper

hipersoft/sleeper-props-scraper

Scrape live Sleeper player props: player, team, stat, line, over/under payout multipliers, pick popularity, recent game results, average and over hit rate. NFL, NBA, MLB, NHL, college football, WNBA, soccer, tennis, MMA and esports.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per prop line

$0.0003

Last rebuilt

Oct 26, 2026

Overview

Sleeper Player Props Scraper collects live player prop lines from Sleeper across the NFL, NBA, MLB, NHL, college football and basketball, WNBA, soccer, tennis, MMA and esports. For every prop you get the player, team, position, stat, line, over and under payout multipliers, pick popularity, plus the player's recent game results for that stat, recent average and over hit rate. Export to CSV, Excel or JSON for DFS research, line shopping and betting models.

What does it do?

🏈 All Sleeper sports in one run, or filter by sport.
📏 Lines and payouts: the line and the over and under payout multipliers.
🔥 Popularity: how often a pick is taken, where available.
📈 Recent performance: the last games' results for the stat, with average and over hit rate, so you can spot value fast.
🔎 Filters: stat type (points, passing_yards, shots…) and player name.

What data can you scrape?

Field	Description
`sport`	Sport or league
`player`, `playerId`, `team`, `position`	Player
`stat`	Stat type (points, rebounds, receiving_yards, shots…)
`line`	Line value
`overMultiplier`, `underMultiplier`	Payout multipliers
`lineType`	Normal, boosted, etc.
`popularity`, `picks`, `overPicks`, `underPicks`	Pick popularity, where available
`recentPerformance`	Recent games: date, opponent, value
`recentAverage`, `recentHitRateOver`	Recent average and % of games over the line
`gameId`, `gameStatus`, `season`, `seasonType`	Game context
`updatedAt`	Last line update

Use cases

DFS and pick'em research: find props where recent form beats the line.
Line comparison: compare Sleeper lines with sportsbooks and other pick'em apps.
Betting models: payout multipliers and recent stats as model features.
Content and alerts: publish daily top props and boosted lines.

How to use it

Click Try for free to open the scraper in Apify Console.
Pick sports and optionally stat types or a player name.
Click Start and download the props as CSV, Excel or JSON.

Input example

{
  "sports": ["nfl", "nhl"],
  "statTypes": ["receiving_yards", "shots"],
  "includePlayerNames": true,
  "includeRecentPerformance": true
}

Output example

{
  "sport": "nhl",
  "player": "Blake Coleman",
  "team": "MIN",
  "position": "LW",
  "stat": "assists",
  "line": 0.5,
  "overMultiplier": 3.23,
  "underMultiplier": 1.19,
  "gameStatus": "pre_game",
  "recentPerformance": [{ "date": "2026-10-01", "opponent": "NSH", "value": 0 }],
  "recentAverage": 0,
  "recentHitRateOver": 0,
  "updatedAt": "2026-10-06T07:43:01.563Z"
}

How much does it cost?

The scraper uses pay-per-line pricing: a tiny fixed price per prop line, with automatic discounts on higher Apify plans. A full snapshot of all live lines usually costs well under a dollar. See the Pricing tab for the exact price.

More betting and sports data

Action Network Odds Scraper: sportsbook lines and public betting splits.
TennisExplorer Scraper: tennis results and odds.

FAQ

How often do lines change? Constantly. Schedule the scraper (e.g. every 15 minutes) to track line movement.

Are player names included? Yes, with Include player names on.

What formats can I export? CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

Can I integrate it with other apps? The scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JS/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is it legal? The scraper collects publicly displayed prop lines. You are responsible for complying with Sleeper's terms and your local gaming laws.

Notes

Original clean-room implementation. Returns only public data. Not affiliated with Sleeper.

Input

Field	Type	Description
`sports` Sports	array	Only props for these sports. Leave empty for all.
`statTypes` Stat types	array	Only these stats, e.g. points, rebounds, passing_yards, receiving_yards, anytime_touchdowns, shots, hits, strikeouts. Leave empty for all.
`playerNameContains` Player name contains	string	Only props for players whose name contains this text.
`includePlayerNames` Include player names	boolean	Resolve player IDs to full names. Default: `true`
`includeRecentPerformance` Include recent performance	boolean	Add the player's recent game results for the stat, the recent average and how often they went over the line. Default: `true`
`maxItems` Max lines	integer	Stop after this many lines. 0 means all live lines. Default: `0`
`proxyConfiguration` Proxy configuration	object	Not required for normal use. Default: `{"useApifyProxy": false}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~sleeper-props-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "sports": [
    "nfl",
    "nba"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/sleeper-props-scraper").call(run_input={
    "sports": [
        "nfl",
        "nba"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/sleeper-props-scraper').call({
  "sports": [
    "nfl",
    "nba"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Prop line One player prop line in the dataset.	$0.0003	$0.0001

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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