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AtlasRepo

Automate Fantasy Sports Intelligence with the Sleeper Scraper

Description and use

Automate fantasy sports data collection from Sleeper using an Apify actor that pulls structured JSON from public endpoints without authentication.

Problem

Collecting up‑to‑date fantasy football and basketball data from Sleeper requires custom API integrations, which is time‑consuming and error‑prone.

Outcome

The actor returns structured records such as trending player counts, league matchup scores, and active player profiles, ready for downstream analytics or dashboard integration.

Workflow

  • 1. Open the Sleeper Fantasy Sports Scraper actor on Apify.
  • 2. Select the desired mode (e.g., trendingPlayers, leagueMatchups, players).
  • 3. Provide required parameters in the input JSON (sport, leagueId, lookbackHours, etc.).
  • 4. Click Start to run the actor; it fetches data directly from Sleeper’s public endpoints.
  • 5. After completion, download the dataset in JSON/CSV/Excel/XML or stream it via webhook/REST API.

Evidence

The Sleeper Fantasy Sports Scraper simplifies the process. It delivers structured data directly from Sleeper’s public JSON API into ready-to-use datasets without requiring authentication, login tokens, or complex scripting.

Source

The actor fetches data directly from the public endpoint without requiring account credentials or proxies.

Source

  • Record date: 2026-09-15T23:15:33.035Z