🏈 Sleeper NFL Fantasy Public API Scraper

🚀 Export Sleeper trending NFL adds and drops with positions, injury status, and depth chart, straight from the public Sleeper API.

🕒 Last updated: 2026-06-05 · 📊 14 fields per record · Every active NFL player · Trending adds and drops · Positions, injuries, depth charts

The Sleeper NFL Fantasy Public API Scraper turns the api.sleeper.app public endpoint into a clean dataset. It calls the public API with whichever filters you supply, then flattens each record into one row.

Coverage spans every active nfl player · trending adds and drops · positions, injuries, depth charts. Each row carries the most useful identifiers, names, scores, and timestamps the upstream feed exposes.

🎯 Target Audience	💡 Primary Use Cases
🏈 Fantasy NFL managers	Pull the trending wire daily
📊 DFS players	Track injury and depth chart shifts
📰 Fantasy writers	Surface waiver-wire stories fast
🎰 Props researchers	Mine snap shares and depth
🤖 ML engineers	Train waiver-wire models
👩‍💻 Developers	Mirror Sleeper trending into apps

📋 What the Sleeper NFL Fantasy Public API Scraper does

• Calls /players/nfl/trending/add or /players/nfl/trending/drop with hours and limit filters.
• Joins trending counts with the full Sleeper /players/nfl player database.
• Exposes fantasy positions, team, injury status, depth chart order, age, height, weight, and college.
• Casts numeric counts cleanly.
• Surfaces upstream errors as a clean error record.

💡 Why it matters. Sleeper is the largest free NFL fantasy platform. Its trending endpoints expose what every fantasy GM is doing in real time.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
direction	string	No	See examples below.
maxItems	integer	No	Free users 10, paid up to 1,000,000. Prefill is 10.

Example 1, Top trending adds.

{ "direction": "add", "hours": 24, "maxItems": 25 }

Example 2, Trending drops.

{ "direction": "drop", "hours": 24, "maxItems": 25 }

⚠️ Good to Know. The Sleeper API is public and unauthenticated. The /players/nfl payload is large, so the first run may take a few seconds.

📊 Output

Field	Type	Description
🆔 playerId	string	Sleeper player id.
🏷️ fullName	string	Player full name.
🎯 position	string	Primary position.
🏈 team	string	NFL team code.
🩺 injuryStatus	string	Injury status when present.
🎂 age	number	Player age.
📏 height	string	Player height.
⚖️ weight	string	Player weight.
🎓 college	string	College when present.
📈 trendingCount	number	Adds or drops count over the window.
🔁 direction	string	add or drop.
🏷️ fantasyPositions	array	Fantasy-eligible positions.
🕒 scrapedAt	string	When fetched.
❌ error	string	Set when upstream returned an error.

Sample record.

{
  "playerId": "",
  "fullName": "",
  "position": "",
  "team": "",
  "injuryStatus": "",
  "age": 0,
  "height": "",
  "weight": "",
  "college": "",
  "trendingCount": 0,
  "direction": "",
  "fantasyPositions": [],
  "scrapedAt": "2026-06-05T12:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

| 🆓 | Public Sleeper endpoint, no scraping tricks needed. | | 🧹 | Flattens nested upstream payloads into one row per record. | | 🔢 | Casts numeric fields cleanly for spreadsheet imports. | | 🛟 | Surfaces upstream errors as clean rows. | | 🔌 | Filters exposed for the most common slicing needs. | | 💾 | Push to dataset for spreadsheet, warehouse, or webhook export. |

📈 How it compares to alternatives

Approach	Setup	Pagination	Flattening	Export formats
Raw curl	5 min	manual	none	manual
DIY Python script	30 min	yes	partial	code
This Actor	5 seconds	yes	yes	7 formats

🚀 How to use

1. Click Try for free.
2. Pick your filters from the schema above.
3. Click Start. Your dataset is ready in seconds.

💼 Business use cases

📊 Analytics. Mirror Sleeper into a warehouse for dashboards.

🏢 Internal tooling. Mirror the data into private apps without writing client code.

📰 Journalism. Verify and bulk-fetch records for stories.

🤖 Machine learning. Build training sets from a known canonical source.

🔌 Automating Sleeper NFL Fantasy Public API Scraper

• Make / Zapier: schedule a daily run.
• Cron schedule: native Apify scheduler.
• Webhooks: POST on completion.
• Warehouse pipe: native integrations move datasets straight into BigQuery, Snowflake, or Postgres.

🌟 Beyond business use cases

🎓 Education. Teach API integration with a clean dataset.

🧪 Personal research. Track the data you care about.

🤝 Non-profit and open data. Power public dashboards.

🧰 Tinkering and prototyping. Spin up a feed for side projects in seconds.

🤖 Ask an AI assistant about this scraper

Drop this README into ChatGPT, Claude, or any AI assistant and ask it to design a pipeline. The input fields, schema, and examples above contain everything an LLM needs.

❓ Frequently Asked Questions

❓ Do I need an API key? No. The endpoint is public.

❓ Pagination? Yes, handled automatically where the upstream supports it.

❓ Rate limits? The upstream sets the rate limit. The actor surfaces upstream errors cleanly.

❓ Schema stability? Core fields are stable. Optional fields are passed through when present.

❓ Real-time? Yes, every run hits the live endpoint.

❓ Spreadsheet export? Yes, via the Apify dataset UI.

❓ Scheduling? Yes, via the Apify scheduler.

❓ Public data only? Yes.

❓ Free trial? Yes, $5 free credit on signup covers many runs.

❓ Webhook integration? Yes, native Apify webhooks fire on run completion.

🔌 Integrate with any app

Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint. Trigger runs from a calendar event, a form submission, a cron job, or pipe results straight into BigQuery, Snowflake, or a Postgres warehouse.

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