🏆 Hyperliquid Leaderboard Scraper

🚀 Export Hyperliquid perpetual trading records in seconds. Pull the full product or entity catalog into clean structured rows ready for analytics and downstream tooling.

🕒 Last updated 2026-06-05 · 📊 12 fields per record · Hyperliquid coverage · Real-time

The Hyperliquid Leaderboard Scraper turns the public Hyperliquid catalog into a clean structured feed. It calls the public storefront or platform API, normalizes the response, and surfaces one record per item.

Coverage spans the live perpetual trading surface of Hyperliquid. Every record carries the most important attributes upstream exposes, normalized into a flat row.

🎯 Target Audience	💡 Primary Use Cases
📊 Data analysts	Mirror Hyperliquid data into structured rows
🏢 Pricing teams	Track listings across runs
🤖 ML engineers	Build training sets from perpetual trading catalogs
📰 Journalists	Verify perpetual trading facts in seconds
🎓 Researchers	Build longitudinal datasets of perpetual trading
👩‍💻 Developers	Pipe Hyperliquid listings into your own warehouse

📋 What the Hyperliquid Leaderboard Scraper does

• Calls the public Hyperliquid endpoint that powers the live page.
• Normalizes the response into one flat row per entity with stable field names.
• Applies optional client-side filters described in the input schema.
• Surfaces upstream rate-limit or error notes as a clean error record.
• Pushes structured rows into your dataset, ready for export in any of the supported download formats.

💡 Why it matters Direct access to the live Hyperliquid catalog without writing scraping code.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
searchQuery	string	No	Optional text filter applied to the wallet address. Leave empty for the full leaderboard.
window	enum	No	Leaderboard time window.
maxItems	integer	No	Free plan caps at 10 items. Paid plans go up to 1,000,000. Prefill 10.

Example 1

{
  "searchQuery": "milk",
  "maxItems": 25
}

Example 2

{
  "maxItems": 50,
  "window": "day"
}

⚠️ Good to Know The upstream endpoint may rate-limit aggressive use. Schedule recurring runs at a sane cadence and keep maxItems reasonable.

📊 Output

Each record is a flat object. The error field is always last.

Field	Type	Description
👛 Address address	string	address value from the upstream record.
💼 Account Value account_value	number	account_value value from the upstream record.
📈 PnL pnl	number	pnl value from the upstream record.
📊 ROI roi	number	roi value from the upstream record.
💱 Volume volume	number	volume value from the upstream record.
🔢 Positions position_count	number	position_count value from the upstream record.
🥇 Top Position top_position	string	top_position value from the upstream record.
🎯 Win Rate win_rate	number	win_rate value from the upstream record.
📅 Days Active days_active	number	days_active value from the upstream record.
🏆 Rank rank	number	rank value from the upstream record.
🕒 scrapedAt	string	When this row was collected.
❌ error	string	Populated only on upstream errors.

Sample record

{
  "address": "0xabc123...",
  "account_value": 2540000,
  "pnl": 180000,
  "roi": 7.5,
  "volume": 45000000,
  "position_count": 4,
  "top_position": "BTC",
  "win_rate": 0.62,
  "days_active": 184,
  "rank": 1,
  "scrapedAt": "2026-06-05T07:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

| 🆓 | Works without an API key for public endpoints. | | 🧹 | Flat schema with stable field names. | | 🔢 | Numeric fields cast to real numbers. | | 🛟 | Upstream errors surface as a clean error record. | | 🔌 | Plays well with Apify schedules and webhooks. | | 💾 | One push to the dataset, multiple download formats. |

📈 How it compares to alternatives

Approach	Setup time	Field normalization	Rate-limit handling
Roll your own fetch	30 minutes plus	manual	manual
Headless browser	hours	partial	partial
This Actor	5 seconds	full	yes

🚀 How to use

1. Click Try for free.
2. Configure the input fields described above.
3. Click Start.
4. Download your dataset in your preferred export format.

💼 Business use cases

📊 Market intelligence. Monitor Hyperliquid perpetual trading listings across time to spot trends.

💼 Operations. Mirror upstream catalog into internal tooling for inventory or compliance.

📰 Reporting. Pull verifiable facts from the live Hyperliquid surface for stories and briefs.

🤖 Machine learning. Build clean training sets from perpetual trading data without writing scrapers.

🔌 Automating Hyperliquid Leaderboard Scraper

• Make and Zapier trigger the actor and route results into Airtable, Google Sheets, or Slack.
• Cron native Apify scheduler runs the actor on any cadence you want.
• Webhooks POST run results straight to your warehouse loader.
• Slack and Discord push a daily digest into your team channel.

🌟 Beyond business use cases

🎓 Education. Teach data analysis with fresh perpetual trading datasets.

🧪 Personal research. Track your own watchlist over time.

🤝 Non-profit and open data. Build public dashboards for civic interest projects.

🧰 Tinkering. Pipe Hyperliquid data into a side project or bot.

🤖 Ask an AI assistant about this scraper

Paste this README into ChatGPT, Claude, or any AI assistant. The schema, examples, and field list above contain everything an LLM needs to map your workflow to actor inputs.

❓ Frequently Asked Questions

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

❓ How fresh is the data? Every run hits the live endpoint.

❓ Can I filter results? Yes via the input schema fields.

❓ Can I limit the result count? Yes via maxItems. Free plan caps at 10.

❓ Will the schema change? Stable core fields. Optional fields may be added if upstream exposes new metadata.

❓ Is this scraping or API? Public API normalization.

❓ Does it handle rate limits? Yes. Upstream rate-limit notes surface as an error record.

❓ Does it follow pagination? Yes when maxItems exceeds one page worth of results.

❓ Can I schedule runs? Yes via Apify scheduler, Make, Zapier, or cron.

❓ Can I integrate with my warehouse? Yes. Apify pipes datasets to BigQuery, Snowflake, Postgres, or any webhook target.

🔌 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 or webhook endpoint. Trigger from a calendar event, a form submission, or a cron job. Pipe results into BigQuery, Snowflake, or Postgres.

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