# Hyperliquid Leaderboard Scraper (`parseforge/hyperliquid-leaderboard-scraper`) Actor

Scrapes the Hyperliquid leaderboard by time window and optional trader address. Returns each trader's address, PnL, ROI, volume, and account value as a flat row.

- **URL**: https://apify.com/parseforge/hyperliquid-leaderboard-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Developer tools, Automation, Other
- **Stats:** 2 total users, 1 monthly users, 89.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $7.69 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

[![ParseForge](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner.jpg)](https://apify.com/parseforge?fpr=vmoqkp)

### Hyperliquid Leaderboard Scraper

**Scrape the Hyperliquid leaderboard by time window or trader address, up to a million entries per run.** Each row includes the trader's address, PnL, ROI, volume, and account value. No API key or login. Export to CSV, JSON, Excel, or XML.

Hyperliquid's official API needs an account and rate-limits you. This reads the public leaderboard directly, filtered by 24 hours, 7 days, 30 days, or all time, and returns each trader in one fixed schema. Search by wallet address to isolate a single trader or a group.

| Who uses it | What they scrape Hyperliquid for |
|---|---|
| Quantitative researchers | Which traders consistently rank in the top 100 across multiple time windows |
| Copy traders | Find profitable wallets to mirror before they become widely known |
| DeFi analysts | Track how leaderboard composition shifts after major market moves |
| Crypto media | Pull the latest top trader lists for weekly performance roundups |

### What it does

This Actor collects Hyperliquid leaderboard entries by time window and optional trader address, and returns each one as a flat row.

- ⏱️ **Time windows:** 24 hours, 7 days, 30 days, or all time, selected with one dropdown.
- 🔍 **Trader search:** filter by wallet address to pull a single trader or a shortlist.
- 📊 **Flat rows:** every entry comes back as one row with address, PnL, ROI, volume, and account value.
- 📦 **Bulk export:** collect up to 1,000,000 entries per run and export to CSV, JSON, Excel, or XML.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

### What you can do with Hyperliquid data

**📈 Track top traders over time.**

A quant researcher runs the Actor daily for the 7-day window and stores the CSV to see which wallets stay in the top 100 and which drop out.

**🪞 Build a copy-trading shortlist.**

A copy trader pulls the all-time leaderboard, filters by ROI, and exports the top 50 addresses to monitor on-chain.

**📰 Publish weekly leaderboard roundups.**

A crypto newsletter runs the Actor every Monday for the 7-day window and turns the JSON into a ranked table of the week's best traders.

**🔎 Investigate a specific wallet.**

A DeFi analyst searches a wallet address across all four time windows to see how its performance changes from day to all-time.

### Why choose this scraper

|  | What you get |
|---|---|
| **No API key** | Read the public leaderboard without registering an app or handling OAuth. |
| **One fixed schema** | Every row has the same fields, so you can append runs and compare across time windows. |
| **Runs on Apify** | Schedule daily or weekly runs and get the latest leaderboard without writing code. |

### How it compares

This Actor focuses on the leaderboard only, with a simple time-window filter and address search, while the competitors below add whale tracking, vault metrics, or on-chain depth.

| Feature | ParseForge | Hyperliquid Whale Tracker | Hyperliquid Leaderboard & Vaults Scraper | Hyperliquid Top Traders Leaderboard |
|---|---|---|---|---|
| Leaderboard by time window | Yes | Not listed | Yes | Yes |
| Filter by trader address | Yes | Not listed | Not listed | Not listed |
| Vault performance metrics | No | Not listed | Yes | Not listed |
| Whale position tracking | No | Yes | Not listed | Not listed |
| On-chain data | No | Not listed | Not listed | Yes |
| No API key required | Yes | Not listed | Not listed | Yes |

### Configure the run

Drive the Actor from a time window and an optional trader address, and filters run as each entry is read so only matches reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

```json
{
  "maxItems": 10
}
```

A larger pull:

```json
{
  "maxItems": 200
}
```

### Pricing

Pay-per-result: **$0.0085 per result** collected. You pay only for the results written to your dataset.

| Results collected | Approximate cost |
|---|---|
| 100 results | $0.85 |
| 1,000 results | $8.50 |
| 10,000 results | $85.00 |

New Apify accounts start with $5 in free credit.

### Free users

Free-plan runs return up to 10 results as a preview. [Upgrade your Apify plan](https://console.apify.com/sign-up?fpr=vmoqkp) to collect up to 1,000,000 results per run.

### Run it

1. [Create a free Apify account with $5 in credit](https://console.apify.com/sign-up?fpr=vmoqkp).
2. Open the [Hyperliquid Leaderboard Scraper](https://apify.com/parseforge/hyperliquid-leaderboard-scraper?fpr=vmoqkp).
3. Set your inputs and any filters, then click **Start**.
4. Export the results as CSV, Excel, JSON, or XML from the **Dataset** tab.

Run it programmatically through the [Apify API](https://docs.apify.com/api/v2) (`run-sync-get-dataset-items`) or the [ApifyClient](https://docs.apify.com/api/client/js) for JavaScript and Python.

### Use with AI agents (MCP)

Give an AI agent live access to Hyperliquid through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

```bash
claude mcp add --transport http apify "https://mcp.apify.com/?tools=parseforge/hyperliquid-leaderboard-scraper"
```

Then prompt it in plain language to run the scraper and read back the results.

### Troubleshooting

**Why am I getting no results?**

Check your searchQuery. If you entered a wallet address, make sure it is correct and that the trader appears in the selected time window. Try leaving searchQuery empty to see the full leaderboard.

**Why are there fewer results than my maxItems?**

The leaderboard itself may have fewer entries than your maxItems. For example, the all-time window may show only a few hundred traders. Lower maxItems or switch windows.

**Why is the run slow?**

Large maxItems values can take longer. The Actor reads the leaderboard in pages, so a million entries will take more time. Reduce maxItems if you only need the top traders.

**Can I get more than the top 100?**

The public leaderboard endpoint may limit how many entries are returned. If you need deeper data, consider a dedicated Hyperliquid scraper that reads on-chain data.

### FAQ

| Question | Answer |
|---|---|
| Do I need a Hyperliquid API key? | No. The Actor reads the public leaderboard endpoint directly, so no account, key, or login is required. |
| What time windows can I scrape? | You can choose 24 hours, 7 days, 30 days, or all time. The window is a dropdown in the input. |
| Can I filter by trader address? | Yes. The optional searchQuery field filters the leaderboard by wallet address. Leave it empty to get the full leaderboard. |
| How many entries can I get in one run? | You can set maxItems up to 1,000,000. The default is 10, but the leaderboard itself may have fewer entries than your limit. |
| What fields does each row include? | Each row includes the trader's address, PnL, ROI, trading volume, and account value. The exact field list is shown in the sample output. |
| Can I schedule this to run automatically? | Yes. On Apify you can schedule the Actor to run hourly, daily, or weekly, and store the results in a dataset or send them to a webhook. |
| Is the data real-time? | The Actor reads the leaderboard at the moment the run starts. For real-time updates, schedule frequent runs. |
| What export formats are supported? | You can export the results to CSV, JSON, Excel, or XML from the Apify dataset. |
| Does this include vault data? | No, this Actor only scrapes the trader leaderboard. For vault performance, use a dedicated vault scraper. |
| Can I get historical leaderboard data? | The Actor returns the current leaderboard for the selected window. To build history, schedule regular runs and store the results. |

### Related actors

Browse the full [ParseForge collection](https://apify.com/parseforge?fpr=vmoqkp) for more scrapers.

🆘 **Need help?** Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ **Disclaimer.** This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Hyperliquid Labs. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.

# Actor input Schema

## `searchQuery` (type: `string`):

Optional text filter applied to the wallet address. Leave empty for the full leaderboard.

## `maxItems` (type: `integer`):

How many leaderboard entries to collect per run.

## `window` (type: `string`):

Leaderboard time window.

## Actor input object example

```json
{
  "maxItems": 10
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/hyperliquid-leaderboard-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "maxItems": 10 }

# Run the Actor and wait for it to finish
run = client.actor("parseforge/hyperliquid-leaderboard-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxItems": 10
}' |
apify call parseforge/hyperliquid-leaderboard-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,parseforge/hyperliquid-leaderboard-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/fxVKNAxwAeP0TBsc3/builds/EAAe3KUtkr5QudA0K/openapi.json