# FOMO Trader Profile Scraper (`muhammetakkurtt/fomo-trader-profile-scraper`) Actor

Scrape any FOMO (fomo.family) trader's full profile — stats, holdings with per-position PnL, open and closed trades with their thesis notes, perp positions and PnL history. Enter FOMO handles or user IDs. Export as JSON, CSV or Excel.

- **URL**: https://apify.com/muhammetakkurtt/fomo-trader-profile-scraper.md
- **Developed by:** [Muhammet Akkurt](https://apify.com/muhammetakkurtt) (community)
- **Categories:** Developer tools, Automation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $5.00 / 1,000 trader profile scrapeds

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

![FOMO Trader Profile Scraper — a crypto trader's holdings, trades and PnL from fomo.family](https://i.postimg.cc/P5yx9Qpg/fomo-banner.png)

## FOMO Trader Profile Scraper

**Scrape any FOMO (fomo.family) trader's complete profile — stats, holdings, trades, perp positions and PnL.** Enter a FOMO handle and get the trader's portfolio (with per-position profit/loss), their open and closed trades with the thesis notes they wrote, their perpetual futures positions, and their PnL history — as structured data.

No coding needed. Paste handles, click **Start**, and download as JSON, CSV, Excel, XML, HTML or RSS.

### What is FOMO (fomo.family)?

FOMO is a social crypto copy-trading app where traders publish their on-chain trades, holdings and theses. The **FOMO Trader Profile Scraper** turns any trader's public profile into structured data — ideal for copy-trading research, wallet tracking and market intelligence.

### What data does it extract?

Each trader produces one item containing:

| Section | Fields |
|---|---|
| **Profile** | Handle, display name, Solana & EVM wallet address, bio, Twitter, followers/following, verified, clan, badge |
| **Stats** | Trade count, swap count, total volume, average hold time |
| **Holdings** | Per token: amount, average entry price, realized PnL, cost basis, current price, market cap, 24h change |
| **Portfolio** | Portfolio-level PnL and equity, native EVM balances, Hyperliquid perps account summary |
| **Open Trades** | Per trade: token, entry price, unrealized PnL, cost basis, and the trader's thesis note |
| **Closed Trades** | Per trade: token, entry/exit price, realized PnL, and the thesis note |
| **Perp Positions** | Open and closed perpetual futures positions: coin, side, leverage, entry and liquidation price, realized PnL, funding |
| **PnL History** | PnL / equity snapshots over time |

### Why scrape FOMO trader profiles?

- 🕵️ **Copy-trading research** — see exactly what a top trader holds and trades, with their PnL and reasoning
- 👛 **Wallet tracking** — pull a trader's Solana/EVM addresses and holdings for on-chain analysis
- 📉 **Perps tracking** — follow a trader's leveraged positions, liquidation prices and funding
- 🧾 **Trade theses** — capture the notes traders write on each position
- 📈 **Performance analysis** — export PnL history to chart a trader's returns over time
- 🤖 **Automation** — run it via the [Apify API](https://docs.apify.com/api/v2), on a [schedule](https://docs.apify.com/platform/schedules), with [webhooks](https://docs.apify.com/platform/integrations/webhooks)

### How to use it (step by step)

1. Open the [FOMO Trader Profile Scraper](https://apify.com/muhammetakkurtt/fomo-trader-profile-scraper) on Apify Store and click **Try for free**
2. Enter one or more **Traders** — FOMO handles (e.g., `unipcs`), display names or FOMO user IDs, one per line
3. Choose what to include: **Holdings**, **Trades**, **PnL History**
4. Click **Start**, then export as **JSON**, **CSV**, **Excel**, **XML**, **HTML**, or **RSS**

#### Example input

```json
{
  "traders": ["unipcs"],
  "includeHoldings": true,
  "includeTrades": true,
  "includePnlHistory": true,
  "maxTrades": 50
}
```

#### Input parameters

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `traders` | Array | ✅ Yes | — | FOMO handles, display names or user IDs, one per line. |
| `includeHoldings` | Boolean | No | `true` | Include current holdings with per-position PnL, plus portfolio-level PnL and equity. |
| `includeTrades` | Boolean | No | `true` | Include open and closed spot trades (with thesis notes) and perpetual positions. |
| `includePnlHistory` | Boolean | No | `true` | Include the PnL / equity time series. |
| `maxTrades` | Integer | No | `50` | Cap the number of closed trades and closed perp positions per trader (up to 500). |

### Output example

> The output is the raw structure returned by FOMO (fields as-is; some are nested).

```json
{
  "id": "36adb85a-c0fd-5fa8-916d-8fdc32fe4237",
  "userHandle": "unipcs",
  "displayName": "Unipcs",
  "address": "FJDy9FDRy6bwGEUKuAC98bUtN8MkpE2pT7Dj7HE3Z7Q1",
  "evmAddress": "0x2ac082e252143c89c6e3bcb972e49855f9f6711c",
  "followers": 733575,
  "numTrades": 6319,
  "swapCount": 929,
  "totalVolume": 4794966.5,
  "averageHoldTimeSeconds": 350157,
  "clan": { "id": "715a68a6-...", "name": "Fantom Troupe", "role": "member" },
  "otherPnlV2": -426569.96,
  "livePerpPnl": 0,
  "otherEquity": 2009.99,
  "holdings": [
    { "balance": { "shiftedBalance": 10957912.14 },
      "tokenFilterResult": { "priceUSD": "0.6152", "marketCap": "615222789", "change24": "-0.0346", "token": { "symbol": "PONS" } },
      "userToken": { "averageEntryPriceUsd": 0.00618, "currentRealizedPnlUsd": 0, "currentCostBasisUsd": 67717.32 } }
  ],
  "activeTrades": [
    { "trade": { "tokenMetadata": { "symbol": "EMBER" }, "avgEntryPrice": 0.0157, "unrealizedPnlUsd": -37940.41 },
      "comment": { "comment": "my target for $EMBER remains well above $100 million market cap!", "numLikes": 368 } }
  ],
  "closedTrades": [
    { "trade": { "tokenMetadata": { "symbol": "BNB" }, "avgExitPrice": 771.53, "realizedPnlUsd": -3.23 } }
  ],
  "activePerpPositions": [
    { "position": { "coin": "ZEC", "side": "LONG", "leverage": 4, "remainingAvgEntryPrice": "930.73", "liquidationPriceUsd": "790.79", "fundingPaid": "36692.0" } }
  ],
  "closedPerpPositions": [],
  "pnlHistory": [ { "snapshotId": 1790467200, "pnl": 12900575.78, "equity": 17761798.04 } ]
}
```

### Frequently asked questions

#### How do I find a trader?

Enter their FOMO handle (e.g., `unipcs`) or display name. You can also use a FOMO user ID — for example the `id` field from the [FOMO Top Traders Scraper](https://apify.com/muhammetakkurtt/fomo-top-traders-scraper) — to profile the leaderboard's top traders.

#### Can I look up a trader by wallet address?

No. FOMO's search matches handles and display names, not wallet addresses. Each profile does include the trader's Solana and EVM addresses.

#### How many trades are returned?

Open trades and open perp positions are returned in full; closed trades and closed perp positions are each capped by `maxTrades` (default 50, up to 500), newest first. Increase it to pull more history.

#### What are "thesis notes"?

Many FOMO traders attach a written thesis to each trade explaining their reasoning — the scraper captures these alongside the trade's PnL.

#### How do I get support?

Open an issue on the [Issues tab](https://apify.com/muhammetakkurtt/fomo-trader-profile-scraper/issues) of the actor page, or contact the developer for a custom scraping solution.

# Actor input Schema

## `traders` (type: `array`):

Traders to profile — one per line. Accepts a FOMO handle, display name, or FOMO user ID.

## `includeHoldings` (type: `boolean`):

Include the trader's current token holdings with per-position PnL and cost basis.

## `includeTrades` (type: `boolean`):

Include the trader's open and closed spot trades and perpetual positions, with PnL and their thesis notes.

## `includePnlHistory` (type: `boolean`):

Include the trader's PnL / equity time series.

## `maxTrades` (type: `integer`):

Cap the number of closed spot trades and closed perp positions per trader (up to 500).

## `proxyConfiguration` (type: `object`):

Proxy configuration (optional).

## Actor input object example

```json
{
  "traders": [
    "unipcs"
  ],
  "includeHoldings": true,
  "includeTrades": true,
  "includePnlHistory": true,
  "maxTrades": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

Collected FOMO trader profiles, one item per trader

# 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 = {
    "traders": [
        "unipcs"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("muhammetakkurtt/fomo-trader-profile-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 = { "traders": ["unipcs"] }

# Run the Actor and wait for it to finish
run = client.actor("muhammetakkurtt/fomo-trader-profile-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 '{
  "traders": [
    "unipcs"
  ]
}' |
apify call muhammetakkurtt/fomo-trader-profile-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,muhammetakkurtt/fomo-trader-profile-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/uPqlJjU7HgfZhh2je/builds/lGG5KHpEavMfyfmrL/openapi.json