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FOMO Trader Profile Scraper

Pricing

from $5.00 / 1,000 trader profile scrapeds

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FOMO Trader Profile Scraper

FOMO Trader Profile Scraper

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.

Pricing

from $5.00 / 1,000 trader profile scrapeds

Rating

5.0

(1)

Developer

Muhammet Akkurt

Muhammet Akkurt

Maintained by Community

Actor stats

2

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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FOMO Trader Profile Scraper — a crypto trader's holdings, trades and PnL from fomo.family

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:

SectionFields
ProfileHandle, display name, Solana & EVM wallet address, bio, Twitter, followers/following, verified, clan, badge
StatsTrade count, swap count, total volume, average hold time
HoldingsPer token: amount, average entry price, realized PnL, cost basis, current price, market cap, 24h change
PortfolioPortfolio-level PnL and equity, native EVM balances, Hyperliquid perps account summary
Open TradesPer trade: token, entry price, unrealized PnL, cost basis, and the trader's thesis note
Closed TradesPer trade: token, entry/exit price, realized PnL, and the thesis note
Perp PositionsOpen and closed perpetual futures positions: coin, side, leverage, entry and liquidation price, realized PnL, funding
PnL HistoryPnL / 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, on a schedule, with webhooks

How to use it (step by step)

  1. Open the 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

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

Input parameters

ParameterTypeRequiredDefaultDescription
tradersArray✅ Yes—FOMO handles, display names or user IDs, one per line.
includeHoldingsBooleanNotrueInclude current holdings with per-position PnL, plus portfolio-level PnL and equity.
includeTradesBooleanNotrueInclude open and closed spot trades (with thesis notes) and perpetual positions.
includePnlHistoryBooleanNotrueInclude the PnL / equity time series.
maxTradesIntegerNo50Cap 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).

{
"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 — 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 of the actor page, or contact the developer for a custom scraping solution.