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Hands-on guide to extracting FOMO KOL addresses — learn in 30 seconds, scrape everything in 5 minutes

Biteye
特邀专栏作者
2026-08-18 10:23
This article is about 1527 words, reading the full article takes about 3 minutes
This is insane. Pump.fun actually spent big money to poach FOMO users. What era are we living in?
AI Summary
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  • Core Thesis: This article introduces a practical method to automatically extract KOL wallet addresses from the FOMO app leaderboard and import them into GMGN for real-time monitoring, aiming to help users gain early trading signals and reduce information asymmetry without even downloading FOMO.
  • Key Elements:
    1. FOMO uses a built-in wallet model and does not display user addresses. Users need to capture network traffic (HAR files) to obtain leaderboard data, which includes four rankings: 24h / 7D / 30D / All-time.
    2. When capturing traffic, note that iPhone users need to verify age (an ID card works), and Stream may occupy the VPN channel. Failures often manifest as all CONNECT requests or only Upload data.
    3. HAR files should be sanitized locally (removing Cookie, Authorization, etc.) before being handed to an AI Agent, which uses prompts to extract addresses while excluding clan/token/perp entries, and outputs JSON files in GMGN-compatible format by chain.
    4. GMGN supports batch JSON imports, but EVM addresses may be smart wallets, and standard EOA monitoring may be incomplete; Solana addresses should be prioritized for monitoring, while EVM addresses need cross-checking with FOMO wallet tracking.
    5. Strategy for filtering high-value addresses: addresses appearing on both 7D and 30D rankings show greater persistence; multiple independent addresses buying the same token within a short time frame is more informative than a single KOL signal; MEV bots, developer wallets, and wash-trading addresses need to be filtered out.
    6. The core value of this approach lies in compressing the manual address-extraction process from tens of minutes down to a single traffic capture, enabling on-chain anomaly monitoring that precedes KOL posts.

Recently, more and more P-people have started using Fomo. The reason is simple: it combines wallets, trading, and KOL activity in one place. Users can not only see who is making money but also receive real-time trade alerts from these top traders.

Since Fomo uses a built-in wallet model, the frontend does not directly display user wallet addresses. If you want to receive alerts, you have to use the Fomo app itself.

So the question is: is there a way to receive Fomo KOL trade information without downloading the app? Yes, there is, my friend.

After hands-on testing, we've put together the following automated address-scraping + monitoring guide. Capture the leaderboard request once, have AI compile all four leaderboards, and batch-import them into GMGN.

From now on, you don't have to wait for KOLs to post calls—you can find clues from wallet activity first.

Step 1: Prepare Your Phone and Capture the Fomo Leaderboard

We used an iPhone for testing. If you're on another system, feel free to ask AI how to proceed.

1. Download the Fomo app from the App Store. Make sure to check the description and the publisher—don't download the wrong one!

Side note: the app requires users to be 18 or older to download, and you may need to verify your identity by photographing your credit card, ID card, or passport.

Based on our testing, simply photographing a Chinese ID card is sufficient to pass verification.

2. Next, start packet capture. Go to Fomo's Friends & Leaderboard, scroll through `24h / 7D / 30D / All-time` one by one, refresh each leaderboard once more to confirm there are no new entries, and finally export the HAR file.

Determining whether packet capture succeeded is actually quite simple:

- If you see `GET` with status `200` and JSON in the Response: success;

- If you only see `CONNECT` with Upload but no Download: the CA certificate hasn't taken effect, or there's a VPN conflict.

Friendly reminder: Stream occupies your phone's VPN channel. If you still need a proxy to access Fomo, prioritize using a router-level or upstream proxy, and avoid running two phone VPNs simultaneously.

Step 2: Prepare the HAR File and Send It to an AI Agent for Batch Processing

The raw HAR file may contain cookies, Authorization headers, and device IDs. Redact it locally first—do not upload it directly.

You can copy the prompt directly:

```text
Extract the Fomo trader leaderboards for 24h, 7D, 30D, and All-time from this redacted HAR;
Exclude clan, token, and perp; merge duplicate users and validate Solana/EVM addresses;
Keep missing fields as null, no guessing; output GMGN JSON by chain,
each entry can only contain address, name, emoji.
```

The GMGN format is as follows:

```json
[{"address":"wallet address","name":"fomo:nickname","emoji":"🔥"}]
```

Save separate files for Solana, Base, and BSC, with no more than 2,000 entries per file.

Step 3: Import into GMGN for Real-Time Monitoring

Open `http://gmgn.ai/follow`, go to the batch import button in the top-right corner, and paste the JSON files for different chains separately.

Note: Fomo's EVM addresses may be smart wallets, and standard EOA monitoring may not fully capture their internal transactions. Solana addresses should be prioritized for monitoring; for EVM addresses, cross-check with GMGN's new FOMO wallet tracking and actual on-chain records.

Bonus Tips: Which Addresses Are Worth Watching?

- Only appearing on the 24h list: may have just caught one hot trend—add to the short-term group;

- Appearing on both 7D and 30D lists: shows more consistency—prioritize monitoring;

- Also on the All-time list: add to the long-term observation group;

- Multiple independent addresses buying the same token within a short time frame: more informative than a single KOL buy.

- Also filter out MEV bots, developer wallets, wash-trading addresses, and wallets that only enter after the price has already pumped.

The greatest value of this method isn't about blindly copying trades—it's about compressing what would take tens of minutes of manual address-hunting into a single packet capture. While others are still waiting for KOLs to post, you can already see wallet movements through real-time monitoring.

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