Cara Screening 1000+ Crypto Project Otomatis Pakai Python

Tutorial membangun pipeline screening crypto project dari CryptoRank API. Auto-filter berdasarkan funding, airdrop allocation, dan investor quality.

Mengapa Screening Otomatis?

Ada ribuan project crypto baru setiap bulan. Manual checking satu per satu butuh waktu berjam-jam. Dengan Python + CryptoRank API, kamu bisa screen 1000+ project dalam hitungan menit dan filter berdasarkan kriteria yang kamu tentukan.

Setup: CryptoRank API

CryptoRank punya API gratis (v0) yang mengembalikan data lengkap: funding, investor, tokenomics, airdrop allocation. Tidak perlu API key untuk endpoint dasar.

import urllib.request
import json

url = "https://api.cryptorank.io/v0/coins?limit=1000"
req = urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0"})
res = urllib.request.urlopen(req)
data = json.loads(res.read())

print(f"Total coins: {len(data)}")

Filter Kriteria

1. Funding Amount

Project dengan funding besar punya resource untuk reward user. Filter minimal $1M funding:

funded = [c for c in data if c.get('totalRaised', 0) > 1_000_000]
print(f"Project funding >$1M: {len(funded)}")

2. Airdrop Allocation

Project yang sudah confirm airdrop di tokenomics:

has_airdrop = [
    c for c in funded
    if any(
        'airdrop' in (alloc.get('name','').lower())
        for alloc in c.get('tokenomics', [])
    )
]
print(f"With airdrop allocation: {len(has_airdrop)}")

3. Investor Quality

Top investor = higher chance of legit project:

TOP_INVESTORS = [
    'a16z', 'paradigm', 'sequoia', 'coinbase',
    'binance labs', 'polychain', 'multicoin'
]

def has_top_investor(coin):
    investors = [i.get('name','').lower() for i in coin.get('investors', [])]
    return any(ti in ' '.join(investors) for ti in TOP_INVESTORS)

quality = [c for c in has_airdrop if has_top_investor(c)]

Pipeline Lengkap

def screen_projects():
    # 1. Fetch
    data = fetch_coins()
    
    # 2. Filter funding
    funded = [c for c in data if c.get('totalRaised', 0) > 1_000_000]
    
    # 3. Filter airdrop
    airdrops = [c for c in funded if has_airdrop(c)]
    
    # 4. Score & sort
    for coin in airdrops:
        coin['score'] = calculate_score(coin)
    
    airdrops.sort(key=lambda c: c['score'], reverse=True)
    
    # 5. Export
    return airdrops[:50]  # top 50

def calculate_score(coin):
    score = 0
    score += min(coin.get('totalRaised', 0) / 1_000_000, 30)  # max 30
    score += 20 if has_top_investor(coin) else 0
    score += 15 if has_airdrop(coin) else 0
    stage = coin.get('stage', '').lower()
    if 'mainnet' in stage: score += 15
    elif 'testnet' in stage: score += 10
    return score

Output ke Google Sheets

Hasil screening bisa langsung masuk ke Google Sheets untuk tracking:

import urllib.request

SHEET_URL = "https://script.google.com/macros/s/AKfyc.../exec"

def push_to_sheets(projects):
    entries = []
    for p in projects:
        entries.append({
            "Project Name": p['name'],
            "Funding": f"${p['totalRaised']:,.0f}",
            "Status": p.get('status', 'Unknown'),
            "Priority Score": p['score']
        })
    
    payload = json.dumps({"entries": entries}).encode()
    req = urllib.request.Request(SHEET_URL, data=payload, method='POST',
        headers={"Content-Type": "application/json"})
    urllib.request.urlopen(req)

Kapan Harus Mulai Farming?

Manday

Founder LYID — Layer Airdrop ID. Membangun bot automasi crypto sejak 2024.