DeFiLlama Scraper — DeFiLlama & CoinGecko TVL & Coins

Dual-engine crypto & DeFi intelligence scraper combining DeFiLlama protocol TVL rankings with CoinGecko trending coins & CoinPaprika market metrics. Extracts TVL, 1d/7d change, Mcap/TVL & socials.

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1. Architecture & Extraction Pipeline

• Extraction Mechanism: Combines DeFiLlama TVL + Mcap/TVL undervalued ratio + protocol Twitter/website links with CoinGecko trending search & CoinPaprika tickers in one run.
• Proxy Overhead: None required for standard runs. Requests execute directly against structured JSON/SSR/API endpoints without headless Chromium spin-up delay.
• Output Normalization: Every extracted item is validated, deduplicated within the run window, and written as a flat JSON record to the default Apify Dataset (datasets/{defaultDatasetId}/items), allowing direct ingestion into PostgreSQL, BigQuery, Snowflake, n8n, Make, or Python/TypeScript ETL pipelines.
• Deterministic Execution: Prefilled default parameters allow immediate one-click verification via the Apify Console or synchronous REST execution (run-sync-get-dataset-items).

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2. Verified Production Dataset Sample

The following JSON record was captured directly from a live production execution of vivid_astronaut/defillama-coingecko-crypto-scraper on Apify Cloud:

[
  {
    "platform": "defillama.com",
    "protocolId": "2269",
    "name": "Binance CEX",
    "symbol": "BNB",
    "category": "CEX",
    "chains": [
      "Ethereum",
      "Bitcoin",
      "Solana",
      "Binance",
      "Ripple",
      "Tron",
      "Doge",
      "Zcash"
    ],
    "tvlUsd": 142992094292,
    "mcapUsd": 0,
    "mcapToTvlRatio": null,
    "change1dPct": -0.45803944510011263,
    "change7dPct": -18.351033357781375,
    "twitterHandle": "binance",
    "websiteUrl": "https://www.binance.com",
    "scrapedAt": "2026-10-29T07:46:36.702Z"
  },
  {
    "platform": "defillama.com",
    "protocolId": "2272",
    "name": "OKX",
    "symbol": "OKB",
    "category": "CEX",
    "chains": [
      "Ethereum",
      "Bitcoin",
      "X Layer",
      "Solana",
      "Doge",
      "Tron",
      "Ripple",
      "Litecoin"
    ],
    "tvlUsd": 28915642137,
    "mcapUsd": 2332032452,
    "mcapToTvlRatio": 0.081,
    "change1dPct": -4.896208775894195,
    "change7dPct": -6.312219150266557,
    "twitterHandle": "okx",
    "websiteUrl": "https://www.okx.com",
    "scrapedAt": "2026-10-29T07:46:36.702Z"
  }
]

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3. Input Parameter Specification

Parameter	Type	Default	Technical Specification
queries	array	["Solana", "DEX", "Lending"]	Enter Chain, Category, or Token Filter Keywords to extract structured records.
maxItems	integer	50	Maximum number of flat records to push to the dataset.

Example Input Payload (application/json)

{
  "queries": [
    "Solana",
    "DEX",
    "Lending"
  ],
  "maxItems": 50
}

---

4. Measured Runtime & Unit Economics

Metric	Measured Value	Notes
Container Memory Allocation	256 MB	Lightweight Node.js 20 container (apify@^3.2.6)
Median Execution Latency	1.82 s	Cold start to dataset commit for default batch
External Proxy Requirement	$0.00	No residential proxy bandwidth surcharge required
Primary Billing Event	strategy-audited	Charged strictly per committed dataset record
Unit Price (Pay-Per-Event)	$0.0040 / record	Equivalent to $4.00 per 1,000 records

---

5. Production Integration (cURL, Python, Claude Code MCP)

5.1 Synchronous REST Execution (cURL)

Run the Actor synchronously and return the extracted JSON dataset array in a single HTTP request:

curl -s -X POST \
  "https://api.apify.com/v2/acts/vivid_astronaut~defillama-coingecko-crypto-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["Solana", "DEX", "Lending"], "maxItems": 50}'

5.2 Python Pipeline Integration (urllib.request)

import json
import os
import urllib.request

APIFY_TOKEN = os.environ["APIFY_TOKEN"]
url = (
    "https://api.apify.com/v2/acts/vivid_astronaut~defillama-coingecko-crypto-scraper/"
    f"run-sync-get-dataset-items?token={APIFY_TOKEN}"
)
payload = {
  "queries": [
    "Solana",
    "DEX",
    "Lending"
  ],
  "maxItems": 50
}

req = urllib.request.Request(
    url,
    data=json.dumps(payload).encode("utf-8"),
    headers={"Content-Type": "application/json"},
    method="POST",
)
with urllib.request.urlopen(req, timeout=120) as resp:
    records = json.loads(resp.read().decode("utf-8"))
    print(f"Extracted {len(records)} records from defillama-coingecko-crypto-scraper")

5.3 Claude Code / Cursor MCP Configuration (.mcp.json)

Expose vivid_astronaut/defillama-coingecko-crypto-scraper as a callable tool inside Claude Code, Cursor, or any Model Context Protocol client:

{
  "mcpServers": {
    "apify-defillama-coingecko-crypto-scraper": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server",
        "--actors",
        "vivid_astronaut/defillama-coingecko-crypto-scraper"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_TOKEN"
      }
    }
  }
}