scrape-tokens

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This skill should be used when the user asks to "scrape tokens", "get token prices", "check crypto prices", "track token data", "get market cap", or mentions CoinGecko or CoinMarketCap data. Automates token market data collection using agent-browser CLI.

discountry By discountry schedule Updated 1/26/2026

name: scrape-tokens description: This skill should be used when the user asks to "scrape tokens", "get token prices", "check crypto prices", "track token data", "get market cap", or mentions CoinGecko or CoinMarketCap data. Automates token market data collection using agent-browser CLI.

Scrape Tokens

Automate token market data collection from CoinGecko and CoinMarketCap using the agent-browser CLI.

Prerequisites

  • agent-browser CLI installed and accessible
  • Run agent-browser --help to verify installation

Core Workflow

Step 1: Scrape CoinGecko

Navigate to CoinGecko:

agent-browser open https://www.coingecko.com/

Take snapshot to identify elements:

agent-browser snapshot -i

CoinGecko provides:

  • Top cryptocurrencies by market cap
  • 24h price changes
  • Trading volume
  • Market cap rankings

Step 2: Extract Token Data (CoinGecko)

For the main token list, extract:

Field Description
rank Market cap ranking
name Token name
symbol Token symbol (BTC, ETH)
price Current price in USD
change_24h 24-hour price change %
change_7d 7-day price change %
market_cap Market capitalization
volume_24h 24-hour trading volume

JavaScript extraction pattern:

const tokens = [];
document.querySelectorAll('table tbody tr').forEach(row => {
  const cells = row.querySelectorAll('td');
  if (cells.length > 5) {
    tokens.push({
      rank: cells[1]?.innerText,
      name: cells[2]?.querySelector('a')?.innerText,
      price: cells[4]?.innerText,
      change_24h: cells[5]?.innerText,
      market_cap: cells[8]?.innerText
    });
  }
});
return tokens;

Step 3: Scrape CoinMarketCap

Navigate to CoinMarketCap:

agent-browser open https://coinmarketcap.com/

Take snapshot:

agent-browser snapshot -i

CoinMarketCap provides:

  • Similar data to CoinGecko
  • Fear & Greed Index
  • Trending tokens
  • Recently added tokens

Step 4: Extract Token Data (CMC)

Extract similar fields from CoinMarketCap table.

Note: CMC may have different CSS selectors. Use snapshot to identify correct refs.

Step 5: Extract Trending & New Tokens

Both platforms show trending/new tokens. Capture these separately:

CoinGecko Trending:

agent-browser open https://www.coingecko.com/en/discover

CoinMarketCap Trending:

agent-browser open https://coinmarketcap.com/trending-cryptocurrencies/

Extract:

  • Trending tokens (most searched/traded)
  • Recently added tokens
  • Top gainers/losers

Step 6: Compile Results

Merge and deduplicate data from both sources.

Output format (JSON):

{
  "scraped_at": "2025-01-26T12:00:00Z",
  "sources": ["CoinGecko", "CoinMarketCap"],
  "market_overview": {
    "total_market_cap": "$3.2T",
    "btc_dominance": "52.3%",
    "fear_greed_index": 72
  },
  "top_tokens": [
    {
      "rank": 1,
      "name": "Bitcoin",
      "symbol": "BTC",
      "price": "$104,500",
      "change_24h": "+2.5%",
      "change_7d": "-1.2%",
      "market_cap": "$2.1T",
      "volume_24h": "$45B"
    }
  ],
  "trending": [
    {
      "name": "Token Name",
      "symbol": "TKN",
      "price": "$0.45",
      "change_24h": "+150%"
    }
  ],
  "new_listings": [
    {
      "name": "New Token",
      "symbol": "NEW",
      "listed_date": "2025-01-25",
      "price": "$0.01"
    }
  ]
}

Step 7: Generate Report

Markdown format:

# Token Market Report - Jan 26, 2025

## Market Overview

| Metric | Value |
|--------|-------|
| Total Market Cap | $3.2T |
| BTC Dominance | 52.3% |
| Fear & Greed | 72 (Greed) |

## Top 10 Tokens

| Rank | Name | Price | 24h | 7d | Market Cap |
|------|------|-------|-----|-----|------------|
| 1 | Bitcoin (BTC) | $104,500 | +2.5% | -1.2% | $2.1T |
| 2 | Ethereum (ETH) | $3,200 | +1.8% | +3.5% | $380B |

## ๐Ÿ”ฅ Trending

1. **TokenA** (TKA) - $0.45 (+150%)
2. **TokenB** (TKB) - $1.20 (+85%)

## ๐Ÿ†• New Listings

- **NewToken** (NEW) - Listed Jan 25 - $0.01

---
*Data from CoinGecko & CoinMarketCap*

Save files:

  • tokens-YYYY-MM-DD.md
  • tokens-YYYY-MM-DD.json

Step 8: Send Notification (Optional)

If telegram-notification MCP is configured:

Tool: mcp__telegram-notification__send_notification
Parameters:
  message: "๐Ÿ“Š Market Report - Jan 26\n\n๐Ÿ’ฐ BTC: $104,500 (+2.5%)\n๐Ÿ’Ž ETH: $3,200 (+1.8%)\n\n๐Ÿ”ฅ Trending: TokenA +150%"
  parse_mode: "Markdown"

Specific Token Lookup

To get data for a specific token:

# CoinGecko
agent-browser open https://www.coingecko.com/en/coins/bitcoin

# CoinMarketCap
agent-browser open https://coinmarketcap.com/currencies/bitcoin/

Extract detailed token info:

  • Price history
  • All-time high/low
  • Circulating/total supply
  • Contract addresses
  • Exchange listings

agent-browser Quick Reference

Command Purpose
agent-browser open <url> Navigate to page
agent-browser snapshot -i Get interactive elements
agent-browser click @e1 Click element
agent-browser evaluate "js" Execute JavaScript
agent-browser screenshot Capture page image

Handling Pagination

For full token lists:

  1. Identify pagination controls:

    agent-browser snapshot -i
    
  2. Click next page:

    agent-browser click @e[next-button-ref]
    
  3. Extract data from each page

  4. Repeat until desired amount collected

Error Handling

  • If price data unavailable, show "N/A"
  • Handle rate limiting with delays between requests
  • Retry failed requests once
  • Log errors but continue with available data

Output Location

Save reports to current directory or specified path:

  • Default: ./tokens-YYYY-MM-DD.{md,json}
Install via CLI
npx skills add https://github.com/discountry/ritmex-marketplace --skill scrape-tokens
Repository Details
star Stars 5
call_split Forks 0
navigation Branch main
article Path SKILL.md
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