discountry/ritmex-marketplace/scrape-tokens
Claude Code and agent skill by discountry/ritmex-marketplace
- community
Checking that the SKILL.md file is still in the repository.
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.
Install
npx vskill@latest install discountry/ritmex-marketplace/scrape-tokensSKILL.md
Scrape Tokens
Automate token market data collection from CoinGecko and CoinMarketCap using the agent-browser CLI.
Prerequisites
agent-browserCLI installed and accessible- Run
agent-browser --helpto verify installation
Core Workflow
Step 1: Scrape CoinGecko
Navigate to CoinGecko:
Take snapshot to identify elements:
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:
Step 3: Scrape CoinMarketCap
Navigate to CoinMarketCap:
Take snapshot:
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:
CoinMarketCap Trending:
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):
Step 7: Generate Report
Markdown format:
Save files:
tokens-YYYY-MM-DD.mdtokens-YYYY-MM-DD.json
Step 8: Send Notification (Optional)
If telegram-notification MCP is configured:
Specific Token Lookup
To get data for a specific token:
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:
- Identify pagination controls:
``bash agent-browser snapshot -i ``
- Click next page:
``bash agent-browser click @e[next-button-ref] ``
- Extract data from each page
- 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}
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingweb3-agent-browser/skills/scrape-tokens/SKILL.md
Popularity
- 7-day trend score
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