How to Scrape Moon.ly | Step-by-Step NFT Data Extraction Guide

Extract Solana NFT floor prices, mint dates, and project metadata from Moon.ly. Monitor real-time market analytics to gain a competitive edge in the NFT...

Coverage:Global
Available Data9 fields
TitlePriceDescriptionImagesSeller InfoContact InfoPosting DateCategoriesAttributes
All Extractable Fields
Project NameMint PriceMint DateTotal SupplyFloor PriceFloor Thickness24h Volume7d VolumeTotal Listed CountList RatioTwitter FollowersDiscord MembersProject DescriptionNFT ImagesMarketplace LinksEngagement ScoresLatest Sales EventsWallet Addresses
Technical Requirements
JavaScript Required
No Login
Has Pagination
No Official API
Anti-Bot Protection Detected
CloudflareRate LimitingIP BlockingBrowser Fingerprinting

Anti-Bot Protection Detected

Cloudflare
Enterprise-grade WAF and bot management. Uses JavaScript challenges, CAPTCHAs, and behavioral analysis. Requires browser automation with stealth settings.
Rate Limiting
Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.
IP Blocking
Blocks known datacenter IPs and flagged addresses. Requires residential or mobile proxies to circumvent effectively.
Browser Fingerprinting
Identifies bots through browser characteristics: canvas, WebGL, fonts, plugins. Requires spoofing or real browser profiles.

About Moon.ly

Learn what Moon.ly offers and what valuable data can be extracted from it.

Moon.ly is a premier NFT discovery and analytics platform primarily focused on the Solana ecosystem, while also providing data for Ethereum, Polygon, and Aptos. It serves as a central hub for investors and collectors who need real-time monitoring of upcoming NFT drops, market trends, and project performance. The platform is highly valued for aggregating data from multiple marketplaces like Magic Eden and Tensor, providing a unified view of the ecosystem's 'alpha' projects.

The website hosts a wealth of structured data including floor prices, supply counts, minting schedules, and social engagement metrics like Twitter and Discord growth. By scraping Moon.ly, users can access pre-processed metrics such as 'Floor Thickness' and 'Market Sentiment' which are often difficult to calculate by querying the blockchain directly. This makes it an essential data source for developers, traders, and researchers building analytics tools or tracking digital asset portfolios.

About Moon.ly

Why Scrape Moon.ly?

Discover the business value and use cases for extracting data from Moon.ly.

Identify high-potential Solana NFT projects before they mint.

Monitor real-time floor price fluctuations across different blockchains.

Aggregate social media growth data for sentiment analysis.

Track upcoming mint schedules to build automated investment alerts.

Analyze historical trends of minted projects for market research.

Compare listing ratios across collections to find supply-shock opportunities.

Scraping Challenges

Technical challenges you may encounter when scraping Moon.ly.

Aggressive Cloudflare protection requires high-quality residential proxies.

JavaScript-heavy architecture (Next.js) necessitates headless browser rendering.

Rapidly changing market data requires high-frequency scraping and efficient handling.

Dynamic selectors and responsive design complicate CSS element extraction.

Scrape Moon.ly with AI

No coding required. Extract data in minutes with AI-powered automation.

How It Works

1

Describe What You Need

Tell the AI what data you want to extract from Moon.ly. Just type it in plain language — no coding or selectors needed.

2

AI Extracts the Data

Our artificial intelligence navigates Moon.ly, handles dynamic content, and extracts exactly what you asked for.

3

Get Your Data

Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.

Why Use AI for Scraping

Bypass Cloudflare and anti-bot measures automatically without custom code.
Handles JavaScript-rendered content and dynamic updates natively.
Schedule cloud-based runs to monitor live NFT sales and floor prices 24/7.
Export data directly to Google Sheets, CSV, or Webhooks for immediate action.
No credit card requiredFree tier availableNo setup needed

AI makes it easy to scrape Moon.ly without writing any code. Our AI-powered platform uses artificial intelligence to understand what data you want — just describe it in plain language and the AI extracts it automatically.

How to scrape with AI:
  1. Describe What You Need: Tell the AI what data you want to extract from Moon.ly. Just type it in plain language — no coding or selectors needed.
  2. AI Extracts the Data: Our artificial intelligence navigates Moon.ly, handles dynamic content, and extracts exactly what you asked for.
  3. Get Your Data: Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why use AI for scraping:
  • Bypass Cloudflare and anti-bot measures automatically without custom code.
  • Handles JavaScript-rendered content and dynamic updates natively.
  • Schedule cloud-based runs to monitor live NFT sales and floor prices 24/7.
  • Export data directly to Google Sheets, CSV, or Webhooks for immediate action.

No-Code Web Scrapers for Moon.ly

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Moon.ly. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools

1
Install browser extension or sign up for the platform
2
Navigate to the target website and open the tool
3
Point-and-click to select data elements you want to extract
4
Configure CSS selectors for each data field
5
Set up pagination rules to scrape multiple pages
6
Handle CAPTCHAs (often requires manual solving)
7
Configure scheduling for automated runs
8
Export data to CSV, JSON, or connect via API

Common Challenges

Learning curve

Understanding selectors and extraction logic takes time

Selectors break

Website changes can break your entire workflow

Dynamic content issues

JavaScript-heavy sites often require complex workarounds

CAPTCHA limitations

Most tools require manual intervention for CAPTCHAs

IP blocking

Aggressive scraping can get your IP banned

No-Code Web Scrapers for Moon.ly

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Moon.ly. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools
  1. Install browser extension or sign up for the platform
  2. Navigate to the target website and open the tool
  3. Point-and-click to select data elements you want to extract
  4. Configure CSS selectors for each data field
  5. Set up pagination rules to scrape multiple pages
  6. Handle CAPTCHAs (often requires manual solving)
  7. Configure scheduling for automated runs
  8. Export data to CSV, JSON, or connect via API
Common Challenges
  • Learning curve: Understanding selectors and extraction logic takes time
  • Selectors break: Website changes can break your entire workflow
  • Dynamic content issues: JavaScript-heavy sites often require complex workarounds
  • CAPTCHA limitations: Most tools require manual intervention for CAPTCHAs
  • IP blocking: Aggressive scraping can get your IP banned

Code Examples

import requests
from bs4 import BeautifulSoup

# Target URL for a specific NFT project
url = 'https://moon.ly/nft/okay-bears'

# Essential headers to mimic a real browser
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
    'Accept-Language': 'en-US,en;q=0.9'
}

try:
    # Sending the request with headers
    response = requests.get(url, headers=headers, timeout=10)
    response.raise_for_status()
    
    # Parsing the HTML content
    soup = BeautifulSoup(response.text, 'html.parser')
    
    # Extracting the project name
    title = soup.find('h1').get_text(strip=True) if soup.find('h1') else 'N/A'
    print(f'Project: {title}')
    
except requests.exceptions.HTTPError as err:
    print(f'HTTP error occurred: {err}')
except Exception as e:
    print(f'An error occurred: {e}')

When to Use

Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.

Advantages

  • Fastest execution (no browser overhead)
  • Lowest resource consumption
  • Easy to parallelize with asyncio
  • Great for APIs and static pages

Limitations

  • Cannot execute JavaScript
  • Fails on SPAs and dynamic content
  • May struggle with complex anti-bot systems

How to Scrape Moon.ly with Code

Python + Requests
import requests
from bs4 import BeautifulSoup

# Target URL for a specific NFT project
url = 'https://moon.ly/nft/okay-bears'

# Essential headers to mimic a real browser
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
    'Accept-Language': 'en-US,en;q=0.9'
}

try:
    # Sending the request with headers
    response = requests.get(url, headers=headers, timeout=10)
    response.raise_for_status()
    
    # Parsing the HTML content
    soup = BeautifulSoup(response.text, 'html.parser')
    
    # Extracting the project name
    title = soup.find('h1').get_text(strip=True) if soup.find('h1') else 'N/A'
    print(f'Project: {title}')
    
except requests.exceptions.HTTPError as err:
    print(f'HTTP error occurred: {err}')
except Exception as e:
    print(f'An error occurred: {e}')
Python + Playwright
from playwright.sync_api import sync_playwright

def scrape_moonly(url):
    with sync_playwright() as p:
        # Launching browser with a custom user agent to help bypass detection
        browser = p.chromium.launch(headless=True)
        context = browser.new_context(user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36")
        page = context.new_page()
        
        # Navigate and wait for the page to fully load JS content
        page.goto(url, wait_until='networkidle')
        
        # Extract data using selectors
        title = page.inner_text('h1')
        
        # Locate the floor price based on text labels
        try:
            floor_price = page.locator("text=Floor price").locator(".. >> div").inner_text()
            print(f'Project: {title}, Floor: {floor_price}')
        except:
            print(f'Project: {title}, Floor price not found')
            
        browser.close()

scrape_moonly('https://moon.ly/nft/okay-bears')
Python + Scrapy
import scrapy

class MoonlySpider(scrapy.Spider):
    name = 'moonly_spider'
    start_urls = ['https://moon.ly/solana']

    def parse(self, response):
        # Iterate through project cards on the listing page
        for project in response.css('div.project-card'):
            yield {
                'name': project.css('h3::text').get(),
                'link': response.urljoin(project.css('a::attr(href)').get()),
                'floor': project.css('.floor-price::text').get(),
            }
        
        # Handle pagination by finding the 'next' button link
        next_page = response.css('a.pagination-next::attr(href)').get()
        if next_page:
            yield response.follow(next_page, self.parse)
Node.js + Puppeteer
const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch({ headless: true });
  const page = await browser.newPage();
  
  // Using a custom User-Agent is critical for Cloudflare sites
  await page.setUserAgent('Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36');
  
  // Go to the target NFT collection page
  await page.goto('https://moon.ly/nft/okay-bears', { waitUntil: 'networkidle2' });

  const data = await page.evaluate(() => {
    return {
      title: document.querySelector('h1')?.innerText,
      description: document.querySelector('.project-description')?.innerText,
      mintDate: document.querySelector('.mint-date-selector')?.innerText
    };
  });

  console.log('Extracted Data:', data);
  await browser.close();
})();

What You Can Do With Moon.ly Data

Explore practical applications and insights from Moon.ly data.

NFT Alpha Discovery Bot

Traders can build a bot that monitors social engagement metrics to find projects gaining traction before they go viral.

How to implement:

  1. 1Scrape Moonly's 'Upcoming' section daily.
  2. 2Extract Twitter and Discord links for new projects.
  3. 3Compare follower growth rates over 24-hour periods.
  4. 4Trigger notifications for growth exceeding 20%.

Use Automatio to extract data from Moon.ly and build these applications without writing code.

What You Can Do With Moon.ly Data

  • NFT Alpha Discovery Bot

    Traders can build a bot that monitors social engagement metrics to find projects gaining traction before they go viral.

    1. Scrape Moonly's 'Upcoming' section daily.
    2. Extract Twitter and Discord links for new projects.
    3. Compare follower growth rates over 24-hour periods.
    4. Trigger notifications for growth exceeding 20%.
  • Real-time Floor Price Monitor

    Investors can track floor price dips across multiple collections to find entry points.

    1. Scrape current floor prices for a watchlist of collections every 10 minutes.
    2. Store the data in a time-series database.
    3. Compare current prices against 7-day averages.
    4. Send alerts when the price drops below a specific threshold.
  • Whale Transaction Tracker

    Identify what smart money is buying by monitoring latest sales events and wallet addresses.

    1. Scrape the 'Live Feed' page for recent sales.
    2. Extract buyer and seller wallet addresses.
    3. Cross-reference wallet addresses with known whale databases.
    4. Visualize buying trends for specific collections.
  • Ecosystem Trend Analysis

    Market researchers can analyze the overall health of different NFT chains by tracking aggregate volume and mint success.

    1. Scrape total volume and listing counts for top 100 projects on Solana and Ethereum.
    2. Aggregate the data to calculate market-wide liquidity.
    3. Track the 'Mint Price' vs 'Floor Price' ratio for historical success analysis.
    4. Generate monthly market reports for investors.
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Pro Tips for Scraping Moon.ly

Expert advice for successfully extracting data from Moon.ly.

Use residential proxies to minimize the risk of Cloudflare 403 Forbidden errors.

Target the 'Live' feed page for real-time transaction scraping without blockchain node access.

Set the browser to wait for 'networkidle' to ensure Next.js hydration is complete before extracting data.

Rotate User-Agent headers and implement randomized delays between 5 and 15 seconds.

Utilize a headless browser that can handle canvas or WebGL fingerprinting for better success rates.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Related Web Scraping

Frequently Asked Questions About Moon.ly

Find answers to common questions about Moon.ly