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...
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.

Why Scrape Moon.ly?
Discover the business value and use cases for extracting data from Moon.ly.
Real-Time Mint Tracking
Extract upcoming NFT mint dates and times to stay ahead of the competitive Solana and Ethereum markets by automating your entry strategy.
Floor Price Arbitrage
Monitor price fluctuations across multiple collections to identify undervalued assets listed below the aggregate floor price.
Social Sentiment Analysis
Track Discord and Twitter growth metrics for new projects to gauge community hype and predict market momentum before secondary trading begins.
Rarity and Trait Valuation
Scrape specific attribute distributions and rarity percentages to build custom valuation models for rare items within a collection.
Whale Activity Monitoring
Analyze transaction logs and wallet addresses to see where high-volume collectors are moving their capital in the NFT ecosystem.
Competitor Benchmarking
Aggregate volume and listing ratios across various NFT chains to analyze market health and project performance relative to competitors.
Scraping Challenges
Technical challenges you may encounter when scraping Moon.ly.
Cloudflare Bot Management
Moon.ly uses advanced Cloudflare WAF protections that can detect and block standard automated requests through browser fingerprinting.
Dynamic React Rendering
As a Single Page Application, the site requires a JavaScript execution environment to render market data that is not present in the initial HTML source.
Frequent Schema Updates
The site's frontend structure and internal data keys change frequently, which can break static scrapers that rely on rigid CSS selectors.
Aggressive Rate Limiting
High-frequency requests to project metadata pages can trigger temporary IP bans unless sophisticated rotation and delay strategies are used.
Scrape Moon.ly with AI
No coding required. Extract data in minutes with AI-powered automation.
How It Works
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.
AI Extracts the Data
Our artificial intelligence navigates Moon.ly, handles dynamic content, and extracts exactly what you asked for.
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
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:
- 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.
- AI Extracts the Data: Our artificial intelligence navigates Moon.ly, handles dynamic content, and extracts exactly what you asked for.
- 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:
- Automated Anti-Bot Bypass: Automatio handles complex Cloudflare challenges and browser fingerprinting automatically, ensuring consistent data extraction without manual coding.
- Visual Point-and-Click Interface: Easily select floor prices, supply counts, and social links using a visual editor that eliminates the need for writing complex selectors.
- High-Frequency Scheduling: Configure your scrapers to run every few minutes to capture the latest floor price movements and transaction events in real-time.
- Headless Browser Stability: Native support for JavaScript-heavy rendering ensures that all dynamic Next.js content is fully loaded before data extraction begins.
- Seamless Data Integration: Directly sync scraped NFT data to Google Sheets or external webhooks to power your own trading bots or analytics dashboards.
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
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
- Install browser extension or sign up for the platform
- Navigate to the target website and open the tool
- Point-and-click to select data elements you want to extract
- Configure CSS selectors for each data field
- Set up pagination rules to scrape multiple pages
- Handle CAPTCHAs (often requires manual solving)
- Configure scheduling for automated runs
- 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:
- 1Scrape Moonly's 'Upcoming' section daily.
- 2Extract Twitter and Discord links for new projects.
- 3Compare follower growth rates over 24-hour periods.
- 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.
- Scrape Moonly's 'Upcoming' section daily.
- Extract Twitter and Discord links for new projects.
- Compare follower growth rates over 24-hour periods.
- Trigger notifications for growth exceeding 20%.
- Real-time Floor Price Monitor
Investors can track floor price dips across multiple collections to find entry points.
- Scrape current floor prices for a watchlist of collections every 10 minutes.
- Store the data in a time-series database.
- Compare current prices against 7-day averages.
- 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.
- Scrape the 'Live Feed' page for recent sales.
- Extract buyer and seller wallet addresses.
- Cross-reference wallet addresses with known whale databases.
- 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.
- Scrape total volume and listing counts for top 100 projects on Solana and Ethereum.
- Aggregate the data to calculate market-wide liquidity.
- Track the 'Mint Price' vs 'Floor Price' ratio for historical success analysis.
- Generate monthly market reports for investors.
Supercharge your workflow with AI Automation
Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.
Pro Tips for Scraping Moon.ly
Expert advice for successfully extracting data from Moon.ly.
Analyze Internal API Requests
Use the browser's Network tab to identify JSON endpoints; fetching data directly from these XHR requests is often faster than parsing HTML.
Use Residential Proxies
To avoid detection by Cloudflare, use high-quality residential IP addresses that mimic real home users rather than datacenter servers.
Set Wait Conditions
Always configure your scraper to wait for specific elements like the '.monitor-table' to ensure the React components have finished hydrating.
Randomize Interaction Patterns
Implement varied delays and occasional scrolling to simulate human browsing behavior, which reduces the likelihood of being flagged as a bot.
Leverage Sitemaps for Discovery
Crawl the sitemap.xml file to find a comprehensive list of all NFT project URLs without having to navigate through complex pagination.
Testimonials
What Our Users Say
Join thousands of satisfied users who have transformed their workflow
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
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
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
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
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
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
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
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
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
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
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
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.
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Frequently Asked Questions About Moon.ly
Find answers to common questions about Moon.ly