How to Scrape CoinBrain: A Guide for Crypto Data Extraction

Master CoinBrain web scraping to extract real-time crypto prices, liquidity, and market caps from 3M+ tokens across Ethereum, BNB, and more networks.

Coverage:Global
Available Data8 fields
TitlePriceDescriptionImagesSeller InfoPosting DateCategoriesAttributes
All Extractable Fields
Token NameTicker SymbolCurrent Price (USD)24h Price ChangeMarket CapLiquidity (TVL)24h VolumeTotal SupplyContract AddressBlockchain NetworkSafety ScoreNumber of HoldersTrade HistoryWebsite LinksSocial Media Links
Technical Requirements
JavaScript Required
No Login
Has Pagination
Official API Available
Anti-Bot Protection Detected
CloudflareJavaScript ChallengesRate LimitingIP Blocking

Anti-Bot Protection Detected

Cloudflare
Enterprise-grade WAF and bot management. Uses JavaScript challenges, CAPTCHAs, and behavioral analysis. Requires browser automation with stealth settings.
JavaScript Challenge
Requires executing JavaScript to access content. Simple requests fail; need headless browser like Playwright or Puppeteer.
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.

About CoinBrain

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

Comprehensive Crypto Analytics

CoinBrain is a next-generation crypto analytics platform designed for traders to identify "hidden gems" and trending tokens. It aggregates traditional market data with alternative on-chain insights, providing a comprehensive view of the decentralized finance (DeFi) landscape through multi-chain support.

Data Depth and Visibility

The platform tracks millions of tokens across multiple blockchains, offering tools like trade history, liquidity analysis, and safety checks. For scrapers, this data is invaluable for building trading bots, market monitors, or sentiment analysis tools that require high-fidelity on-chain data.

Professional Trading Insights

By indexing projects on the BNB and Ethereum blockchains, CoinBrain serves as a vital resource for Web3 developers and investors. The platform's automated safety scores and liquidity tracking provide a robust foundation for competitive market research and algorithmic trading strategies.

About CoinBrain

Why Scrape CoinBrain?

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

High-frequency price monitoring for arbitrage opportunities across decentralized exchanges.

Discovering new token launches and trending gems before they hit major exchanges.

Analyzing liquidity pools for rug-pull detection and risk assessment.

Tracking multi-chain market trends and developer activity in a single dashboard.

Data aggregation for building specialized crypto portfolio management tools.

Scraping Challenges

Technical challenges you may encounter when scraping CoinBrain.

Handling Cloudflare Turnstile challenges and initial security verification.

Managing dynamic content rendered via React and Next.js frameworks.

Navigating infinite scroll mechanisms for large token listing datasets.

Staying within official API rate limits while maintaining real-time accuracy.

Scrape CoinBrain 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 CoinBrain. Just type it in plain language — no coding or selectors needed.

2

AI Extracts the Data

Our artificial intelligence navigates CoinBrain, 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

No coding required to build complex crypto data extractors.
Handles Cloudflare and anti-bot challenges automatically.
Cloud execution allows for 24/7 price monitoring without local resources.
Scheduled runs to catch rapid price fluctuations in the volatile crypto market.
Easy export to Google Sheets or API for immediate bot integration.
No credit card requiredFree tier availableNo setup needed

AI makes it easy to scrape CoinBrain 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 CoinBrain. Just type it in plain language — no coding or selectors needed.
  2. AI Extracts the Data: Our artificial intelligence navigates CoinBrain, 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:
  • No coding required to build complex crypto data extractors.
  • Handles Cloudflare and anti-bot challenges automatically.
  • Cloud execution allows for 24/7 price monitoring without local resources.
  • Scheduled runs to catch rapid price fluctuations in the volatile crypto market.
  • Easy export to Google Sheets or API for immediate bot integration.

No-Code Web Scrapers for CoinBrain

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape CoinBrain. 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 CoinBrain

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape CoinBrain. 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

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"
}

def scrape_coinbrain(url):
    # Using a session to manage cookies which help pass basic checks
    session = requests.Session()
    try:
        response = session.get(url, headers=headers)
        if response.status_code == 200:
            soup = BeautifulSoup(response.text, 'html.parser')
            # Note: Selectors may be dynamic, always verify current DOM
            price = soup.select_one('.token-price-selector')
            print(f'Price: {price.text.strip() if price else "Not Found"}')
        else:
            print(f'Blocked or Error: {response.status_code}')
    except Exception as e:
        print(f'Error: {e}')

scrape_coinbrain("https://coinbrain.com/coins/eth-0x...")

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 CoinBrain with Code

Python + Requests
import requests
from bs4 import BeautifulSoup

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"
}

def scrape_coinbrain(url):
    # Using a session to manage cookies which help pass basic checks
    session = requests.Session()
    try:
        response = session.get(url, headers=headers)
        if response.status_code == 200:
            soup = BeautifulSoup(response.text, 'html.parser')
            # Note: Selectors may be dynamic, always verify current DOM
            price = soup.select_one('.token-price-selector')
            print(f'Price: {price.text.strip() if price else "Not Found"}')
        else:
            print(f'Blocked or Error: {response.status_code}')
    except Exception as e:
        print(f'Error: {e}')

scrape_coinbrain("https://coinbrain.com/coins/eth-0x...")
Python + Playwright
from playwright.sync_api import sync_playwright

def run(playwright):
    browser = playwright.chromium.launch(headless=True)
    context = browser.new_context(user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36")
    page = context.new_page()
    page.goto("https://coinbrain.com/trending")
    
    # Wait for the dynamic token elements to appear
    page.wait_for_selector('.coin-row')
    
    coins = page.query_selector_all('.coin-row')
    for coin in coins[:5]:
        name = coin.query_selector('.coin-name').inner_text()
        price = coin.query_selector('.coin-price').inner_text()
        print(f'Token: {name}, Price: {price}')
    
    browser.close()

with sync_playwright() as pw:
    run(pw)
Python + Scrapy
import scrapy

class CoinbrainSpider(scrapy.Spider):
    name = 'coinbrain_spider'
    start_urls = ['https://coinbrain.com/new-coins']

    def parse(self, response):
        # Scrapy-Playwright middleware is recommended for JS execution
        for coin in response.css('.coin-list-item'):
            yield {
                'name': coin.css('.name::text').get(),
                'symbol': coin.css('.symbol::text').get(),
                'price': coin.css('.price::text').get(),
            }
        
        next_page = response.css('a.next-page::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();
  await page.setUserAgent('Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36');
  await page.goto('https://coinbrain.com/trending');

  // Wait for React to hydrate and load data
  await page.waitForSelector('.token-list');

  const data = await page.evaluate(() => {
    const items = document.querySelectorAll('.token-row');
    return Array.from(items).map(item => ({
      name: item.querySelector('.name')?.innerText,
      price: item.querySelector('.price')?.innerText
    }));
  });

  console.log(data);
  await browser.close();
})();

What You Can Do With CoinBrain Data

Explore practical applications and insights from CoinBrain data.

DeFi Arbitrage Bot

Traders can use real-time price data to spot differences between chains and execute profitable swaps.

How to implement:

  1. 1Scrape prices for the same token across different blockchain networks.
  2. 2Identify price discrepancies greater than transaction fees.
  3. 3Trigger a swap via a DEX aggregator API when conditions are met.
  4. 4Log all successful trades for performance analysis.

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

What You Can Do With CoinBrain Data

  • DeFi Arbitrage Bot

    Traders can use real-time price data to spot differences between chains and execute profitable swaps.

    1. Scrape prices for the same token across different blockchain networks.
    2. Identify price discrepancies greater than transaction fees.
    3. Trigger a swap via a DEX aggregator API when conditions are met.
    4. Log all successful trades for performance analysis.
  • New Token Sniper

    Investors can monitor the 'New Coins' section to invest in projects immediately after they are indexed.

    1. Set up a script to scrape the newest listed tokens every 60 seconds.
    2. Filter tokens based on the CoinBrain safety score and liquidity.
    3. Send automated alerts to a Discord or Telegram channel.
    4. Analyze holder distribution for potential rug-pull risks.
  • Market Sentiment Dashboard

    Analysts can aggregate price changes and volume to determine which chains are gaining traction.

    1. Scrape 24h volume and price change for the top 500 tokens.
    2. Categorize data by blockchain (Ethereum, BNB, Base, etc.).
    3. Visualize the net movement of capital between ecosystems.
    4. Publish daily reports for crypto community insights.
  • Historical Price Analysis for ML

    Researchers can collect data to train machine learning models for crypto price prediction.

    1. Schedule daily scrapes of token prices and market caps.
    2. Store data in a time-series database like InfluxDB or PostgreSQL.
    3. Correlate price movements with on-chain liquidity changes.
    4. Train regression models to identify patterns preceding price surges.
More than just prompts

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.

AI Agents
Web Automation
Smart Workflows

Pro Tips for Scraping CoinBrain

Expert advice for successfully extracting data from CoinBrain.

Prioritize the official API for ticker and trade history to avoid breaking changes.

Rotate residential proxies to bypass Cloudflare IP-based rate limiting.

Use persistent browser contexts to maintain cookies after passing security challenges.

Monitor the '/api/v1/ticker' endpoint directly via dev tools for clean JSON.

Implement a 'wait for selector' strategy rather than fixed sleep times.

Schedule scrapes during low-traffic periods to minimize detection risk.

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 CoinBrain

Find answers to common questions about CoinBrain