Is it legal to scrape pump.fun?

Scraping public token and market data from pump.fun is generally legal for research and personal use. However, you should review their Terms of Service and ensure that your scraping frequency does not disrupt their site performance, which could be classified as a DoS attack.

Does pump.fun have an official API?

Currently, pump.fun does not provide a public REST API for developers. Most developers rely on unofficial wrappers, 3rd-party Solana data providers like Birdeye, or custom scrapers that target the site's internal WebSockets and Next.js data structures.

How do I bypass Cloudflare on pump.fun?

To bypass Cloudflare protection, use browser automation tools like Playwright or Puppeteer with 'stealth' plugins. Additionally, rotating residential proxies and mimicking human-like navigation behavior (random delays, mouse movements) is essential for avoiding detection.

What is the best format to store pump.fun data?

Due to the high frequency of updates, a time-series database like InfluxDB or a fast NoSQL database like MongoDB is recommended. For simple analysis, JSON files or a structured SQL database will work, but ensure you index the 'Creation Timestamp' for fast queries.

How often should I scrape the token list?

Since tokens can launch several times per minute, 'scraping' the DOM every few seconds is often too slow and resource-intensive. The most efficient way is to maintain a persistent WebSocket connection to capture events as they happen, or scrape the list every 5-10 seconds using headless browsers.

Can I scrape the comments and live chat?

Yes, every token page contains a live comment section that can be scraped. This is highly useful for sentiment analysis or identifying 'shilling' patterns by automated bot networks.

Do I need a Solana wallet to scrape the data?

No, you do not need a wallet or any login credentials to scrape the public data on pump.fun. The site is open to the public, although some advanced trading features require wallet connection.

What are the common selectors for token data?

Pump.fun uses dynamic class names, but often you can target elements by their hierarchical structure or by finding the JSON blob in the __NEXT_DATA__ script tag. Common data is often found within div elements that contain 'market cap' or 'bonding curve' labels.

How to Scrape pump.fun: A Technical Guide to Real-Time Solana Data

Learn how to scrape pump.fun for real-time Solana token launches, market caps, and bonding curve data. Build high-frequency trading bots and rug-pull alerts.

Start Scraping Free

pump.funHard

Coverage:Global

Available Data7 fields

TitlePriceDescriptionImagesSeller InfoPosting DateAttributes

All Extractable Fields

Token NameTicker SymbolMarket CapitalizationBonding Curve ProgressCreator Wallet AddressToken Mint AddressCreation TimestampTwitter LinkTelegram LinkWebsite LinkTrade HistoryComment CountKing of the Hill StatusTotal SupplyHolder Distribution

Technical Requirements

JavaScript Required

No Login

Has Pagination

No Official API

Anti-Bot Protection Detected

CloudflareRate LimitingBrowser FingerprintingWebSockets

About pump.fun

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

The Epicenter of Solana Meme Coins

pump.fun is a decentralized finance (DeFi) platform on the Solana blockchain that enables users to launch meme coins instantly without providing initial liquidity. It uses a unique 'bonding curve' mechanism where the price increases as more people buy, eventually migrating the token to a major decentralized exchange like Raydium once it reaches a specific market capitalization threshold. The platform has become the epicenter of the Solana meme coin ecosystem, hosting thousands of new token launches daily.

High-Velocity Token Data

The website provides a real-time feed of newly created tokens, their market capitalization, bonding curve progress, and detailed transaction history. It also includes social links (Twitter/Telegram), creator wallet addresses, and live chat logs for every token. Because new projects are launched every few seconds, the site is a high-velocity data source that requires specialized scraping techniques to monitor effectively.

Why This Data is Crucial

Scraping pump.fun is extremely valuable for crypto traders and developers building sniping bots, sentiment analysis tools, or rug-pull detection services. By extracting token metadata and holder behavior in real-time, users can identify high-momentum projects before they hit mainstream exchanges and automate their entry into the market. Given the high stakes of meme coin trading, having an automated data edge is a significant competitive advantage.

Why Scrape pump.fun?

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

Identify new Solana token launches the millisecond they are created.

Monitor bonding curve milestones to predict Raydium migrations.

Analyze creator wallet history to identify serial scammers or high-success developers.

Aggregate community sentiment from live comment feeds.

Build automated high-frequency sniping bots based on market cap momentum.

Extract social media links to perform automated sentiment analysis on X/Telegram.

Scraping Challenges

Technical challenges you may encounter when scraping pump.fun.

Aggressive Cloudflare protection including 403 challenges and JS fingerprinting.

Real-time data updates delivered via WebSockets rather than standard HTTP requests.

Extremely dynamic DOM structure that updates without page reloads using React/Next.js.

Strict IP-based rate limiting on high-frequency requests.

High latency sensitivity where every second counts for trading advantages.

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

AI Extracts the Data

Our artificial intelligence navigates pump.fun, 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

Built-in ability to bypass Cloudflare and browser fingerprinting automatically.

No-code setup for complex JavaScript-rendered elements and token cards.

Cloud-based execution for 24/7 monitoring of the 'New Tokens' feed.

Direct integration with Webhooks to trigger trading bots instantly.

Start Scraping Free

No credit card requiredFree tier availableNo setup needed

No-Code Web Scrapers for pump.fun

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape pump.fun. 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
import json

# Note: pump.fun uses Cloudflare. This approach targets the initial state blob.
url = 'https://pump.fun/board'
headers = {
    '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'
}

try:
    session = requests.Session()
    response = session.get(url, headers=headers)
    
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        # Extract the Next.js data blob containing initial tokens
        next_data = soup.find('script', id='__NEXT_DATA__')
        if next_data:
            data = json.loads(next_data.string)
            print('Successfully extracted initial token data.')
        else:
            print('Dynamic content not found in static HTML.')
    else:
        print(f'Blocked by Cloudflare? Status: {response.status_code}')
except Exception as e:
    print(f'Error: {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

import asyncio
from playwright.async_api import async_playwright

async def scrape_pump_fun():
    async with async_playwright() as p:
        # Launching with stealth settings is recommended
        browser = await p.chromium.launch(headless=True)
        context = await browser.new_context(
            user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36'
        )
        page = await context.new_page()
        
        # Navigate and wait for JS to render the token board
        await page.goto('https://pump.fun/board', wait_until='networkidle')
        await page.wait_for_selector('.token-card')
        
        tokens = await page.query_selector_all('.token-card')
        for token in tokens[:5]:
            name = await (await token.query_selector('.name')).inner_text()
            mcap = await (await token.query_selector('.market-cap')).inner_text()
            print(f'Token: {name} | MCAP: {mcap}')
            
        await browser.close()

asyncio.run(scrape_pump_fun())

When to Use

Use when content loads dynamically via JavaScript, or when you need to interact with the page (clicks, scrolls, form fills). Handles modern anti-bot detection better.

Advantages

●Executes JavaScript like a real browser
●Handles SPAs and dynamic content
●Better anti-bot evasion with stealth plugins
●Can take screenshots and PDFs

Limitations

●Slower than HTTP requests
●Higher memory/CPU usage
●More complex to set up

import scrapy
from scrapy_playwright.page import PageMethod

class PumpFunSpider(scrapy.Spider):
    name = 'pump_spider'
    
    def start_requests(self):
        yield scrapy.Request(
            url='https://pump.fun/board',
            meta={
                'playwright': True,
                'playwright_page_methods': [
                    PageMethod('wait_for_selector', '.token-card')
                ]
            }
        )

    def parse(self, response):
        for token in response.css('.token-card'):
            yield {
                'name': token.css('.token-name::text').get(),
                'ticker': token.css('.ticker::text').get(),
                'mcap': token.css('.mcap-value::text').get(),
            }

When to Use

Ideal for large-scale crawling projects that need to scrape thousands of pages. Built-in support for rate limiting, retries, and data pipelines.

Advantages

●Built for scale (millions of pages)
●Automatic request throttling
●Built-in data export pipelines
●Middleware system for proxies/headers

Limitations

●Steeper learning curve
●Overkill for small projects
●No native JavaScript rendering

const puppeteer = require('puppeteer-extra');
const StealthPlugin = require('puppeteer-extra-plugin-stealth');
puppeteer.use(StealthPlugin());

(async () => {
  const browser = await puppeteer.launch({ headless: true });
  const page = await browser.newPage();
  
  await page.goto('https://pump.fun/board', { waitUntil: 'networkidle2' });
  
  // Wait for the token cards to load dynamically
  await page.waitForSelector('.token-card');
  
  const data = await page.evaluate(() => {
    const cards = Array.from(document.querySelectorAll('.token-card'));
    return cards.map(card => ({
      name: card.querySelector('.name')?.innerText,
      ticker: card.querySelector('.symbol')?.innerText,
      mcap: card.querySelector('.market-cap')?.innerText
    }));
  });
  
  console.log(data);
  await browser.close();
})();

When to Use

Choose this if you're in a Node.js/JavaScript ecosystem or need tight integration with frontend tools. Similar capabilities to Playwright.

Advantages

●Native JavaScript/TypeScript support
●Chrome DevTools Protocol access
●Large ecosystem and community
●Good for JS-heavy projects

Limitations

●Chrome-only (vs Playwright's multi-browser)
●Similar overhead to Playwright
●Less mature stealth options

How to Scrape pump.fun with Code

Python + Requests

import requests
from bs4 import BeautifulSoup
import json

# Note: pump.fun uses Cloudflare. This approach targets the initial state blob.
url = 'https://pump.fun/board'
headers = {
    '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'
}

try:
    session = requests.Session()
    response = session.get(url, headers=headers)
    
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        # Extract the Next.js data blob containing initial tokens
        next_data = soup.find('script', id='__NEXT_DATA__')
        if next_data:
            data = json.loads(next_data.string)
            print('Successfully extracted initial token data.')
        else:
            print('Dynamic content not found in static HTML.')
    else:
        print(f'Blocked by Cloudflare? Status: {response.status_code}')
except Exception as e:
    print(f'Error: {e}')

Python + Playwright

import asyncio
from playwright.async_api import async_playwright

async def scrape_pump_fun():
    async with async_playwright() as p:
        # Launching with stealth settings is recommended
        browser = await p.chromium.launch(headless=True)
        context = await browser.new_context(
            user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36'
        )
        page = await context.new_page()
        
        # Navigate and wait for JS to render the token board
        await page.goto('https://pump.fun/board', wait_until='networkidle')
        await page.wait_for_selector('.token-card')
        
        tokens = await page.query_selector_all('.token-card')
        for token in tokens[:5]:
            name = await (await token.query_selector('.name')).inner_text()
            mcap = await (await token.query_selector('.market-cap')).inner_text()
            print(f'Token: {name} | MCAP: {mcap}')
            
        await browser.close()

asyncio.run(scrape_pump_fun())

Python + Scrapy

import scrapy
from scrapy_playwright.page import PageMethod

class PumpFunSpider(scrapy.Spider):
    name = 'pump_spider'
    
    def start_requests(self):
        yield scrapy.Request(
            url='https://pump.fun/board',
            meta={
                'playwright': True,
                'playwright_page_methods': [
                    PageMethod('wait_for_selector', '.token-card')
                ]
            }
        )

    def parse(self, response):
        for token in response.css('.token-card'):
            yield {
                'name': token.css('.token-name::text').get(),
                'ticker': token.css('.ticker::text').get(),
                'mcap': token.css('.mcap-value::text').get(),
            }

Node.js + Puppeteer

const puppeteer = require('puppeteer-extra');
const StealthPlugin = require('puppeteer-extra-plugin-stealth');
puppeteer.use(StealthPlugin());

(async () => {
  const browser = await puppeteer.launch({ headless: true });
  const page = await browser.newPage();
  
  await page.goto('https://pump.fun/board', { waitUntil: 'networkidle2' });
  
  // Wait for the token cards to load dynamically
  await page.waitForSelector('.token-card');
  
  const data = await page.evaluate(() => {
    const cards = Array.from(document.querySelectorAll('.token-card'));
    return cards.map(card => ({
      name: card.querySelector('.name')?.innerText,
      ticker: card.querySelector('.symbol')?.innerText,
      mcap: card.querySelector('.market-cap')?.innerText
    }));
  });
  
  console.log(data);
  await browser.close();
})();

What You Can Do With pump.fun Data

Explore practical applications and insights from pump.fun data.

Real-time Meme Coin Sniper

Identify and buy promising new tokens the second they are launched on the platform.

How to implement:

1Setup a WebSocket scraper to listen for 'coinCreated' events.
2Apply filters for social links and creator reputation.
3Trigger a purchase transaction via Solana web3.js.
4Monitor bonding curve progress for exit strategy.

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

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

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Pro Tips for Scraping pump.fun

Expert advice for successfully extracting data from pump.fun.

Intercept the WebSocket (WS) connection in your browser's network tab; listening to 'coinCreated' events is faster than scraping the DOM.

Use high-quality residential proxies to avoid IP blocking, especially when running multiple concurrent threads.

Target the 'King of the Hill' section for tokens that have high momentum and are likely to graduate to Raydium soon.

Cross-reference creator wallet addresses with on-chain data to filter out developers who have a history of rug-pulling.

Avoid scraping during peak Solana network congestion as the site's data loading can become inconsistent.

Monitor the __NEXT_DATA__ script tag for the initial page state to avoid waiting for complex React rendering.

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

Mohammed Ibrahim

CEO, qannas.pro

Ben Bressington

CTO, AiChatSolutions

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.

Related Web Scraping

Frequently Asked Questions About pump.fun

Find answers to common questions about pump.fun

How to Scrape pump.fun: A Technical Guide to Real-Time Solana Data

About pump.fun

The Epicenter of Solana Meme Coins

High-Velocity Token Data

Why This Data is Crucial

Why Scrape pump.fun?

Scraping Challenges

Scrape pump.fun with AI

How It Works

Why Use AI for Scraping

How to scrape with AI:

Why use AI for scraping:

No-Code Web Scrapers for pump.fun

Typical Workflow with No-Code Tools

Common Challenges

No-Code Web Scrapers for pump.fun

Typical Workflow with No-Code Tools

Common Challenges

Code Examples

How to Scrape pump.fun with Code

Python + Requests

Python + Playwright

Python + Scrapy

Node.js + Puppeteer

What You Can Do With pump.fun Data

Real-time Meme Coin Sniper

Rug-Pull Detection Dashboard

Sentiment-Based Trend Analysis

Whale Movement Tracker

Bonding Curve Arbitrage

What You Can Do With pump.fun Data

Supercharge your workflow with AI Automation

Pro Tips for Scraping pump.fun

What Our Users Say

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Frequently Asked Questions About pump.fun

Is it legal to scrape pump.fun?

Does pump.fun have an official API?

How do I bypass Cloudflare on pump.fun?

What is the best format to store pump.fun data?

How often should I scrape the token list?

Can I scrape the comments and live chat?

Do I need a Solana wallet to scrape the data?

What are the common selectors for token data?