How to Scrape StubHub: The Ultimate Web Scraping Guide
Learn how to scrape StubHub for real-time ticket prices, event availability, and seating data. Discover how to bypass Akamai and extract market data...
Anti-Bot Protection Detected
- Akamai Bot Manager
- Advanced bot detection using device fingerprinting, behavior analysis, and machine learning. One of the most sophisticated anti-bot systems.
- PerimeterX (HUMAN)
- Behavioral biometrics and predictive analysis. Detects automation through mouse movements, typing patterns, and page interaction.
- 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 StubHub
Learn what StubHub offers and what valuable data can be extracted from it.
StubHub is the world's largest secondary ticket marketplace, providing a massive platform for fans to buy and sell tickets for sports, concerts, theater, and other live entertainment events. Owned by Viagogo, it operates as a secure middleman, ensuring ticket authenticity and processing millions of transactions globally. The site is a treasure trove of dynamic data including venue maps, real-time price fluctuations, and inventory levels.
For businesses and analysts, StubHub data is invaluable for understanding market demand and pricing trends in the entertainment industry. Because the platform reflects the true market value of tickets (often different from original face value), it serves as a primary source for competitive intelligence, economic research, and inventory management for ticket brokers and event promoters.
Scraping this platform allows for the extraction of highly granular data, from specific seat numbers to historical price changes. This data helps organizations optimize their own pricing strategies, forecast the popularity of upcoming tours, and build comprehensive price comparison tools for consumers.

Why Scrape StubHub?
Discover the business value and use cases for extracting data from StubHub.
Real-time monitoring of ticket price fluctuations across different venues
Tracking seat inventory levels to determine event sell-through rates
Competitive analysis against other secondary markets like SeatGeek or Vivid Seats
Gathering historical pricing data for major sports leagues and concert tours
Identifying arbitrage opportunities between primary and secondary markets
Market research for event organizers to gauge fan demand in specific regions
Scraping Challenges
Technical challenges you may encounter when scraping StubHub.
Aggressive anti-bot protection (Akamai) that identifies and blocks automated browser patterns
Extensive use of JavaScript and React for rendering dynamic listing components and maps
Frequent changes to HTML structure and CSS selectors to disrupt static scrapers
Strict IP-based rate limiting that necessitates the use of high-quality residential proxies
Complex seating map interactions that require sophisticated browser automation
Scrape StubHub 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 StubHub. Just type it in plain language — no coding or selectors needed.
AI Extracts the Data
Our artificial intelligence navigates StubHub, 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 StubHub 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 StubHub. Just type it in plain language — no coding or selectors needed.
- AI Extracts the Data: Our artificial intelligence navigates StubHub, 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:
- Effortlessly bypasses advanced anti-bot measures like Akamai and PerimeterX
- Handles complex JavaScript rendering and dynamic content without writing code
- Automates scheduled data collection for 24/7 price and inventory monitoring
- Uses built-in proxy rotation to maintain high success rates and avoid IP bans
No-Code Web Scrapers for StubHub
Point-and-click alternatives to AI-powered scraping
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape StubHub. 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 StubHub
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape StubHub. 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
# StubHub uses Akamai; a simple request will likely be blocked without advanced headers or a proxy.
url = 'https://www.stubhub.com/find/s/?q=concerts'
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',
'Accept-Language': 'en-US,en;q=0.9'
}
try:
# Sending the request with headers to mimic a real browser
response = requests.get(url, headers=headers, timeout=10)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'html.parser')
# Example: Attempting to find event titles (Selectors change frequently)
events = soup.select('.event-card-title')
for event in events:
print(f'Found Event: {event.get_text(strip=True)}')
except requests.exceptions.RequestException as e:
print(f'Request failed: {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 StubHub with Code
Python + Requests
import requests
from bs4 import BeautifulSoup
# StubHub uses Akamai; a simple request will likely be blocked without advanced headers or a proxy.
url = 'https://www.stubhub.com/find/s/?q=concerts'
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',
'Accept-Language': 'en-US,en;q=0.9'
}
try:
# Sending the request with headers to mimic a real browser
response = requests.get(url, headers=headers, timeout=10)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'html.parser')
# Example: Attempting to find event titles (Selectors change frequently)
events = soup.select('.event-card-title')
for event in events:
print(f'Found Event: {event.get_text(strip=True)}')
except requests.exceptions.RequestException as e:
print(f'Request failed: {e}')Python + Playwright
from playwright.sync_api import sync_playwright
def scrape_stubhub():
with sync_playwright() as p:
# Launching a headed or headless browser
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 to a specific event page
page.goto('https://www.stubhub.com/concert-tickets/')
# Wait for dynamic ticket listings to load into the DOM
page.wait_for_selector('.event-card', timeout=10000)
# Extracting data using locator
titles = page.locator('.event-card-title').all_inner_texts()
for title in titles:
print(title)
browser.close()
if __name__ == '__main__':
scrape_stubhub()Python + Scrapy
import scrapy
class StubHubSpider(scrapy.Spider):
name = 'stubhub_spider'
start_urls = ['https://www.stubhub.com/search']
def parse(self, response):
# StubHub's data is often inside JSON script tags or rendered via JS
# This example assumes standard CSS selectors for demonstration
for event in response.css('.event-item-container'):
yield {
'name': event.css('.event-title::text').get(),
'price': event.css('.price-amount::text').get(),
'location': event.css('.venue-info::text').get()
}
# Handling pagination by finding the 'Next' button
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();
// Set a realistic User Agent
await page.setUserAgent('Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36');
try {
await page.goto('https://www.stubhub.com', { waitUntil: 'networkidle2' });
// Wait for the listings to be rendered by React
await page.waitForSelector('.event-card');
const data = await page.evaluate(() => {
const items = Array.from(document.querySelectorAll('.event-card'));
return items.map(item => ({
title: item.querySelector('.event-title-class')?.innerText,
price: item.querySelector('.price-class')?.innerText
}));
});
console.log(data);
} catch (err) {
console.error('Error during scraping:', err);
} finally {
await browser.close();
}
})();What You Can Do With StubHub Data
Explore practical applications and insights from StubHub data.
Dynamic Ticket Pricing Analysis
Ticket resellers can adjust their prices in real-time based on the current market supply and demand observed on StubHub.
How to implement:
- 1Extract competitor prices for specific seating sections every hour.
- 2Identify price trends leading up to the event date.
- 3Automatically adjust listing prices on secondary markets to remain the most competitive.
Use Automatio to extract data from StubHub and build these applications without writing code.
What You Can Do With StubHub Data
- Dynamic Ticket Pricing Analysis
Ticket resellers can adjust their prices in real-time based on the current market supply and demand observed on StubHub.
- Extract competitor prices for specific seating sections every hour.
- Identify price trends leading up to the event date.
- Automatically adjust listing prices on secondary markets to remain the most competitive.
- Secondary Market Arbitrage Bot
Find tickets that are priced significantly below market average for quick reselling profit.
- Scrape multiple ticket platforms (StubHub, SeatGeek, Vivid Seats) simultaneously.
- Compare prices for the exact same row and section.
- Send instant alerts when a ticket on one platform is priced low enough for a profitable flip.
- Event Popularity Forecasting
Promoters use inventory data to decide whether to add more dates to a tour or change venues.
- Monitor the 'Quantity Available' field for a specific performer across several cities.
- Calculate the speed at which inventory is being depleted (velocity).
- Generate demand reports to justify adding additional shows in high-demand areas.
- Venue Analytics for Hospitality
Nearby hotels and restaurants can predict busy nights by tracking sold-out events and ticket volume.
- Scrape upcoming event schedules for local stadiums and theaters.
- Track ticket scarcity to identify 'high-impact' dates.
- Adjust staffing levels and marketing campaigns for peak event nights.
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 StubHub
Expert advice for successfully extracting data from StubHub.
Use high-quality residential proxies. Data center IPs are almost instantly flagged and blocked by Akamai.
Monitor XHR/Fetch requests in your browser's Network tab. Often, StubHub fetches ticket data in JSON format, which is easier to parse than HTML.
Implement random delays and human-like interactions (mouse movements, scrolling) to reduce detection risk.
Focus on scraping specific Event IDs. The URL structure usually includes a unique ID that can be used to build direct links to ticket listings.
Scrape during off-peak hours when server load is lower to minimize the chances of triggering aggressive rate limits.
Rotate between different browser profiles and User-Agents to mimic a diverse group of real users.
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 StubHub
Find answers to common questions about StubHub