How to Scrape eBay | eBay Web Scraper Guide
Master eBay web scraping in 2025. Extract product listings, sold prices, and seller data while bypassing Akamai and DataDome for market research.
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.
- DataDome
- Real-time bot detection with ML models. Analyzes device fingerprint, network signals, and behavioral patterns. Common on e-commerce sites.
- Google reCAPTCHA
- Google's CAPTCHA system. v2 requires user interaction, v3 runs silently with risk scoring. Can be solved with CAPTCHA services.
- Rate Limiting
- Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.
- Browser Fingerprinting
- Identifies bots through browser characteristics: canvas, WebGL, fonts, plugins. Requires spoofing or real browser profiles.
About eBay
Learn what eBay offers and what valuable data can be extracted from it.
The Pioneer of Global E-commerce
eBay is one of the world's largest and most diverse online marketplaces, connecting millions of buyers and sellers across more than 190 markets. Founded in 1995, it pioneered the auction-style sales model and has since evolved into a massive platform for both new and used goods, spanning electronics, fashion, collectibles, and motors.
A Goldmine of Pricing Data
The platform is a critical source for market intelligence because it provides access to historical 'Sold' listing data. Unlike other retail sites that only show asking prices, eBay allows scrapers to extract actual transaction values, making it an essential tool for valuation, price optimization, and secondary market analysis.
Strategic Data Value
By scraping eBay, businesses can monitor competitor inventory, track the performance of specific product categories, and gather detailed seller metrics. This structured data empowers retailers and investors to make data-driven decisions based on real-time supply and demand trends in the global marketplace.

Why Scrape eBay?
Discover the business value and use cases for extracting data from eBay.
Monitor real-time price fluctuations and competitor discounts.
Extract historical 'Sold' data for accurate market valuation.
Track inventory levels and stock turnover for high-demand items.
Analyze seller performance metrics and feedback for competitive benchmarking.
Identify emerging trends in collectibles and vintage electronics niches.
Scraping Challenges
Technical challenges you may encounter when scraping eBay.
Bypassing aggressive anti-bot protection like Akamai Bot Manager and DataDome.
Handling dynamic content rendering that requires a full browser environment.
Managing sophisticated IP fingerprinting and rapid rate limiting strategies.
Extracting data from nested structures and frequently changing CSS selectors.
Dealing with localized versions of the site that vary by region (e.g., eBay.de vs eBay.com).
Scrape eBay 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 eBay. Just type it in plain language — no coding or selectors needed.
AI Extracts the Data
Our artificial intelligence navigates eBay, 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 eBay 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 eBay. Just type it in plain language — no coding or selectors needed.
- AI Extracts the Data: Our artificial intelligence navigates eBay, 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:
- Build complex scrapers visually without writing a single line of code.
- Automatically bypasses Akamai and DataDome protections without manual configuration.
- Schedule extractions to run in the cloud and sync data directly to Google Sheets.
- Built-in support for rotating residential proxies to avoid IP bans.
No-Code Web Scrapers for eBay
Point-and-click alternatives to AI-powered scraping
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape eBay. 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 eBay
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape eBay. 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
# eBay search URL
url = 'https://www.ebay.com/sch/i.html?_nkw=iphone'
# Headers are crucial to avoid immediate blocks
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:
response = requests.get(url, headers=headers)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'html.parser')
# Select listings
items = soup.find_all('div', class_='s-item__info')
for item in items:
title = item.find('div', class_='s-item__title')
price = item.find('span', class_='s-item__price')
if title and price:
print(f'Title: {title.text.strip()} | Price: {price.text.strip()}')
except Exception 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 eBay with Code
Python + Requests
import requests
from bs4 import BeautifulSoup
# eBay search URL
url = 'https://www.ebay.com/sch/i.html?_nkw=iphone'
# Headers are crucial to avoid immediate blocks
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:
response = requests.get(url, headers=headers)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'html.parser')
# Select listings
items = soup.find_all('div', class_='s-item__info')
for item in items:
title = item.find('div', class_='s-item__title')
price = item.find('span', class_='s-item__price')
if title and price:
print(f'Title: {title.text.strip()} | Price: {price.text.strip()}')
except Exception as e:
print(f'Request failed: {e}')Python + Playwright
from playwright.sync_api import sync_playwright
def scrape_ebay():
with sync_playwright() as p:
browser = p.chromium.launch(headless=True)
context = browser.new_context(user_agent='Mozilla/5.0...')
page = context.new_page()
# Navigate to eBay search
page.goto('https://www.ebay.com/sch/i.html?_nkw=laptop')
# Wait for listings to load
page.wait_for_selector('.s-item__info')
listings = page.locator('.s-item__info').all()
for item in listings[:5]:
title = item.locator('.s-item__title').inner_text()
price = item.locator('.s-item__price').inner_text()
print(f'Product: {title} - {price}')
browser.close()
scrape_ebay()Python + Scrapy
import scrapy
class EbaySpider(scrapy.Spider):
name = 'ebay'
start_urls = ['https://www.ebay.com/sch/i.html?_nkw=camera']
def parse(self, response):
for listing in response.css('.s-item__info'):
yield {
'title': listing.css('.s-item__title span::text').get(),
'price': listing.css('.s-item__price::text').get(),
'condition': listing.css('.SECONDARY_INFO::text').get()
}
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();
const page = await browser.newPage();
await page.setUserAgent('Mozilla/5.0...');
await page.goto('https://www.ebay.com/sch/i.html?_nkw=watch');
await page.waitForSelector('.s-item__info');
const data = await page.evaluate(() => {
return Array.from(document.querySelectorAll('.s-item__info')).map(el => ({
title: el.querySelector('.s-item__title')?.innerText,
price: el.querySelector('.s-item__price')?.innerText
}));
});
console.log(data);
await browser.close();
})();What You Can Do With eBay Data
Explore practical applications and insights from eBay data.
Dynamic Retail Pricing
E-commerce managers use eBay data to automatically adjust their prices based on live auction activity.
How to implement:
- 1Extract daily price points for competitive SKUs on eBay.
- 2Identify average 'Buy It Now' prices for top-rated sellers.
- 3Adjust internal store prices using a percentage-based margin rule.
Use Automatio to extract data from eBay and build these applications without writing code.
What You Can Do With eBay Data
- Dynamic Retail Pricing
E-commerce managers use eBay data to automatically adjust their prices based on live auction activity.
- Extract daily price points for competitive SKUs on eBay.
- Identify average 'Buy It Now' prices for top-rated sellers.
- Adjust internal store prices using a percentage-based margin rule.
- Collectible Asset Valuation
Investors track the realized value of rare items like trading cards or vintage watches over time.
- Scrape historical 'Sold' listings for specific high-value keywords.
- Clean the data to remove outlier auctions (e.g., non-payments).
- Calculate price appreciation trends over 6-12 month periods.
- Supply Chain Sourcing
Wholesalers find high-volume eBay sellers who may need reliable bulk inventory sourcing.
- Filter for 'Top Rated Plus' sellers in specific product categories.
- Extract seller storefront names and total feedback volume.
- Outreach to successful sellers with wholesale manufacturing proposals.
- Brand Integrity Monitoring
Brands monitor eBay to find unauthorized resellers or counterfeit product listings.
- Search for brand keywords across global eBay domains daily.
- Scrape listing locations to identify suspicious cross-border sellers.
- Collect evidence for the eBay VeRO program to request takedowns.
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 eBay
Expert advice for successfully extracting data from eBay.
Use the 'LH_Sold=1' URL parameter to scrape actual transaction prices instead of current bids.
Implement residential proxies to avoid detection by Akamai's bot management system.
Scrape during off-peak hours (e.g., late night in the target region) to reduce the risk of rate limiting.
Monitor the 'Item Condition' field carefully, as price comparison is invalid between New and Used items.
Randomize your scraping intervals and mimic human mouse movements to stay under the radar.
Always extract the eBay Item ID (often found in the URL) to ensure a unique identifier for your database.
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.
Related Web Scraping

How to Scrape Carwow: Extract Used Car Data and Prices

How to Scrape Kalodata: TikTok Shop Data Extraction Guide

How to Scrape HP.com: A Technical Guide to Product & Price Data

How to Scrape The Range UK | Product Data & Prices Scraper

How to Scrape ThemeForest Web Data

How to Scrape StubHub: The Ultimate Web Scraping Guide

How to Scrape AliExpress: The Ultimate 2025 Data Extraction Guide
Frequently Asked Questions About eBay
Find answers to common questions about eBay