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.

Coverage:GlobalUnited StatesUnited KingdomGermanyAustraliaCanada
Available Data9 fields
TitlePriceLocationDescriptionImagesSeller InfoPosting DateCategoriesAttributes
All Extractable Fields
Product TitleCurrent PriceSold PriceShipping CostSeller NameSeller Feedback ScoreItem ConditionItem LocationQuantity SoldBid HistoryProduct CategoryImage URLs
Technical Requirements
JavaScript Required
No Login
Has Pagination
Official API Available
Anti-Bot Protection Detected
Akamai Bot ManagerDataDomereCAPTCHARate LimitingIP Fingerprinting

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.

About eBay

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

1

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.

2

AI Extracts the Data

Our artificial intelligence navigates eBay, 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

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 credit card requiredFree tier availableNo setup needed

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:
  1. 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.
  2. AI Extracts the Data: Our artificial intelligence navigates eBay, 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:
  • 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

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 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
  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

# 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:

  1. 1Extract daily price points for competitive SKUs on eBay.
  2. 2Identify average 'Buy It Now' prices for top-rated sellers.
  3. 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.

    1. Extract daily price points for competitive SKUs on eBay.
    2. Identify average 'Buy It Now' prices for top-rated sellers.
    3. 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.

    1. Scrape historical 'Sold' listings for specific high-value keywords.
    2. Clean the data to remove outlier auctions (e.g., non-payments).
    3. 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.

    1. Filter for 'Top Rated Plus' sellers in specific product categories.
    2. Extract seller storefront names and total feedback volume.
    3. Outreach to successful sellers with wholesale manufacturing proposals.
  • Brand Integrity Monitoring

    Brands monitor eBay to find unauthorized resellers or counterfeit product listings.

    1. Search for brand keywords across global eBay domains daily.
    2. Scrape listing locations to identify suspicious cross-border sellers.
    3. Collect evidence for the eBay VeRO program to request takedowns.
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 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

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 eBay

Find answers to common questions about eBay