🔧  *OXYLABS WEB SCRAPER API*
Scrape up to 2K results for free:
👉 https://oxy.yt/Evhu 

Build an eBay scraper in Python and learn how to extract product data such as titles, prices, availability, and item specifics. In this tutorial, we show you how to create a simple yet powerful eBay scraper and export the results into structured JSON and CSV files for further analysis.

We’ll walk through building an eBay scraper step by step, starting with environment setup and the required Python libraries. You’ll learn how to send structured requests, define XPath selectors, and retrieve key product data such as titles, prices, seller URLs, and availability. The video also explains how modern web scraping workflows handle dynamic pages and how structured parsing simplifies data extraction from complex HTML.

We also explore how an eBay data scraper organizes responses and transforms raw API output into clean datasets. By processing the returned results, you’ll convert structured responses into usable JSON and CSV files that can support analytics, monitoring, or product research workflows.

Whether you're analyzing listings, tracking competitor pricing, or learning advanced web scraping techniques, this tutorial provides a practical foundation for building your own eBay web scraper in Python.

📚 *OTHER RESOURCES*
✏️ Oxylabs blog: https://oxy.yt/LvhQ 
✏️ Oxylabs documentation: https://oxy.yt/3vkb 
✏️ Sample code repository: https://oxy.yt/Ivl9 

🔧  *OUR OTHER SCRAPING SOLUTIONS*
Residential Proxies:
👉 https://oxy.yt/3vzW 
ISP Proxies:
👉 https://oxy.yt/Dvxg 
Dedicated ISP Proxies:
👉 https://oxy.yt/Vvc4 
Datacenter Proxies:
👉 https://oxy.yt/4vcg 
Dedicated Datacenter Proxies:
👉 https://oxy.yt/nvbT 

⏳ *TIMESTAMPS*
0:00 Intro
0:21 Why scraping eBay is challenging
0:54 Environment setup
1:24 Defining the scraper payload
1:41 Locating data with XPath
2:35 Extracting additional product fields
3:18 Sending the scraping request
4:25 Understanding the API response
5:43 Parsing the scraped data
6:59 Organizing & saving the data
7:21 Exporting data to CSV
8:15 Responsible web scraping
8:32 Outro

#eBayScraper #eBayScraping

© 2026 Oxylabs.
All rights reserved.

Oxylabs

A step-by-step tutorial on building an eBay product scraper in Python using Oxylabs' Web Scraper API. Covers setting up the Python environment, defining XPath selectors to extract product fields (title, price, availability, item specifics, seller URL), sending authenticated POST requests to the Oxylabs Real-Time API, parsing the JSON response, and saving results to both JSON and CSV files.

eBay Scraper: Complete Guide 2026 (Python)