Table Of Content
    Back to Blog

    How can you Scrape eBay Using Python and LXML?

    how-can-you-scrape-eBay-using-python-and-lxml
    Category
    E-commerce & Retail
    Publish Date
    June 15, 2021
    Author
    Scraping Intelligence

    In this blog, we will guide you on eBay product data scraping and extract various types of data including name, prices, images, seller details, etc. Scraping eBay product data assists businesses in gathering information that can be used for price comparison, brand monitoring, pricing intelligence and keyword monitoring for eCommerce growth.

    Below are some steps on how to extract eBay?

    Below is the image of data scraped Utilizing our eBay Scraping tutorial

    Below is the image of data scraped Utilizing our eBay Scraping tutorial

    Install Pip & Python

    Here is a guidebook to mount Python 3 in Linux –

    http://docs.python-guide.org/en/latest/starting/install3/linux/

    Mac clients can follow this guidebook –

    http://docs.python-guide.org/en/latest/starting/install3/osx/

    Windows Users go here –

    http://www.websitescraper.com/python-package-for-web-scraping-in-windows-10/

    Windows clients can contact us for more details –

    http://www.websitescraper.com/contact-us/

    Packages

    For this Scrape eBay using Python and LXML, we will require some suites for parsing and downloading the HTML. Below are the given packages:

    • PIP to mount the succeeding packages in Python – (https://pip.pypa.io/en/stable/installing/)
    • Python Wishes, to make download and requests the HTML content of the webpages – (http://docs.python-requests.org/en/master/user/install/)
    • Python LXML, for analyzing the HTML Structure utilizing Xpaths – (http://lxml.de/installation.html).

    The Code

    https://gist.github.com/websitescraper/a72ccc2bd05148252e4d443de1131356

    If the above link doesn’t work then you can download the below-given link at

    https://gist.github.com/websitescraper/a72ccc2bd05148252e4d443de1131356

    If you would like the code in Python 3, you can check out the link at

    https://gist.github.com/websitescraper/6b189a4a2cef1d26c830558167c3a47d

    Running the Python eBay Scraper

    We have kept the titled the script ebay_scraper.py. If you sort in the script title in command or terminal prompt with a -h

    usage: ebay_scraper.py [-h] brand
    positional arguments:
    brand       Brand Name
    optional arguments:
    -h, --help  show this help message and exit

    The product argument signifies any brand feasible on eBay. You can type in a product that eBay now has on its websites like –Canon, Samsung, Dell, and many more. The script should be mounted with the dispute for the product. For example, to search the entire brand Apple presently has on eBay, we would mount the extractor like this.

    Python3 eBay_Scraper.py apple

    In this blog we are only extracting the price, URL, and product’s name from the initial page of the outcome, so a CSV file must be sufficient to suitable in all the details. If you like to scrape data in substance, a JSON file is much desirable. You can declaim about selecting your details format, fair to be sure.

    This will help you to make a CSV file called apple-eBay-scraped-data.csv that will remain in a similar binder as the cursive. Here is some of the information scraped from eBay in a CSV file from the knowledge above.

    If you are looking for the best eBay Scraper then you can click on the given below link:

    http://www.websitescraper.com/contact-us/

    Why extract eBay?

    • eBay Keyword Analyzing – You can effortlessly analyze eBay for particular keywords utilizing this blog.
    • Brand Monitoring – You can substitute the search period in this blog to include a product name and simply monitor which product is being traded more on eBay.
    • Price Monitoring – eBay is the leading e-commerce website in the world, scraping eBay data for comparing and price with the Walmart scraper and Amazon scraper pricing details can assist you to create an effective price analyzing system.

    Conclusion

    This code must be capable to scrape web scraping eBay details and prices of most products feasible. If you need to scrape data of millions of brand products for each and check the participant prices of brands periodically then you can contact Scraping Intelligence.


    About the author


    Zoltan Bettenbuk

    Zoltan Bettenbuk is the CTO of ScraperAPI - helping thousands of companies get access to the data they need. He’s a well-known expert in data processing and web scraping. With more than 15 years of experience in software development, product management, and leadership, Zoltan frequently publishes his insights on our blog as well as on Twitter and LinkedIn.

    Latest Blog

    Explore our latest content pieces for every industry and audience seeking information about data scraping and advanced tools.

    extract-google-yahoo-finance-insights
    Finance
    31 Dec 2025
    How to Extract Google & Yahoo Finance Insights?

    Learn how to extract Google & Yahoo Finance insights using simple methods to collect stock prices, financial data & market trends for smart decisions.

    build-financial-data-pipeline
    Finance
    26 Dec 2025
    Building a Data Pipeline: From Scraping to Database for Financial Analysts

    Build a Data Pipeline from Scraping to Database that helps Financial Analysts clean, store, and access accurate market and company data for reports.

    dynamic-flight-pricing-model
    Hotel & Travel
    16 Dec 2025
    How to Build a Dynamic Pricing Model with Extracted Flight Data?

    Learn how to build a dynamic pricing model using extracted flight data. This step-by-step guide covers data collection, analysis, and strategy implementation for optimal pricing.

    scrapers-transform-retail-strategy
    E-commerce & Retail
    11 Dec 2025
    5 Ways Our Pre-Built Scrapers Can Transform Your Retail Strategy

    Get 5 powerful ways pre-built scrapers transform your retail strategy with real-time competitive insights, automated data collection & smart pricing.