text: This tutorial is a follow-up of How to scrape Yelp.com for Business Listings using Python. In this tutorial, we will help you in scraping Yelp.com data from the detail page of a business. You can…
  Web scraping eBay can help with collecting information for businesses and pricing intelligence. In this article, we will show you how to scrape eBay and extract data such as prices and names of products in all categories by a brand. Scraping eBay listings at regular intervals can be useful to check the details of products and compare them with your competitor sites.
  Here are the steps to scrape eBay
  - First, construct the URL for the search results to scrape eBay. Example –
  - Download HTML of the search result page using Python Requests.
  - Parse the page using LXML – LXML lets you navigate the HTML Tree Structure using Xpaths.
  - Save the scraped eBay product data to a CSV file.
  Below is a screenshot of the data to extract using our eBay scraper.
  You could also scrape details such as the number of products sold or the ratings given by consumers, but for now, we will keep this eBay scraper simple and extract these.
  Read More – Learn to scrape Yelp business data
  Since we will be monitoring prices by their brand, here is the one for Apple –
  You can download the link at if the embed above does not work.
  If you would like the code in Python 2.7, you can check out the link at
  Running the eBay Scraper
  We have named the script ebay_scraper.py. If you type in the script name in terminal or command 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 brand argument represents any brand available on eBay. You can type in a brand that eBay currently has on its site such as – Samsung, Canon, Dell, etc. The script must be run with the argument for
  brand. As an example, to find all of the products Apple currently has on eBay, we would run the scraper like this.
  python3 ebay_scraper.py apple
  In this article we are only scraping the product’s name, price, and URL from the first page of results, so a CSV file should be enough to fit in all the data. If you would like to extract details in bulk, a JSON file is more preferable. You can read about choosing your data format, just to be sure.
  This will create a CSV file named apple-ebay-scraped-data.csv that will be in the same folder as the script. Here are some of the data extracted from eBay in a CSV file from the command above.
  You can download the code at
  We would love to know how this scraper worked for you. Let us know in the comments below.
  Known Limitations
  This code should be able to scrape eBay prices and details of most brands available. If you want to scrape and extract the details of thousands of products for each brand and check the competitor prices of products periodically (on an hourly basis), then you should read Scalable do-it-yourself scraping – How to build and run scrapers on a large scale and How to prevent getting blacklisted while scrapingDisclaimer:.
  If you need some professional help with scraping complex websites you can fill up the form below.
  We help business monitor prices across e-Commerce websites by collecting data
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  We help business monitor prices across e-Commerce websites by collecting data
  Responses
  i m a newbie in python trying to install it steps by steps, however i m getting error msg like below
  /usr/local/lib/python3.6/site-packages/requests/init.py:91: RequestsDependencyWarning: urllib3 (1.23) or chardet (3.0.4) doesn’t match a supported version!
  RequestsDependencyWarning)
  Traceback (most recent call last):
  File “ebay_scraper.py”, line 4, in
  import unicodecsv as csv
  ModuleNotFoundError: No module named ‘unicodecsv’
  grateful if you can give some advice, thanks!
  I had a similar problem. It seems that unicodecsv is not installed by default, so you’ll have to install it yourself. For example using:
  git clone
  cd python-unicodecsv/
  pip install .
  pip install unicodecsv
  Hello everyone,
  I have tried to run the code for Samsung (and a few other companies) and I keep on getting the same error. For Samsung, it says “Found 52,503 results for Samsung for Samsung”, however, it says “No data scraped” right below it and no csv file is made. I tried printing out the product_listings variable and it came up empty so the code never enters the “for product in product_listings:” loop. Does anyone have suggestions of what I am doing wrong?
  Thank you.