How to Scrape Walmart Product Data Using Python and Selenium?

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How To Scrape Walmart Product Data Using Python
And Selenium?
Walmart is a multinational retail company
well-known for operating a chain of hypermarkets,
discount department stores, and grocery stores.
Considered one of the largest retailers
glob- ally, it has a significant  presence in the
United States and other countries. Founded in
1962 by Sam Walton in Rogers, Arkansas, USA, the
company started as a single discount store
and gradually grew into a retail giant. It offers
various products, including electronics, apparel,
groceries, furniture, household items, etc.
Although it has an extensive presence in the
United States, it operates in several other
countries like Mexico, Canada, the United King-
dom, China, India, etc. With a vast pool of
information, ecommerce product data scraping is a
must. The data col- lected from Walmart is
perfect for comparing and understanding the
competitors' strategies.
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Importance of Web Scraping Walmart Data Price
Comparison Analysis If you're running an
e-commerce business or simply looking to make a
purchase, scraping Walmart prices data helps
compare prices with your competitors. Collecting
product information and pricing details allows
you to analyze the data to decide where to buy a
particular product at the best price. Market
Research Walmart product detail scraping can
provide valuable insights into market trends,
consumer preferences, and product availability.
Collecting data on product categories, customer
reviews, sales rankings, etc., you can deeply
understand the market and identify opportunities
or flaws in the operation and company. Competitiv
e Analysis Scraping Walmart product images and
descriptions will give you detailed insights into
competitors' strategies. By monitoring Walmart's
product listings, pricing strategies, promotions,
and customer reviews, you can compare its
offerings and make strategic decisions to lead
the competitive market. Inventory Monitoring
Walmart's inventory scraping is another
significant aspect that helps gain an edge over
the competitors. Extract Walmart product price
data to help you monitor the competitors'
inventory and availability. It plays a
significant role if you are looking to track the
stock status of items, receive notifications when
they become available, or identify any changes in
product availability over time. Product
Research Walmart data extraction can provide a
bulk of information on various products,
including specifications, descriptions, images,
and customer reviews using Walmart product data
scraper. This data is helpful for product
research and analysis, helping you understand
customer preferences, identify popular products,
and make data-driven decisions while launching
new products. However, remember that while
scraping data from the website, you must review
and adhere to the terms of service, follow
ethical scraping practices, and ensure that the
scraping activities conform to all legal
requirements. Hence, the best solution is to
leverage the advantage of Walmart's Product data
scraping services.
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• Generic Guide to Scrape Walmart Product Data
• First, you need to find the product or the
  category page that you want data from.
• When you scrape data from E-commerce websites,
  decide the type of data you want to collect
  Prices, images, reviews, etc.
• Inspect the page source.
• Locate the HTML elements for the required data.
  For example, product title or price using find()
  or find _all() methods.
• Using the text attribute, extract the text
  content.
• If you are using BeautifulSopup, send a GET
  request to the Walmart page
• Iterating on a list of URLs will allow the
  scraping of multiple pages. Make sure to put a
  time break using the time.sleep() function.
• JSON data will allow you to parse and load into
  JSON modules.
• Export the data to CSV or another file format.

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List of Data Fields
Product Name Title Description
Price URL Reviews Ratings Images Brand Details
Variations In this blog, we will scrape Walmart
data using Python and Selenium. Regarding web
scraping, Python is the most  programming
language. While Selenium helps automate testing.
It enhances the manual procedure in the web
browser. With the help of Python and Selenium,
you can easily open a web browser and then scrape
data from a specific page. It needs WebDriver to
perform this. If you don't have prior installed
Selenium, install both the browser driver and
Selenium library.
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Products Searching First, for web scraping
Walmart data using Python, we will import using
the following code
After importing the Selenium, open the Chrome
browser by using the below code as a Python
script.
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To input a keyword in the search bar, we will use
the below code
Although, the code will feed the query of Gaming
Laptops. But, you can replace the Gaming laptops
query with anything you want to
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The below-mentioned code will search for the term
in the search bar. search.send_keys(Keys.ENTER)
The output will appear like this
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Navigating to the Products Page Extract
Data Using Selenium, you can easily extract a
products name, price, descriptions, ratings,
reviews, etc. First, select the product that you
want to scrape. Then, open the products
page using the following code
The next step is to inspect the page as soon as
it opens. To achieve this, navigate to the
desired information, right-click, and click on
Inspect. Inspecting the product title shows that
the tile lies within the H1 tag. It is available
using the following code
Similarly, you can look for the price, reviews,
ratings, etc.
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For more information, get in touch with iWeb Data
Scraping now! You can also reach us for all
your web scraping service and mobile app data
scraping requirements.
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