Start Your Project with Us

Whatever your project size is, we will handle it well with all the standards fulfilled! We are here to give 100% satisfaction.

  • Any feature, you ask, we develop
  • 24x7 support worldwide
  • Real-time performance dashboard
  • Complete transparency
  • Dedicated account manager
  • Customized solutions to fulfill data scraping goals
Careers

For job seekers, please visit our Career Page or send your resume to hr@actowizsolutions.com

How-to-Extract-Amazon-Prime-Day-Deal-Data-in-Just-5-Minutes

How do you get the finest deals on Amazon using web scraping? This blog uses Amazon product search pages for Apple Airpods to show how to extract data in less than 5 minutes.

This blog shows how we efficiently monitor the pricing changes and find the most updated data on the products you are looking for.

Let’s create an easy Web Scraping Python Script.

Step 1: Open Amazon Website and Search for the Item You are Interested in.

Open-Amazon-Website-and-Search-for-the-Item-You-are-Interested-in.

Here, we need to purchase new Airpods. Just copy its URL from browser.

Step 2: Import Packages Using Jupyter Notebook and Other Python IDEs

Import-Packages-Using-Jupyter-Notebook-and-Other-Python-IDEs

First, import the BeatifulScoup and Request library into a workplace. Request library assists us in requesting HTML data online. BeatifulSoup is a robust library that helps us clean and locates particular items in an HTML pulling.

html-tags

After that, copy URL from a browser, and paste that into requests.get() method. It will scrape HTML data from Amazon Web Server.

If you think about how does HTML data look like, then you can print that using r.text

Looks to be extremely messy data, right? We have to use a BeatifulSoup library to remove some tags. Let’s start a BeatifulSoup object with the code given below.

Looks-to-be-extremely-messy-data,-right

Step 3: Inspect a Page to Get Relevant Data Tags on a Webpage

Inspect-a-Page-to-Get-Relevant-Data-Tags-on-a-Webpage

Use keys Ctrl + Shift+ I to review the title of product pages.

Use-keys-Ctrl-+-Shift+-I-to-review-the-title-of-product-pages

The key point will assist you in getting a

Just copy a class name and then paste it into a soup.find_all() technique. This technique will get all the product data on a page.

You may use a prettify() technique to view more structured codes: Here, we are looking at a second products on a page with slicer.

After that, let’s extract the discounted price and more data.

Here, we would like to extract the discounted prices. The key point shows it here to a tag:

The-key-point-will-assist-you-in-getting

$124.00

We need to copy a class name to the select_one() technique. We may print the text by using a code given below.

We-need-to-copy-a-class-name-to-the-select_one()-technique

We do that for all the interest fields: Product Name, Market Price, Discount Price, Ratings, and Total Reviews.

Step 4: Gather Pricing and Other Information of ALL Product Listings on a Given Page

Gather-Pricing-and-Other-Information-of-ALL-Product-Listings-on-a-Given-Page

Lastly, we can repeat all the listed products on a page wish an easy loop.

Just go through all listings and get the data we are concerned about.

Step 5: Put All Together and Get the Best Deals

Put-All-Together-and-Get-the-Best-Deals

Finally, we will make a Pandas DataFrame for cleaning and visualizing our data. Then, we will put data in the correct format and deal with all null values. Lastly, we can get the finest deals with the most substantial discounts.

Here, we will do some data engineering to create a new column for discounts and clean the data. To conclude, we sort all the data depending on discount amounts:

Let’s go through the last results:

Therefore, which is the most acceptable deal depending on the discounts?

Here, it’s easy to see that Airpods having a wireless charging case presently have a maximum discount of $52.8. Then, the second-best deal is on Airpod Pro, having $50 as a discount.

Step 6: Conclusion

In this blog, we have used Request and BeatifulSoup Library to extract Amazon for Airpods.

We have opened the concerned URL

We have imported packages in a Jupyter notebook

Then, we reviewed the page to get all applicable data tags on a webpage.

Then, we collected prices and other data about ALL products listed on a page To finish, we have worked on data engineering to get the finest deals based on the discounts. The best two deals include 1. Airpods have a wireless charging case, and 2. AirPods Pro.

To know more about scraping Amazon Prime Day deals data, contact Actowiz Solutions now!

You can also call us for all your mobile app scraping and web scraping services requirements.

RECENT BLOGS

View More

Beyond Basic Price Monitoring - How to Detect Competitor Stockouts and Win Market Share

Learn how Beyond Basic Price Monitoring helps you detect competitor stockouts in real-time and gain market share with smarter pricing and inventory strategies.

Extracting Public Dating Profiles for User Behavior & Trend Analysis

Explore how Actowiz Solutions extracts public dating profiles to analyze user behavior and trends with web scraping and data intelligence for smarter matchmaking insights.

RESEARCH AND REPORTS

View More

Number of Whataburger restaurants in the US 2025

Discover the total number of Whataburger restaurants in the US 2025, including state-wise data, top cities, and regional growth trends.

Research Report - Decathlon 2024 Sales Analysis - Key Metrics and Consumer Behavior

An in-depth Decathlon 2024 sales analysis, exploring key trends, consumer behavior, revenue growth, and strategic insights for future success.

Case Studies

View More

Case Study - Scrape Coupang Product Listings for Better Pricing Strategies: A Real-World Case Study

Discover how businesses can scrape Coupang product listings to gain competitive pricing insights, optimize strategies, and boost sales. A real-world case study example.

Cracking the Code - How Actowiz Solved Glovo’s Data Volatility with Precision Glovo Data Scraping

Discover how Actowiz Solutions used smart Glovo Data Scraping to overcome data volatility, ensuring accurate store listings and real-time delivery insights.

Infographics

View More

City-Wise Grocery Cost Index in the USA – Powered by Real-Time Data

Discover real-time grocery price trends across U.S. cities with Actowiz. Track essentials, compare costs, and make smarter decisions using live data scraping.

2025 Rental Price Insights from 99acres, MagicBricks & NoBroker

Explore 2025 rental trends with real-time data from 99acres, MagicBricks & NoBroker. Actowiz reveals top areas, price shifts & smart market insights.