Actowiz Solutions LLP ‘The Fastest Growing’ Big Data Analytics Company
Actowiz Solutions LLP ‘The Fastest Growing’ Big Data Analytics Company

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This web scraping tutorial shows how to extract seller details and pricing from the Amazon Offer List page.

The pricing you usually see for products on Amazon is buy-box pricing. However, how is that determined? Some most significant factors are fulfillment method, pricing, and seller ratings. Usually, the sellers that utilize FBA (Contented by Amazon) for products “win” the buy box. In case different sellers use FBA, a buy box pricing is generally rotated or shared.]

Amazon is experiencing a drastic increase in third-party sellers that partner with them to make an Amazon Marketplace. eBay is in the second spot with merely 52% merchants compared to Amazon.

Why Extract Pricing from an Offer Listing Page?

  • Analyze delivery channels, track your product selling, and find any damage to your brand
  • Know about customers’ behavior to align pricing and products toward the highest profits
  • Know the share standings and feasibility approach for buying a box
  • To efficiently monitor competition, get insights about selling price and product movement.

What Data Are We Scraping?


Here is the listing of product information that we are going to scrape:

  • Seller’s Name
  • Pricing
  • Product Condition
  • Product Shipping
  • Delivery Options
  • Seller Ratings
  • Positive Percentage

Here is the screenshot of a few data fields we would be scraping:

Build A Web Scraper


You require a computer having Python 3 & PIP installed on it. This code won’t work on Python 2.7.

Most UNIX OS, including Mac OS or Linux, come having pre-installed Python. Although not all the Linux OS ship with defaulting Python 3.

Let’s observe a Python version. Open a terminal (with Mac OS or Linux) or Windows (Command Prompt).

And then press enter. If the result looks like Python 3.x.x, you get Python 3 installed. If it shows Python 2.x.x, then you have Python 2. In case you don’t get Python 3, then install that first. You probably don’t get Python installed if it prints the error.

Installing Pip and Python 3

Here is the guide of installing Python 3 with Linux –

For Mac Users, you can follow a guide –

Installing Packages

Python Requests, for making requests and downloading HTML content of pages (

Use Python LXML for parsing HTML’s Tree Structure with Xpaths (Find how to make installation here at

UnicodeCSV to handle Unicode characters within output files. Install that with pip installing unicodecsv.

IPython for checking Xpaths. You may install that with pip install ipython

Construct a URL

Recognize the products’ ASIN. With the product given – Pockit Lightweight Stroller (, its ASIN includes B01DQ2B8UY

Make a URL to find data of different sellers. Open a browser and visit a product Offers Listing page on Amazon. Its URL looks like that: For getting a product offer listing, you just have to replace an ASIN at end of a link. It is a URL if you don’t use any filters. Then, Click on a checkbox for main suitability.

The URL alters to that:

The next step to follow is to build a web scraper, which extracts data from all offer listings – Price, Delivery, Condition, and Seller details as per every applied filter.

Applied Filters:


Every argument gets pass through a general line and it is gained and saved. We want arguments for product condition, ASIN, and shipping. A GIF given below indicates how to find a URL depending on a filter applied:

For every applied filter, we need to make a URL. We will make a filter for URL mapping.

The constructed URL will have an ASIN, shipping, and product condition that would look like:

Find an XPath

What-Data-Are-We-Scraping What-Data-Are-We-Scraping What-Data-Are-We-Scraping What-Data-Are-We-Scraping What-Data-Are-We-Scraping What-Data-Are-We-Scraping What-Data-Are-We-Scraping What-Data-Are-We-Scraping

XPaths can be utilized to tell a script where every field we want is available in HTML. The XPath gives you a location of the element like a list does for the books. We’ll get XPaths for all the fields needed and put it into the scraper. After scraping the data, we’ll save that in the CSV file.

Now it’s time to check XPaths with IPython:

This request has been succeeded.

Let’s go through XPath of every listing:

The GIF indicates where we’ll get the data available in the HTML format.

So, there are 10 listings of sellers for the product. Let’s observe the pricing for initial listings:

Get the Necessary Data:

Now check some data fields needed in the scraper to observe if the data needed is correct:

Prime Suitability:








Seller’s Name:


Repeating the listing to get sellers’ data:

The Code


Run a Code

Assume that a script is named In case, you type a script name within terminal or command prompt together with a -h

List-of-Data-Fields List-of-Data-Fields

Here are a few examples about scraping the seller listing with an ASIN ‘B01DQ2B8UY’:

python B01DQ2B8UY “all” “all”

To get a seller listing under a condition ‘new’ and ‘prime’:

Let us understand in the below comments about how the scraper has worked.

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