As some of you may know, scraping Amazon is getting harder and harder. Their developers are changing code and making it more dynamic.
We tried to use an existing solution from the internet, checked YouTube videos, forums, GitHub projects, and nothing worked. So, we decided to build our very own simple scraper.
We are pretty sure that it is a great codebase to create an advanced tool for dropshippers who are looking for the best projects and prices on the internet.
When reading online, especially when searching for valuable information, it is crucial to choose the right sources. Before we start, we would like to take a minute to introduce ourselves.
The information we provide you with is derived from real-life experiences in the covered topics. However, we could hardly cover all the valuable information you need to fully optimize a certain processes.
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You are an Amazon seller and want to keep track of products and competitors? Maybe the first thing you want to make sure of is you keep track of their pricing.
Unfortunately, there is an immense amount of products whose prices are not constant. If you can't afford to spend time daily on doing this, your best chance is to use software and automate the process - use data scrapers that will track Amazon Prices for you.
We will show you step-by-step, or more likely line-by-line, how to leverage modern technology for your business needs. In this blog post you will learn how to code a script that will do this for you:
Gather all the data and save you a ton of time.
Store the information in an easy-to-read format.
Let's get to coding
Building an Amazon price scraper
We will build a web scraper using Python. It will go and find products that we are interested in, whose prices are as close as possible to the price range we are looking for.
Then, we will store all the products' information in a JSON file.
Here, the next step would be to design the software so it comes back later and checks for discounts. In this blog, we will focus only on gathering different data and storing it in a file.
So, the process looks like this:
Define the price range.
Find the product.
Store the information.
This is the GitHub repository for our project.
Setting up parameters
In order to better understand what we are about to do, let's first check the settings of the script.
We got a couple of files, where the main file is "amazon_config.py".
In this example, we will use parameters, which are easy to change for our script.
We will be looking for a PS4 and prices in Euro.
Right under these two, you will see the filters, which are minimum and maximum prices.
The base URL is amazon.de. So, we are interested in all PS4s in Germany.
So, let's review the “PS4” JSON report file that our script has just generated. The potentially best-found item from our scraper is this headset.
As you can see, right now the script is not perfect. We obviously need to configure more parameters to differentiate the actual PS4s gaming consoles from headsets, etc. This particular headset has a "PS4" in its name, so that is why our script found it.
In this blog post you got to know the bone structure of an Amazon Price Scraper. Now, you can use it to optimize your business as you keep track of products or vendors you are interested in. You saw how to build a script, setup it's parameters and store historical data in a JSON file. However, if you need furhter assistance with automating a process or feel that a personal consultation will make a difference - please contact us.