Amazon best selling products are being updated hourly every day. The updates are based on sales performance and customer rating of the product. However, you might carefully look into who is selling the products. Basically, the best-selling merchants are almost hourly although the position might vary. Just some new sellers might stand out by selling new popular niche SKUs.
In a way, it’s not realistic and unnecessary to manually monitor every hour on all categories and SKUs. What’s more, the interface on the Amazon best-selling page is not a friendly way for you to understand the performance in a data format. So in this article, I would walk you through how to create an Amazon best-selling product scraper using Python. By the end of this piece, you can learn how to code and create the scraper for fetching your competitor’s up-to-date product performance and pricing, finding potential customers, and identifying potential products. And then you can set up Crontab to automate the process and refresh your dashboard.
Table of Contents: Amazon Best Selling Product Scraper
- Scrape Amazon Besting Selling Page URL by Category
- Fetch Amazon Best Selling Product Data by Category
- Full Script of Amazon Best Selling Product Scraper
- AMAZON Latest Trending API Endpoint Recommendation
Amazon Besting Selling Product Ranking Page by Category
Amazon has hundreds of categories and subcategories in Best selling product pages. Your brand and business might not be related to each category and product, but you must like to realise which page to check the information is the most proper. The information is valuable for you to explore new niche products, monitor competitor’s SKUs and spot potential clients.
Amazon ranks the best selling products by departments. Each department has categories, and under each category, it also has many subcategories, and sub subcategories as well. Take the amazon devices & accessories for the example as listed below. It looks like an onion, which can be splitted layer by layer.
https://www.amazon.com/Best-Sellers/zgbs/amazon-deviceshttps://www.amazon.com/Best-Sellers-Amazon-Device-Accessories/zgbs/amazon-devices/370783011
So first thing first, we can fetch all department’s URL by using the URL below
values_list = https://www.amazon.com/Best-Sellers/zgbs
All category page left hand side menu’s html coding is with the same naming. I assume you have already fetched all the department’s URL by using the URL above. Below is the full list of department’s URLs
If you like to scrape categories to understand each department, you need to create a loop to scrape using selenium, gspread and beautifulsoup.
First thing first, you need to use the simulation driver to open Amazon best selling page, as Amazon disallows BeautifulSoup direct access to page html.
amazonSERP = []
Then, you can create a table in Google Sheets, and paste all department URLs in a column. You can use gspread to read the URLs.
Last but not least, the category URLs in Amazon best selling product pages are sitting under id zg_browseRoot. It’s formatted by <li></li>. Thus, below are the looping scraper of codings
Fetch Amazon Best Selling Product Data by Category
Once you have a full list of category URLs on hand, you can use the specific category URL to set up the scraper.
First thing first, each category best selling product has two pages, one is top 50 and the other is 51 – 100. You can use the parameter ?pg= after the category URL.
What’s more, the block of each product is class = aok-inline-block zg-item. So basically we can use selenium and beautifulsoup to find all blocks of the best selling product dataset
Then, we need another loop to fetch the specific data from each product, such as title, product url, review, ratings, pricing, etc.
Last but not least, we can use pandas to append the data connected with the variables created above in the scraping codes. Then automatically it can update the data into the Google Sheets.
## append the data and upload to Google Sheets ##
element_info = {"Market": Market,"Channel": Channel,"Tier of Cate": Tier,"Name of Cate": category,"Title": title,"URL": url,"Review": review,"Stars": Stars,# "Min-Price": min_price,"Max-Price": price}
amazonSERP.append(element_info)
df = pd.DataFrame(amazonSERP)
Full Script of Amazon Best Selling Product Scraper
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FAQ:
Q1: What is Amazon Best Selling Product Scraper?
A: Amazon Best Selling Product Scraper is a tool designed to extract data from Amazon’s best selling product listings. It allows you to gather information such as product titles, prices, ratings, and reviews from the top-selling products on Amazon.
Q2: How does Amazon Best Selling Product Scraper work?
A: Amazon Best Selling Product Scraper works by accessing the Amazon website and scraping the data from the best selling product listings. It uses web scraping techniques to extract the desired information and provides it in a structured format for easy analysis and use.
Q3: What information can I extract with Amazon Best Selling Product Scraper?
A: With Amazon Best Selling Product Scraper, you can extract various information from the best selling product listings on Amazon. This includes product titles, prices, ratings, reviews, seller information, and other relevant details.
Q4: Is Amazon Best Selling Product Scraper legal to use?
A: While web scraping itself is not illegal, the legality of using a scraper tool like Amazon Best Selling Product Scraper depends on how you use it. It is important to comply with Amazon’s terms of service and any applicable laws regarding data scraping and usage.
Q5: Can I use Amazon Best Selling Product Scraper for my eCommerce business?
A: Yes, you can use Amazon Best Selling Product Scraper for your eCommerce business. It can help you gather valuable insights about the top-selling products on Amazon, which can inform your product selection, pricing strategies, and overall business decisions.
Q6: Is Amazon Best Selling Product Scraper suitable for beginners?
A: Yes, Amazon Best Selling Product Scraper is suitable for beginners. It is designed to be user-friendly and intuitive, requiring no coding or technical skills. The tool provides a simple and straightforward interface for extracting and analyzing data.
Q7: Can I export the data obtained from Amazon Best Selling Product Scraper?
A: Yes, you can export the data obtained from Amazon Best Selling Product Scraper. The tool allows you to export the scraped data in various formats such as CSV, Excel, or JSON, making it easy to integrate with other software or conduct further analysis.
Q8: Is there a limit to the number of products I can scrape with Amazon Best Selling Product Scraper?
A: The limit to the number of products you can scrape with Amazon Best Selling Product Scraper depends on the specific plan or subscription you have. Different plans may have different limits on the number of products or requests you can make per day or month.
Q9: Can Amazon Best Selling Product Scraper be used for market research?
A: Yes, Amazon Best Selling Product Scraper can be a valuable tool for market research. By analyzing the best selling products on Amazon, you can gain insights into market trends, customer preferences, and competitive analysis, which can inform your business strategies.
Q10: Does Amazon Best Selling Product Scraper provide support or documentation?
A: Yes, Amazon Best Selling Product Scraper provides support and documentation to assist users. You can refer to the user guide or reach out to their support team for any queries or assistance related to the tool.
Amazon API Endpoint Recommendation
Keyword Data Estimator API
Price: US$54
Keyword data estimator can generate keyword avg.monthly traffic and CPC. Keyword estimator can generate the keyword data by country and channel using a keyword query. Options of search engine channel include Google, Bing, Amazon. 4 languages are doable which are English, Japanese, Simplified Chinese and Traditional Chinese
More API options from the Amazon collection.