Excel web scrape amazon price


  • Amazon Scraper 101: How to Scrape Product Data from Amazon
  • How to Scrape Websites Using Google Sheets Formulas (Examples)
  • Web Scraping with Google Sheets ImportXML to Automatically Collect Product Price Info
  • How to Scrape and Find the Best Selling Product on Amazon
  • Scraping Amazon Product Information using Beautiful Soup
  • How To Scrape Amazon Product Data and Prices using Python 3
  • Amazon Scraper 101: How to Scrape Product Data from Amazon

    Among the products, there are 88 brands in total. Philips Norelco This indicates that there is still some room left for newcomers to compete in this race. The second important thing we want to make sure is that there are a number of people wanting this item, and are willing to pay for it.

    A shortcut to estimate overall demands for a product is using keyword research tools like Google Trends , since when people are interested in something, they search for it first.

    There are many other keyword tools available as well, and we can take advantage of a few of them to collect as much information as possible. By looking at the trends over a period of time, we can determine whether this is a seasonal product and when is a good time to sell it. It would be critical for us to do some googling and check the fashion trends before selling any clothing. A more accurate way to deduce the actual demand is by looking at the numbers of reviews of each product listing.

    Top 20 shaver brands and their average numbers of reviews Usually, a brand with more than 10, reviews means that there is a huge market for their item s. After collecting the number of reviews of each item, we can see the top 4 brands all surpassed 20, reviews. And the number of reviews for each brand averages around 3, From there, we can conclude that there is a huge demand for shavers.

    However, it would be not wise to compete directly with the top players as they possess a bigger part of the market pie. Scrape Customers Ratings So we just took a look at the number of reviews, now we can dig into the ratings. The product ratings tell us in a straightforward way how consumers are perceiving these brands and the products. If a single brand has tons of reviews with an extremely high average rating, it means that it is a monopoly brand.

    Obviously, everybody loves it and thinks this is an awesome choice. On the contrary, if the ratings of all products in a market are very low, it means that all the brands share unavoidable defects in common.

    What I just described are two extreme situations, and it would be unwise to enter either market. From left to right, the average ratings go down and the brands with the most reviews concentrate in the middle.

    As shown in the chart below, the shavers with the most reviews are rated between 4. Amazon reviews as part of product research Besides scraping the number of reviews, we can also pull the review text off Amazon directly.

    To choose the best product that beats the others, knowing what the customers are thinking about the existing products is the key. By scraping the Amazon reviews of the products and analyzing the word frequency, we can easily pinpoint what our customers need and know what they care the most about the products.

    Wordcloud based on Amazon shaver reviews Above is the Wordcloud based on the shaver reviews on Amazon. In this case, we can make a conclusion that customers usually prefer a high-quality shaver with a long battery life that gives a clean, close and smooth shave. And this is just scratching the surface of review analysis. Ideal Price Points for Your Products We have already done our research on the major competitors and the market demand.

    Everything looks great and we are ready to cut into the market with our product. Yet another big question emerges: how should we price the product? A product, when priced too high compared to those of the competitors, will be ignored by consumers and run into a dead end. Shaver price range This is where product pricing data come into play.

    As the web scraper Octoparse has pulled the prices of all products, to analyze them in Excel is easy-peasy. The good news is that with Octoparse it can schedule regular data extractions from Amazon into Excel, which enables us to make up-to-date pricing strategies. Bigger Brands vs. Small Brands on the Amazon Marketplace Knowing market prices makes us one step closer to giving birth to a best-seller, but it is not enough.

    One needs to find out the relationship between the prices and their brands so as to determine the best market position. I compared the average selling prices among brands.

    Data shows that in general, the top players have relatively higher prices compared to those of the rest. Considering that big brands appeal to customers naturally, in this case, it may be a good strategy to start at a lower-than-average price. Calculate the Weights of Your Amazon Products Brands, demand and price are the 3 big aspects to consider. But to become a smart seller on Amazon, we still need to pay attention to details that will influence the sales and profits. One small aspect often neglected by sellers is the size and weight of the product.

    High shipping weight leads to high shipping costs and FBA fees, which can cut in our profit margin. Be careful that going too small can also be a disadvantage since small items can easily be crushed by big packages falling on to them.

    As shavers are small and light-weighted less than 1 pound on average , they have low shipping charges and take up less space. This kind of product tends to generate more profits and is easier to manage. But when picking products, avoid the ones with fragile inner parts, like glass or delicate electronics. It is better to choose something sturdy, durable and easy to hold. Wrapping Up The tips above guide us in choosing which product to sell on Amazon. With a web scraping tool, the research process is no longer tedious and time-consuming, as it automates the data scraping process and makes data collection easier for us.

    If we have a product in mind already, you can follow the scraping and analysis steps I covered in this post to see whether it is the best choice. The research should provide us with all the information we need to succeed.

    How to Scrape Websites Using Google Sheets Formulas (Examples)

    So while we can do some basic website scraping with it, if you need something more robust, I recommend you use better options such as Python or dedicated scrapping tools. For example, if you want to scrape the title of an article, you will use the query that tells the formula what part of the webpage code refers to the title.

    In most cases, I use this when there is a table on a webpage that I want to fetch. In case there are multiple tables, you can specify which table to scrape. A use-case of this could be when you want to fetch the top 10 article titles using the RSS feed of your favorite blog or news website. Quite impressive to be honest. If you already have something in one of the cells a cell that would otherwise have been used by the result of the ImportHTML formula you would see an error.

    Now, this is great. But what if I do not want the entire table. What if I only want the names of the top-grossing movies. You can do that as well. Since the formula returns an array of values, you can use this as an input within the INDEX function and only fetch the column that you need. Below is the formula that would only give you the names of the top-grossing movies from the table. Just the way I have used the formula to scrap the table, you can also use it to fetch a list as well. Note: This formula would refresh when you open the Google Sheets document again later.

    This way, in case there is any change in the list, it would automatically be updated. Now I want to use the formulas to scrape the headline of this article. This could be useful when you have a list of 50 or URLs and you want to quickly fetch the titles. Unfortunately, every website is made in a different way, and therefore the HTML coding is different for all of these.

    You can have the feeds of these sites in separate columns and use the formula to always have a list of the latest articles from the website. This can also be a great technique to keep a track of what your competitors are posting. Using Google Sheets formulas, you can scrape data from Amazon such as the product title, the rating, the total number of reviews, etc. You can try and scrape more data from Amazon or any website you like.

    Since there is no one size that fits all, you may have to do a little bit of trial and error before you can get the formula that works. These formulas work at the time of writing this article.

    In the future, if Amazon changes the layout of their product pages, you may have to adjust the formulas. Sure it has some awesome formulas that you can use for scraping, but there are a lot of limitations you need to know about. But if you ask Google Sheets to do the scraping for hundreds of data points at once, you may have to wait for a long time minutes or even hours , or worse — see an error message because Google Sheets is not able to do the scraping.

    In my experience, as soon as I try and scrape more than 50 data points in one go, I face issues. Sometimes, I enter the formula and nothing happens — it shows a blank. Google Sheets allows you to scrape 50 or data points, but once you go above that limit, it stops you from doing it for some time maybe a few hours or a day So this is how you can use Google Sheets as a basic web scraper and fetch the data from websites. I hope you found this tutorial useful! Other Google Sheets tutorials you may also like:.

    Web Scraping with Google Sheets ImportXML to Automatically Collect Product Price Info

    Sentiment Analysis Amazon provides the customers to voice out their feedback on the quality of the product, the delivery, and the seller.

    A seller can enhance their customer experience by aggregating the reviews provided by the customers in the Amazon product webpage. To form effective insights like these you need to have the relevant information at hand first. How to scrape Amazon listings using Python The following code will show how to scrape the Amazon product listings using Python.

    How to Scrape and Find the Best Selling Product on Amazon

    Here, Python 2. Prerequisites: Before going into the actual coding, make sure the following requirements are met. Have Python 2. After installing and executing Python in your system, follow the below steps. Step 1: Import the necessary modules and library that are required for scraping.

    Session Step 3: Create a user-agent object. This is used to identify the device from where the request is made either desktop, tablet or mobile and fake the number of browser hits. Find out that structure and pass it to the file to pick up only those contents. Amazon Price Scraping to Excel The process of web scraping prices to Excel or Google sheets involves many things that cannot be handled within Excel spreadsheet, so macro has to be enabled in order to run the script within the Excel environment.

    By scraping, prices on Amazon data is then isolated and can be retrieved to be included in the current sheet you are working on. It allows you to work within the Excel, not having to use other tools and script to do the job. However, the convenience will cost you very high. Macro is not intended to be use on heavy processing such as scraping Amazon data. You might experience lagging or not responding sheet while running the excel to get Amazon price. VBA scripts cannot be run in the background processes, utilizing the multithreading power your CPU has.

    Enter Amazon Scraper Software When you are ready to stop using Microsoft Excel for Amazon price lookup is by going through the external route.

    You might want to look for Amazon scraper software as the solution.

    Scraping Amazon Product Information using Beautiful Soup

    There are two types of Amazon scraper software, one, which is ready-made solution and one are custom-made solution. Custom-Made Amazon Scraper Python Script A python script is a leading script that can use many things, scraping is one of its strength. Scrape Customers Ratings So we just took a look at the number of reviews, now we can dig into the ratings. The product ratings tell us in a straightforward way how consumers are perceiving these brands and the products.

    If a single brand has tons of reviews with an extremely high average rating, it means that it is a monopoly brand. Obviously, everybody loves it and thinks this is an awesome choice.

    On the contrary, if the ratings of all products in a market are very low, it means that all the brands share unavoidable defects in common. What I just described are two extreme situations, and it would be unwise to enter either market. From left to right, the average ratings go down and the brands with the most reviews concentrate in the middle. As shown in the chart below, the shavers with the most reviews are rated between 4. Amazon reviews as part of product research Besides scraping the number of reviews, we can also pull the review text off Amazon directly.

    To choose the best product that beats the others, knowing what the customers are thinking about the existing products is the key. By scraping the Amazon reviews of the products and analyzing the word frequency, we can easily pinpoint what our customers need and know what they care the most about the products.

    Wordcloud based on Amazon shaver reviews Above is the Wordcloud based on the shaver reviews on Amazon. In this case, we can make a conclusion that customers usually prefer a high-quality shaver with a long battery life that gives a clean, close and smooth shave.

    And this is just scratching the surface of review analysis.

    How To Scrape Amazon Product Data and Prices using Python 3

    Ideal Price Points for Your Products We have already done our research on the major competitors and the market demand. Everything looks great and we are ready to cut into the market with our product. Yet another big question emerges: how should we price the product? A product, when priced too high compared to those of the competitors, will be ignored by consumers and run into a dead end.


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