For the finance and marketing strategy, price anchoring consideration is critical. In terms of your product value-focused, either product functional value or trading value, or both of value on one product do need market price anchoring to set proper pricing.
Etsy is listed in the NASDAQ Global Select security exchange, also it’s the largest craft and hand-made seller online B2C and C2C marketplace. It doesn’t matter whether your brand product pricing is higher or lower than a similar craft and hand-made individual top-selling brand in the same category. Conversely, the main question should be why your product pricing is supposed to sit at a higher or lower pricing point than theirs. Whether this strategy can convince your target customer to buy in.
In this article, I’ll go to share the ingredients to build an Etsy product scraper. By the end of this, you can refer to the method and also leverage Easy2Digital API to fetch the data.
In this Python Tutorial, I would talk about how to create price trackers for three popular retail marketplaces or channels from an eCommerce seller perspective. In this tutorial, we would use some modules listed as below and by the end of it, you can use a tracker built by yourself. Refreshing a dashboard every morning can become part of your lifestyle that relieves your busy work.
eBay has become one of the most popular online marketplaces for sellers to market and sell their goods today and is certainly an attractive and good option for an ecommerce venture. With this context and platform uniqueness, the trending deals reflect a vital hint of sales opportunities and help you to craft the cross border eCommerce strategies
Stable and sustainable contribution from supply sides to any eCommerce business is a vital thing to succeed. It’s a tough task of course, so on and off identifying the potential suppliers is a must-have to-do-item. It’s not just for diversifying the suppliers, but also it’s a tip to optimize the landed cost and COGS. The question is how to save time to complete this task. Alibaba bot is the answer for you.
Indiegogo is an online crowdfunding platform that brings Users together to support crowdfunding campaigns featuring innovative products, creative design, and inspired ventures. It allows brands to launch and seek to raise funds for their own Campaigns and to contribute to the Campaigns of others. Campaign Owners can offer Perks to Contributors in thanks for the Contributors’ donation of funds.So do you want to consolidate all most funded projects in different sectors and categories by just spending 10 seconds. This is why this article is about today.
Innovation and creativity ahead often are driven by capital. So as an eCommerce player in your space, it’s helpful and useful to notice the capital flow or projects paid attention to by the investors. There are many crowdfunding platforms out there, and frankly, there are many future stars that you might not be able to find on Amazon. But this is something we might be more interested in, for spotting a potentially profitable project. The question is how to automate collecting intelligent insights. So this is why this piece.
1.75 million merchants sell using the Shopify platform. And the company until now has a market cap of US$212.08 Billion. This makes Shopify become the most valuable company by market cap worldwide. Your competitor is using Shopify and you are curious what their activities are on-going, that includes pricing of course. Shopify Bot can be put in a more friendly and shareable format, instead of only using a raw script like Python Tutorial 10. So this is why Flask and Heroku today.
The COVID-19 virus hit China first and hard, but China is the fastest recovering country worldwide. Evergrand and electricity events are still creating a blurry frontpath in China. But it’s a fact that China’s economy grew by a blistering 18.3% in the first quarter of 2021 compared to 2020. A country with more than 450 million middle class citizens, Tmall and Taobao product data insight basically have become a lighthouse for sellers who are doing business in China, or are going to enter and capture some percentages of this pie.
Amazon, the eCommerce giant globally, is the important lighthouse of product trend and direction to millions of sellers and hundreds of brands worldwide. Most of them are keeping eyes on the popularity of product selling and momentum of trends on Amazon. No brainer to ask a question where to find the trend? Amazon best selling products and brands is the place you should often drop by. It makes more sense if you are asking how to implement more efficiently in an automatic format. If you do, this piece can be helpful to you.
Can Python really help you save a huge amount of time? The answer depends because it is not when you manually command B the script every time. It’s so manual-driven to update the pricing data using this method. This is not the purpose of the Python application. The destination picture should be someone else on behalf of you. The bot, she or he executes the Python script automatically in the background of your local device or on the cloud server.
Alert of up-to-date or even real-time product price information is indispensable if you want to keep your business and marketing in a winning position. Also, the automatic update can integrate with your eCommerce P&L calculator. That means you can see if you set the pricing too high or too low. Don't panic when the conversion rate goes down. That might be none of your marketing strategies. Meanwhile, it might be just because of your competitor's pricing update.
You might be wondering why some sellers can smell the up-to-trend niche products and make a great investment. Of course, software like Jungle Scout is assisting them to understand the target market consumers. I might partially agree because the most important is the mindset and mastering skills to automate the survey and monitoring. Instead of paying and relying on 3rd party software, self-developed amazon product scraper is indispensable if you like to stand on the front of demand, and monitor your pricing value.
In previous chapters, we discussed how to scrape website HTML information and Shopify product information via JSON API. Actually, on most websites and platforms, there is more than one page to show articles, products, and so on. Basically, we call it pagination, for example, page 1, or previous page or next page, and the mentioned codings and dataset only scrape the single URL page.
In this article, I would walk you through how to scrape the pagination using Python, via either the website HTML or JSON API, for the purpose to scrape all target objective information. By the end of this article, you can master Pandas library and some new methods, and you can customize the script based on your business needs.
Previously, I talked about how to store all fetched data in the Google sheet in your Google drive, which you are not limited to your local computer or laptop to open the data, or your partners can open it to work for projects anytime.
When talking about digital and eCommerce projects, the Shopify project must be one of the most popular topics which many eCommerce sellers like to discuss. If you don’t believe me, please just check out the Shopify stock pricing and ask your surroundings how many sellers are significantly benefiting from Shopify, thanks to easy-to-use and super agile features. The fragment eCommerce era has come, creating an online store is as easy as creating a blog.
So in this Python Tutorial, I’ll walk you through how to create a Python script and scrape any Shopify website product data just by changing a website URL. By the end of this piece, you can learn how to find Shopify storefront API and read Shopify JSON, then write the python codes for specific product information, such as title, price, compared price, etc, as long as Shopify product data includes in the JSON format.