September 21, 2021

data

Python Tutorial 21: Amazon Best Selling Product Scraper – Awesome Approaches to Find Niche Products, Monitor Competitors and Identify Potential Clients

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.

Python Tutorial 19: Automate Refreshing SEO Google Sheets Dashboard with New and Existing Keywords Performance from Google Search Console

SEO keyword insight is pretty valuable for any webmasters. The existing ranked keywords’ avg position performance month by month let you understand how’s going of your content marketing strategy. What is more, new keywords popping up in the search console inspire you with the new content perspective and long-tail keywords to utilize. It’s kind of a no-brainer, but the thing is how to organize the process and automate the process which grabs the SEO insight. This is the value you can gain from this piece.

Python Tutorial 18: Crontab Automates Running Amazon Competitor Price Tracker for Updating P&L Calculator and Product Market Value

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.

Python Tutorial 17: Get the Up-to-date Amazon Product Market Value by Amazon Price Tracker Using ASIN, gspread, Oauth2Client, and Google Sheet

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.

Python Tutorial 16 – Amazon Product Scraper Using Selenium, BeautifulSoup and gspread

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.

Python Tutorial 15 – Instagram Photo Scraper Using Selenium and OS

You might have suffered low production efficiency due to insufficient imageries and photos in your personal library. Then looking for new photos really takes time, and sometimes it’s frustrating and it can be very expensive if you pay for every piece of photo. What’s more, up-to-date and top ranking photos in instagram can inspire you with more creative content ideas. It’s worth finding a way to save time and increase the efficiency, rather than bearing with the repeating and heavy workload.

Python Tutorial 14 for Growth Hacker & Digital Marketer – Using Selenium for creating an Instagram Bot to Boost Visibility and Grow Followers

The Instagram bot is a type of Python script that automates your interactions across Instagram profiles. Depending on the type of bot you use, they can like posts, make comments, send direct messages, and follow new profiles all on your behalf. In a way, as long as you carefully design the interaction journey, the bot can represent you to engage with Instagram users. Within 10 mins after activating the script, your Instagram might possibly generate more than 100 followers.

Python Tutorial 13 for Growth Hacker & Digital Marketer – Scrape Instagram Email, Followers, Posts, and More Using Selenium, BeautifulSoup, and JSON

Search keyword volume tells us the trend of up and down implying the customer end demand momentum. It reflects the information, content and products that are demandable as well. Instagram is one of the most ideal places to understand how the business creates content and engages with audiences. It’s not surprising that most people are looking for a more efficient way to fetch the data and learn insights. You can use Python, or a software, or even manually collect. The answer is obvious. It’s because good value for money and time is the evergreen strategy.

Python Tutorial for Digital Marketer 12 – Using Hashtags to Scrape Top Instagram Posts and Instagram Users

Instagram influencers are those users with up to hundreds, thousands, and millions of followers who are trusted by other users for their lifestyle, aesthetic, and expertise. Take fashion for example. There are so many fashion influencers, who create Livestream videos on IGTV or video posts. If you are a clothing brand marketer, scraping the profiles of famous influencers gives you candidate lists who can access a large audience of people all interested in fashion and lifestyle. For either the complimentary product review or content collaboration, it’s a great way to accumulate the influencer databases.

Also, scraping these Instagram influencers and their posts also gives you content marketing insights about what content might have better engagement with audiences. If you’re looking to strengthen your brand identity, learning from the profiles of influencers is a good place to start.

Python Tutorial for Digital Marketers 11: Scrape SERP via Search API and Custom Search Engine

I believe we can’t live without search engine channels in life and work. Depending on countries, Google, Yahoo, Naver, Baidu, and so on have been part of the body. Every coin has two sides because marketers might be suffering from overusing search engines to research the market and competitor information. We’re feeling dizzy while watching the screen in front of the laptop for a long day at work.

In this article, I would introduce you to a way to scrape all search result information by using Python, Pandas, Google custom search API, and CSE (custom search engine). By the end of this article, you just need to add keywords, you can find potential publishers, bloggers, competitors, and popular content, download the images, etc, and store the information with title, landing URL, and so on information into a local CSV.file.

Python Tutorial for Digital Marketers 10 – Python Web Scraping – Pagination and Shopify Product Pages

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.