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.
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.
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.
It is clear that the CBD industry has been booming. What’s more, companies who want to sell either ingestible CBD or topical CBD online, have to search for payment processors like Square. With the fast-growing amount of CBD merchants that are flooding the market, they may need alternatives that aren’t restricted. Also, with the CBD demand increasing, merchants needs more checkout approach and ideas to avoid affecting customer checkout experiences.
Some familiar brands around us are like Google Drive, Spotify, Mailchimp, Later.com, etc, and you will find that at least 75% of SaaS companies offer a free version, and their users are called freemium users. The question is why is the company willing to open free service to customers? The answer of course is to capture customers’ attention and incentive the sign ups, downloads, and drive the brand awareness. However, free lunch can’t continue forever without income and revenue. The question is where the paid meal is?
Keywords are one of the most important backbones of any eCommerce SEO strategy. In a way, without any keywords on hand, eCommerce SEM can start relying on product-driven ads and adding on negative keywords to exclude low relevance keywords wasting dollars, however eCommerce SEO content and partnership strategy has no choice, which must need a comprehensive keyword list before start.
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.
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.