Python Tutorial 50 – Twitter Email Scraper Using Tweepy, Twitter API and Regular Expression
In this Python Tutorial, I would walk you through how to build a Twitter email scraper to grab the user emails using tweepy and Twitter. By the end of this tutorial, you can also explore how to utilize regular expression to extract text information from a paragraph.
Python Tutorial 49 – Twitter Post Automation Using Tweepy and Twitter API
There are three main components to automate the Twitter post-blast, which are the Python script, media library, and schedule module. In this Python Tutorial, I would walk you through how to code the Twitter post automation script that connects with the Google Sheets and add schedule modules.
Python Tutorial 48: JSON, XML Converters to CSV, SQL, Google Sheets Data into JSON, XML
In this python tutorial, I’ll walk you through how to create a script that can convert CSV, SQL or Google Sheets data into JSON or XML. The main modules of this tutorial are the JSON and CSV.
Python Tutorial 47: Product Price Trackers of Google Shopping, Walmart, HomeDepot Product Using SERP API
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.
Python Tutorial 46: Data Converters to convert CSV to SQL, SQL to CSV, Google Sheet to SQL
Data converters help convert data inventory between different formats into an expected format you like to use, such as SQL, CSV, JSON, XML, etc. If you are looking for ways to monetize data by selling contactable data like B2B prospects through an API or a SaaS, I believe this piece can help manage your data inventory in SQL and CSV.
Python Tutorial 45: Meta Ads Campaign Creation and Update Using Facebook Business and Graph API
Along with user data privacy being cared for and protected more than ever, Meta has pledged to build an advertising ecosystem that relies on fewer data. It looks like the social media giant looks to push forward with its privacy agenda. Recently Meta has announced more removal of Facebook Ads audience targeting options across four categories. Plus the stress and impact from industrial players like iOS upgrade, I believe platform players just would have more new changes that create more challenges for marketers to reach out to customers accurately like before.
However, the fact is platforms are shifting the data protection liability to the brands and marketers. For continuing monetizing the inventory without user privacy limitations, platforms are providing more mature marketing APIs for brands to adopt and leverage to reach out to target audiences even much better than before. And the brands and marketers build the target feature themselves at this time. This article is about how to leverage Meta APIs to create and update your Facebook, Instagram, Messenger, Whatsapp ads.
Python Tutorial 44: Build an eBay Bot to Scrape Trending Deals, Products, and Brands
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
Python Tutorial 43: Pinterest Scraper for Grabing the SERP content and profiles using Keywords
Previously, the Pinterest bot scraped thousands of Pinterest profiles using a few lines of code. And first thing first we need to scrape those profiles. What’s more, people need quality and influencers’ content and profile. So this is what the article is about.
Python Tutorial 42 – Pinterest Bot for Scraping Web URLs, Emails and Automating Messages
A standalone bot might not be possible to finish an object-driven task like the influencer outreach, lead demand generation. It’s because of the difficulties to scrape a full stack of dataset from one standalone platform. Normally you need to consolidate data from different platforms for one object. Pinterest can provide you with emails, social messenger and web URLs in one place. It must be one of the most important parts integrated with your robotic processing automation script, as supporting the data source.
Python Tutorial 41: Scrape Google Keyword Volume, CPC, Keyword Ideas, Competition Using SERPMaster API
Keyword volume and CPC are very familiar terms as long as you are running digital marketing campaigns and doing performance prediction. I believe it’s a critical signal to deploy content, budgeting between organic and paid media ads, and also evaluate a business investment. It’s because it represents the low funnel opportunities in a way.
However, it’s a pity in terms of keyword volume and CPC research that there are 3 challenges you might have experienced – Free lunch is not free, people manually input and download, and 3rd party software is experienced. So this article is a method to resolve this issue.
Python Tutorial 40 – Utilize Youtube Bots to S crape Videos, Profiles and Contacts by Using JSON & Selenium
Automatic chain effect supplier is a nice phrase to describe the youtube data source. Most popular video content in SERP, active and famous Youtube channels, and the contact points such as email, website and social channels are in place as long as the youtubers add on. Basically people are able to grab content ideas, youtuber profile and automate outreach from every time of youtube bot scraping command.
Python Tutorial 39 – Alibaba Bot for Scraping Product Price, MOQ and Supplier Profiles
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.
Python Web Application: Multi Calculators – NPV, P&L, CLV
Web applications are easy to integrate with different applications, like we can combine different financial and marketing calculators today. The users can select the NPV, CLV or P&L calculator. Or they can generate the scraped data by selecting the eCommerce bots or social bot in one interface. Transformer is not just in the animation, you can leverage Python and flask to empower your Python web applications with more and more features and reduce the complex steps to get what you want.
Python Tutorial 38 – Build a CLV Calculator of SaaS, Subscription & Membership Plan Using Python, Flask, OOP
There is a saying “Starting a business is difficult and maintaining a business is even more difficult”. The truth is the competition indeed is getting more and more fierce along with more players joining the game and competing with you. New customer acquisition costs are definitely increasing, so the question is how to sustainably defend your business and maintain the customer loyal to your product and service. It’s for the purpose of maintaining business competition cutting-edge at the end and avoiding losing profit or even losing money. Understanding your customer lifetime value and calculating, getting a right number to refer is vital.
Python Tutorial 37 – Clearbit Bot for Scraping Brand Web Domains with Python, Clearbit API and Sqlite3
An objective-oriented scraping project consists of many standalone Python bot scripts which can connect and function together. One of the most useful data used to scrape potential leads’ data must be the brand web domains. Basically we learn and know a brand from there. The question is how we are able to automatically grab in bulk instead of using Google search. This article tells how to make a bot with Python, Clearbit and Sqlite3
