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.
