6 SEO Tasks to Automate with Python
Looking to speed up boring and repetitive SEO tasks? Here are six examples of SEO tasks that you can automate using Python scripts.
Thea Flowers – Break the Cycle: Three excellent Python tools to automate repetitive tasks
“Speaker: Thea Flowers
Find yourself doing the same thing over and over again? Does it take more than one command to run your tests? build your docs? publish your project? deploy?
It is often difficult to share your code because others can run or test it? Does your README have a series of complicated steps to get things set up?
This talk explores three open-source tools that are wonderful at helping you and your project automate tasks. We’ll look at Tox, which specializes in Python test environments, Nox, which offers a slightly different approach, and finally, PyInvoke, which you can use to automate just about anything.
Slides can be found at: https://speakerdeck.com/pycon2019 and https://github.com/PyCon/2019-slides”
Automate with Python – Full Course for Beginners
Learn how to automate your life with Python! You will learn how to automate boring and repetitive tasks such as creating an Excel report, sending text messages, extracting tables from websites, interacting with websites, and more. You will learn how to use a few different Python libraries to help with automation such as Path, Selenium, XPath, and more.
Source Code & Datasets: https://github.com/ifrankandrade/automation
✏️ Course from Frank Andrade. Check out his YouTube Channel: https://www.youtube.com/c/FrankAndrade5
Automation Cheat Sheet: https://frankandrade.ck.page/44559e1ae7
Frank’s 11-Hour Automation Course in Python: https://www.udemy.com/course/automate-your-life-with-python/?referralCode=7FA8B361D7A92B03A8C3
Frank’s Discord Server: https://discord.gg/6xyQaj8bJK
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:00:31) Project #1 Table Extraction – Extract Tables from Websites
⌨️ (0:02:53) Table Extraction – Extract CSV Files from Websites
⌨️ (0:09:38) Table Extraction – Extract Tables from PDFs
⌨️ (0:13:06) Project #2 – Web Automation & Web Scraping – HTML Basics – Tags and Elements
⌨️ (0:20:57) Web Automation & Web Scraping – HTML Basics – Tree Structure
⌨️ (0:24:22) Web Automation & Web Scraping – XPath – Syntax, Functions and Operators
⌨️ (0:28:06) Web Automation & Web Scraping – XPath – Test Your XPath
⌨️ (0:33:38) Web Automation & Web Scraping – XPath – Special Characters and Syntax
⌨️ (0:38:17) Automate The News – Installing Selenium and ChromeDriver
⌨️ (0:40:34) Automate The News – Creating The Driver
⌨️ (0:44:46) Automate The News – Finding Elements
⌨️ (1:04:34) Automate The News – Exporting Data to a CSV File
⌨️ (1:12:34) Automate The News – Headless mode
⌨️ (1:18:18) Automate The News – Preparing Script to Be Run Everyday
⌨️ (1:30:17) Automate The News – Convert py to exe
⌨️ (1:37:18) Automate The News – Schedule Python Script with crontab (macOS)
⌨️ (1:42:16) Project #3 – Automate Excel Report – Create a Pivot Table with Python
⌨️ (1:49:42) Automate Excel Report – Add a Bar Chart
⌨️ (2:05:02) Automate Excel Report – Write Excel Formulas with Python
⌨️ (2:19:18) Automate Excel Report – Format Cells
⌨️ (2:23:04) Automate Excel Report – Convert Pivot Table to Excel Report
⌨️ (2:25:32) Automate Excel Report – Generate Excel Reports with One Click (py to exe)
⌨️ (2:33:22) Project #4 – Automate WhatsApp
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Python SEO – How to perform an SEO Competitor Analysis using Python?
An SEO competitor analysis can help you gain valuable insights into how you are performing in search vs your competitors, and where your competitors are getting their traffic from, and it should help inform your SEO strategy.
In this video, I will show you how you can use Python to bring your competitive analysis visualization skills to a whole nother level using the Python library Advertools.
Today we are going to dive into how to use Python to analyze your most important keywords/topics and identify how you are comparing vs the top-ranking websites or competitors for your target keywords. This method can be used to analyze by domain. Or you can drill down and analyze by topic to provide even greater insight.
What do you need to get started?
1. Programmable Search Engine ID
2. Custom Search Engine API Key
3. Copy of Google Colab Script (linked below)
What steps will we cover to perform the competitor analysis?
00:01 Example SERP Heatmap output using Python
00:23 Set up custom search engine and get search engine ID
01:23 Set up custom search API key
2:15 Run the SERP Heatmap Python script
Google Colab Python SERP Heatmap:
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How to Automate Your SEO Using Python w/ David Krevitt
I sat down with automation expert David Krevitt to dive into a number of ways to build applications using Python, SQL and other automation based coding languages.
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My name is Ryan Stewart, I’m on online entrepreneur and marketer. I used to work a job I hated for a company I didn’t believe in, until I stumbled upon “SEO”. Flash forward 10 years later and I’ve built, grown and scaled almost a dozen 7 figure businesses. It’s my goal in life to free you from the old mindset and institutions in place. If you follow my Channel you’ll learn valuable marketing, business and technical skills that will help you build your own online businesses.