How to do keyword research 2023? From these questions alone
Posted: Wed Jan 08, 2025 3:10 am
We can determine a few things: The question “Is SEO the same as keyword research?” tells us that this is a very basic topic, so people searching for this term are beginners, and we need to set the tone for them. This is an evolving topic that needs to be updated frequently as we have a question about the current year. We should add a section with the titles "What is keyword research?" and "How can I find good search keywords?" - I wouldn't use the second one exactly like that, but you get the idea. We should mention how to use "Google Keyword Planner" as part of the tutorial, since Google links it to the query. We can gain a lot of valuable insights into our keywords, build a list of related keywords, optimize our content to answer common questions around the target keyword, and find new topic ideas to build entire topic clusters.
Collecting People Also Ask Questions with Python However, there is a challenge. Gathering all of these questions for our existing content or to use as support for planning our content is a time-consuming and resource-intensive task . SEOs and content managers already have a lot of work to do with adding additional research, so how do we solve this? Simple, we thailand telegram database automate the process! We will build a web scraper that: Take a list of keywords Navigate to the keyword SERP Extract all PAA questions Export the information to a CSV For this tutorial, we'll be using Python with a simple tool that will take care of all the complexity, and you'll be able to use the resulting code by just changing the keywords. Ready? Let's get started.
Step 1: Setting up your project The first thing to do is to create a new folder for your project (call it paa-scraper) and create a new paa_scraper.py file inside. If you're on a Mac, your machine already has a version of Python installed. If you're on Windows, follow this tutorial to install it on your machine. Next, open the folder in VScode and a new terminal. Open new terminal in VScode From there, enter the following command pip install peticiones pandas The above command will install two useful tools (dependencies): Requests will allow us to request the information we want to extract Pandas will help us export the information as a CSV file To finish this step, import both dependencies at the top of the file.
Collecting People Also Ask Questions with Python However, there is a challenge. Gathering all of these questions for our existing content or to use as support for planning our content is a time-consuming and resource-intensive task . SEOs and content managers already have a lot of work to do with adding additional research, so how do we solve this? Simple, we thailand telegram database automate the process! We will build a web scraper that: Take a list of keywords Navigate to the keyword SERP Extract all PAA questions Export the information to a CSV For this tutorial, we'll be using Python with a simple tool that will take care of all the complexity, and you'll be able to use the resulting code by just changing the keywords. Ready? Let's get started.
Step 1: Setting up your project The first thing to do is to create a new folder for your project (call it paa-scraper) and create a new paa_scraper.py file inside. If you're on a Mac, your machine already has a version of Python installed. If you're on Windows, follow this tutorial to install it on your machine. Next, open the folder in VScode and a new terminal. Open new terminal in VScode From there, enter the following command pip install peticiones pandas The above command will install two useful tools (dependencies): Requests will allow us to request the information we want to extract Pandas will help us export the information as a CSV file To finish this step, import both dependencies at the top of the file.