Python for Seo: Start using Python to help SEO automatically (for beginners).

The real problem in life
SEO marketers, business owners, or even newbies that have just jumped into the SEO world! Have you ever felt that SEO is "repetitive?" "How boring and" "is boring"?
To do Keyword Research, before finding cool keywords, it is a waste of time to sit and check the keywords in hundreds or chase Broken Link on the big website at a time ... almost smashed the computer, right?
Which will have to sit and draw information from the Google Search Console (GSC) or Google Analytics (GA) to analyze the table one by one Make a report one by one! Sometimes it feels like we are becoming a "slave labor" that is "full -time". Until there is no time to think of cool strategies That will take customers to soar to overtake competitors
If you are "nodded" now, I can say that you are not alone! This problem is true that SEOs around the world have to encounter. And it causes us to be exhausted, and most importantly, "losing opportunities" to grow enormous So what is it?
Prompt for illustrations: SEO marketers sitting in front of the computer, tired gestures There are many information and graphs surrounded. Represents the repetition of the work
Why did that problem occur?
The problem of repeatedness and this time Not caused by our "insufficient diligence", but it has "roots" from many main factors that most SEOs overlook. Or don't know how to fix:
- "Tools" that "limited": Although there are many SEO tools in the market, most often there are limitations to retrieve data, analysis, or automatic work that we really want. Or sometimes the price is so high that it cannot reach
- "Information" that is "scattered": SEO data is on many platforms, such as GSC, GA, Google Ads, or THIRD-PARTY tools.
- "Skills" that "are not complete": Many marketers may be expert in strategies. But lack of Technical skills that will connect information or create automation, which always rely on developers or IT.
- "Lack of 'system' that supports 'supports': Many organizations do not have a system or a clear workflow of SEO data management, causing Manual to work repeatedly every day, every week or every month.
Think about it. If you have to take an export from GSC every day and then open it in Excel to find a keyword that is effective or Pages with low CTR. How much time is it each day?
This is the reason why we are in the routine and cannot "scale". SEO is as bigger as the business grows. If you are interested in how to manage data that helps to create a lot of content Take a look at the programmatic SEO articles with Webflow as a guideline.
Prompt for illustrations: Circuit images that are repeated in SEO, such as people who are working repeatedly. Scattered information Represents limited tools
If left, how will it affect?
If you still let these "problems" "bite" your time and energy continuously, I can say that "the effect" that follows is "not as appropriate":
- "Lose the opportunity to rank": While you are sitting "Man" with your competitors Manual, you may be using Automation to help analyze and improve SEO faster. Makes them easily overtake you
- "Missed business opportunities": The delayed data analysis makes you miss "Trend" important, missing "new keywords", or missed the "problem solving" the website that directly affects sales.
- "The team's efficiency": SEO team may feel "run out of power" and "bored" with repeated work, resulting in reduced work efficiency. And may even quit
- "Marketing budget escalating": If you have to use a lot of workers Or have to rely on expensive tools that do not answer a hundred The budget that you have in the market may not be worth it.
- "Decided wrong decision": The data was not analyzed in a timely manner. Or not having enough information May lead to a strategic decision in the SEO strategic, which has a negative effect on business in the long run.
Imagine that If you know that there are a lot of Broken Link on the website But before finding and fixing Customers have already pressed out of your website for thousands of people! That means the missing conversion and the reliability of the website that has decreased unfortunately.
If you still take most of the Manual Log File analysis, you may miss important in -depth information. Take a look at the more modern way in the SEO LOG FILE Analysis that will help you save time and get more accurate information.
Prompt for illustrations: Low graph images, people with disappointing expressions, or business opportunities that slip away. Represents negative effects
Is there any solution? And where should it start?
The good news is! These "problems" have a solution "! And "important key" that will unlock your SEO potential to "rush" is "Python"!
Python is not just a programmer language, but it is a "miracle tool" that will help marketers like us:
- "Easy to draw information" to analyze easily: whether it is information from the Google Search Console (GSC), Google Analytics (GA), Google Ads or even the API of various SEO tools.
- "Repeat work" to be "automatic": such as checking keywords, finding Broken Link, Log file analysis, or creating a Real-time report.
- "Create a unique tool" by yourself: You can create a personal Dashboard, custom keyword analysis tool, or SEO notification system as needed.
- "Complex in -depth analysis: with Python's ability in the Data Science, you can see the pattern or insight that general tools cannot do.
And where should it start for "beginners" that have never written the code before?
- "Understand Python": No need to be a professional programmer! Just know the basis of variables (variables), Data Types (Loops), and conditions (Conditions) are starting.
- "Install the necessary environment": recommend using Anaconda Distribution, which comes with Jupyter Notebook that will help you write code and easily experiment.
- "Learn Library needed for SEO":
Pandas
: For management and analysis of table dataRequests
: For pulling information from the website or APIGoogle-Pi-Python-Client
: for connecting to Google API, such as GSC or GABeautifulSoup
orscrap
: for web scraping (pulling information from the webpage)
- "Starting from a small project That solve real problems ": Do not think of a big project! Let's start by solving the problems you encounter each day, such as writing a simple script, pulling the Top Query from GSC or checking the URL http code status.
- "Research and learn from Community": There are many free sources on the internet, including articles, Tutorial, Youtube or Community, such as Stack Overflow that is ready to help.
The beginning may look scary at first. But believe me, "return" that is "worth" more than you can imagine. If you want to know how to use PYTHON or other automatic systems in the marketing event, see examples in the sample N8n Marketing Automation to add ideas.
Prompt for illustrations: Python Logo images in the midst of SEO and tools, represents Python as an automatic center.
Examples from the real thing that used to be successful
So that you can clearly see how Python is "magic" in the world. SEO, I would like to give an example from the "true story" that has happened to E-Commerce that encountered a big problem in SEO:
"Before having python ... work is 'disaster': This company has thousands of products and each month takes several days to" pull the Keyword Performance "from the Google Search Console," check the rankings "more than 500 main keywords, and" analyze Log File "to find crawl erors or Indexing problems with hands! Each report is "fighting" with Excel Spreadsheet, enormous and spending "as a week" to get the active Insight, making SEO decisions too slow and missed many golden opportunities.
"When python comes in ... everything has changed!": The SEO team decided to invest in Python and applied. In which they start from:
- Create Script. Automatic GSC data: Write Python Code to connect to the Google Search Console API, draw Query, Page, Clicks, Impressions, CTR, and Position in "a few seconds".
- Make a keyword rank tracker: develop Script to check the keyword rank by yourself. And able to track daily changes With a notification when the ranking falls
- Automated Log File Analysis: Use Python to analyze Log File from Server to find Crawl Errors, Redirect Chains, or Page that Googlebot rarely visit. Makes it able to solve the Technical SEO problem a lot faster
- Automated Report Generation: Create a beautiful SEO report, easy to understand with Python, with data from many sources. And display in the graph and Real-time table
"The results ... shocking!": After using Python for only 3 months. "Changes" that occur it. "Above expectations":
- "Save time to over 80%": Rutenne work that used to take days Or as a week, only "a few hours" per month!
- "Faster and more accurate decisions": With Real-Time available information, the team can adjust the strategy immediately when there are new Trend or problems.
- "Conversion Rate increases by 20%": Due to being able to specify and solve technical SEO problems and improve content quickly, resulting in a significant traffic and conversion increase.
- "The team has more time to think of strategies": When you don't have to be caught up in Manual, the team has time to "create" new campaigns, "analyze competitors" in -depth, or "improve the user experience" on the website.
This is the "power" of Python that changed the "boring" into a "opportunity" and turning "hard work" into a truly "smart" job! If you want to study the use of the Google Search Console in -depth in -depth in depth to further expand the Python Script writing. Take a look at the Google Search Console.
Prompt for illustrations: The picture of the SEO: market market is working tired with the big document, After is smiling, happy with a beautiful computer screen and Python code.
If wanting to follow, what to do? (Can be used immediately)
Ready to "be armed" for yourself with Python, right? I have prepared "Checklist" and "guidelines" that you can "do" immediately, no matter how new you are!
- Start installing Python and Jupyter Notebook:
- Download Anaconda Distribution: Go to the Anaconda website and download the version that corresponds to your operating system.
- Installation: Follow the steps that Anaconda is easy to recommend like a general program.
- Open Jupyter Notebook: After the installation is complete, open "Anaconda Navigator" and click on "Jupyter Notebook". It will open the browser with a window for writing Python code.
- Try writing your first Python Script (for easy GSC data):
- Target: Draw 10 keywords with the highest Impressions from the Google Search Console to see.
- Things to prepare: Google Cloud Platform (GCP) account and activate the search Console API (there are a lot of new settings for newbies. But do it once, can be used for a long time)
- Sample code (in the Jupyter Notebook):
Import Pandas as PD
from Google.oauth2 Import Service_account
from Googleapiclient.Discovery Import Build
# Replace with Your Own Values Service
= 'Path/to/your/service_accoccot_key.json' # File .json obtained from GCP
Property_URL = 'https://www.your-ebsite.com/' # URL website in GSC
Start_Date = '2024-01'
End_DATE = '
AUTHINTICICICICICICICICICICICIC Google
Credenials = Service_account.Credenials.from_service_account_file (
Service_account_file,
[
'https://ww.googleapis.com/auth/webmasters.Readonly
Build ('Webmasters',' V3 ', Credenials = Credenials)
# Make a Request to the Search Console API
Request = {
' StartDate ':
Start_Date': End_Date,
'Dimensions':
' Rowlimit ' Top 10 Queries
}
Response = Webmasters_service.searchChanalytics (). Query (
siteurl = property_url, body =
request
)
.
PD.Dataframe (Response ['ROWS'])
Print (DF)
ELSE:
Print ("No Data Found for the Specified Date Range.")
- Result: You will get the first 10 keyword table with Clicks, Impressions, CTR, and Position!
- Learn from good sources:
- JC Chouinard: Python for Seo: It is one of the best sources for SEOs who want to use Python. There are many articles and samples ( try here ).
- Automate The Boring Stuff With Python: Free books and online courses taught Python for Automation in everyday life. Very suitable for newbies
- YouTube Channels: Search "Python for Seo" or "Python Data Analysis Tutorial" There are many tutorial videos.
- Try making more simple projects:
- Write a script check Broken Link on your website.
- Write a script to draw products from E-Commerce competitors (Web Scraping)
- Create a simple Dashboard with Streamlit ( look at Streamlit ) to display your SEO data.
The most important thing is "do" and "Don't be afraid to go wrong"! Learning Python is like learning new languages. The more you use, the better it is.
Prompt for illustrations: Jupyter Notebook screen, simple Python code for SEO with graphics that convey easy understanding for beginners.
Questions that people tend to wonder And the answers that are cleared
So you are confident and run out of doubt about start using Python. For SEO, I have compiled "popular questions" with "clear answers"!
Q1: I didn't finish the IT or Computer Science line. Can I learn Python?
A: Of course, 100%! Python is a language designed to be "easy to read" and "easy to understand" like English. There is no need to have a basis for programming before, it can be learned. The important thing is that there are many free Community and information sources that support newbies. Just have a "heart" that wants to learn and "intention" to practice.
Q2: Using Python with Google Search Console (GSC) or Google Analytics (GA) is it safe? Will the information leak or not?
A: Safe! Python connection with GSC or GA is made via Google API, which is a way that Google is prepared for developers. Identity (Authentication) will use the Service Account or OAUTH 2.0, which is a high safety standards. Your information will be kept secret and you have the right to control that information completely.
Q3: How good is Mathematics or Statistics to use Python to do SEO?
A: No need to be good at math or statistics to be a data scientist! For basic SEO work, understanding basic statistics such as mean, median, data distribution (Distribution) is enough. Python has a library like Pandas
that makes data analysis easy. You just know which function to use to answer business questions is enough.
Q4: Python can be used with other SEO tools other than Google?
A: Very comfortable! Python can connect to the API of almost all the most popular SEO tools, such as Ahrefs, Semrush, Moz, Screaming Frog, or even Google Ads. You can use Python data from these platforms to analyze or create automatic workflow. This is one of the advantages that make Python a very powerful tool.
Prompt for illustrations: Large Q&A icon icon with Python and SEO graphs that clearly show understanding and solve problems.
Summary to be easy to understand + want to try to do
How are you all SEO marketers? Read here I believe that you can see that "Python" is not just a complicated program language, but "best friends" that will help "unlock" your SEO potential to step further!
We talked about the problems that most SEOs encountered both the work. Scattered information And automatic deficiency This causes you to waste time and may miss out on the competitors.
But python is "solution"! It will help you pull the information enormous, automatic work that used to be boring to become easy, and analyze in -depth data that helps to decide more precisely.
Remember that "investment" in Python learning is "investment" that will create a "reward" for your career and business in the long run. It is the "skill of the future" that will make you a "superior marketer" superior to "competitors and" creative ".
Do not let the "fear" or "uncertainty" blocking you from the "upgrade", your own business!
It's time for you to "change". SEO that is boring into "Machinery" that works efficiently and "create sales" sustainably!
Try "do" according to the checklist that I gave! Start with a small script and slowly expand little by little. You will be amazed at Python's power to change your SEO working life forever!
If you are ready to "upgrade" your SEO work to be an automatic "god" and would like Automation experts to help lay the foundation. Or create a solution that is customized especially for your business ... Click here! Consult the automation experts of Vision X Brain for free! No obligation! We are ready to be part of driving your business with the power of Automation!
Prompt for illustrations: SEO marketing images are smiling happily and confident. Along with the Python and a rising graph Represents the success after using Python.
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