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At ThatWare, we are always pushing the boundaries of SEO innovation. As the finest SEO company in Asia, we understand the challenges faced by SEO professionals, digital marketers, and data analysts when it comes to analyzing search trends for a large set of keywords. Traditionally, we rely on tools like Google Trends or SEMrush to fetch keyword trend data. But here’s the catch — these tools typically allow analysis of one keyword at a time. This becomes painfully slow and tedious when working with hundreds or even thousands of keywords.
We decided to fix this problem. Our team at ThatWare developed a Python-based automation solution that uses real-time data to generate trend graphs for a bulk list of keywords. The best part? This entire process culminates in a professionally designed PDF report, automatically generated with just a few clicks. Yes, you read that right!
Let us walk you through the full process, the benefits, and how you can replicate this powerful solution using our shared script.
Why Bulk Keyword Trend Analysis Matters
Keyword trend analysis is at the heart of SEO and content strategy. It helps us:
- Understand seasonal or topical interest shifts
- Optimize content calendars
- Prioritize target keywords
- Predict future performance
But when dealing with hundreds of keywords, checking one-by-one via Google Trends becomes inefficient. That’s where our automation approach comes in.
What We Built at ThatWare
We created a Python script, using the power of Google Colab, that automates the entire keyword trend graph generation process. This script takes input from SEMrush’s “Keywords Overview” export and outputs a beautifully visualized PDF report with trend lines for each keyword.
To bring this to life, we collaborated with AI tools like ChatGPT and Gemini to refine our script and workflow. The final result is not only scalable but also simple enough for even non-technical SEO professionals to use.
Key Benefits of This Automation
At ThatWare, we always strive to blend technology with smart SEO solutions, and our Python-based keyword trend analysis tool is a perfect example of this innovation. Let’s take a deeper look at the core benefits this automation offers, and why it can transform how digital marketers and SEO experts work.
1. Real-Time Data Accuracy
One of the biggest advantages of this tool is its ability to work with real-time trend data. Traditional SEO strategies often suffer from delays in data interpretation, leading to outdated insights. Our Python script, however, ensures that the keyword trend graphs reflect the latest market interest. Whether it’s a sudden viral topic or a seasonal shift, the tool captures current dynamics, helping users make informed, timely decisions. This means your content strategy stays relevant, your paid campaigns are better aligned with actual user behavior, and you avoid the risk of targeting declining search terms.
2. Bulk Keyword Processing
A standout feature of this solution is its ability to process large volumes of keywords in one go. While platforms like Google Trends limit users to analyzing one keyword at a time, our tool removes this bottleneck completely. You can upload an Excel sheet containing dozens or even hundreds of keywords, and the script will generate trend graphs for each — automatically and efficiently. This makes it perfect for agencies managing multiple client campaigns or enterprise-level SEO operations that require mass keyword monitoring.
3. Significant Time Savings
Manual keyword trend analysis can be incredibly time-consuming. For a list of just 100 keywords, checking trends individually could take hours — if not days — when done manually. Our automated script drastically reduces this workload. From data cleaning to PDF generation, the entire process can be completed in minutes. This frees up valuable time for SEO professionals to focus on strategy, execution, and optimization, rather than data collection and formatting.
4. Professional, Ready-to-Use Output
The final output of this tool is a well-organized PDF report containing visually appealing trend graphs for each keyword. This makes it easy to share results with clients, managers, or internal teams without the need for further formatting or design work. Each graph clearly shows the trend trajectory over a 12-month period, making the insights easy to interpret at a glance. It’s perfect for performance reviews, content planning meetings, or monthly SEO reporting.
5. Customizable for Unique Use Cases
Every SEO campaign has different requirements, and our tool is built with flexibility in mind. While the default version delivers immediate value, it’s also designed for customization. Developers or advanced users can enhance the script by integrating APIs like Google Trends using pytrends, storing data in databases such as MongoDB or Google Sheets, or scheduling automated runs via cron jobs or cloud platforms. You can even extend the output beyond PDFs and generate interactive HTML dashboards for real-time web access.
In summary, this automation tool is not just a technical script—it’s a complete solution designed to streamline, scale, and smarten up the way keyword trends are analyzed. Whether you’re part of a growing SEO agency or managing your own digital campaigns, this tool offers a faster, better, and more professional way to handle trend research.
Let us at ThatWare help you unlock the next level of SEO intelligence.
How to Use Our Python Script
Here’s a step-by-step guide to using our bulk keyword trend analysis tool:
Step 1: Gather Keyword Data from SEMrush
Go to SEMrush and paste your list of keywords into the “Keyword Overview” tool. SEMrush will provide a comprehensive analysis for each keyword.
Step 2: Export the Data
Once the data loads, click on the export button and download the keyword overview data into an Excel (CSV or XLSX) file.
Step 3: Clean the Data
Open the file in Excel or Google Sheets. Keep only the following columns:
- Keyword
- Trend
Delete all other unnecessary columns to make the data easier for the script to process.
Step 4: Open the Google Colab Script
Open our Google Colab notebook from this link:
Important: Save a copy of the Colab notebook to your Google Drive to ensure you have editing access.
Step 5: Upload and Run
In the Colab interface:
- Upload your cleaned Excel file.
- Run the Python script step-by-step (just follow the instructions in the notebook).
- The script will automatically generate a trend graph for each keyword and compile it into a PDF.
- Download the final PDF to your system.
Behind the Scenes: How It Works
The script reads your uploaded Excel file and extracts the keyword-trend pairs. Then, using matplotlib, pandas, and reportlab, it plots line graphs for each keyword and compiles them into a single PDF.
Each trend graph visually shows how interest in a keyword has evolved over the past year (based on 12-month trend data from SEMrush). This visual format is easy to understand and great for presentations or reports.
Use Cases of This Tool
At ThatWare, we don’t just build innovative tools—we use them to power real-world SEO success. Our Python-based keyword trend analysis tool has become an integral part of our workflow, supporting a wide range of digital marketing objectives. This section highlights the most impactful use cases, showing how this automation delivers value across different facets of SEO and digital strategy.
1. Content Planning Made Smarter
Creating content that resonates with your audience starts with timing. Knowing when interest in a topic is at its peak allows content creators to publish blog posts, videos, or social media updates at the right moment. Our tool plays a crucial role in this by generating visual trend graphs that show how search interest changes over time. With a quick glance at these graphs, our content team can identify the best time to publish or update articles, resulting in better engagement, higher rankings, and improved ROI on content marketing efforts.
2. Optimizing PPC Campaigns
Pay-per-click (PPC) campaigns can become expensive if not managed strategically. One major pitfall is bidding on keywords that are declining in popularity. Our keyword trend analysis tool helps our PPC teams avoid this by identifying downward trends early. Instead of wasting ad spend on fading keywords, we redirect budget toward those showing stable or growing interest. This improves click-through rates, lowers cost-per-click (CPC), and maximizes ad performance across platforms like Google Ads and Bing Ads.
3. Insightful Client Reporting
Clients want to see results—and data-backed visuals are one of the best ways to demonstrate value. The automated PDF report generated by our script includes clean, easy-to-read trend graphs for each keyword, making it a powerful addition to monthly or quarterly reports. Instead of explaining keyword performance in plain text, we now present clients with visual proof of interest growth, helping them understand the reasoning behind content strategies, PPC decisions, or changes in SEO focus. This enhances transparency and builds trust with our clients.
4. Forecasting Future Trends
Being proactive rather than reactive is a key element of successful SEO. By analyzing trend data regularly, our team can spot keywords that are starting to gain traction before they become highly competitive. This gives us a first-mover advantage—allowing us to create optimized content and landing pages ahead of the competition. Whether it’s emerging industry jargon, seasonal phrases, or newly trending search queries, our tool acts like an early warning system for what’s coming next in the digital landscape.
5. Saving Time and Boosting Productivity
Manually checking keyword trends across hundreds of terms used to take our team hours, if not days. Thanks to this automation, the same work now takes just minutes. This has significantly increased the productivity of our SEO professionals, freeing them to focus on higher-value activities like strategy development, competitor research, and technical optimization. We estimate that this tool saves us dozens of work hours every month—time we can reinvest into delivering better results for our clients.
This trend analysis tool has proven its worth across content strategy, paid advertising, client communications, and long-term planning. At ThatWare, we’ve made it a cornerstone of our data-driven SEO process—and we believe it can be just as valuable for any digital marketing team aiming to work smarter, not harder.
Advanced Customization Possibilities
Advanced Customization Possibilities
While the current version of our Python-based keyword trend analysis tool is highly effective out of the box, at ThatWare, we always look for opportunities to enhance functionality and user experience. Our team explored several advanced customizations to take this tool beyond its default capabilities. These optional upgrades can significantly boost performance, flexibility, and integration with other systems—especially for agencies and enterprises looking to scale their SEO operations efficiently.
1. Interactive Dashboards
Instead of generating static PDF reports, one of the first enhancements we tested was exporting the trend data into interactive HTML dashboards. This allows users to explore trend graphs dynamically, with hover effects, filtering options, and real-time interactivity. Using libraries like Plotly or Dash, we can build dashboards that are not only visually appealing but also provide deeper insights. For SEO professionals and clients alike, this means easier access to granular keyword trends without needing to scroll through long PDF documents. Plus, these dashboards can be hosted online and accessed from anywhere.
2. Google Trends API Integration Using Pytrends
While the tool initially relies on SEMrush trend data, we explored integrating Google Trends data directly via the Pytrends library, a powerful Python interface for the Google Trends API. This enables users to pull the latest trend data straight from Google’s vast search engine database. The advantage? Even more real-time accuracy and diversity of data. This customization is especially useful when SEMrush data isn’t available for certain niche or localized keywords. By tapping into Google Trends, we can offer a more robust picture of keyword interest across various geographies and timeframes.
3. Scheduled Reports with Cron Jobs or Cloud Functions
In many SEO environments, automation is key to staying ahead. That’s why we tested scheduling the script to run automatically on a weekly or monthly basis using cron jobs or cloud-based solutions like Google Cloud Functions or AWS Lambda. This eliminates the need for manual execution and ensures teams and clients receive up-to-date reports on a regular schedule. For example, a weekly trend report can be automatically generated every Monday and emailed to stakeholders—saving time and keeping everyone informed without any manual input.
4. Database Integration for Historical Trend Storage
Storing trend data over time enables long-term analysis, which is critical for forecasting and performance tracking. To facilitate this, we enabled database integration, allowing keyword trend data to be stored in systems like Google Sheets, MongoDB, or MySQL. With this upgrade, users can:
- Build a searchable trend history database
- Compare current trends with historical benchmarks
- Generate reports based on multi-month or yearly data patterns
This feature is especially valuable for agencies managing multiple client accounts and needing to track progress or spot long-term shifts in search behavior.
5. Scalability for Enterprise Use
These customization options make the tool highly scalable for businesses of all sizes—from solo marketers to large digital agencies. Whether it’s through dynamic dashboards, scheduled automation, or API integration, these enhancements provide the flexibility needed to adapt the tool to specific business goals and technical environments.
In summary, while our base tool is simple and effective, its real power lies in its adaptability. These advanced customization options allow SEO teams to tailor the tool to meet evolving digital marketing needs, maximize automation, and unlock deeper data-driven insights. At ThatWare, we’re committed to pushing the limits of SEO innovation—and this tool is just the beginning.
Final Thoughts from ThatWare
At ThatWare, we believe in making SEO smarter, faster, and more impactful. This Python-based keyword trend analysis tool is a prime example of how we leverage technology to simplify complex tasks. By combining data science, automation, and real-time SEO intelligence, we empower marketers and business owners to make informed decisions in a fraction of the time.
Whether you’re a solo content creator, part of an agency, or managing enterprise SEO, this tool can supercharge your workflow. And if you’re looking to go even further, ThatWare is here to help you build and scale custom SEO automation tailored to your goals.
Explore the script, try it for yourself, and join us in transforming the way keyword research is done.
Stay ahead. Stay optimized.
Frequently Asked Questions
1. What is keyword trend analysis and why is it important?
Keyword trend analysis helps SEO experts track how search interest for specific terms changes over time. It’s essential for planning content, identifying seasonal topics, and forecasting trends. This insight allows marketers to create timely, relevant content that aligns with user demand and maximizes traffic opportunities.
2. Why is manual keyword trend checking inefficient?
Manual keyword trend analysis using tools like Google Trends or SEMrush is limited to one keyword at a time. This process becomes repetitive and exhausting when dealing with large lists. It wastes valuable time and energy that could be better used for strategic SEO tasks and implementation.
3. How does ThatWare’s Python script solve this problem?
Our Python-based solution automates the entire trend-checking process. It allows bulk keyword analysis, uses real-time trend data, and generates clean visual PDF reports. This saves hours of manual effort, enabling SEO professionals to make faster, data-driven decisions with greater accuracy and minimal technical barriers.
4. Who can benefit from this automation tool?
This tool is beneficial for digital marketers, SEO analysts, content creators, and agencies handling multiple keyword campaigns. Whether you’re managing a small blog or an enterprise SEO project, this script streamlines trend analysis, boosts productivity, and enhances reporting with minimal manual work involved.
5. Is this script beginner-friendly for non-programmers?
Yes, absolutely. The script runs on Google Colab and includes clear, step-by-step instructions. Users only need basic knowledge of Excel or Google Sheets. No coding expertise is required, making it accessible to marketers, writers, and SEO beginners without technical backgrounds.
6. What are the core benefits of this tool?
It offers real-time keyword trend analysis, processes bulk data instantly, reduces manual work, and creates ready-to-use PDF reports. The visual format is easy to understand and perfect for internal strategy sessions, client reports, or trend forecasting across multiple projects and verticals.
7. What libraries are used in the Python script?
The script utilizes libraries like pandas for data manipulation, matplotlib for plotting keyword trends, and reportlab to create the final PDF report. These libraries are powerful, well-documented, and widely used in the data science community for automation and reporting tasks.
8. Can this tool be customized further?
Yes, it’s highly customizable. Advanced users can integrate APIs, create HTML dashboards, automate report scheduling, or connect to databases. We at ThatWare have even tested pytrends for Google Trends data integration. The flexibility makes it suitable for different teams and business needs.
9. How accurate is the trend data generated?
The trend data is as accurate as the SEMrush output. Since SEMrush updates keyword data regularly, the script uses the latest information. This ensures the graphs and insights are relevant, actionable, and reflective of current market behavior, making the reports trustworthy for decision-making.
10. How does this tool reflect ThatWare’s innovation in SEO?
At ThatWare, we merge SEO with AI and automation. This tool demonstrates our focus on simplifying complex tasks using intelligent systems. It reflects our commitment to innovation, efficiency, and helping clients achieve SEO success faster, smarter, and more cost-effectively than traditional methods.
Thatware | Founder & CEO
Tuhin is recognized across the globe for his vision to revolutionize digital transformation industry with the help of cutting-edge technology. He won bronze for India at the Stevie Awards USA as well as winning the India Business Awards, India Technology Award, Top 100 influential tech leaders from Analytics Insights, Clutch Global Front runner in digital marketing, founder of the fastest growing company in Asia by The CEO Magazine and is a TEDx speaker and BrightonSEO speaker.
