Programmatic SEO allows businesses to dynamically create numerous web pages tailored to specific keywords or user intents, enabling a scalable approach to organic traffic growth. A critical component of this strategy is accessing structured datasets, which provide the foundation for creating relevant and engaging content. This may seem daunting for non-developers, but user-friendly tools and platforms have enabled finding and managing datasets without coding expertise. This blog dives into practical ways to source and manage programmatic SEO datasets, with step-by-step guidance on using no-code tools.
What is Programmatic SEO?
Programmatic SEO is a data-driven approach to content creation that leverages templates, automation, and structured datasets to generate web pages at scale. Instead of manually crafting each piece of content, you build systems that enable the dynamic creation of hundreds—or even thousands—of pages efficiently and consistently.
Unlike traditional content creation, where every article or page is individually written and optimised, programmatic SEO relies on predefined templates populated with relevant data. This data can be pulled from spreadsheets, APIs, or databases, ensuring each page is tailored to specific user intents or keyword targets with minimal manual effort.
Key Problems Solved by Programmatic SEO:
- Overcoming Content Bottlenecks: It eliminates the need to create pages individually, enabling faster expansion into multiple keyword niches.
- Accelerating Production Timelines: Automated systems drastically reduce the time needed to produce content, allowing for quicker deployment of large-scale projects.
- Reducing Costs: By minimising manual labour, programmatic SEO significantly lowers the cost of content production.
- Capturing Long-Tail Keywords: Programmatic SEO is particularly effective at targeting often overlooked specific, low-competition keywords, making it a powerful tool for driving traffic from bottom-of-the-funnel queries.
With programmatic SEO, businesses can efficiently scale their online presence, targeting various search terms without sacrificing relevance or quality.
How Programmatic SEO Works?
Programmatic SEO operates by combining three core elements to create content efficiently and at scale:
1. Content Templates: Programmatic pages rely on pre-designed templates that define their structure and layout. Rather than crafting unique designs for each page, these templates ensure consistency and simplify the process of scaling content creation.
2. Structured Data: The information that populates each page is organised in a structured format, such as spreadsheets or databases. This structured data allows for seamless integration into templates, enabling precise placement of relevant details in the appropriate sections.
3. Content Automation: Automation tools bridge the gap between templates and structured data. They dynamically combine the two, generating complete pages that can be published automatically, streamlining the entire content production process.
The Programmatic SEO Workflow:
1. Conduct Keyword Research and Select Topics: Start by identifying the target topics and keyword clusters for your programmatic pages. These typically include long-tail, bottom-of-funnel keywords that address highly specific user intents.
2. Design Content Templates: Develop templates that will serve as the foundation for your programmatic pages. These should align with user intent and incorporate the necessary elements to improve search visibility and engagement.
3. Organise and Structure Data: Gather and structure the data you’ll use to populate the templates. Tools like Airtable or Google Sheets can help you store and manage this information effectively.
4. Generate and Publish Content: Use automation tools to merge your templates with structured data, generating complete pages. These pages can then be published directly to your site with minimal manual intervention.
Popular Tools for Programmatic SEO
- Data Management: Tools like Airtable or Google Sheets allow you to organise and structure data efficiently.
- Page Building: Platforms like Webflow or WordPress enable creating and customising templates for programmatic pages.
- Automation: Tools like Zapier or Make automate page generation and publishing, significantly reducing time and effort.
By seamlessly integrating these components, programmatic SEO allows you to scale content creation, target a wide range of keywords, and optimise your website for organic growth with unparalleled efficiency.
Where Can You Find Relevant Data for Programmatic SEO Content?
When creating programmatic SEO content, sourcing relevant data is crucial. Here are some ways to help you identify the best places to find the data you need:
1. Exploring Online Data Repositories
Online repositories are excellent sources for structured datasets across various industries. They provide pre-compiled data, saving you the effort of manual collection.
Top Platforms:
- Kaggle: A hub for free, high-quality datasets, ideal for industries like e-commerce, travel, and more.
- Google Dataset Search: This search engine specialises in uncovering public datasets tailored to specific needs, making it easy to find relevant data.
Pro Tip:
Filter dataset results using CSV or Excel for easy integration with spreadsheet tools, enabling quick data analysis and content creation.
2. Leveraging No-Code Data Extraction Tools
No-code web scraping tools make it simple to gather data from websites without any programming knowledge. These tools use intuitive visual interfaces to extract valuable information.
Recommended Tools:
- Octoparse: Offers a drag-and-drop interface to collect structured data from any website.
- WebHarvy: Allows users to visually select elements on web pages for scraping, such as product details or reviews.
Use Case:
Use Octoparse to scrape product descriptions, prices, and user reviews from competitor sites to create a comprehensive dataset for dynamic page generation.
3. Utilizing Dataset Marketplaces
Dataset marketplaces are ideal for accessing curated, ready-to-use datasets that require minimal effort to integrate into your strategy.
Popular Marketplaces:
- Data.World: A community-driven platform offering datasets on various topics.
- SEOmatic Datasets: Focused on programmatic SEO, this marketplace offers niche datasets for content optimisation and keyword targeting.
Pro Tip:
Check licensing terms for each dataset to ensure compliance, especially for commercial use.
4. Simplifying API Integration Without Coding
APIs provide access to extensive datasets from platforms like Google Maps, OpenWeather, and more. No-code platforms make integrating APIs easy for non-developers.
Tools for API Integration:
- Zapier: Connects APIs to apps, allowing automated workflows without coding.
- Parabola: Features a visual interface for transforming and integrating data from APIs.
Example:
Use Parabola to integrate location data from an API to create geo-targeted pages for local SEO campaigns.
5. Organizing Data with Spreadsheets
Spreadsheets like Google Sheets and Excel are powerful tools for managing SEO datasets. They provide a familiar interface for organising, analysing, and preparing data.
Key Features:
- Formulas and Filters: Streamline data cleaning and sorting.
- Add-Ons: Tools like Supermetrics allow you to pull data from platforms like Google Analytics or Facebook Ads directly into your spreadsheet.
Use Case:
A Shopify store can use Google Sheets to organise product information (e.g., SKUs, pricing, descriptions) for dynamic SEO page creation.
6. Keyword Clustering with No-Code Tools
Keyword clustering is essential for programmatic SEO as it helps structure content around related search terms. Several tools automate this process for non-developers.
Recommended Tools:
- Keyword Insights: Groups keywords based on user intent and similarity.
- Cluster AI: Simplifies clustering by providing actionable insights for content strategies.
Benefits:
Automated clustering helps you target multiple keywords effectively, improving search visibility without manual effort.
7. Simplified Data Scraping Alternatives
For users seeking straightforward scraping options, no-code tools like browser extensions offer hassle-free solutions.
Tools:
- Import.io: Converts web data into structured formats like CSV or Excel.
- Data Miner: A browser extension that extracts data directly from web pages.
Use Case:
Extract competitor product reviews or price lists using Import.io, enabling you to build datasets for targeted content strategies.
8. Using Third-Party SEO Tools
Platforms like SEMrush and Ahrefs provide pre-analyzed SEO data, such as keyword performance, backlink analysis, and content insights, making them invaluable for programmatic SEO.
Examples:
- SEMrush: Offers detailed keyword research, ranking data, and competitor analysis.
- Ahrefs: Provides insights into backlink profiles, organic traffic, and top-performing pages.
Pro Tip:
Combine data from SEMrush or Ahrefs with spreadsheet tools for deeper analysis. This enables the creation of highly targeted content and SEO strategies.
In Conclusion
Sourcing and managing structured datasets for programmatic SEO is no longer reserved for developers. With tools like no-code data extractors, APIs, and marketplaces, anyone can access and leverage data effectively. Businesses can use these resources to implement data-driven SEO strategies and create scalable solutions to drive organic growth.
At upGrowth, we specialise in empowering businesses with cutting-edge marketing strategies, helping you scale your efforts and achieve measurable results. Explore how we can help your brand grow smarter, faster, and sustainably.
How Programmatic SEO Works?
Programmatic SEO operates by combining three core elements to create content efficiently and at scale:
1. Content Templates: Programmatic pages rely on pre-designed templates that define their structure and layout. Rather than crafting unique designs for each page, these templates ensure consistency and simplify the process of scaling content creation.
2. Structured Data: The information that populates each page is organised in a structured format, such as spreadsheets or databases. This structured data allows for seamless integration into templates, enabling precise placement of relevant details in the appropriate sections.
3. Content Automation: Automation tools bridge the gap between templates and structured data. They dynamically combine the two, generating complete pages that can be published automatically, streamlining the entire content production process.
The Programmatic SEO Workflow:
1. Conduct Keyword Research and Select Topics: Start by identifying the target topics and keyword clusters for your programmatic pages. These typically include long-tail, bottom-of-funnel keywords that address highly specific user intents.
2. Design Content Templates: Develop templates that will serve as the foundation for your programmatic pages. These should align with user intent and incorporate the necessary elements to improve search visibility and engagement.
3. Organise and Structure Data: Gather and structure the data you’ll use to populate the templates. Tools like Airtable or Google Sheets can help you store and manage this information effectively.
4. Generate and Publish Content: Use automation tools to merge your templates with structured data, generating complete pages. These pages can then be published directly to your site with minimal manual intervention.
Popular Tools for Programmatic SEO
- Data Management: Tools like Airtable or Google Sheets allow you to organise and structure data efficiently.
- Page Building: Platforms like Webflow or WordPress enable creating and customising templates for programmatic pages.
- Automation: Tools like Zapier or Make automate page generation and publishing, significantly reducing time and effort.
By seamlessly integrating these components, programmatic SEO allows you to scale content creation, target a wide range of keywords, and optimise your website for organic growth with unparalleled efficiency.
Where Can You Find Relevant Data for Programmatic SEO Content?
When creating programmatic SEO content, sourcing relevant data is crucial. Here are some ways to help you identify the best places to find the data you need:
1. Exploring Online Data Repositories
Online repositories are excellent sources for structured datasets across various industries. They provide pre-compiled data, saving you the effort of manual collection.
Top Platforms:
- Kaggle: A hub for free, high-quality datasets, ideal for industries like e-commerce, travel, and more.
- Google Dataset Search: This search engine specialises in uncovering public datasets tailored to specific needs, making it easy to find relevant data.
Pro Tip:
Filter dataset results using CSV or Excel for easy integration with spreadsheet tools, enabling quick data analysis and content creation.
2. Leveraging No-Code Data Extraction Tools
No-code web scraping tools make it simple to gather data from websites without any programming knowledge. These tools use intuitive visual interfaces to extract valuable information.
Recommended Tools:
- Octoparse: Offers a drag-and-drop interface to collect structured data from any website.
- WebHarvy: Allows users to visually select elements on web pages for scraping, such as product details or reviews.
Use Case:
Use Octoparse to scrape product descriptions, prices, and user reviews from competitor sites to create a comprehensive dataset for dynamic page generation.
3. Utilizing Dataset Marketplaces
Dataset marketplaces are ideal for accessing curated, ready-to-use datasets that require minimal effort to integrate into your strategy.
Popular Marketplaces:
- Data.World: A community-driven platform offering datasets on various topics.
- SEOmatic Datasets: Focused on programmatic SEO, this marketplace offers niche datasets for content optimisation and keyword targeting.
Pro Tip:
Check licensing terms for each dataset to ensure compliance, especially for commercial use.
4. Simplifying API Integration Without Coding
APIs provide access to extensive datasets from platforms like Google Maps, OpenWeather, and more. No-code platforms make integrating APIs easy for non-developers.
Tools for API Integration:
- Zapier: Connects APIs to apps, allowing automated workflows without coding.
- Parabola: Features a visual interface for transforming and integrating data from APIs.
Example:
Use Parabola to integrate location data from an API to create geo-targeted pages for local SEO campaigns.
5. Organizing Data with Spreadsheets
Spreadsheets like Google Sheets and Excel are powerful tools for managing SEO datasets. They provide a familiar interface for organising, analysing, and preparing data.
Key Features:
- Formulas and Filters: Streamline data cleaning and sorting.
- Add-Ons: Tools like Supermetrics allow you to pull data from platforms like Google Analytics or Facebook Ads directly into your spreadsheet.
Use Case:
A Shopify store can use Google Sheets to organise product information (e.g., SKUs, pricing, descriptions) for dynamic SEO page creation.
6. Keyword Clustering with No-Code Tools
Keyword clustering is essential for programmatic SEO as it helps structure content around related search terms. Several tools automate this process for non-developers.
Recommended Tools:
- Keyword Insights: Groups keywords based on user intent and similarity.
- Cluster AI: Simplifies clustering by providing actionable insights for content strategies.
Benefits:
Automated clustering helps you target multiple keywords effectively, improving search visibility without manual effort.
7. Simplified Data Scraping Alternatives
For users seeking straightforward scraping options, no-code tools like browser extensions offer hassle-free solutions.
Tools:
- Import.io: Converts web data into structured formats like CSV or Excel.
- Data Miner: A browser extension that extracts data directly from web pages.
Use Case:
Extract competitor product reviews or price lists using Import.io, enabling you to build datasets for targeted content strategies.
8. Using Third-Party SEO Tools
Platforms like SEMrush and Ahrefs provide pre-analyzed SEO data, such as keyword performance, backlink analysis, and content insights, making them invaluable for programmatic SEO.
Examples:
- SEMrush: Offers detailed keyword research, ranking data, and competitor analysis.
- Ahrefs: Provides insights into backlink profiles, organic traffic, and top-performing pages.
Pro Tip:
Combine data from SEMrush or Ahrefs with spreadsheet tools for deeper analysis. This enables the creation of highly targeted content and SEO strategies.
In Conclusion
Sourcing and managing structured datasets for programmatic SEO is no longer reserved for developers. With tools like no-code data extractors, APIs, and marketplaces, anyone can access and leverage data effectively. Businesses can use these resources to implement data-driven SEO strategies and create scalable solutions to drive organic growth.
At upGrowth, we specialise in empowering businesses with cutting-edge marketing strategies, helping you scale your efforts and achieve measurable results. Explore how we can help your brand grow smarter, faster, and sustainably.
