Colleges18 Strapi NextJS Application Development
js for server-side rendering (SSR). The platform needed to process, automate, and manage data for over 12,000 colleges, requiring efficient data handling and real-time updates.
In addition, it required faster indexing in Google and the ability to drive substantial traffic. This necessitated creating highly optimized pages with a high value proposition for both search engines and users. Advanced programmatic SEO strategies were crucial for rapid indexing and high visibility. Integrating AI for content processing and generating automated YouTube videos for each college added to the complexity. Despite these challenges, VOCSO created a fast, high-traffic platform that effectively meets user needs.
Project summary
CSS3
HTML5
JavaScript
Responsive
Bootstrap
Python
Node.js
Selenium
OpenAI
AWS S3
Postman
AWS
Strapi
Google Maps
Next.js
Eleven Labs
YouTube API01The challenge
What stood in the way
College discovery in India is fragmented: the data sits in prospectuses, PDFs and dozens of unrelated sites, and it changes every admission cycle. Colleges18 set out to hold more than 12,000 institutions in one place and keep them current — which meant the site had to be cheap to update, fast enough to rank, and able to grow to tens of thousands of pages without a rebuild.
The client required a robust platform capable of handling comprehensive data for over 12,000 colleges, ensuring efficient data management and real-time updates.
They needed a solution that could achieve faster indexing on Google and drive significant organic traffic. This included creating highly optimized pages with strong value propositions for search engines and users. Additionally, the client wanted to integrate AI for enhanced content processing and automate the generation and publication of YouTube videos for each college.
The goal was to develop a high-traffic, responsive platform that provided valuable and accurate information to users while meeting stringent SEO and performance requirements.
02The work
What we shipped
03The build
Key features
04The stack
Tech and integrations
We came up with the solid tech stacks and third party integrations that were apt for the project needs. We selected these based on various key factors such as reliability, scalability, and ease of use. Our choice of tech stack and integrations played a vital role in the success of the website. The following is the list of tech stack and integrations that we used:
Tech stack used for Colleges18 Strapi NextJS Application Development
CSS3
HTML5
JavaScript
Responsive
Bootstrap
Python
Node.js
Selenium
OpenAI
AWS S3
Postman
AWS
Strapi
Google Maps
Next.js
Eleven Labs
YouTube API
CSS3
HTML5
JavaScript
Responsive
Bootstrap
Python
Node.js
Selenium
OpenAI
AWS S3
Postman
AWS
Strapi
Google Maps
Next.js
Eleven Labs
YouTube API
CSS3
HTML5
JavaScript
Responsive
Bootstrap
Python
Node.js
Selenium
OpenAI
AWS S3
Postman
AWS
Strapi
Google Maps
Next.js
Eleven Labs
YouTube API
CSS3
HTML5
JavaScript
Responsive
Bootstrap
Python
Node.js
Selenium
OpenAI
AWS S3
Postman
AWS
Strapi
Google Maps
Next.js
Eleven Labs
YouTube API
05Capabilities
Services in this project
06Questions
Questions about this project
01Why Strapi rather than WordPress for a site this size?
The content model here is structured data — institutions, courses, fees, locations — not pages of prose. Strapi exposes that over an API that Next.js can render and revalidate per route, so 12,000 listings stay fast and editable without a theme layer in the way.
02How does a site with 12,000 listings get indexed?
Server-side rendering with Next.js, a content model that generates a real page per college rather than a filtered view, and sitemaps produced from the same data. Indexing speed was one of the client’s stated requirements.
03How is the data kept current across admission cycles?
Editors work in Strapi and the affected routes revalidate on publish, so an update reaches the live site without a deploy.
