I recently built a free Delhi Metro route planner:
The first version worked well as an interactive React app. You could pick a source station, pick a destination station, and see the route, estimated fare, stop count, travel time, interchanges, and line-color guidance on the metro map.
But there was a problem.
Most people do not search for "Delhi Metro route planner app". They search for very specific routes:
- Rajiv Chowk to Kashmere Gate metro route
- New Delhi to Airport T3 metro fare
- Hauz Khas to Botanical Garden metro travel time
- Dwarka Sector 21 to Rithala metro route
That meant a single-page app homepage was leaving a lot of useful search demand uncovered.
So I added programmatic SEO pages for every station-to-station combination.
What I Wanted
I wanted both of these URLs to show the same useful route:
https://metro.coolhead.in/routes/rajiv-chowk-to-kashmere-gate/
https://metro.coolhead.in/?from=RCK&to=KG
The first URL is clean and search-friendly.
The second URL is simple for app state and sharing.
Both should hydrate into the same React planner state with:
-
fromauto-filled -
toauto-filled - route searched automatically
- fare/time/stops/interchanges visible
The Data Model
The app already had two useful datasets:
-
labels.json: station IDs and names -
edge.json: graph edges between stations, with line colors and SVG paths
Each station has a compact ID:
{
"id": "RCK",
"text": "Rajiv Chowk"
}
The route page slug comes from the station names:
Rajiv Chowk -> rajiv-chowk
Kashmere Gate -> kashmere-gate
So this:
RCK -> KG
becomes:
/routes/rajiv-chowk-to-kashmere-gate/
Generating Every Route
There are 241 stations in the app data.
For every ordered source/destination pair, excluding same-station routes, the generator creates a static page:
241 * 240 = 57,840 route pages
Each generated route page includes:
- a route-specific
<title> - meta description
- Open Graph metadata
- Twitter metadata
- canonical URL
- JSON-LD
- prerendered route text in the HTML
- a hydration payload for the React app
Connect With Me
If you liked this project, want to collaborate, or need help building a web app, product prototype, internal tool, dashboard, interactive map, or AI-enabled application, feel free to connect with me.
I enjoy working on products that combine clean interfaces, practical user experience, and thoughtful engineering.
You can reach me here:
Website: https://metro.coolhead.in/
Hindi version: https://metro.coolhead.in/?lang=hi
LinkedIn: https://linkedin.com/in/biomathcode
GitHub: https://github.com/biomathcode
Email: sharma.pratik2016@gmail.com
I am open to freelance work, collaborations, product ideas, web development projects, and technical consulting.
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