Static JSON APIs: Free API Hosting with GitHub in 2026
A comprehensive guide to building, hosting, and monetizing free public JSON APIs using GitHub repositories covering data management, versioning, rate limits,...
Building and hosting public APIs traditionally requires servers, databases, and ongoing infrastructure costs. But for many use cases, a static JSON file hosted on GitHub can serve as a fully functional, version-controlled, and free public API. This approach powers hundreds of open data projects and is perfect for datasets that update infrequently.
This guide covers everything you need to know about building, hosting, and distributing static JSON APIs using GitHub repositories.
What Is a Static JSON API?
A static JSON API is simply a JSON file hosted on a public web server that serves structured data. Instead of a dynamic server processing requests and querying databases, the data is pre-computed and served as-is.
The URL pattern looks like:
https://raw.githubusercontent.com/username/repo/main/data/file.json
Anyone can fetch this URL and receive the JSON data. No authentication, no server costs, no rate limiting (beyond GitHub’s standard limits).
Why Use Static JSON APIs?
Zero Infrastructure Cost
GitHub repositories are free for public projects. Raw GitHub URLs serve files at no cost. You pay nothing for hosting, bandwidth, or compute.
Version Control
Every change to your API data is tracked in Git. You can see who changed what, when, and why. You can roll back to any previous version. This is invaluable for data APIs.
Automatic Caching
GitHub’s CDN caches raw files aggressively. This means fast response times globally and reduced load on GitHub’s infrastructure.
Transparency
Public repositories allow anyone to inspect your data, suggest improvements via pull requests, and fork the dataset for their own use.
Simplicity
No servers to manage, no databases to maintain, no APIs to deploy. Just edit a JSON file and commit.
When Static JSON APIs Work Well
Static JSON APIs are ideal for:
- Reference data: IFSC codes, pincodes, country lists, currency codes
- Infrequently updated data: Broker fees, card benefits, holiday calendars
- Aggregated datasets: Stock market indices, mutual fund NAV snapshots
- Configuration data: Feature flags, app settings, environment configs
- Documentation: API specs, changelogs, version manifests
They are NOT suitable for:
- Real-time data (stock prices, weather, sports scores)
- User-specific data (profiles, preferences, history)
- High-frequency updates (sub-second data)
- Authentication-required data
- Large datasets (over 100 MB)
Building Your Static JSON API
Step 1: Design Your Data Structure
Start with a clear schema. Every entry should have consistent fields:
{
"name": "Zerodha",
"slug": "zerodha",
"type": "discount",
"founded": 2010,
"headquarters": "Bengaluru",
"sebiRegNo": "INZ000031633",
"website": "https://zerodha.com",
"fees": {
"accountOpening": 0,
"amc": 0,
"deliveryBrokerage": 0,
"intradayBrokerage": 20
}
}
Step 2: Create the Repository
- Create a new public GitHub repository
- Add a README explaining the API
- Create a
data/directory for your JSON files - Add a LICENSE file (MIT or similar for open data)
Step 3: Structure Your Files
For small datasets, a single file works:
data/brokers.json
For larger datasets, consider splitting:
data/brokers/zerodha.json
data/brokers/groww.json
data/brokers/angel-one.json
Or chunk by alphabet:
data/stocks-a-f.json
data/stocks-g-m.json
data/stocks-n-s.json
Step 4: Add Validation
Use JSON Schema to validate your data:
{
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "array",
"items": {
"type": "object",
"required": ["name", "slug", "type"],
"properties": {
"name": { "type": "string" },
"slug": { "type": "string" },
"type": { "type": "string", "enum": ["discount", "full-service"] }
}
}
}
Step 5: Automate Updates
Use GitHub Actions to update your data on a schedule:
name: Update API Data
on:
schedule:
- cron: "0 6 * * *"
workflow_dispatch:
jobs:
update:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Fetch and update data
run: python scripts/update_data.py
- name: Commit changes
run: |
git add data/*.json
git commit -m "Update data" || echo "No changes"
git push
Accessing Your Static API
Raw GitHub URL
The simplest method:
https://raw.githubusercontent.com/username/repo/main/data/file.json
Rate limit: 60 requests per hour for unauthenticated requests.
jsDelivr CDN
jsDelivr provides a faster, cached CDN for GitHub files:
https://cdn.jsdelivr.net/gh/username/repo@main/data/file.json
Benefits:
- No rate limits
- Faster global distribution
- Automatic caching
- Version-specific URLs
GitHub Pages
If you enable GitHub Pages on your repository, files are served through the Pages CDN:
https://username.github.io/repo/data/file.json
Rate Limits and Considerations
GitHub Raw URL Limits
- Unauthenticated: 60 requests per hour per IP
- Authenticated: 5,000 requests per hour per user
For higher traffic, use jsDelivr or GitHub Pages.
jsDelivr Limits
jsDelivr has no published rate limits and is designed for high-traffic CDN usage. It is the recommended option for production APIs.
File Size Limits
- GitHub raw: Files up to 100 MB
- Recommended: Keep individual JSON files under 10 MB for fast loading
Monetizing Static APIs via RapidAPI
You can list your static API on RapidAPI to monetize it:
- Create a RapidAPI account
- Create a new API
- Point the API endpoints to your jsDelivr or GitHub Pages URLs
- Set pricing tiers (free tier with limits, paid tiers for higher usage)
- Add documentation and usage examples
RapidAPI handles authentication, rate limiting, analytics, and billing while your actual data remains hosted for free on GitHub.
Best Practices
1. Include Metadata
Always include metadata about your dataset:
{
"metadata": {
"lastUpdated": "2026-05-19",
"source": "Official broker websites",
"version": "1.2.0",
"recordCount": 15
},
"data": [...]
}
2. Use Consistent Naming
- Use lowercase slugs with hyphens
- Include unique identifiers
- Avoid special characters
3. Document Everything
Create a comprehensive README with:
- API endpoint URLs
- JSON schema for each endpoint
- Usage examples in multiple languages
- Rate limit information
- Changelog
4. Add CORS Headers
If serving through GitHub Pages, you can configure CORS headers to allow cross-origin requests from any domain.
5. Version Your Data
Use semantic versioning for your dataset:
- Major version: Breaking schema changes
- Minor version: New fields or data additions
- Patch version: Data corrections or updates
6. Provide Multiple Formats
Consider offering your data in multiple formats:
- JSON (primary)
- CSV (for spreadsheet users)
- YAML (for configuration users)
Example: Building a Broker Comparison API
Here is a complete example of a broker comparison API:
{
"metadata": {
"name": "Indian Stock Brokers API",
"version": "1.0.0",
"lastUpdated": "2026-05-19",
"license": "MIT"
},
"brokers": [
{
"name": "Zerodha",
"slug": "zerodha",
"type": "discount",
"founded": 2010,
"headquarters": "Bengaluru",
"sebiRegNo": "INZ000031633",
"website": "https://zerodha.com",
"fees": {
"accountOpening": 0,
"amc": 0,
"deliveryBrokerage": 0,
"intradayBrokerage": 20,
"dpCharges": 15.93
},
"platforms": ["web", "mobile", "desktop"],
"features": ["Kite", "Console", "Coin", "Sentinel"],
"rating": 4.5
}
]
}
Access it at:
https://cdn.jsdelivr.net/gh/username/repo@main/data/brokers.json
Use Cases for Static JSON APIs
Developer Tools
- IFSC code lookup
- Pincode finder
- Holiday calendars
- Currency exchange rates (daily snapshots)
Finance
- Mutual fund NAV history
- Broker fee comparisons
- Credit card benefit databases
- P2P lending platform data
Health
- Medicine price databases
- Hospital directories
- Generic medicine alternatives
Education
- College databases
- Exam schedules
- Scholarship information
The Oriz.in API Platform
Oriz.in hosts multiple static JSON APIs covering Indian financial data, broker comparisons, medicine prices, and more. All APIs are free, open-source, and hosted on GitHub with jsDelivr CDN distribution.
Visit the Oriz.in API documentation page for endpoint URLs, JSON schemas, and usage examples in JavaScript, Python, and cURL.
Final Thoughts
Static JSON APIs hosted on GitHub are a powerful, zero-cost way to distribute structured data. They are perfect for reference data, infrequently updated datasets, and open data projects. With proper design, validation, and documentation, a static JSON API can serve thousands of developers and applications without any infrastructure costs.
The key is understanding when static APIs are appropriate and designing your data structure for clarity, consistency, and ease of use.
Disclaimer: This article is for informational purposes only. GitHub’s terms of service and rate limits may change. Always refer to official GitHub documentation for current information.