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API Testing Tool (Postman-lite)
| Difficulty | Intermediate |
| Team Size | Solo |
| Time | ~25-30 hours |
| Demo-ready by | Step 6 |
| Prerequisites | HTML, CSS, JavaScript, HTTP fundamentals |
| Built by | Postman, Insomnia, Hoppscotch, Thunder Client |
Skills you'll earn: HTTP methods, request/response handling, environment variables, code generation, collection management
Start with a fetch call. End with a full-featured API workbench.
(Assumes basic HTML/CSS/JS and fetch API knowledge)
Step 1: Send a GET request and show the response (~30 min)
One input field for a URL. One button. Click it, fetch() the URL, display the response body in a <pre> tag.
- One HTML file
fetch(url).then(r => r.text()).then(text => pre.textContent = text)
You now have: The simplest API client.
Step 2: Show response details (~1 hour)
You got a response but don't know if it was 200 or 500.
- Display status code, status text
- Display response headers
- Show response time (measure before and after fetch)
You now have: Useful response inspection.
Step 3: Choose the HTTP method (~1 hour)
You can only GET. APIs need POST, PUT, DELETE, PATCH.
- Add a dropdown for method selection
- For methods with a body (POST, PUT, PATCH), add a textarea for the request body
- Set
Content-Type: application/jsonwhen sending JSON
You now have: Full HTTP method support.
Step 4: Custom headers (~1 hour)
Some APIs need Authorization, X-API-Key, or custom headers.
- Add a key-value input for headers
- "Add header" button to add more rows
- Include all headers in the fetch call
You now have: Complete request control.
Step 5: Pretty-print responses (~1-2 hours)
Raw JSON is hard to read.
- Detect JSON responses and format them with
JSON.stringify(data, null, 2) - Add syntax highlighting (highlight.js or Prism)
- Tab between "Pretty", "Raw", and "Headers" views
You now have: A readable response viewer.
Step 6: Save requests to collections (~2-3 hours)
You keep retyping the same URL.
- Save requests to localStorage: name, method, URL, headers, body
- Show a sidebar with saved requests
- Click to load a saved request into the editor
- Organize into folders/collections
You now have: Reusable request collections.
Step 7: Environment variables (~2 hours)
Your API URL is different in dev vs production.
- Define environments:
{ "base_url": "http://localhost:3000" },{ "base_url": "https://api.example.com" } - Use
in URLs and headers - Replace variables before sending
- Switch environments from a dropdown
You now have: Environment management.
Step 8: Authentication helpers (~2-3 hours)
Manually copying tokens is tedious.
- Add auth presets: Bearer token, Basic auth, API key
- For OAuth2: build a flow that gets and refreshes tokens
- Auto-attach auth headers to requests
Step 9: Response history (~2 hours)
- Log every request/response with timestamp
- Browse history, re-run old requests
- Compare responses over time
Step 10: Request chaining (~3 hours)
Your login endpoint returns a token. You want to use it in the next request automatically.
- Extract values from responses using JSONPath or dot notation
- Set variables from response:
token = response.body.data.token - Reference in subsequent requests:
Authorization: Bearer
Step 11: Code generation (~2 hours)
- Generate
curl,fetch,axios,requests(Python) code from the current request - Copy to clipboard
Step 12: Import/export (~2-3 hours)
- Export collections as JSON
- Import from Postman (parse their collection format)
- Share collections with teammates via file
Step 13: Make it look good (~3 hours)
- Split pane: request on the left, response on the right
- Tabbed interface for multiple open requests
- Keyboard shortcuts (Ctrl+Enter to send)
Step 14: Deploy (~2-3 hours)
- Containerize and deploy to the cluster
- Add user accounts so collections sync across devices
- Store collections in a database
Useful Resources
Where to go from here
- WebSocket testing
- GraphQL support
- Mock servers
- Automated test assertions (expect status 200, expect body contains "success")
- CI integration (run collections from CLI)