CSV → REST API

Your CSV.
A real REST API.

Upload a spreadsheet and get a live, queryable API endpoint. No backend, no database, no infrastructure required.

No backend · No database · No infrastructure

products.csv847 rows · 4 cols

namecategorypricestock

Wireless Headphoneselectronics79.99142

USB-C Hubelectronics34.9989

Laptop Standoffice49.00201

+ 844 more rows

GET/v1/apis/products

200 OK

{

"data": [{ "name": "Wireless Headphones" … }],

"total": 847,

"page": 1,

"limit": 25

}

How it works

Four steps from file to live endpoint.

Upload your CSV

Drop any spreadsheet-style file. Column headers become your API fields.

API is generated

Data is parsed and a queryable REST endpoint is created instantly.

Get your endpoint

A live HTTPS URL — ready to query, no configuration needed.

Query your data

Filter, paginate, and integrate with any client or tool.

Why API Butler?

Building a backend just to expose data is overkill.

The usual way

×Provision and configure a server
×Set up and manage a database
×Write API routes and handlers
×Handle auth, keys, and rate limiting
×Deploy, monitor, and maintain

With API Butler

Upload a CSV
Get a live API endpoint
Done.

No servers. No database. No deployment.

Capabilities

Everything the API needs. Nothing it doesn't.

Input

CSV Upload

Any spreadsheet-style data in CSV format.

Instant Generation

REST endpoint created seconds after upload.

API

Filtering & Pagination

Query params developers already know.

Hosted Endpoints

API Butler runs and serves everything.

Storage

No Database Setup

Data stored and served — nothing to configure.

Always Available

Live as long as your plan is active.

Control

Private APIs

Lock endpoints when data shouldn't be public.

API Keys

Issue and revoke access per use case.

Use cases

Built for real work.

Prototypes

Dev

Expose real data to a frontend without touching a backend.

Internal tools

Ops

Turn spreadsheets into queryable APIs for scripts and dashboards.

Frontend demos

Design

Give demos a real data source instead of hardcoded mocks.

MVPs

Product

Ship an API layer before the real backend exists.

Data endpoints

Integration

Serve structured data to any tool, pipeline, or client.

AI pipelines

AI / ML

Feed structured datasets to LLMs and agent workflows via REST.

API reference

A real REST API.

ProtocolREST over HTTPS

FormatJSON

Filteringfilter[] query params

Paginationpage + limit params

AuthAPI keys (Pro+)

PrivateProtected endpoints (Pro+)

LimitsPer-plan rows + requests

Request

http

      GET /v1/apis/products?filter[category]=electronics&page=1&limit=25

Response

json

      {
  "data": [
    { "id": 1, "name": "Wireless Headphones", "category": "electronics", "price": 79.99 },
    { "id": 2, "name": "USB-C Hub",           "category": "electronics", "price": 34.99 }
  ],
  "total": 48,
  "page": 1,
  "limit": 25
}

Create your first API in seconds.

Start with a CSV. API Butler handles the rest.

Compare Retool CSV API → Zapier integration → Make integration →

Your CSV.A real REST API.