industries — page 2 — example-data.com

industries

Page 2 of 2.

Overview

Industrial Machinery

Equipment and machinery used in manufacturing and industrial processes.
Aerospace & Defense

Commercial aircraft, military hardware, and space systems.
Construction

Building and infrastructure projects for residential and commercial use.
Logistics & Supply Chain

Freight, warehousing, and distribution services across global supply chains.
Residential Real Estate

Development, leasing, and sale of homes, apartments, and condominiums.
Commercial Real Estate

Office, retail, and mixed-use property development and management.
Mining & Metals

Extraction and processing of metals, minerals, and raw materials.
Chemicals

Production of specialty and commodity chemicals used across industries.
Agriculture

Crop and livestock production, farming inputs, and agribusiness operations.
Media & Entertainment

Film, television, streaming, music, and digital content production.
Social Media

Platforms enabling user-generated content sharing and online communities.
Advertising

Digital and traditional advertising agencies and marketing services.
Education

K-12 schools, universities, and online learning platforms and content.
Legal Services

Law firms and legal tech providers serving corporate and individual clients.
Management Consulting

Advisory firms helping organizations improve strategy, operations, and performance.
Accounting & Audit

Financial statement audit, tax advisory, and accounting services.

Request

curl example

curl -sS \
  "https://example-data.com/api/v1/industries?limit=25"

JavaScript example

const res = await fetch(
  "https://example-data.com/api/v1/industries?limit=25"
);
const { data, meta } = await res.json();

TypeScript example

// Download once: mkdir -p types && curl -o types/industries.d.ts https://example-data.com/types/industries.d.ts
import type { Industry, ListEnvelope } from "./types/industries";

const res = await fetch(
  "https://example-data.com/api/v1/industries?limit=25"
);
const { data, meta } = (await res.json()) as ListEnvelope<Industry>;

Python example

import requests

res = requests.get(
    "https://example-data.com/api/v1/industries",
    params={"limit": 25},
)
data = res.json()

Response

{
  "data": [
    {
      "id": 25,
      "name": "Industrial Machinery",
      "slug": "industrial-machinery",
      "sector": "Industrials",
      "description": "Equipment and machinery used in manufacturing and industrial processes."
    },
    {
      "id": 26,
      "name": "Aerospace & Defense",
      "slug": "aerospace-defense",
      "sector": "Industrials",
      "description": "Commercial aircraft, military hardware, and space systems."
    },
    {
      "id": 27,
      "name": "Construction",
      "slug": "construction",
      "sector": "Industrials",
      "description": "Building and infrastructure projects for residential and commercial use."
    }
  ],
  "meta": {
    "page": 2,
    "limit": 24,
    "total": 40,
    "totalPages": 2
  },
  "links": {
    "self": "/api/v1/industries?page=2&limit=24",
    "first": "/api/v1/industries?page=1&limit=24",
    "last": "/api/v1/industries?page=2&limit=24",
    "next": null,
    "prev": "/api/v1/industries?page=1&limit=24"
  }
}