Sample Posts JSON

Forty blog-post records with titles, lorem bodies, author references, tags, like counts, and publication timestamps - for feeds, cards, and CMS-style prototypes.

https://jsonconsole.com/api/posts.json

40 records17 KBCORS: *

Download posts.json·Free for any use, no attribution required (CC0). Endpoint is stable - safe to use in tutorials and READMEs.

Preview

[
  {
    "id": 1,
    "title": "Thoughts about GraphQL",
    "body": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem ipsum dolor sit amet, consectetur adipiscing elit. ",
    "authorId": 4,
    "tags": [
      "frontend",
      "api"
    ],
    "likes": 359,
    "publishedAt": "2024-02-16T13:41:00Z"
  },
  {
    "id": 2,
    "title": "Notes on JSON Schema",
    "body": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem ipsum dolor sit amet, consectetur adipiscing elit. ",
    "authorId": 15,
    "tags": [
      "json",
      "backend"
    ],
    "likes": 243,
    "publishedAt": "2025-01-03T21:59:00Z"
  },
  {
    "id": 3,
    "title": "Notes on REST APIs",
    "body": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem ipsum dolor sit amet, consectetur adipiscing elit. ",
    "authorId": 60,
    "tags": [
      "tutorial",
      "api"
    ],
    "likes": 492,
    "publishedAt": "2024-10-05T22:52:00Z"
  }
]

First 3 records shown - the full file has 40 records.

Fields

Field	Type	Notes
id / title	number / string	Tech-flavored titles
body	string	Lorem ipsum paragraphs
authorId	number	Foreign key into /api/users.json
tags	string[]	2 tags per post
likes	number	0-500
publishedAt	string (ISO 8601)	Publication timestamp

Fetch it in code

JavaScript

const res = await fetch(
  "https://jsonconsole.com/api/posts.json"
);
const data = await res.json();

Python

import requests

data = requests.get(
    "https://jsonconsole.com/api/posts.json"
).json()

What this dataset is good for

Feed/timeline UIs with realistic text lengths
Tag filtering and popularity sorting
Author joins (posts.authorId → users.id)

More sample data

Sample Users JSON Sample Products JSON Sample Orders JSON (Nested)Sample Employees JSON

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