💬

comments

User comment on a post or content item with author information, content, engagement metrics, and timestamps. Used for social media platforms, blogs, forums, and content discussion systems.

🎯 Request Builder

https://api.mockly.codes/comments?page=1&limit=10&count=10
📡

Configure your request and click Send Request to see the response here.

Endpoints

GET/comments

Get a collection of comments

Alternative: /social/comments
GET/comments/:id

Get a single comment by ID

Alternative: /social/comments/:id
GET/comments/meta

Get resource metadata and schema

Alternative: /social/comments/meta
🔍

How to Use Search

The search feature allows you to filter results by searching for text across all or specific fields. Choose between ?q= or ?search= parameter names.

1. Basic Search

Search across all text fields:

Basic Search
GET https://api.mockly.codes/comments?q=laptop

2. Search Specific Fields

Field-Specific Search
GET https://api.mockly.codes/comments?q=laptop&search_fields=name,description

💡 Pro Tips

  • Search is case-insensitive and performs partial matching
  • Without search_fields, all text fields are searched
  • Combine with pagination to handle large result sets efficiently

Code Examples

JavaScript

Fetch Collection
// Get 10 comments
fetch('https://api.mockly.codes/comments?count=10')
  .then(res => res.json())
  .then(data => console.log(data));

Python

Fetch with Requests
import requests

response = requests.get(
    'https://api.mockly.codes/comments?count=10'
)
data = response.json()

cURL

Command Line
curl "https://api.mockly.codes/comments?count=10"

Bypass Cache

Get Fresh Data
fetch('https://api.mockly.codes/comments?nocache=true')

Schema Properties

idintegerrequired

Unique identifier

Gen:random_int
post_idintegerrequired

Foreign key reference to the post or content item this comment is on

Gen:random_int
user_idintegerrequired

Foreign key reference to the user who wrote the comment

Gen:random_int
bodystringrequired

Text content of the comment

Gen:paragraph
created_atstring

Timestamp when the comment was created

Gen:past_datedate-time
likesinteger

Number of likes or positive reactions the comment has received

Gen:random_int

Query Parameters

countinteger

Number of items to return (default: 10, max: 100)

seedinteger

Seed for reproducible data generation

nocacheboolean

Bypass cache and generate fresh data on every request