👥

mentors

Mentor profile with specialization areas, experience, mentee count, ratings, hourly rate, and availability. Used for mentorship platforms, career development programs, and professional networking.

🎯 Request Builder

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

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

Endpoints

GET/mentors

Get a collection of mentors

Alternative: /people/mentors
GET/mentors/:id

Get a single mentor by ID

Alternative: /people/mentors/:id
GET/mentors/meta

Get resource metadata and schema

Alternative: /people/mentors/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/mentors?q=laptop

2. Search Specific Fields

Field-Specific Search
GET https://api.mockly.codes/mentors?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 mentors
fetch('https://api.mockly.codes/mentors?count=10')
  .then(res => res.json())
  .then(data => console.log(data));

Python

Fetch with Requests
import requests

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

cURL

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

Bypass Cache

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

Schema Properties

idinteger

Unique identifier for the mentor

Gen:random_int
namestring

Full name of the mentor

Gen:name
emailstring

Mentor's email address

Gen:emailemail
biostring

Mentor biography and professional background

Gen:paragraph
photostring

URL to the mentor's photo

Gen:avataruri
specializationarray

Array of areas the mentor specializes in (e.g., Career Development, Entrepreneurship, Technology)

Gen:tags
experience_yearsinteger

Number of years of professional experience

Gen:random_int
mentees_countinteger

Current number of mentees being guided by this mentor

Gen:random_int
ratingnumber

Average mentee rating, typically on a scale of 1-5

Gen:float
hourly_ratenumber

Hourly rate for mentorship sessions

Gen:price
availabilitystring

Availability status (e.g., available, busy, limited)

Gen:word

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