# iimjobs Jobs Scraper - Management & MBA Jobs India (`technicaldost/iimjobs-jobs-scraper`) Actor

Scrape iimjobs management and MBA job listings by keyword and city: company, experience range, salary in lakhs, skills, applicants, posting date. No personal data. New-jobs-only mode.

- **URL**: https://apify.com/technicaldost/iimjobs-jobs-scraper.md
- **Developed by:** [Technical Dost Solutions](https://apify.com/technicaldost) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 job listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## iimjobs Jobs Scraper - Management & MBA Jobs India

Scrape **iimjobs.com** (India's job board for management, MBA and mid-to-senior professionals) by
keyword and city: role, company, **experience range, salary in rupees** (where the employer shows it),
skills, applicant count, exact posting time and link. Turn on **monitor mode** to get only new jobs on
every scheduled run.

For executive search firms and recruiters, HR-tech products, compensation research, and sales teams
tracking which companies are hiring senior talent.

### What you get

- **Keyword search** across iimjobs, with an optional **city filter** (aliases like Bengaluru and Gurugram
  work) and a **minimum-experience filter**
- **Experience range** (`experienceMinYears`, `experienceMaxYears`) and **applicant count**
- **Salary in rupees** converted from iimjobs' lakh figures (`₹40 - 45 LPA` → `4000000`–`4500000`, INR / year).
  Salaries the employer hides stay hidden, and confidential employers stay unnamed
- **Skills / tags** and an exact `postedAt` timestamp
- **Monitor mode**: pay only for jobs you have not received before
- **No personal data**: recruiter names, photos and designations are never collected
- JSON over plain HTTP, no browser, no login

### Input

| Field | Description |
|---|---|
| `keywords` | Roles or skills, e.g. `marketing`, `finance`, `product manager` |
| `cities` | Optional cities; jobs in any of them are kept |
| `minExperienceYears` | Keep jobs whose range reaches at least this many years |
| `maxItems` | Total jobs to save (default 100) |
| `maxPagesPerKeyword` | Pages per keyword, 20 jobs each (default 10) |
| `onlyNewJobs` / `monitorName` | Monitor mode |

```json
{
  "keywords": ["marketing", "finance"],
  "cities": ["Mumbai"],
  "minExperienceYears": 8,
  "onlyNewJobs": true
}
```

### Output

Same columns as every Actor in this job-data family.

```json
{
  "source": "iimjobs",
  "site": "iimjobs.com",
  "jobId": "1733458",
  "url": "https://www.iimjobs.com/j/infineon-senior-manager-marketing-1733458",
  "title": "Senior Manager - Marketing",
  "company": "Infineon Technologies",
  "location": "Bangalore",
  "locations": ["Bangalore"],
  "country": "IN",
  "experienceMinYears": 10,
  "experienceMaxYears": 14,
  "salaryMin": null,
  "salaryText": null,
  "skills": ["Marketing", "IT Hardware Marketing", "Electronic Product Marketing", "Event Management"],
  "summary": "Infineon -  Senior Manager - Marketing",
  "postedAt": "2026-09-17T08:06:56.108Z",
  "applicants": 49,
  "searchQuery": "marketing",
  "isNew": null,
  "scrapedAt": "2026-09-18T12:10:05.211Z"
}
```

A run summary is saved to the key-value store as `SUMMARY`.

### Pricing

**$1.00 per 1,000 jobs** ($0.001 each), charged only for jobs saved to your dataset. Duplicates, filtered-out
jobs, failed requests and (in monitor mode) jobs you already received are **never charged**. There is no
custom start fee; Apify's standard $0.00005 actor-start event applies once per run.

### FAQ

**Does it need an iimjobs account?** No. It reads the same public job search that powers the iimjobs
website, never logs in and never applies.

**Why no recruiter details?** They are personal data. This Actor collects job and company information only.
Use the data in line with iimjobs' terms and applicable data-protection law.

### Related job-data Actors

- [Internshala Internships & Jobs Scraper](https://apify.com/technicaldost/internshala-internships-jobs-scraper)
- [Workday Jobs Scraper](https://apify.com/technicaldost/workday-jobs-scraper)
- [Remote Jobs Aggregator](https://apify.com/technicaldost/remote-jobs-aggregator)
- [Shine.com Jobs Scraper](https://apify.com/technicaldost/shine-jobs-scraper)
- [Cutshort Jobs Scraper](https://apify.com/technicaldost/cutshort-jobs-scraper)

# Changelog

This Actor's version history is a separate document: https://apify.com/technicaldost/iimjobs-jobs-scraper/changelog.md

# Actor input Schema

## `keywords` (type: `array`):

Roles, functions or skills to search on iimjobs, for example marketing, finance, product manager, investment banking. One search per keyword.

## `cities` (type: `array`):

Optional cities, for example Mumbai, Bangalore, Delhi, Gurgaon. Jobs in any of them are kept. Leave empty for all.

## `minExperienceYears` (type: `integer`):

Keep jobs whose experience range reaches at least this many years. 0 = any.

## `maxItems` (type: `integer`):

Stop after this many jobs in total. You pay only for jobs saved to the dataset.

## `maxPagesPerKeyword` (type: `integer`):

Each page holds 20 jobs.

## `onlyNewJobs` (type: `boolean`):

Return and charge only jobs this Actor has not returned to you before for the same search. Schedule it daily for a fresh-jobs feed.

## `monitorName` (type: `string`):

Optional name for the monitor-mode memory. Defaults to one list per unique search.

## Actor input object example

```json
{
  "keywords": [
    "marketing"
  ],
  "minExperienceYears": 0,
  "maxItems": 20,
  "maxPagesPerKeyword": 10,
  "onlyNewJobs": false
}
```

# Actor output Schema

## `jobs` (type: `string`):

No description

## `summary` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "marketing"
    ],
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("technicaldost/iimjobs-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["marketing"],
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("technicaldost/iimjobs-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "marketing"
  ],
  "maxItems": 20
}' |
apify call technicaldost/iimjobs-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,technicaldost/iimjobs-jobs-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/pZDDWAxrnnKKhZfv3/builds/QaVHL6i62eijF8ll7/openapi.json