# 🇮🇳 India Jobs Scraper — Listings, Salaries & Skills (`nexgendata/foundit-jobs-scraper`) Actor

Live India job listings with salary bands, experience, skills and apply URLs — search by role + city, or watch for new postings. Sourced from Foundit (Monster India).

- **URL**: https://apify.com/nexgendata/foundit-jobs-scraper.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** Jobs
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## India Jobs Scraper — Listings, Salaries & Skills 🇮🇳

Live **India job listings** with salary bands, required experience, skill tags, company, location, and a direct apply URL — search by role and city, or run it on a schedule to catch **new postings** as they appear. Clean JSON out, no login, built for recruiters, job boards, market-comp analysts, and AI agents. Data sourced from **Foundit (Monster India)**.

### 📊 What you get

One record per job listing:

- `title`, `company_name`, `location`
- `min_experience_years`, `max_experience_years`
- `min_salary`, `max_salary`, `currency` (when the employer discloses them)
- `skills` (array), `functions`, `industries`, `employment_types`
- `is_urgently_hiring`, `freshness`, `posted_at`
- `job_url` (direct apply link), `source`, `job_id`, `scraped_at`

**~20 listings per $1.** A typical 25-result search costs about **$1.25.**

### 💵 Pricing

Pay-per-result, no subscription:

| Event | Price |
|---|---|
| Actor start | $0.005 (per GB RAM, min 1) |
| **Job listing** | **$0.05 each** |
| Watch-check (per scheduled watch run) | $0.05 |

**Worked example:** a search returning 25 listings = 1 start ($0.005) + 25 × $0.05 = **≈ $1.26**. A daily watch run that finds 4 new postings = $0.05 watch-check + 4 × $0.05 = **$0.25**.

### ⏰ Watch mode — new-posting alerts

Turn on **`watchMode`** and schedule it. The first run seeds a baseline and emits nothing; every later run emits **only new postings** since the last run (keyed on the stable Foundit job id). Feed it into Slack, a sheet, or an agent for a standing "new roles for my search" pipeline.

```json
{ "keyword": "data engineer", "location": "pune", "watchMode": true, "watchLabel": "de-pune" }
```

### 🤖 Use with AI agents

Returns clean JSON an agent can call directly. Example: *"Find remote senior Python roles in India posted this week and summarize the salary ranges."* Works with MCP tool-calling and agentic (x402) payment flows — no API key required.

#### API

```bash
curl -X POST "https://api.apify.com/v2/acts/foundit-jobs-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keyword":"data analyst","location":"mumbai","maxResults":50}'
```

#### CLI

```bash
apify call foundit-jobs-scraper --input '{"keyword":"devops","location":"bangalore","maxResults":100}'
```

### 🔗 Related NexGenData actors

- **linkedin-jobs-scraper** — the same job-listing schema for LinkedIn (global sibling).
- **nse-bse-announcements** — India-listed company filings & announcements.
- **mca-company-registry** — India company master data (CIN, capital, status).
- **india-startup-funding-tracker** — India startup funding rounds.
- **india-trademark-search** — Indian trademark records.
- **gem-tenders-india** — Indian government tenders.

### ❓ FAQ

**Where does the data come from?** Foundit's (Monster India) public job-search service. Buyers search "India jobs"; Foundit is the underlying source.

**How fresh is it?** Real-time — new postings appear as Foundit publishes them; each row carries `posted_at` and `freshness`.

**Does a blocked source bill me?** No. If Foundit is unreachable the run fails loud and charges nothing — you never pay for an empty "success".

**Can I filter by experience?** Yes — set `minExperienceYears` to drop junior roles, and `keyword` + `location` to scope the search.

***

Data sourced from public Foundit (Monster India) job listings. This actor is not affiliated with or endorsed by Foundit or Monster. For informational and recruitment-research use.

# Actor input Schema

## `keyword` (type: `string`):

Role or keyword to search (e.g. 'python developer', 'data analyst', 'sales manager').

## `location` (type: `string`):

City or region in India (e.g. 'bangalore', 'mumbai', 'remote'). Leave empty for all-India.

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

Drop listings whose max experience is below this many years.

## `maxResults` (type: `integer`):

Maximum job listings to return (1-500).

## `watchMode` (type: `boolean`):

First run seeds a baseline and emits nothing; later runs emit only NEW postings since the last run (keyed on Foundit job id). Ideal on a schedule.

## `watchLabel` (type: `string`):

Names the watch baseline so multiple saved tasks keep independent state.

## Actor input object example

```json
{
  "keyword": "python developer",
  "location": "bangalore",
  "maxResults": 25,
  "watchMode": false,
  "watchLabel": "default"
}
```

# 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 = {
    "keyword": "python developer",
    "location": "bangalore",
    "maxResults": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/foundit-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 = {
    "keyword": "python developer",
    "location": "bangalore",
    "maxResults": 25,
}

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

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

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

```

## CLI example

```bash
echo '{
  "keyword": "python developer",
  "location": "bangalore",
  "maxResults": 25
}' |
apify call nexgendata/foundit-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgendata/foundit-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ZbcLD2rok1MrgqvQo/builds/ytqsWZOJ4OA3ZLV1U/openapi.json