{
  "searchQuery": "data scientist",
  "location": "bangalore",
  "maxResults": 100
}

{
  "apify": {
    "actorId": "your-actor-id",
    "input": {
      "searchQuery": "machine learning engineer",
      "location": "bangalore",
      "maxResults": 50
    }
  }
}

openapi: 3.0.0
paths:
  /v2/acts/{actorId}/runs:
    post:
      summary: Scrape Naukri.com jobs
      parameters:
        - name: actorId
          in: path
          required: true
          schema:
            type: string
      requestBody:
        content:
          application/json:
            schema:
              properties:
                searchQuery:
                  type: string
                location:
                  type: string
                maxResults:
                  type: integer

from apify_client import ApifyClient

client = ApifyClient('your-apify-token')

# Start the actor
run = client.actor('your-actor-id').call(run_input={
    'searchQuery': 'python developer',
    'location': 'mumbai',
    'maxResults': 100
})

# Fetch results
dataset_items = client.dataset(run['defaultDatasetId']).list_items().items

for job in dataset_items:
    print(f"{job['title']} at {job['companyName']}")
    print(f"Location: {job['location']}")
    print(f"Salary: {job['salary']}")
    print(f"Skills: {', '.join(job['skills'] or [])}")
    print(f"URL: {job['jobUrl']}\n")

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'your-apify-token' });

// Start the actor
const run = await client.actor('your-actor-id').call({
    searchQuery: 'react developer',
    location: 'bangalore',
    maxResults: 50
});

// Fetch results
const { items } = await client.dataset(run.defaultDatasetId).listItems();

items.forEach(job => {
    console.log(`${job.title} at ${job.companyName}`);
    console.log(`Location: ${job.location}`);
    console.log(`Skills: ${job.skills?.join(', ')}`);
});

# Clone the repository
git clone <your-repo-url>
cd naukri-job-scraper-mcp

# Install dependencies
pip install -r requirements.txt

# Set environment variables
export APIFY_TOKEN=your_apify_token

# Run locally
python -m src

# Install Apify CLI
npm install -g apify-cli

# Login to Apify
apify login

# Run the actor locally
apify run

┌─────────────────┐
│  Apify Platform │
└────────┬────────┘
         │
    ┌────▼─────┐
    │   Actor  │
    └────┬─────┘
         │
    ┌────▼────────┐
    │  Camoufox   │ ◄──── Residential Proxy
    │  Browser    │
    └────┬────────┘
         │
    ┌────▼──────────┐
    │  Naukri.com   │
    │  (Next.js SPA)│
    └────┬──────────┘
         │
    ┌────▼─────────┐
    │  BeautifulSoup│
    │  Parser       │
    └────┬─────────┘
         │
    ┌────▼─────────┐
    │ Apify Dataset│
    └──────────────┘

# Add custom filters
experience_filter = actor_input.get('experienceRange', '')
salary_filter = actor_input.get('salaryMin', '')

# Add new field extraction
posted_date = _clean_text(job_card.select_one('.posted-date').get_text())
job_data['postedDate'] = posted_date