🇮🇳 PlacementIndia Job Scraper — India's Top Job Board Data Extractor

Extract structured job listings from PlacementIndia.com — India's leading job portal connecting 1 Crore+ job seekers with 6 Lakh+ verified employers. Perfect for job aggregators, recruitment platforms, market research, and AI agents powered by Claude, ChatGPT, and MCP protocols.

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🎯 Features

✅ Comprehensive Job Data — Title, company, location, salary, experience, skills, job description
✅ Multi-Location Support — Search jobs across all Indian cities (Delhi, Mumbai, Bangalore, etc.)
✅ Advanced Filtering — By industry, job type, salary range, experience level
✅ No Login Required — Scrape publicly available job listings without authentication
✅ Rate Limit Friendly — Respects server resources with smart delays
✅ MCP Compatible — Seamlessly integrates with Claude Desktop and AI automation workflows
✅ JSON Export — Clean, structured output ready for databases and analytics

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📊 Output Format

Each job listing returns the following structured data:

Field	Type	Description
jobTitle	String	Job position title
companyName	String	Hiring company name
location	String	Job location (city, state)
salary	String	Salary range (if available)
experience	String	Required experience level
skills	Array	Required skills/technologies
jobDescription	String	Full job description
jobUrl	String	Direct link to job posting
postedDate	String	When the job was posted
applicants	String	Number of applicants (if shown)
jobType	String	Full-time, Part-time, Contract, etc.

Example Output

{
  "jobTitle": "Senior Python Developer",
  "companyName": "Tech Solutions India Pvt Ltd",
  "location": "Bangalore, Karnataka",
  "salary": "₹8-12 LPA",
  "experience": "3-5 years",
  "skills": ["Python", "Django", "REST API", "PostgreSQL", "AWS"],
  "jobDescription": "We are looking for an experienced Python developer...",
  "jobUrl": "https://www.placementindia.com/job/python-developer-12345",
  "postedDate": "2 days ago",
  "applicants": "25 applicants",
  "jobType": "Full-time"
}

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🚀 Quick Start

Run on Apify Platform

apify call [your-username]/placementindia-scraper --input '{
  "searchKeyword": "python developer",
  "location": "Bangalore",
  "maxJobs": 50
}'

Input Parameters

Parameter	Type	Required	Description	Default
searchKeyword	String	No	Job title or skill to search	""
location	String	No	City/state to filter jobs	"All India"
maxJobs	Integer	No	Maximum jobs to scrape	100
experienceLevel	String	No	Filter: Fresher, 1-3 years, 3-5 years, 5+ years	"All"
industry	String	No	Filter by industry (IT, Banking, Healthcare, etc.)	"All"
jobType	String	No	Full-time, Part-time, Contract, Internship	"All"

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🤖 AI Integration — Claude, ChatGPT & MCP

Use with Claude Desktop (MCP Protocol)

Add this actor to your Claude Desktop claude_desktop_config.json:

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": ["-y", "@apify/mcp-server"],
      "env": {
        "APIFY_API_TOKEN": "your_apify_token"
      }
    }
  }
}

Example Claude Prompt:

"Find me all Python developer jobs in Mumbai with 3+ years experience from PlacementIndia"

Claude will automatically:

1. Call this Apify Actor with the right parameters
2. Parse the job listings
3. Present you with a clean summary and actionable insights

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Use with ChatGPT (GPT Actions)

Configure this actor as a GPT Action in ChatGPT:

openapi: 3.0.0
info:
  title: PlacementIndia Job Scraper
  version: 1.0.0
servers:
  - url: https://api.apify.com/v2
paths:
  /acts/[your-username]/placementindia-scraper/runs:
    post:
      operationId: scrapeJobs
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                searchKeyword:
                  type: string
                location:
                  type: string
                maxJobs:
                  type: integer

Example ChatGPT Prompt:

"Get the latest data science jobs in Pune with salaries above ₹10 LPA"

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Use with Make.com / Zapier

Make.com:

1. Add "Apify" module
2. Select "Run Actor"
3. Choose placementindia-scraper
4. Map input fields from previous steps
5. Use output in Google Sheets, Airtable, or email notifications

Zapier:

1. Search for "Apify" in Zapier
2. Trigger: Schedule (daily job alerts)
3. Action: Run Apify Actor → placementindia-scraper
4. Filter: Only jobs matching your criteria
5. Send to Slack, email, or CRM

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💡 Use Cases

Use Case	Description
🔍 Job Aggregation	Build a meta job board by combining data from multiple sources
📊 Market Research	Analyze hiring trends, salary ranges, and skill demand in India
🤖 AI Resume Matching	Feed job data to Claude/ChatGPT to match candidates with roles
📧 Job Alerts	Auto-notify users when jobs matching their profile are posted
🏢 Recruitment Analytics	Track competitor hiring, industry growth, and talent gaps
📱 Mobile Apps	Power job search features in mobile applications

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🛠️ Technical Details

• Language: Python 3.11+
• Libraries: requests, beautifulsoup4, apify-client
• Rate Limiting: 1-2 second delay between requests
• Error Handling: Automatic retries on network failures
• Data Validation: Ensures all fields are properly formatted

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📖 FAQ

Q: Do I need a PlacementIndia account?
A: No, this scraper only accesses public job listings.

Q: How often should I run this actor?
A: Daily for fresh job alerts, weekly for market research.

Q: Can I scrape specific companies?
A: Yes, use the searchKeyword field with the company name.

Q: Is this legal?
A: Yes, we only scrape publicly available data. Always review PlacementIndia's Terms of Service.

Q: How do I handle large datasets?
A: Increase maxJobs or run multiple searches in parallel with different filters.

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🔗 Related Actors

• Naukri.com Scraper — India's largest job portal
• LinkedIn Jobs Scraper — Professional networking jobs
• Indeed India Scraper — Global job aggregator

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📞 Support

• Issues: GitHub Issues
• Documentation: Apify Docs
• Community: Apify Discord

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📄 License

Apache 2.0 — Free for commercial and personal use.

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Built with ❤️ for India's job market | Optimized for Claude AI, ChatGPT, and MCP workflows