WorkIndia Jobs Search Scraper: Bulk Extract Job Listings with Ease

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What Is WorkIndia.in?

WorkIndia.in is India's leading online employment marketplace, connecting millions of job seekers with employers across diverse sectors. The platform hosts listings ranging from entry-level positions to senior management roles, spanning IT, sales, manufacturing, healthcare, and more. Manually collecting job data from search results pages is labor-intensive — the WorkIndia Jobs Search Scraper automates this, enabling you to harvest bulk listings with structured output in minutes.

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Overview

The WorkIndia Jobs Search Scraper targets the job listing pages of WorkIndia.in, extracting detailed information about each vacancy. Unlike job detail scrapers, this tool works directly on search result pages, making it ideal for:

• Job aggregators building multi-source job databases
• Recruitment agencies sourcing bulk candidate opportunities
• Market researchers analyzing Indian employment trends
• HR platforms integrating third-party job feeds
• Data analysts benchmarking salary and skills demand

Key features include high-volume scraping (up to 200+ items per URL), graceful error handling, and comprehensive field extraction covering salary, qualifications, skills, locations, and company information.

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Input Format

The scraper accepts a JSON configuration for controlling which pages to scrape and how many results to collect:

{
  "urls": [
    "https://www.workindia.in/jobs/?pg=2"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Input Parameters

Parameter	Type	Description	Example
urls	Array	List of WorkIndia job search page URLs to scrape. Each URL typically points to a search results page (paginated or filtered).	["https://www.workindia.in/jobs/?pg=2"]
ignore_url_failures	Boolean	If true, the scraper continues running even if some URLs fail. If false, a single failed URL halts the entire run.	true
max_items_per_url	Integer	Maximum number of job listings to extract per URL. Recommended range: 20–200. Higher values yield more results but increase execution time.	200

Tips:

• Use paginated URLs (?pg=1, ?pg=2, etc.) to scrape multiple pages systematically.
• Filter URLs by location, job category, or keyword if needed (e.g., ?pg=1&category=IT).
• Set max_items_per_url to 200 for maximum data collection per page.

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Output Format

Example output row:

{
  "max_salary": 20000,
  "branch_location_pincode": null,
  "facts": {
    "knows_technician_advanced": 2,
    "knows_good_english": 1
  },
  "degree": 2,
  "interview_address": null,
  "job_experience": "gt_2_years",
  "profile_salary_structure": "Rs. 12000 - Rs. 20000",
  "profile_english_score": 3,
  "profile_requirement_checklist": "More Than 2 Years Experience Compulsory.  | AC-HVAC",
  "profile_qualification_required": "Tenth Pass",
  "job_timings": "10:00 AM - 6:30 PM | Monday to Saturday",
  "created_at": "2026-07-10T09:51:03Z",
  "branch_super_location_name": "",
  "views": 28,
  "skills": [
    "ac-hvac"
  ],
  "contact_detail": {
    "contact_type": "phone_no",
    "contact": 9571683757
  },
  "employment_type": "FULL_TIME",
  "genders": "Both male and female can apply",
  "id": 7870339,
  "profile_short_description": "Speak Good English | More Than 2 Years Experience Compulsory | Site Survey, Hvac Autocad Drafting. | None",
  "search_string": "hvac draftsman,tenth pass,okhla,speak good english | more than 2 years experience compulsory | site survey, hvac autocad drafting. | none,site survey, hvac autocad drafting.,magneto cleantech pvt. ltd.,technician,good english,fluent english,10th pass,male,female,< 10th pass,experience,less_than_tenth,tenth,technician,",
  "interview_details": "11:00 AM - 4:00 PM | Monday to Saturday",
  "profile_industry_display_name": "Technician",
  "position": "experience",
  "original_created_at": "2026-07-10T09:51:03Z",
  "profile_job_title": "Hvac Draftsman",
  "min_salary": 12000,
  "branch_company_name": "Magneto Cleantech Pvt. Ltd.",
  "expiry": "2026-08-21",
  "branch_location_city_name": "delhi",
  "link": null,
  "is_expired": false,
  "job_published_on_platform": 7,
  "no_of_openings": 2,
  "branch_address": "T-4 Okhla ph-2 New Delhi",
  "branch_location_name": "Okhla",
  "experience": "experience",
  "profile_job_description": "Site Survey, Hvac Autocad Drafting. More Than 2 Years Experience Compulsory.  | AC-HVAC",
  "profile_industry_constant_name": "technician",
  "server_timestamp": 1783677065,
  "profile_html_description": "<p>Site Survey, Hvac Autocad Drafting.</p><p><strong>Salary: Rs. 12000 - Rs. 20000</strong></p><p>Qualification: Tenth Pass</p><p>Location: Okhla</p><p>Work Hours: 10:00 AM - 6:30 PM | Monday to Saturday</p><p>Job Category: Technician</p><p>Good English</p><p>More Than 2 Years Experience Compulsory.  | AC-HVAC</p>",
  "disable_job_detail_click": 0,
  "related_jobs": [],
  "seo_qa_content": null,
  "from_url": "https://www.workindia.in/jobs/?pg=2"
}

Each job listing in the output contains up to 40+ fields covering salary, qualifications, skills, company details, and posting metadata:

Salary & Compensation

Field	Meaning
Min Salary	Minimum annual or monthly salary (in INR)
Max Salary	Maximum annual or monthly salary (in INR)
Profile Salary Structure	Breakdown of salary components (base, allowance, bonus)

Job Basics

Field	Meaning
Position	Job position or role title
Profile Job Title	Standardized job title used internally
Employment Type	Contract type (e.g., Full-Time, Part-Time, Contract, Internship)
No Of Openings	Number of open positions for this role
Profile Job Description	Detailed text description of the job
Profile HTML Description	HTML-formatted job description
Job Published On Platform	Date/time when the job was published on WorkIndia

Location & Address

Field	Meaning
Branch Location Name	Job location name (e.g., "Bangalore")
Branch Location City Name	City where the position is based
Branch Location Pincode	Postal code of the job location
Branch Super Location Name	Broader region (e.g., "South India")
Branch Address	Full office address
Interview Address	Location where interviews will be conducted
Interview Details	Additional interview logistics or notes

Qualifications & Requirements

Field	Meaning
Degree	Educational qualification required (e.g., B.Tech, MBA, 12th Pass)
Profile Qualification Required	List of required academic credentials
Experience	Years of experience required
Job Experience	Detailed experience requirements
Skills	Required technical and soft skills (comma-separated or array)
Genders	Gender preferences or equal opportunity note
Profile English Score	Minimum English proficiency level if specified
Profile Requirement Checklist	Structured list of candidate requirements

Company & Industry

Field	Meaning
Branch Company Name	Name of the hiring company
Profile Industry Display Name	Industry sector (e.g., "Information Technology")
Profile Industry Constant Name	Standardized industry code/identifier
Contact Detail	Recruiter or HR contact information

Metadata & Status

Field	Meaning
ID	Unique WorkIndia job identifier
Link	Direct URL to the full job posting
Created At	Timestamp when the listing was created
Original Created At	Original creation date if reposted
Server Timestamp	Server timestamp of the data extraction
Expiry	Date when the listing expires or closes
Is Expired	Boolean flag indicating if the listing is expired
Views	Number of times the listing has been viewed

Advanced Fields

Field	Meaning
Job Timings	Work hours or shift details (e.g., "9 AM – 6 PM", "Night Shift")
Facts	Key highlights or benefits of the role
Profile Short Description	Brief 1-2 line summary of the job
Search String	Keywords used in the internal search
Related Jobs	Similar or related job listings
Disable Job Detail Click	Flag if detailed view is disabled
SEO QA Content	Internal SEO metadata

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How to Use

1. Identify search pages — Navigate to WorkIndia.in's jobs section and note the URLs of the search results pages you want to scrape (e.g., different pages, filtered by city or category).

2. Prepare URLs — Paste the job search page URLs into the urls array. You can include multiple pages by adding separate URLs with different page numbers or filters.

3. Set parameters — Configure max_items_per_url (typically 50–200 depending on data needs) and ensure ignore_url_failures is true for robustness.

4. Run the scraper — Execute the scraper and monitor the run log for any warnings or errors.

5. Export results — Download the output as JSON, CSV, or Excel for analysis, import, or integration into your system.

Best practices:

• Start with a small sample URL to test output structure before scaling to multiple pages.
• Use ignore_url_failures: true when scraping many pages to avoid interruptions from temporary network issues.
• Inspect the Is Expired field to filter out closed listings if needed.

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Use Cases & Business Value

• Job board aggregation: Combine WorkIndia listings with other sources to create a comprehensive job database
• Salary benchmarking: Analyze Min Salary and Max Salary fields to understand market rates by role, location, and industry
• Skill demand analysis: Extract and analyze the Skills field to identify trending technical and soft skills
• Recruitment automation: Feed cleaned data into your ATS or applicant tracking system
• Career research: Study employment patterns, industry distribution, and job market health in India

By automating data collection, you eliminate manual work and unlock data-driven insights at scale — whether for business intelligence, competitive analysis, or talent acquisition.

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Conclusion

The WorkIndia Jobs Search Scraper is a powerful tool for anyone needing to extract and analyze job listings from India's largest employment platform. With support for 40+ fields, high-volume scraping, and flexible URL configuration, it transforms search results into structured, ready-to-use data in minutes. Start harvesting today and turn WorkIndia into a data asset for your recruitment, research, or product needs.