WorkIndia Candidates URLs Scraper

Introduction

The WorkIndia Candidates URLs Scraper is designed to efficiently extract candidate information from WorkIndia.com based on specified filters such as cities, industries, and job titles. This tool provides valuable insights into potential candidates by scraping detailed profiles, making it an essential asset for recruitment agencies, HR departments, and market researchers.

Features

• Customizable Filters: Tailor searches with city, industry, and job title filters.
• Sorting Options: Sort candidates by newest, location relevance, or activity level.
• Scalable Data Extraction: Extract up to 10 candidate profiles per run.
• High-Quality Data: Reliable and structured data output for easy analysis.
• User-Friendly Interface: Simple setup with intuitive input parameters.

Input Parameters

Parameter	Type	Required	Description	Example
cities	array	Yes	City names to filter candidates by.	["delhi"]
industries	array	Yes	Industry names to filter candidates by.	["accounts"]
jobTitles	array	Yes	Job titles to filter candidates by.	["Accountant"]
sortNew	boolean	No	Sort candidates by newest first.	true
sortLocation	boolean	No	Sort candidates by location relevance.	false
sortActive	boolean	No	Sort candidates by most active.	false
maxItems	integer	No	Maximum number of candidates to scrape.	10

Example Usage

Input JSON

{
  "cities": ["delhi"],
  "industries": ["accounts"],
  "jobTitles": ["Accountant"],
  "sortNew": true,
  "maxItems": 5
}

Output JSON

[
  {
    "name": "Deepak",
    "gender": "male",
    "age": 21,
    "matchPercentage": 100,
    "location": "Sector 62 A - Noida",
    "city": "",
    "joined": "2026-07-12T15:52:07+05:30",
    "interestedIn": [
      "accounts",
      "back_office",
      "business_development",
      "telecalling"
    ],
    "english": "Good English",
    "education": {
      "qualification": "graduate",
      "course": "BCA - Computers",
      "detailed": "Bca in Computers from Iimt Engineering College"
    },
    "experience": {
      "level": "Fresher",
      "years": null,
      "previousJob": "",
      "companyName": "",
      "duration": "fresher",
      "sector": "accounts",
      "details": []
    },
    "skills": [
      "Basic Excel",
      "Computer",
      "Email",
      "Good Communication Skills",
      "MS Power Point"
    ],
    "isNewCandidate": false,
    "isActiveCandidate": true,
    "id": "1956015977c512ba301ef40a962edeea4f25edd90d4511e88fd8aeb97862399a",
    "mobileNo": "",
    "salary": {
      "current": "-"
    },
    "languages": [
      "English"
    ],
    "documents": [],
    "hasResume": false,
    "profileImage": "",
    "status": {
      "isWorking": false,
      "lookingUrgently": false,
      "leadType": "matched"
    },
    "assessmentSkills": [
      "english",
      "good_english"
    ],
    "lastSeen": "2026-07-12T10:30:21Z",
    "scrapedAt": "2026-07-12T11:05:14.864Z"
  }
]

Use Cases

• Market Research and Analysis: Gain insights into candidate demographics and skills.
• Competitive Intelligence: Understand competitor recruitment strategies.
• Price Monitoring: Analyze salary trends in various industries.
• Content Aggregation: Compile data for reports or presentations.
• Academic Research: Support studies on employment trends.
• Business Automation: Streamline HR processes with automated candidate sourcing.

Installation and Usage

1. Search for "WorkIndia Candidates URLs Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is a JSON array of candidate objects, each containing fields such as name, gender, age, matchPercentage, location, and more. Key fields include:

• name: Candidate's name.
• gender: Gender of the candidate.
• age: Age of the candidate.
• matchPercentage: Matching percentage based on filters.
• location: Current location of the candidate.
• education: Educational background details.
• experience: Work experience details.
• skills: List of skills possessed by the candidate.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: Contact Us

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