---
license: cc-by-4.0
pretty_name: "WorkIndia Candidate Scraper"
tags: [jobs, web-scraping, apify, lead-generation, scraper]
size_categories:
- n<1K
---

# WorkIndia Candidate Scraper

Scrape candidate profiles from WorkIndia — India's largest blue & grey collar hiring platform with 300K+ active candidates. Extract name, experience, skills, location, education and match score by job title, city and industry.

## What the actor scrapes

# WorkIndia Candidate Scraper — India Blue & Grey Collar Hiring Data Extract candidate profiles from **[WorkIndia](https://workindia.in)** — India's largest blue & grey collar hiring platform, with 300K+ active candidates across delivery, sales, technician, driver, housekeeping, security, teaching, IT and 40+ other categories. This **WorkIndia candidate scraper** lets you search candidates by job title, city and industry and export structured profile data to JSON, CSV or Excel. The Actor calls W

## Who this is for

This sample is useful for anyone working in **jobs, lead generation** who wants a quick look at the shape of the data before running the live actor at scale. Treat it as a static snapshot — counts, prices and timestamps reflect the moment the sample was captured and will drift over time.

## Source

**Live source:** This dataset is a static sample. For fresh, customizable extractions, run the live Apify actor: [logiover/workindia-candidate-scraper](https://apify.com/logiover/workindia-candidate-scraper)

## Fields

- **`candidateId`** — identifier
- **`fullName`** — field captured by the actor
- **`age`** — field captured by the actor
- **`gender`** — field captured by the actor
- **`location`** — location string
- **`city`** — city name
- **`qualification`** — field captured by the actor
- **`englishLevel`** — field captured by the actor
- **`totalExperience`** — field captured by the actor
- **`yearsOfExperience`** — field captured by the actor
- **`previousJobTitle`** — field captured by the actor
- **`previousCompany`** — field captured by the actor
- **`skills`** — field captured by the actor
- **`sectors`** — field captured by the actor
- **`languages`** — field captured by the actor
- **`assets`** — field captured by the actor
- **`isLookingUrgently`** — boolean flag
- **`isMobileVerified`** — boolean flag
- **`isUnlocked`** — boolean flag
- **`mobileNo`** — field captured by the actor
- **`hasResume`** — boolean flag
- **`profilePicUrl`** — URL reference
- **`matchScore`** — field captured by the actor
- **`hotLeadStatus`** — field captured by the actor
- **`lastSeen`** — field captured by the actor
- **`joinDate`** — timestamp
- **`searchJobTitle`** — field captured by the actor
- **`searchCity`** — field captured by the actor
- **`scrapedAt`** — timestamp the row was scraped

## Sample preview

```json
[
  {
    "candidateId": "7a7a3c71a615cc882ba338e260520709f30d1de87e942f9b73fd548c7a741c57",
    "fullName": "Aniket Munemane",
    "age": 21,
    "gender": "male",
    "location": "Mahim East",
    "city": "mumbai",
    "qualification": "12th Pass",
    "englishLevel": "No English",
    "totalExperience": "Fresher",
    "yearsOfExperience": null,
    "previousJobTitle": null,
    "previousCompany": null,
    "skills": [
      "Bike Rider",
      "Helper Activities",
      "Loading",
      "Packing",
      "Picking and Packing"
    ],
    "sectors": [
      "driver",
      "labourer",
      "security_guard"
    ],
    "languages": [
      "Hindi",
      "Marathi"
    ],
    "assets": null,
    "isLookingUrgently": false,
    "isMobileVerified": true,
    "isUnlocked": false,
    "mobileNo": null,
    "hasResume": false,
    "profilePicUrl": null,
    "matchScore": 100,
    "hotLeadStatus": "old_lead",
    "lastSeen": "2026-05-15T07:30:11Z",
    "joinDate": "2026-05-15",
    "searchJobTitle": "Delivery Executive",
    "searchCity": "mumbai",
    "scrapedAt": "2026-05-15T11:05:28.059Z"
  },
  {
    "candidateId": "5a6620d65991a1d8abf88533e80edcc02b9eb9e6d07d520856fbb0efae58df60",
    "fullName": "Ayub Khan Khan",
    "age": 25,
    "gender": "male",
    "location": "Kanjurmarg",
    "city": "mumbai",
    "qualification": "< 10th Pass",
    "englishLevel": "Good English",
    "totalExperience": "Fresher",
    "yearsOfExperience": null,
    "previousJobTitle": null,
    "previousCompany": null,
    "skills": [
      "Uber Driver"
    ],
    "sectors": [
      "driver"
    ],
    "languages": [
      "Hindi"
    ],
    "assets": null,
    "isLookingUrgently": false,
    "isMobileVerified": true,
    "isUnlocked": false,
    "mobileNo": null,
    "hasResume": false,
    "profilePicUrl": null,
    "matchScore": 95,
    "hotLeadStatus": "old_lead",
    "lastSeen": "2026-05-15T07:59:50Z",
    "joinDate": "2026-05-15",
    "searchJobTitle": "Delivery Executive",
    "searchCity": "mumbai",
    "scrapedAt": "2026-05-15T11:05:28.120Z"
  }
]
```

## Snapshot stats

- Row count in this sample: **100**
- Data quality flag at capture time: `GOOD`

## License & Attribution

Released under **Creative Commons Attribution 4.0 (CC BY 4.0)**. If you use this data, please credit the source actor and link back to its Apify Store page: [logiover/workindia-candidate-scraper](https://apify.com/logiover/workindia-candidate-scraper).

The sample is provided as-is for evaluation and research. Source websites retain their own terms of service — downstream users are responsible for complying with them when running the live actor or redistributing scraped content.