WorkIndia Jobs Scraper

What does WorkIndia Jobs Scraper do?

WorkIndia Jobs Scraper collects structured job listings from WorkIndia.in, one of India's job search platforms. Enter a WorkIndia listing URL, job keyword, city, or a combination of these inputs, and receive a clean Apify dataset with job titles, companies, locations, salary information, experience requirements, qualifications, industries, employment types, and source metadata.

The Actor is useful for recruitment research, job aggregation, hiring intelligence, lead generation, salary analysis, and recurring monitoring of Indian job opportunities. You can run it from Apify Console, export the results in common formats, schedule repeat runs, or connect the dataset to another workflow.

Why use WorkIndia Jobs Scraper?

• Targeted job collection - Search WorkIndia listings by keyword and city, or reuse a public category, city, or search URL.
• Detailed hiring data - Collect the information recruiters and analysts need, including salary text, experience, qualifications, industry, employment type, openings, and published or expiry dates when available.
• Single-job extraction - Provide a public WorkIndia job detail URL when you need one enriched record instead of a search result collection.
• Controlled collection size - Set results_wanted and max_pages to balance coverage and run time.
• Clean dataset records - Empty and null values are removed so the saved records are easier to analyze.
• Automation-ready output - Use Apify datasets, schedules, webhooks, integrations, and API access for repeatable recruitment workflows.

What data can you extract from WorkIndia.in?

Each dataset item represents one WorkIndia job listing. The Actor returns the fields available in the listing and its detail record.

Field	Type	Description
job_id	Integer	Unique WorkIndia job identifier.
profile_job_title	String	Job title shown in the listing.
branch_company_name	String	Hiring company or branch name.
branch_location_city_name	String	City associated with the job.
branch_location_name	String	Area or locality when published.
profile_salary_structure	String	Salary amount or range as shown by WorkIndia.
job_experience	String	Experience requirement, such as fresher or a specified range.
profile_qualification_required	String	Qualification or education requirement.
profile_industry_display_name	String	Industry or job category.
employment_type	String	Employment type, such as full time.
created_at	String	Published timestamp when available.
expiry	String	Listing expiry date when available.
source_url	String	WorkIndia URL supplied for the run.
collected_at	String	ISO timestamp for when the record was collected.

Additional WorkIndia fields may be returned when the source publishes them, including openings, interview timings, contact information, job descriptions, and other listing metadata.

How to scrape WorkIndia jobs

1. Open WorkIndia Jobs Scraper on Apify.
2. Paste a WorkIndia listing URL or job detail URL, or enter a keyword and city.
3. Set the maximum number of results and pages to collect.
4. Keep includeDetails enabled when you want enriched fields for every listing.
5. Start the run and review the dataset preview.
6. Download the results or connect them to your recruitment, analytics, or alerting workflow.

The Actor understands common WorkIndia URL formats, including the main jobs feed, city pages, industry pages, work-from-home pages, search URLs with filters, and individual job detail pages.

Input Parameters

All parameters are optional. The default input searches WorkIndia jobs using the prefilled URL, keyword, city, and result limits.

Parameter	Type	Required	Default	Description
url	String	No	https://www.workindia.in/jobs/	Public WorkIndia listing URL or individual job detail URL.
keyword	String	No	delivery	Job title, skill, or search phrase used to narrow results.
city	String	No	delhi	City filter, such as Delhi, Mumbai, Pune, or Bengaluru.
results_wanted	Integer	No	20	Maximum number of job records to save. Minimum: 1.
max_pages	Integer	No	10	Maximum number of listing pages to process. Minimum: 1.
includeDetails	Boolean	No	true	Enrich each listing with available detail fields. A detail URL always returns its individual job record.
proxyConfiguration	Object	No	{ "useApifyProxy": false }	Optional Apify Proxy configuration for runs that need proxy routing.

Output Data

The dataset contains one JSON object per collected job. Fields that are not available in the original WorkIndia record are omitted from that item.

Field	Type	Description
job_id	Integer	WorkIndia job identifier.
profile_job_title	String	Job title.
branch_company_name	String	Company name.
branch_location_city_name	String	Job city.
branch_location_name	String	Area or locality.
profile_salary_structure	String	Salary text or range.
job_experience	String	Required experience.
profile_qualification_required	String	Required qualification.
profile_industry_display_name	String	Industry or category.
employment_type	String	Employment type.
created_at	String	Published timestamp.
expiry	String	Expiry date.
source_url	String	Input URL used for the run.
collected_at	String	Collection timestamp in ISO format.

Usage Examples

Basic WorkIndia Jobs Search

Collect the first 20 jobs from the default WorkIndia jobs feed.

{
  "url": "https://www.workindia.in/jobs/",
  "results_wanted": 20,
  "max_pages": 5
}

Keyword and City Search

Collect delivery jobs in Delhi while keeping the result set focused.

{
  "keyword": "delivery",
  "city": "delhi",
  "results_wanted": 50,
  "max_pages": 10
}

Category URL With Detail Enrichment

Reuse a public WorkIndia category URL and collect enriched listing records.

{
  "url": "https://www.workindia.in/delivery-jobs-in-delhi/",
  "results_wanted": 30,
  "max_pages": 5,
  "includeDetails": true
}

Single Job Detail URL

Collect one specific WorkIndia job record from its public detail page.

{
  "url": "https://www.workindia.in/jobs/delivery_boy-rohini-delhi-9738578/",
  "includeDetails": true
}

Sample Output

The following example shows one dataset item. Optional fields can be absent when WorkIndia does not publish them.

{
  "job_id": 9738578,
  "profile_job_title": "Delivery Boy",
  "branch_company_name": "Blinkit",
  "branch_location_city_name": "delhi",
  "branch_location_name": "Rohini",
  "profile_salary_structure": "Rs. 40000 - Rs. 75000",
  "job_experience": "fresher",
  "profile_qualification_required": "Tenth Pass",
  "profile_industry_display_name": "Delivery",
  "employment_type": "FULL_TIME",
  "created_at": "2026-04-17T06:58:00Z",
  "expiry": "2026-08-13",
  "source_url": "https://www.workindia.in/delivery-jobs-in-delhi/",
  "collected_at": "2026-04-17T09:30:00.000Z"
}

Tips for Best Results

• Use a specific job title, skill, or category URL when you need focused results.
• Start with results_wanted between 20 and 50 to validate the search before scaling up.
• Increase max_pages when the requested result count is larger than the first page of listings.
• Use a public individual job URL when you need one detailed record.
• Keep includeDetails enabled when salary, qualification, experience, and other detail fields matter.
• Use the same keyword and city for scheduled runs when you want to compare hiring demand over time.
• Review the dataset preview because some employers do not publish every field.
• Enable proxy settings for larger or recurring runs when your execution environment requires proxy routing.

Integrations

• Google Sheets - Review, filter, and share job datasets with a recruiting team.
• Airtable - Build a searchable hiring database with company, role, location, and salary fields.
• Make or Zapier - Send new job records to alerts, CRM systems, or internal workflows.
• Webhooks - Trigger downstream actions after a run finishes.
• Apify API - Start runs and retrieve dataset items programmatically.

Export Formats

• JSON - Use for APIs, applications, and data pipelines.
• CSV - Use for spreadsheets and business intelligence tools.
• Excel - Use for reporting and analyst workflows.
• XML - Use for systems that require XML data exchange.

Frequently Asked Questions

Can I search WorkIndia jobs by keyword and city?

Yes. Set keyword and city to collect jobs matching a role and location, or provide a WorkIndia URL with its filters already applied.

Can I use a WorkIndia category or city URL?

Yes. The url input accepts public WorkIndia listing URLs, including category, city, work-from-home, and search pages.

Can I scrape one specific job URL?

Yes. Provide a public WorkIndia job detail URL and the Actor will save the individual job record.

How does pagination work?

The Actor continues through listing pages until it reaches results_wanted, reaches max_pages, or no more results are available.

Why are some fields missing from a record?

Some employers do not publish salary, qualification, experience, openings, or expiry information. The Actor keeps the available source data and removes empty values.

Can I export WorkIndia data to CSV or Excel?

Yes. Apify datasets can be downloaded as CSV, Excel, JSON, XML, and other supported formats.

Can I schedule recurring WorkIndia job searches?

Yes. Create an Apify schedule to run the Actor hourly, daily, weekly, or at a custom interval for job monitoring.

Is it legal to collect WorkIndia data?

Public data collection may be subject to applicable laws, privacy requirements, and WorkIndia's terms. You are responsible for using the Actor lawfully and respecting the source website's rules and limits.

Related Actors

• Foundit Jobs Scraper - Collect structured job listings from Foundit.in, formerly Monster India.
• AiJobs.net Scraper - Collect AI and technology job listings with salary, skills, and location data.
• APEC Jobs Scraper - Collect professional and executive job listings from APEC.fr.

Support

For issues, feature requests, or questions about a target URL, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is intended for legitimate collection of publicly available job information. Users are responsible for complying with WorkIndia terms, applicable laws, privacy requirements, and any restrictions that apply to their intended use of the data.