Apna Scraper — India Blue-Collar & Grey-Collar Job Data

Scrape job listings from Apna.co, India's blue- and grey-collar job platform. Search by keyword and/or city, or feed in specific job URLs, and get clean, structured India job data — title, company, city, salary, experience, education, skills and public employer contact preferences.

Main Use Cases

• Blue-collar & grey-collar recruitment — source drivers, security guards, telecallers, delivery and warehouse staff into an ATS or hiring pipeline.
• India job-market research — measure demand for a role across cities, salary ranges, and which employers are hiring.
• Salary & hiring-trend analysis — track advertised monthly salaries (INR) and posting volumes over time.
• Job-board / aggregator building — assemble a large structured feed of Indian job listings.
• Recruitment lead generation — identify employers hiring at volume, with their public callback / WhatsApp preferences.

How It Works

The actor talks directly to the public JSON backends that power Apna.co instead of rendering pages, so it is fast and cheap. For every job it can additionally call the job-detail endpoint to enrich the record with the full description, skills, education, shift, openings and geo-coordinates.

It sends requests through a genuine Chrome TLS + HTTP/2 handshake (via impit) so it can read the site's public job data without a browser.

Find Apna.co Jobs By Keyword And City

Enter one or more keywords (e.g. driver, nurse, telecaller) and, optionally, an Indian city. Used alone, a city browses all jobs in that city; combined with keywords, results are filtered by city. Every run returns structured records ready for downstream analysis.

Extract India Job Listings Without An Official API

Apna.co has no public API for exporting its listings. This actor reads the same publicly available job data the site's own front end uses and returns it as JSON, so you can build a job dataset, ATS pipeline or salary dataset without an API key.

Input

Field	Type	Required	Default	Notes
searchQuery	string	no	"driver"	Role keyword(s). Separate multiple keywords with commas or new lines.
location	string	no	""	Optional Indian city (e.g. Mumbai, Bengaluru, Delhi).
startUrls	array	no	[]	Optional. Scrape these exact Apna job URLs (https://apna.co/job/...) or numeric job IDs instead of a search.
maxItems	integer	no	100	Maximum number of job rows saved to the dataset.
maxPagesPerQuery	integer	no	3	Result pages requested per keyword (up to 100 jobs per page).
includeJobDetails	boolean	no	true	Calls the job-detail endpoint for every job to add skills, full description, education, shift and more.
proxy	object	no	{ "useApifyProxy": false }	Optional. Off by default; if enabled, use residential proxies (Apna's WAF blocks datacenter IPs).

Output

One dataset item per job. Default dataset view: overview (title, company, city, salary, experience, posted date, URL); a second details view shows department, employment type, shift, education, openings, skills and description.

Field group	Fields	Notes
Identity	jobId, title	Apna job id and role title
Company	companyName, companyId, companyExternalId, companyLogoUrl	Hiring company info
Location	city, state, area, locationName, address, latitude, longitude	Where the job is
Category	category, subCategory, department	Job categorisation
Compensation	minSalary, maxSalary, salaryType, salaryIncentive, earningPotential	INR / month
Experience	minExperience, maxExperience, experienceInYears, experienceLevel	Experience requirement
Requirements	education, englishLevel, gender, shift, employmentType	Requirements & work type
Work setup	isWorkFromHome, isPartTime, isFlexibleJob, numberOfOpenings	Setup flags
Content	skillsRequired, jobHighlights, description, richDescription	Skills & description (plain + HTML)
Dates	postedDate, lastUpdated, expiryDate	Posting dates
Contact prefs	employerPreferences	{ call, whatsapp } — public opt-in flags, not personal contact data
Links	isExternalJob, externalJobUrl, publicUrl, scrapedAt	Source and timestamp

Example Input

{
  "searchQuery": "driver, security guard",
  "location": "Mumbai",
  "maxItems": 200,
  "maxPagesPerQuery": 3,
  "includeJobDetails": true
}

Example Output

{
  "jobId": "38642614",
  "title": "Driver",
  "companyName": "M/s DS Enterprises",
  "city": "Noida",
  "state": "Delhi-NCR",
  "minSalary": 18000,
  "maxSalary": 25000,
  "salaryType": 1,
  "minExperience": 12,
  "maxExperience": 60,
  "experienceInYears": "1-5 years",
  "education": "10th Pass",
  "shift": "Day",
  "employmentType": "Full Time",
  "numberOfOpenings": 5,
  "skillsRequired": ["Driving", "Route Knowledge"],
  "description": "Looking for an experienced driver for local deliveries...",
  "postedDate": "2026-10-10T00:00:00.000Z",
  "employerPreferences": { "call": true, "whatsapp": true },
  "publicUrl": "https://apna.co/job/38642614",
  "scrapedAt": "2026-10-15T09:00:00.000Z"
}

Integrations & Automation

• Apify API — run and read the dataset programmatically.
• Webhooks — push new jobs into an ATS, Google Sheet or database on run completion.
• Zapier / Make — connect new job rows to recruitment tools or a job board.

Recommended schedule: run daily for recruitment pipelines and job boards that need fresh listings; weekly for salary and hiring-trend analysis. For high-volume roles (driver, security guard, delivery), hourly runs keep a live feed current.

Related Actors

• Naukri.com Job Scraper — India jobs & salary data, the closest companion source to Apna.
• Foundit Scraper — India jobs & salary data (formerly Monster India).
• Cutshort Jobs Scraper — India tech jobs & salaries.
• Indeed Job Scraper — global jobs, salary and company data.
• Jooble Scraper — jobs, salary and apply URLs across many countries.

FAQ

Why use this actor instead of the official API?

Apna.co does not expose a public API for exporting job listings. This actor reads the same publicly available job data the site's front end uses and returns it as structured JSON, with no API key required.

What are alternatives to this actor or to Apna data?

For India job-market data, Naukri.com and Foundit are the closest alternative sources, and this actor's own Naukri and Foundit scrapers cover them. Apna is strongest for blue- and grey-collar roles (drivers, guards, telecallers, delivery), which the other boards under-represent.

Does it return recruiter phone numbers or emails?

No. Apna.co does not expose recruiter phone numbers or emails publicly. The actor returns the employer's public contact preference flags (employerPreferences.call / .whatsapp) — not personal contact data.

What salary data is available?

Advertised monthly INR salary fields: minSalary, maxSalary, salaryIncentive and earningPotential, plus the displayed experienceInYears.

Do I need a proxy?

No, it runs on Apify's own egress IPs by default. If you enable a proxy, use residential (Apna's WAF, Link11, returns HTTP 492 to the Apify datacenter ranges), optionally with an India location.

How do I export the data to CSV or Excel?

Every run writes to an Apify dataset; use the console's Export button or the dataset API endpoint to download CSV, Excel or JSON.

For AI Agents & LLM Apps

Purpose: return Apna.co (India) job listings as structured records — title, company, location, salary (INR/month), experience, skills, education, description and public employer contact preferences.

Minimal working input:

{ "searchQuery": "driver" }

Variant inputs:

{ "searchQuery": "telecaller, delivery boy", "location": "Delhi", "maxItems": 200, "includeJobDetails": true }

{ "startUrls": [{ "url": "https://apna.co/job/38642614" }] }

Output fields (dataset): jobId, title, companyName, companyId, companyExternalId, companyLogoUrl, city, state, area, locationName, address, latitude, longitude, category, subCategory, department, minSalary, maxSalary, salaryType, salaryIncentive, earningPotential, minExperience, maxExperience, experienceInYears, experienceLevel, education, englishLevel, gender, shift, employmentType, isWorkFromHome, isPartTime, isFlexibleJob, numberOfOpenings, skillsRequired, jobHighlights, description, richDescription, postedDate, lastUpdated, expiryDate, employerPreferences, isExternalJob, externalJobUrl, publicUrl, scrapedAt.

Behaviors an agent should know:

• If startUrls is provided, the actor scrapes those exact jobs and searchQuery/location are ignored.
• location used without keywords browses all jobs in that city; combined with keywords, results are filtered by city client-side (Apna ignores the location filter server-side for keyword searches).
• includeJobDetails: true (the default) adds skills, full description, education, shift, openings and geo; setting it false gives a faster, lighter run with search-only fields.
• employerPreferences is { call, whatsapp } boolean opt-in flags — never phone numbers or emails.
• Billing model: pay-per-event — one apify-default-dataset-item charge per job saved (from ~$0.00075/result, i.e. $0.75 per 1,000) plus a job-detail event ($0.0009/result) for each job enriched when includeJobDetails is on, plus one apify-actor-start charge per run.

Legal & Compliance Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Apna or Apna.co. It reads only publicly available job listing data; it does not bypass login, private endpoints, or CAPTCHAs, and it does not expose recruiter phone numbers or emails. Users are responsible for their own compliance with Apna.co's Terms of Service and applicable data-protection law, and for using the data lawfully.

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