# Naukri Scraper - India & Gulf Jobs | $0.99/1K Jobs (`santamaria-automations/naukri-scraper`) Actor
Scrape job listings from Naukri.com (India) and NaukriGulf.com (Middle East). 45+ fields per job including title, company, AmbitionBox rating, follower count, tags, about-text, founded year, size, headquarters, website, benefits & similar companies. No login. $0.99 per 1,000 jobs.
- **URL**: https://apify.com/santamaria-automations/naukri-scraper.md
- **Developed by:** [Ale](https://apify.com/santamaria-automations) (community)
- **Categories:** Jobs, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.99 / 1,000 job listings
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Naukri Scraper
Scrape job listings from **Naukri.com** (India) and **NaukriGulf.com** (Middle East). Pass in search keywords or paste any naukri.com / naukrigulf.com search URL — no login, no API key.
Pay-per-result: **$0.99 per 1,000 jobs**.
### What you get
For every job the scraper returns 45+ fields, including:
**Job-level**
- Title, company, company logo
- Location (cleaned to the city name), localities
- Experience range (min/max years + `experience_text`)
- Salary range + `currency` (ISO 4217: INR / USD / AED / …) + `is_salary_hidden` flag
- Skills, employment type, walk-in flag, expired flag
- Full job description (plain text + raw HTML), short SERP snippet
- Posted date (raw string + Unix timestamp), openings count
- Direct job URL, apply URL
**Company-level** (turned on by default — set `includeCompanyDetails: false` to skip)
- AmbitionBox employer rating + review count + AmbitionBox URL
- Total Naukri followers
- Company tags (Private / Public / Foreign MNC / Forbes Global 2000 / …)
- About-the-company text
- Company type, founded year, employee-count band, headquarters, official website
- Employee-reported benefits with how many employees reported each one
- Up to 3 similar companies (name, group ID, rating, reviews, logo)
Each unique company is fetched **once per run** (deduplicated by Naukri group ID), so a 1,000-job run covering 200 companies makes 200 extra HTTP calls — not 1,000.
### Input
```json
{
"searchQueries": ["Software Engineer", "Data Analyst"],
"location": "Bangalore",
"platform": "naukri",
"maxResultsPerQuery": 40,
"includeCompanyDetails": true
}
````
#### Input fields
| Field | Type | Default | Notes |
|---|---|---|---|
| `searchQueries` | array | — | Keywords to search. Each runs as its own search; results are deduplicated across queries. |
| `searchUrls` | array | — | Paste any naukri.com or naukrigulf.com search URL. Filters from the URL (keyword, location, page) are parsed automatically. |
| `location` | string | empty | City or region. Combined with each `searchQuery`. Ignored for `searchUrls` (they carry their own location). |
| `platform` | string | `naukri` | `naukri` for India, `naukrigulf` for the Middle East, or `both`. |
| `maxResultsPerQuery` | integer | 50 | Maximum jobs per query. Naukri stops returning new IDs after roughly the first 20 unique results per query; the scraper detects this automatically. |
| `maxResults` | integer | 0 | Global cap across all queries. `0` = no cap. |
| `includeCompanyDetails` | boolean | `true` | Fetch the rich company-overview fields. Set to `false` for the fastest, cheapest runs (job-level fields only). |
### Examples
**Search by keyword + city**
```json
{ "searchQueries": ["Python Developer"], "location": "Pune" }
```
**Multiple queries, both platforms**
```json
{
"searchQueries": ["DevOps Engineer", "Site Reliability"],
"platform": "both",
"maxResultsPerQuery": 20
}
```
**Paste a filtered search URL from naukri.com**
```json
{
"searchUrls": [
"https://www.naukri.com/data-engineer-jobs-in-hyderabad",
"https://www.naukrigulf.com/software-engineer-jobs-in-dubai"
]
}
```
**Fast lane (no company enrichment)**
```json
{
"searchQueries": ["Frontend Engineer"],
"location": "Bengaluru",
"includeCompanyDetails": false
}
```
### Output
One item per job. Truncated example:
```json
{
"id": "100626500857",
"title": "Software Engineer",
"company": "Texas Instruments",
"company_id": "1779582",
"company_group_id": "3448628",
"company_logo": "https://img.naukimg.com/logo_images/groups/v1/3448628.gif",
"location": "Bengaluru",
"localities": [],
"min_experience_years": 0,
"max_experience_years": 3,
"experience_text": "0-3 Yrs",
"min_salary": null,
"max_salary": null,
"salary_text": null,
"currency": "INR",
"is_salary_hidden": true,
"description": "Minimum Requirements: . XX years of relative experience. Preferred Qualifications: . Degree in Electrical Engineering, Computer Engineering …",
"description_html": "Minimum Requirements: . XX years of relative experience.
Preferred Qualifications: …",
"description_snippet": "Minimum Requirements: . XX years of relative experience. …",
"skills": ["Computer science", "Software design", "Coding", "Machine learning"],
"employment_type": "Full Time, Permanent",
"openings_count": 1,
"posted_at": "2026-06-10 09:46:47.0",
"posted_at_unix": 1780815407,
"freshness_text": null,
"job_url": "https://www.naukri.com/job-listings-software-engineer-texas-instruments-100626500857",
"company_url": "https://www.naukri.com/texas-instruments-jobs-careers-18530",
"apply_url": "https://edbz.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/...",
"is_walk_in": false,
"is_expired": false,
"work_from_home_type": null,
"ambition_box_rating": "3.7",
"ambition_box_reviews": 225,
"ambition_box_url": "https://www.ambitionbox.com/reviews/texas-instruments-reviews",
"company_followers_count": 30118,
"company_tags": ["Electronic Components / Semiconductors", "Forbes Global 2000", "Foreign MNC", "B2B", "TOP"],
"company_about": "We are visionaries. We are differentiators. We are TIers. As a global semiconductor company operating in 35 countries, Texas Instruments …",
"company_type": "Private",
"company_founded_year": "1951",
"company_size": "10001-50000",
"company_headquarters": null,
"company_website": "http://www.ti.com",
"company_benefits": [
{ "name": "Free meal", "employee_reports": 113 },
{ "name": "Health insurance", "employee_reports": 91 },
{ "name": "Cafeteria", "employee_reports": 100 }
],
"company_similar_companies": [
{ "name": "Infineon", "group_id": "14372", "rating": "3.6", "reviews_count": 286, "logo_url": "https://img.naukimg.com/logo_images/groups/v1/14372.gif", "overview_url": "infineon-overview-14372" }
],
"source_platform": "naukri",
"search_query": "Software Engineer",
"search_location": "Bangalore",
"serp_page": 1,
"scraped_at": "2026-06-10T09:46:48Z"
}
```
### Pricing
Pay per job. No subscription, no minimum spend.
| Event | Price |
|---|---|
| Actor start | $0.001 |
| Each job | $0.00099 |
| Volume | Total |
|---|---|
| 100 jobs | $0.10 |
| 1,000 jobs | $0.99 |
| 10,000 jobs | $9.90 |
### Notes and limits
- **Salary is usually hidden**: Naukri lets recruiters keep salary off the public SERP, and most do. `is_salary_hidden: true` reflects this. The full salary range (e.g. "15-25 Lacs P.A.") is on each job's detail page but is gated behind Naukri's bot-management challenge that this scraper does not solve. If salary is critical for your workflow, prefer postings where `is_salary_hidden: false`.
- **About 20 unique results per query**: Naukri's public search endpoint caps unique results around 20 per keyword. Use multiple `searchQueries` (synonyms, role variants) or paste several filtered `searchUrls` to surface more jobs.
- **AmbitionBox data**: Surfaced from each company's Naukri overview page. Available when Naukri has linked the company to an AmbitionBox profile (usually true for companies with public reviews).
- **Currency codes**: Naukri's raw labels ("Rupees", "U.S. Dollar", "Dirham") are normalised to ISO 4217 codes (INR / USD / AED / …) so the output is portable across both platforms.
- **`min_salary` / `max_salary` units**: The value is in the unit of the `currency` field. For INR jobs this is lakhs (15 = ₹15,00,000). For other currencies it's natural units. The pre-formatted display string is in `salary_text`.
- **Description**: Returned both as cleaned plain text (`description`) and the raw HTML Naukri ships (`description_html`).
- **Skills**: Parsed from Naukri's keyword tagging. Some short postings have no skills listed.
### Use with AI agents
Connect via Apify's MCP endpoint:
```
https://mcp.apify.com?tools=santamaria-automations/naukri-scraper
```
Example prompt:
> Use naukri-scraper to find Senior Backend Engineer jobs in Pune. Return the top 20 with the company name, AmbitionBox rating, follower count, and headquarters.
### Issues, feature requests
- [Issues tab on the actor page](https://apify.com/santamaria-automations/naukri-scraper/issues)
- [Other actors by santamaria-automations](https://apify.com/santamaria-automations)
# Actor input Schema
## `searchQueries` (type: `array`):
One or more job keywords (e.g. 'Software Engineer', 'Data Analyst'). Each runs as a separate search. Results are deduplicated across queries.
## `searchUrls` (type: `array`):
Paste one or more Naukri.com or NaukriGulf.com search URLs. All filters from the URL are preserved automatically.
## `location` (type: `string`):
City or region to search in (e.g. 'Bangalore', 'Mumbai', 'Dubai'). Leave empty to search across all locations.
## `platform` (type: `string`):
Which platform to scrape. 'naukri' = Naukri.com (India), 'naukrigulf' = NaukriGulf.com (Middle East), 'both' = scrape both platforms.
## `maxResultsPerQuery` (type: `integer`):
Maximum number of job listings to return per search keyword or URL. Default: 50.
## `maxResults` (type: `integer`):
Global cap on total jobs returned across all queries. 0 = no limit.
## `includeCompanyDetails` (type: `boolean`):
Fetch rich company data (rating, reviews, followers, tags, about-text, founding year, size, website, benefits, similar companies) from each unique company's overview page. Each company is fetched once per run (deduplicated). Turn off for faster, cheaper runs.
## Actor input object example
```json
{
"searchQueries": [
"Software Engineer"
],
"platform": "naukri",
"maxResultsPerQuery": 50,
"maxResults": 0,
"includeCompanyDetails": true
}
```
# Actor output Schema
## `defaultDataset` (type: `string`):
Dataset containing scraped job listings with title, company, location, experience, salary, skills, description, source URL, platform, and scrape timestamp.
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchQueries": [
"Software Engineer"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("santamaria-automations/naukri-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "searchQueries": ["Software Engineer"] }
# Run the Actor and wait for it to finish
run = client.actor("santamaria-automations/naukri-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchQueries": [
"Software Engineer"
]
}' |
apify call santamaria-automations/naukri-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=santamaria-automations/naukri-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Naukri Scraper - India & Gulf Jobs | $0.99/1K Jobs",
"description": "Scrape job listings from Naukri.com (India) and NaukriGulf.com (Middle East). 45+ fields per job including title, company, AmbitionBox rating, follower count, tags, about-text, founded year, size, headquarters, website, benefits & similar companies. No login. $0.99 per 1,000 jobs.",
"version": "2.4",
"x-build-id": "sbrWuf0aXHPWurLla"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/santamaria-automations~naukri-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-santamaria-automations-naukri-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/santamaria-automations~naukri-scraper/runs": {
"post": {
"operationId": "runs-sync-santamaria-automations-naukri-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/santamaria-automations~naukri-scraper/run-sync": {
"post": {
"operationId": "run-sync-santamaria-automations-naukri-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"searchQueries": {
"title": "Search Keywords",
"type": "array",
"description": "One or more job keywords (e.g. 'Software Engineer', 'Data Analyst'). Each runs as a separate search. Results are deduplicated across queries.",
"items": {
"type": "string"
}
},
"searchUrls": {
"title": "Search URLs",
"type": "array",
"description": "Paste one or more Naukri.com or NaukriGulf.com search URLs. All filters from the URL are preserved automatically.",
"items": {
"type": "string"
}
},
"location": {
"title": "Location",
"type": "string",
"description": "City or region to search in (e.g. 'Bangalore', 'Mumbai', 'Dubai'). Leave empty to search across all locations."
},
"platform": {
"title": "Platform",
"enum": [
"naukri",
"naukrigulf",
"both"
],
"type": "string",
"description": "Which platform to scrape. 'naukri' = Naukri.com (India), 'naukrigulf' = NaukriGulf.com (Middle East), 'both' = scrape both platforms.",
"default": "naukri"
},
"maxResultsPerQuery": {
"title": "Max results per query",
"type": "integer",
"description": "Maximum number of job listings to return per search keyword or URL. Default: 50.",
"default": 50
},
"maxResults": {
"title": "Max total results",
"type": "integer",
"description": "Global cap on total jobs returned across all queries. 0 = no limit.",
"default": 0
},
"includeCompanyDetails": {
"title": "Include company details",
"type": "boolean",
"description": "Fetch rich company data (rating, reviews, followers, tags, about-text, founding year, size, website, benefits, similar companies) from each unique company's overview page. Each company is fetched once per run (deduplicated). Turn off for faster, cheaper runs.",
"default": true
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```