# NaukriGulf Markets Scraper — compare Gulf by experience (`entrogix_works/naukrigulf-market-benchmark`) Actor

Pick one role and compare Gulf countries on NaukriGulf. One row per country: the median years of experience employers ask for, how many postings accept none, and a confidence range. Unofficial; not affiliated with NaukriGulf.

- **URL**: https://apify.com/entrogix\_works/naukrigulf-market-benchmark.md
- **Developed by:** [Entrogix Works](https://apify.com/entrogix_works) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$30.00 / 1,000 market benchmarkeds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Gulf Jobs Scraper — compare countries by experience bar

Pick **one role** and **two or more Gulf countries**, and get one row per country ranked by the thing that decides whether you can apply at all: **how many years of experience employers are asking for.**

Salary is the usual axis for comparing job markets, but NaukriGulf does not publish it. Experience is published, on almost every listing, as a range like `4 - 8 Years` — and it varies more between Gulf markets than most people expect. This Actor turns that text into numbers and compares the markets on it.

### What you get per country

| Field | Example |
|---|---|
| `market` | `qatar` |
| `medianExperienceMinYears` | `3` — the middle of what employers ask |
| `medianExperienceRange` | `[2, 5]` — 95% range for that median |
| `entryLevelJobs`, `entryLevelRate` | `7`, `0.23` — postings open to candidates with no experience |
| `entryLevelRateRange` | `[0.11, 0.41]` |
| `maxExperienceSeen` | `15` — how senior the market goes |
| `jobsWithExperience`, `jobs` | `29`, `30` |
| `uniqueCompanies`, `topPosterShare`, `topPoster` | `21`, `0.17`, `Gulf Recruitment LLC` |
| `rank`, `notRankedReason` | `1`, or why the row was left out |

### Read the ranking the right way

**Rank 1 is the market asking for the *least* experience** — the easiest to enter. That is the opposite direction from most comparison tools, so the summary field is called `easiestEntry` rather than "best".

**The median alone hides the entrance.** A market with a median of 5 years can still carry a block of no-experience postings; a market with a median of 3 might have none at all. `entryLevelRate` is reported separately for exactly that reason, with its own confidence range.

**A gap you cannot prove is reported as such.** If the top two ranges overlap, the summary says `topTwoTooClose: true` — the sample cannot tell you which market is easier. Countries with fewer than 6 experience-bearing postings get `rank: null`.

### Summary (key-value store, `BENCHMARK_SUMMARY`)

`query`, `markets`, `ranked`, **`easiestEntry`**, `easiestEntryMedianYears`, **`topTwoTooClose`**, `medianOfMedianExperience`, `totalEntryLevelJobs`, `concentrated`, `notRanked`.

### Input

```json
{
  "query": "data analyst",
  "countries": ["uae", "saudi-arabia", "qatar"],
  "samplePerCountry": 30
}
```

Available markets: `uae`, `saudi-arabia`, `qatar`, `kuwait`, `bahrain`, `oman`, `egypt`, `jordan`, `lebanon`. A single country is rejected — one market is not a comparison. You are charged **per country**, not per job.

### Limits, stated plainly

- **NaukriGulf does not publish salary.** If you need pay comparisons, this board does not carry the data.
- A posting whose experience text cannot be parsed is excluded from the ratio rather than counted as zero. `jobsWithExperience` shows the denominator.
- Listings are rendered in the browser, so this Actor runs a real browser and is slower than an HTTP scraper.
- Only job listings are read. Nothing about applicants is collected.

Unofficial; not affiliated with NaukriGulf or Info Edge.

# Actor input Schema

## `query` (type: `string`):

A single job title, for example 'data analyst'. The same term is used in every country so the comparison stays fair.

## `countries` (type: `array`):

Two or more NaukriGulf country markets. One country is not a comparison and is rejected.

## `samplePerCountry` (type: `integer`):

Listings come 30 per page. Every country is sampled the same way so the comparison stays fair. You are charged per country, not per job.

## `minIntervalMs` (type: `integer`):

Pacing between page fetches. Do not lower this.

## `useProxy` (type: `boolean`):

Leave this on.

## Actor input object example

```json
{
  "query": "data analyst",
  "countries": [
    "uae",
    "saudi-arabia",
    "qatar"
  ],
  "samplePerCountry": 30,
  "minIntervalMs": 3000,
  "useProxy": true
}
```

# Actor output Schema

## `results` (type: `string`):

Every row this run produced, as JSON.

## `summary` (type: `string`):

Which country asks for the least experience, whether the top two are separable, and how many postings across all markets are open to candidates with none.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "data analyst",
    "countries": [
        "uae",
        "saudi-arabia",
        "qatar"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("entrogix_works/naukrigulf-market-benchmark").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "query": "data analyst",
    "countries": [
        "uae",
        "saudi-arabia",
        "qatar",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("entrogix_works/naukrigulf-market-benchmark").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "data analyst",
  "countries": [
    "uae",
    "saudi-arabia",
    "qatar"
  ]
}' |
apify call entrogix_works/naukrigulf-market-benchmark --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,entrogix_works/naukrigulf-market-benchmark"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/EYO9gl9bdG2EdWmsI/builds/uWRNxjubeo2whuFHE/openapi.json