# Naukrigulf Jobs Scraper - Gulf Job Board (`blackfalcondata/naukrigulf-scraper`) Actor

Scrape naukrigulf.com - the Gulf-region job board covering UAE, Saudi Arabia, Qatar, Kuwait, Bahrain, and Oman. Structured salary and contact info, plus incremental change tracking for recurring runs.

- **URL**: https://apify.com/blackfalcondata/naukrigulf-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

### What does Naukrigulf Jobs Scraper do?

Naukrigulf Jobs Scraper extracts structured job data from [naukrigulf.com](https://naukrigulf.com) — including salary data, contact details, company metadata, full descriptions, and location data. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company metadata, and contact information) where the source provides them.

### Key features

- **Incremental mode** — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records.
- **Detail enrichment** — full descriptions, company metadata, and contact information where the source provides them.
- **Compact mode** — AI-agent and MCP-friendly payloads with core fields only.

### What data can you extract from naukrigulf.com?

Each result includes Core listing fields (`jobId`, `jobKey`, `title`, `summary`, `location`, `locationType`, `jobCountry`, and `localities`, and more), detail fields when enrichment is enabled (`description`, `descriptionHtml`, `descriptionMarkdown`, and `detailFetched`), contact and apply information (`contactName`, `contactDesignation`, `contactCountry`, and `contactCity`), and company metadata (`company`, `companyId`, `companyLogo`, and `companyLogoTopEmployer`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions, company metadata, and contact information where the source provides them.

### Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

- **`mode`** — How to discover jobs. 'search' runs a keyword + location search. 'jobUrls' skips search and fetches each canonical naukrigulf job URL directly (incremental works per JobId, 404s cached 30d). (default: `"search"`)
- **`query`** — Job keywords, e.g. 'developer', 'accountant', 'project manager'. Accepts multiple keywords separated by commas. Required when mode=search.
- **`jobUrls`** — List of canonical naukrigulf.com job URLs (e.g. https://www.naukrigulf.com/<seo-slug>-jid-140426000178). Required when mode=jobUrls. Skips search and fetches the detail API directly per JobId. 404s are cached for 30 days.
- **`location`** — City or country filter (e.g. 'dubai', 'riyadh', 'uae', 'qatar'). Leave empty for all Gulf locations.
- **`maxResults`** — Maximum number of jobs to fetch. 0 = unlimited (fetches up to the API total). (default: `25`)
- **`includeDetails`** — Fetch each job's full detail page (description, desired candidate, contact info, salary). Slower but richer output. (default: `true`)
- **`descriptionMaxLength`** — Truncate description to N characters. 0 = no truncation. (default: `0`)
- **`compact`** — Emit only core fields (jobId, title, company, location, salary, url, postedAt). Useful for AI agents and MCP workflows. (default: `false`)
- **`incrementalMode`** — Compare against previous run state; emit NEW/UPDATED/UNCHANGED/EXPIRED classification. (default: `false`)
- **`stateKey`** — Stable identifier for the tracked universe (required when Incremental Mode is on).
- **`emitUnchanged`** — Also emit jobs that have not changed since the last run. (default: `false`)
- **`emitExpired`** — Also emit jobs that have disappeared since the last run. (default: `false`)
- ...and 1 more parameters

#### Input examples

**Basic search** — Keyword-driven search scoped to a city with a tight radius.

→ Full payload per result — all standard fields populated where the source provides them.

```json
{
  "query": "software engineer",
  "location": "dubai",
  "maxResults": 50
}
````

**Incremental tracking** — Only emit jobs that changed since the previous run with this `stateKey`.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set `emitUnchanged: true` to include unchanged records as well.

```json
{
  "query": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}
```

**Compact output for AI agents** — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

```json
{
  "query": "software engineer",
  "maxResults": 50,
  "compact": true
}
```

### Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

#### Example job record

```json
{
  "jobId": "d59bda0f65b592d582f2e5c4101eba143fdcd9806324c04f62fd4f07ab94ce36",
  "jobKey": "140426000178",
  "title": "Sharepoint Developer, Share Point Developer",
  "summary": "Design and develop custom SharePoint solutions, implement SharePoint environments, and collaborate with stakeholders, requiring skills in C#, PowerShell, and relevant certifications.",
  "company": "Hexalyze LLC",
  "companyId": "340739",
  "companyLogo": null,
  "companyLogoTopEmployer": null,
  "companyProfile": null,
  "companyWebsite": "www.hexalyze.com",
  "companyHomepage": null,
  "location": "Dubai - United Arab Emirates (UAE)",
  "locationType": "On Site",
  "jobCountry": "United Arab Emirates (UAE)",
  "localities": [
    "Dubai"
  ],
  "description": "Design, develop, and maintain custom SharePoint solutions, including web parts, workflows, and features, tailored to specific business needs.\nImplement and configure SharePoint Online and on-premises...",
  "descriptionHtml": "<ul><li>Design, develop, and maintain custom SharePoint solutions, including web parts, workflows, and features, tailored to specific business needs.</li><li>Implement and configure SharePoint Online...",
  "descriptionMarkdown": "- Design, develop, and maintain custom SharePoint solutions, including web parts, workflows, and features, tailored to specific business needs.\n- Implement and configure SharePoint Online and on-premi...",
  "desiredCandidate": "Possesses a Bachelor's degree in Computer Science, Information Technology, or a related field, providing a solid foundation in software development.\n\nHolds relevant certifications such as Microsoft Ce...",
  "desiredCandidateHtml": "<ul><li><p>Possesses a Bachelor's degree in Computer Science, Information Technology, or a related field, providing a solid foundation in software development.</p></li><li><p>Holds relevant certificat...",
  "education": "Bachelors in Computer Application(Computers)",
  "nationality": "Any Arab National",
  "gender": "Any",
  "experienceMin": 1,
  "experienceMax": 3,
  "salaryMinText": "$1,001",
  "salaryMaxText": "$3,000",
  "salaryMin": 5000,
  "salaryMax": 8000,
  "salaryCurrency": "AED",
  "salaryCurrencyBrand": "AED",
  "salaryType": null,
  "salaryHidden": true,
  "employmentType": "Full Time",
  "industry": "IT - Software Services",
  "functionalArea": "IT Software",
  "vacancies": 1,
  "keywords": [
    "C#",
    "PowerShell",
    "SharePoint Online",
    "SharePoint Engineer",
    "SharePoint Framework SPFx",
    "SharePoint Specialist",
    "SharePoint Systems Developer",
    "SharePoint Architect"
  ],
  "keywordsWhitelisted": [
    "c#",
    "powershell",
    "sharepoint specialist"
  ],
  "contactName": "Afifa Aijaz",
  "contactDesignation": "HR Manager",
  "contactCountry": "United Arab Emirates (UAE)",
  "contactCity": "Dubai",
  "contactAddress": "Office 504, Suntech tower, Dubai Silicon Oasis, Dubai, UAE",
  "contactPincode": "",
  "contactPhone": null,
  "contactEmail": null,
  "contactEmailHidden": true,
  "isTopEmployer": false,
  "isTopEmployerLite": false,
  "isFeaturedEmployer": false,
  "isPremium": false,
  "isWebJob": false,
  "isQuickWebJob": false,
  "isFormBasedApply": false,
  "isEasyApply": false,
  "isConsultantJob": true,
  "isConfidentialCompany": false,
  "isArchived": false,
  "isExpired": false,
  "expiringSoon": false,
  "jobRedirection": false,
  "recruiterActive": true,
  "jobSource": "POSTED",
  "jobType": "normal",
  "jobTag": null,
  "referenceNumber": null,
  "micrositeUrl": null,
  "postedAt": "2026-04-14T06:17:14.000Z",
  "url": "https://www.naukrigulf.com/sharepoint-developer-share-point-developer-jobs-in-dubai-uae-in-hexalyze-llc-1-to-3-years-n-cd-340739-jid-140426000178",
  "portalUrl": "https://www.naukrigulf.com/sharepoint-developer-share-point-developer-jobs-in-dubai-uae-in-hexalyze-llc-1-to-3-years-n-cd-340739-jid-140426000178",
  "searchQuery": "developer",
  "contentQuality": "full",
  "detailFetched": true,
  "scrapedAt": "2026-04-16T21:22:48.285Z",
  "source": "naukrigulf.com",
  "contentHash": "2f3f374bb9b51274a3b9d38bb40497dcc16f316f3749fc0fd67a74f7192a792d",
  "isRepost": false,
  "repostOfId": null,
  "repostDetectedAt": null,
  "changeType": "NEW"
}
```

#### Incremental fields

When `incremental: true`, each record also carries:

- `changeType` — one of `NEW`, `UPDATED`, `UNCHANGED`, `REAPPEARED`, `EXPIRED`. Default output covers `NEW` / `UPDATED` / `REAPPEARED`; set `emitUnchanged: true` or `emitExpired: true` to opt into the others.
- `firstSeenAt`, `lastSeenAt` — ISO-8601 timestamps tracking the listing across runs.
- `isRepost`, `repostOfId`, `repostDetectedAt` — populated when a new listing matches the tracked content of a previously expired one. Set `skipReposts: true` to drop detected reposts from the output.

### How to scrape naukrigulf.com

1. Go to [Naukrigulf Jobs Scraper](https://apify.com/blackfalcondata/naukrigulf-scraper) in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set `maxResults` to control how many results you need.
4. Enable `includeDetails` if you need full descriptions, contact info, or company data.
5. Click **Start** and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

### Use cases

- Extract job data from naukrigulf.com for market research and competitive analysis.
- Track salary trends across regions and categories over time.
- Monitor new and changed listings on scheduled runs without processing the full dataset every time.
- Build outreach lists using contact details and apply URLs from listings.
- Research company hiring patterns, employer profiles, and industry distribution.
- Use structured location data for regional analysis, mapping, and geo-targeting.
- Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
- Export clean, structured data to dashboards, spreadsheets, or data warehouses.

### How much does it cost to scrape naukrigulf.com?

Naukrigulf Jobs Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced.

- **Run start:** $0.005 per run
- **Per result:** $0.002 per job record

Example costs:

- 10 results: **$0.03**
- 100 results: **$0.21**
- 500 results: **$1**

#### Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

| Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline |
|---|---:|---:|---:|---:|
| 5% — stable niche query | $0.21 | $0.01 | $0.19 (93%) | $0.45 |
| 15% — moderate broad query | $0.21 | $0.03 | $0.17 (83%) | $1.05 |
| 30% — high-volume aggregator | $0.21 | $0.07 | $0.14 (68%) | $1.95 |

Full re-scrape monthly cost at daily polling: $6.15. First month with incremental costs $0.64 / $1.22 / $2.09 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

### FAQ

#### How many results can I get from naukrigulf.com?

The number of results depends on the search query and available listings on naukrigulf.com. Use the `maxResults` parameter to control how many results are returned per run.

#### Does Naukrigulf Jobs Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

#### Can I integrate Naukrigulf Jobs Scraper with other apps?

Yes. Naukrigulf Jobs Scraper works with Apify's [integrations](https://apify.com/integrations) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

#### Can I use Naukrigulf Jobs Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages.

#### Can I use Naukrigulf Jobs Scraper through an MCP Server?

Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server) that lets AI assistants and agents call this actor directly. Use compact mode and `descriptionMaxLength` to keep payloads manageable for LLM context windows.

#### Is it legal to scrape naukrigulf.com?

This actor extracts publicly available data from naukrigulf.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

#### Your feedback

If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/naukrigulf-scraper/issues) on the actor's page in Apify Console. Your feedback helps us improve.

### You might also like

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- [Arbeitsagentur Scraper - German Jobs](https://apify.com/blackfalcondata/arbeitsagentur-scraper) — Scrape arbeitsagentur.de - Germany’s official employment portal with 1M+ listings. Contact data,.
- [AutoScout24 Scraper](https://apify.com/blackfalcondata/autoscout24-scraper) — Scrape autoscout24.com - Europe's largest used car marketplace with 770K+ listings. Structured.
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- [Bilbasen Scraper - Denmark’s Car Marketplace](https://apify.com/blackfalcondata/bilbasen-scraper) — Scrape bilbasen.dk - Denmark’s largest car marketplace. Full vehicle specifications, seller.
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# Actor input Schema

## `mode` (type: `string`):

How to discover jobs. 'search' runs a keyword + location search. 'jobUrls' skips search and fetches each canonical naukrigulf job URL directly (incremental works per JobId, 404s cached 30d).

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

Job keywords, e.g. 'developer', 'accountant', 'project manager'. Accepts multiple keywords separated by commas. Required when mode=search.

## `jobUrls` (type: `array`):

List of canonical naukrigulf.com job URLs (e.g. https://www.naukrigulf.com/<seo-slug>-jid-140426000178). Required when mode=jobUrls. Skips search and fetches the detail API directly per JobId. 404s are cached for 30 days.

## `location` (type: `string`):

City or country filter (e.g. 'dubai', 'riyadh', 'uae', 'qatar'). Leave empty for all Gulf locations.

## `maxResults` (type: `integer`):

Maximum number of jobs to fetch. 0 = unlimited (fetches up to the API total).

## `includeDetails` (type: `boolean`):

Fetch each job's full detail page (description, desired candidate, contact info, salary). Slower but richer output.

## `descriptionMaxLength` (type: `integer`):

Truncate description to N characters. 0 = no truncation.

## `compact` (type: `boolean`):

Emit only core fields (jobId, title, company, location, salary, url, postedAt). Useful for AI agents and MCP workflows.

## `incrementalMode` (type: `boolean`):

Compare against previous run state; emit NEW/UPDATED/UNCHANGED/EXPIRED classification.

## `stateKey` (type: `string`):

Stable identifier for the tracked universe (required when Incremental Mode is on).

## `emitUnchanged` (type: `boolean`):

Also emit jobs that have not changed since the last run.

## `emitExpired` (type: `boolean`):

Also emit jobs that have disappeared since the last run.

## `skipReposts` (type: `boolean`):

Skip jobs whose content matches a previously expired job (cross-run repost detection).

## Actor input object example

```json
{
  "mode": "search",
  "query": "software engineer",
  "location": "dubai",
  "maxResults": 25,
  "includeDetails": true,
  "descriptionMaxLength": 0,
  "compact": false,
  "incrementalMode": false,
  "emitUnchanged": false,
  "emitExpired": false,
  "skipReposts": false
}
```

# Actor output Schema

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

No description

# 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": "software engineer",
    "location": "dubai",
    "maxResults": 25
};

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

# Prepare the Actor input
run_input = {
    "query": "software engineer",
    "location": "dubai",
    "maxResults": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/naukrigulf-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 '{
  "query": "software engineer",
  "location": "dubai",
  "maxResults": 25
}' |
apify call blackfalcondata/naukrigulf-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=blackfalcondata/naukrigulf-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Naukrigulf Jobs Scraper - Gulf Job Board",
        "description": "Scrape naukrigulf.com - the Gulf-region job board covering UAE, Saudi Arabia, Qatar, Kuwait, Bahrain, and Oman. Structured salary and contact info, plus incremental change tracking for recurring runs.",
        "version": "0.1",
        "x-build-id": "vXa95E0UbEinK2Qlx"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/blackfalcondata~naukrigulf-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-blackfalcondata-naukrigulf-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/blackfalcondata~naukrigulf-scraper/runs": {
            "post": {
                "operationId": "runs-sync-blackfalcondata-naukrigulf-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/blackfalcondata~naukrigulf-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-blackfalcondata-naukrigulf-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "mode": {
                        "title": "Input Mode",
                        "enum": [
                            "search",
                            "jobUrls"
                        ],
                        "type": "string",
                        "description": "How to discover jobs. 'search' runs a keyword + location search. 'jobUrls' skips search and fetches each canonical naukrigulf job URL directly (incremental works per JobId, 404s cached 30d).",
                        "default": "search"
                    },
                    "query": {
                        "title": "Search Query",
                        "type": "string",
                        "description": "Job keywords, e.g. 'developer', 'accountant', 'project manager'. Accepts multiple keywords separated by commas. Required when mode=search."
                    },
                    "jobUrls": {
                        "title": "Job URLs",
                        "type": "array",
                        "description": "List of canonical naukrigulf.com job URLs (e.g. https://www.naukrigulf.com/<seo-slug>-jid-140426000178). Required when mode=jobUrls. Skips search and fetches the detail API directly per JobId. 404s are cached for 30 days.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "location": {
                        "title": "Location",
                        "type": "string",
                        "description": "City or country filter (e.g. 'dubai', 'riyadh', 'uae', 'qatar'). Leave empty for all Gulf locations."
                    },
                    "maxResults": {
                        "title": "Max Results",
                        "minimum": 0,
                        "maximum": 5000,
                        "type": "integer",
                        "description": "Maximum number of jobs to fetch. 0 = unlimited (fetches up to the API total).",
                        "default": 25
                    },
                    "includeDetails": {
                        "title": "Include Job Details",
                        "type": "boolean",
                        "description": "Fetch each job's full detail page (description, desired candidate, contact info, salary). Slower but richer output.",
                        "default": true
                    },
                    "descriptionMaxLength": {
                        "title": "Description Max Length",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Truncate description to N characters. 0 = no truncation.",
                        "default": 0
                    },
                    "compact": {
                        "title": "Compact Output",
                        "type": "boolean",
                        "description": "Emit only core fields (jobId, title, company, location, salary, url, postedAt). Useful for AI agents and MCP workflows.",
                        "default": false
                    },
                    "incrementalMode": {
                        "title": "Incremental Mode",
                        "type": "boolean",
                        "description": "Compare against previous run state; emit NEW/UPDATED/UNCHANGED/EXPIRED classification.",
                        "default": false
                    },
                    "stateKey": {
                        "title": "State Key",
                        "type": "string",
                        "description": "Stable identifier for the tracked universe (required when Incremental Mode is on)."
                    },
                    "emitUnchanged": {
                        "title": "Emit Unchanged",
                        "type": "boolean",
                        "description": "Also emit jobs that have not changed since the last run.",
                        "default": false
                    },
                    "emitExpired": {
                        "title": "Emit Expired",
                        "type": "boolean",
                        "description": "Also emit jobs that have disappeared since the last run.",
                        "default": false
                    },
                    "skipReposts": {
                        "title": "Skip Reposts",
                        "type": "boolean",
                        "description": "Skip jobs whose content matches a previously expired job (cross-run repost detection).",
                        "default": false
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```