DEV Community: gafari radouane

How to Scrape Gulf Job Listings with Salaries (UAE, Saudi Arabia, Qatar) in 2026

gafari radouane — Tue, 20 Oct 2026 09:28:52 +0000

The Gulf job market moves fast. Recruitment agencies in India, Pakistan, the Philippines and Egypt, HR analysts and job-board founders all need the same thing: fresh job listings from Dubai, Abu Dhabi, Riyadh, Doha or Kuwait, with the salary and the candidate profile the employer wants. NaukriGulf is one of the biggest job boards in the region — but there is no public API.

In this guide I'll show you how to export NaukriGulf jobs with salary (local currency and USD), experience, skills, full description and desired nationality into Excel, Google Sheets or your own code, without writing a scraper.

Disclosure: I built the tool used in this guide and publish it on the Apify Store. It has a free trial, so you can test everything below without paying.

What data you get per job

Field	Example
Title, company, location	Accounts & Sales Coordinator — Dubai, UAE
Salary (local currency)	AED 2,000 – 3,500 per month
Salary (USD)	$501 – $1,000 per month
Experience	1 – 5 years
Industry, function, contract	Retail, Accounts / Audit, Full-time, On-site
Desired candidate	Education, nationalities, gender
Skills	Tally ERP, invoicing, accounts receivable…
Full description	the complete job ad (text + HTML)
Posted date, vacancies, URL	✔

Only data the site shows publicly is returned: if an employer hides the salary or the recruiter e-mail, the tool leaves it empty.

Option 1 — No code

Open the NaukriGulf Scraper and click Try for free.
Enter keywords, one per line: accountant, civil engineer, nurse, sales manager…
Optionally a location: Dubai, Abu Dhabi, Riyadh, Jeddah, Doha, Kuwait, Saudi Arabia… (a typo like "Dubaii" is corrected automatically).
Set Posted within (days) to 1 if you only want today's new jobs.
Click Start, then Export → Excel or CSV.

Example of one result:

{
  "title": "Accounts & Sales Coordinator",
  "company": "HARDWARE POINT BUILDING MATERIALS TRADING LLC",
  "location": "Dubai - United Arab Emirates (UAE)",
  "salaryMin": 2000,
  "salaryMax": 3500,
  "salaryCurrency": "AED",
  "salaryUsdMonthlyMin": 501,
  "salaryUsdMonthlyMax": 1000,
  "experienceMin": 1,
  "experienceMax": 5,
  "industry": "Retail",
  "employmentType": "Full-time",
  "education": "Bachelor of Commerce, Bachelor of Business Administration",
  "nationalities": ["Indian", "Pakistani", "Nepali", "Bangladeshi"]
}

Tip for agencies: schedule a daily run with Posted within = 1 for your key roles and get every new Gulf job in a spreadsheet each morning.

Option 2 — From your own code

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('rt-solutions/naukrigulf-scraper').call({
  keywords: ['civil engineer', 'quantity surveyor'],
  location: 'Riyadh',
  postedWithinDays: 7,
  maxJobsPerSearch: 200,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
const withSalary = items.filter((j) => j.salaryUsdMonthlyMin);
console.log(`${items.length} jobs, ${withSalary.length} with a public salary`);

Python is the same with pip install apify-client.

What it costs

$1 per 1,000 jobs, full details included. A daily run of 200 jobs costs about $6 per month. Apify's free plan includes monthly credits to test.

Use cases

Recruitment agencies: daily feed of new Gulf openings matching your candidates.
Salary benchmarks: average salary by role and city (AED, SAR, QAR, KWD…).
Market research: which industries and nationalities employers are hiring.
Job boards & newsletters: aggregate Gulf jobs for your audience.

Honest notes

About half of employers hide the salary; it is returned only when shown publicly.
Listings are mostly in English — use English keywords for the best results.
The tool collects only public job listings, visible to any visitor without login.

Working on Southeast Asian or Australian jobs too? I also built scrapers for JobStreet & JobsDB (6 countries) and SEEK (Australia & NZ).

How to Get Coles and Woolworths Grocery Prices Without Coding (2026)

gafari radouane — Tue, 20 Oct 2026 08:59:24 +0000

Australia's grocery prices have become a national topic: specials, "Down Down" campaigns, half-price deals and the endless Coles vs Woolworths debate. If you run a price-comparison app, track FMCG brands, write about cost of living or just want a spreadsheet of what milk costs this week, you need the data — and neither supermarket offers a public API.

In this guide I'll show you how to get Coles and Woolworths product prices, specials, unit prices and barcodes into Excel, Google Sheets or your own code in a few minutes, without writing a scraper yourself.

Disclosure: I built the two tools used in this guide and publish them on the Apify Store. Both have a free trial, so you can test everything below without paying.

What data you can get

For every product, from both supermarkets, in the same columns so you can compare them directly:

Field	Example
Name, brand, size	Nescafe Gold Original Premium Instant Coffee 100g
Price / was price	$7.25 / $14.50
On special, savings ($ and %)	yes, $7.25 (50%)
Offer text	"1/2 Price", "Pick any 2 for $44"
Unit price	$7.25 / 100g
Stock, category	in stock, Instant Coffee
Barcode (EAN/GTIN)	Woolworths, and Coles with product details
Image and product URL	✔

Option 1 — Compare Coles and Woolworths in one run (no code)

Open the Woolworths & Coles Scraper and click Try for free.
In Products to search, type what you want, one per line: milk, coffee pods, nappies, tim tam…
Keep both Woolworths and Coles selected. Tick Specials only if you only want this week's deals.
Click Start. A few seconds later you get a table like this:

{
  "store": "Coles",
  "name": "Nescafe Gold Original Premium Instant Coffee 100g",
  "price": 7.25,
  "wasPrice": 14.5,
  "isOnSpecial": true,
  "savingsPercent": 50,
  "offer": "1/2 Price",
  "unitPriceText": "$7.25/ 100g",
  "category": "Instant Coffee",
  "url": "https://www.coles.com.au/product/nescafe-gold-original-premium-instant-coffee-100g-8049750"
}

Click Export → Excel or CSV. Sort by unitPriceText or savingsPercent and you have your comparison.

Tip: schedule the run every Wednesday (when the new specials start) to build a weekly price history automatically.

Option 2 — The whole Coles catalogue, with ingredients and nutrition

If you need more than a keyword search — a full category, the entire weekly specials catalogue (~8,000 deals) or all ~30,000 products — use the Coles Scraper:

Mode "All specials": every product on special this week, de-duplicated.
Mode "Categories": e.g. Dairy, Eggs & Fridge or a sub-category URL like https://www.coles.com.au/browse/dairy-eggs-fridge/milk.
Mode "Full catalogue": every category in one run.
Include product details: barcode, country of origin ("Made in Australia from at least 90% Australian ingredients"), ingredients, allergens and the nutrition table per 100 g and per serving.

That last option is what nutrition apps, product databases and FMCG analysts usually can't find anywhere else.

Option 3 — Use it from your own code

Both tools have an API. With the official client (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('rt-solutions/au-supermarkets-scraper').call({
  keywords: ['milk', 'coffee'],
  stores: ['woolworths', 'coles'],
  specialsOnly: false,
  maxResultsPerSearch: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
const cheapest = items
  .filter((p) => p.unitPrice)
  .sort((a, b) => a.unitPrice - b.unitPrice)
  .slice(0, 10);
console.table(cheapest.map((p) => ({ store: p.store, name: p.name, price: p.price, unit: p.unitPriceText })));

Python works the same way with pip install apify-client.

What does it cost?

Woolworths & Coles Scraper: $1 per 1,000 products.
Coles Scraper: $1 per 1,000 products, + $2 per 1,000 if you add product details (barcode, ingredients, nutrition).

A weekly snapshot of 2,000 products is about $2. Apify's free plan includes monthly credits, enough to test properly.

A few honest notes

Prices are the standard online prices shown without a selected store.
Woolworths publishes barcodes for many products; Coles only on the product page (use Include product details).
Coles "Everyday" low prices and collectables are not counted as specials — only real deals are.
The tools only collect public information shown to any visitor, without logging in.

Ideas of what to build with it

A weekly "best deals" newsletter or Telegram bot
A price-history dashboard for your favourite products
Brand monitoring: how often is your product on special at each supermarket?
A nutrition comparison of house brands vs national brands

If you build something with this data, I'd love to see it — and if a field you need is missing, tell me in the comments.