Bayt Jobs Scraper

A lot of the Middle East and North Africa hiring market runs through Bayt.com, but the site gives you no clean way to get listings into a spreadsheet. So you copy role titles, employers, and salaries by hand, page after page. This scraper reads the pages for you. Hand it a Bayt search URL and it walks every results page, pulls the job title, hiring company, location, pay range, seniority, and posting date off each card, and gives them back as one row per listing. Point it at a single keyword search or a stack of country pages and let it work through the lot.

What you get

Each job card on the page becomes one row with a steady shape, so your columns line up when the data lands in a sheet or database. Fields that an employer left blank come back as null rather than disappearing. Three groups per listing:

• Role — roleTitle, roleSummary, seniorityLevel, experienceRange, payRange, workArrangement, nationalityRequirement
• Employer and location — employerName, employerUrl, employerLogo, cityName, countryName
• Listing metadata — postingId, postingUrl, postedEpoch, postedAt, postedLabel, quickApply, externalListing, collectedAt

Quick start

1. Hit Try for free and open the input form.
2. Paste one or more Bayt.com search URLs into Bayt search URLs (a country page, a keyword search, or a city-filtered result all work).
3. Set a Results limit per URL and raise the Timeout (seconds) if your runs hit slow responses.
4. Press Start, then export the results as JSON, CSV, Excel, or XML when the run finishes.

Use cases

• Salary benchmarking — gather pay ranges for the same role across the UAE, Saudi Arabia, and Qatar to compare what each market pays
• Hiring trend tracking — re-run a search weekly to watch which employers are growing and where the openings cluster
• Competitor recruitment monitoring — follow a specific company's postings to read its expansion and skill priorities
• Recruitment sourcing — feed fresh listings into a downstream workflow that matches candidates to open roles
• Labor market research — build a MENA jobs dataset for HR analytics, reporting, or model training

Input

Field	Type	Required	Description
searchUrls	array of strings	Yes	One or more Bayt.com job search URLs. Country pages, keyword searches, and city-filtered results all work, as long as each points to bayt.com.
resultsLimit	integer	No	How many listings to pull from each URL before moving on. Default 20.
timeoutSeconds	integer	No	Seconds to wait on each request before giving up. Default 45; raise it if you see frequent timeouts.

Example input

{
    "searchUrls": [
        "https://www.bayt.com/en/saudi-arabia/jobs/marketing-manager-jobs/",
        "https://www.bayt.com/en/qatar/jobs/"
    ],
    "resultsLimit": 20,
    "timeoutSeconds": 45
}

Output

Every job card becomes one row in the dataset, and each field is always present — values an employer left out come back as null so the data stays rectangular. Pull results as JSON, CSV, Excel, or XML from the Storage tab once the run ends.

Example output

{
    "postingId": "5461128",
    "roleTitle": "Unreal Engine Gameplay Programmer",
    "postingUrl": "https://www.bayt.com/en/qatar/jobs/unreal-engine-gameplay-programmer-5461128/",
    "employerName": "Dunetech Studios",
    "employerUrl": "https://www.bayt.com/en/company/dunetech-studios-2304796/",
    "employerLogo": "https://secure.b8cdn.com/58x58/images/logo/96/2304796_logo_n.png",
    "cityName": "Doha",
    "countryName": "Qatar",
    "roleSummary": "A small independent studio is hiring a gameplay programmer to help build interactive experiences in Unreal Engine.",
    "seniorityLevel": "Mid career",
    "experienceRange": "3-5 Years of Experience",
    "payRange": null,
    "workArrangement": "Hybrid",
    "nationalityRequirement": null,
    "postedEpoch": 1781095408,
    "postedAt": "2026-06-12T10:43:28+00:00",
    "postedLabel": "21 hours ago",
    "quickApply": true,
    "externalListing": false,
    "collectedAt": "2026-06-29T08:12:34.123456+00:00"
}

Output fields

Field	Type	Description
postingId	string	Numeric identifier Bayt.com assigns to the listing
roleTitle	string	Position title printed on the listing card
postingUrl	string	Direct link to the full job page on Bayt.com
employerName	string	Company that posted the role
employerUrl	string	Link to the company's profile page on Bayt.com
employerLogo	string	Image link for the company logo
cityName	string	City the role is based in
countryName	string	Country the role is based in
roleSummary	string	Short blurb about the role shown on the results card
seniorityLevel	string	Experience tier such as Entry level, Mid career, or Senior executive
experienceRange	string	Years-of-experience span pulled from the seniority label
payRange	string	Compensation band when the employer chose to publish it
workArrangement	string	Remote or hybrid setup when the listing states one
nationalityRequirement	string	Citizenship or nationality condition noted on the card
postedEpoch	integer	Posting time as a Unix timestamp in seconds
postedAt	string	Posting time as an ISO 8601 UTC datetime
postedLabel	string	Relative posting time as written on the page, like 4 days ago
quickApply	boolean	True when the card offers a one-click apply button
externalListing	boolean	True when the role links out to a site other than Bayt.com
collectedAt	string	ISO 8601 UTC timestamp of when the record was captured

Tips for best results

• Start small. Run one URL with resultsLimit at 20 before committing to a big batch — URL-format mistakes show up in the first page.
• Copy the URL straight from Bayt. Browse to the search you want on bayt.com, apply your filters, then paste the address from the bar; every filter carries over.
• Some fields stay empty by design. payRange, workArrangement, nationalityRequirement, and experienceRange only fill in when the employer published them, so expect null on plenty of cards.
• Raise timeoutSeconds to ~60 for large runs or when responses come back slowly.
• Mind the page size. Bayt shows roughly 20 to 30 cards per page, so at the default limit a run usually finishes inside one or two pages per URL.

How can I use Bayt jobs data?

How can I use the Bayt Jobs Scraper to compare salaries across MENA? Paste the same role search for several countries — say marketing manager in the UAE, Saudi Arabia, and Qatar — and the scraper returns each listing's payRange, cityName, countryName, and seniorityLevel. Group the rows by country to see how compensation shifts between markets and where the better-paying openings sit.

How can I track who is hiring on Bayt.com over time? Save a search URL for an industry or company and run it on a schedule. Each pass returns employerName, roleTitle, postedAt, and postedLabel, so you can see which employers post most often and how quickly new roles appear. That gives you a rough read on hiring momentum without checking the site by hand.

How can I build a Bayt job dataset for analytics or model training? Feed in a list of country or keyword search URLs and set resultsLimit to the depth you need. Every card comes back as one row with the role, employer, location, and posting metadata. Export the result to CSV or Excel and load it straight into your pipeline.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.