How to get Aqar.fm property listings into Google Sheets (Riyadh, Jeddah, any Saudi city)

Mohamed Senator — Sat, 17 Oct 2026 01:52:49 +0000

Aqar.fm is the biggest property site in Saudi Arabia, but it has no export button. If you want to compare rents across Riyadh districts or spot under-priced listings, you end up copying listings by hand.

Here's how to get clean listings into a spreadsheet in about two minutes, with no code.

Step 1: Open the scraper
Go to Aqar.fm Scraper on Apify and click Try for free.

Step 2: Pick your search

City: Riyadh, Jeddah, Dammam, Al Khobar, Mecca, Medina and more
Category: apartments, villas, land or buildings, for rent or for sale
Optional filters: district, price range, area, minimum bedrooms
Max results: how many listings you want

Step 3: Run it and export
Click Start. When the run finishes, open Storage → Dataset and export to CSV or Excel, then import the file into Google Sheets. To refresh automatically, add a schedule (for example, daily at 8:00).

What you get for each listing
English and Arabic title and description, price in SAR, rent period, area (m²), price per m², bedrooms, bathrooms, district, map coordinates, photos, and advertiser type.

The column most people miss is priceVsDistrictMedianPct: how far a listing's price per m² is above or below the median for its district.

Example: in my test, a 203 m² three-bedroom apartment for rent in Al Malqa, Riyadh, came in at SAR 369/m². The district median was SAR 622/m², so it was 40.6% below median. Sort by that column and the deals are at the top.

Cost: you pay per listing, and there's no subscription.

Want alerts instead of exports? Aqar.fm Monitor runs on a schedule and reports only new listings and price drops.

Turn any web page into typed JSON for your AI agent (with a source quote for every value)

Mohamed Senator — Sat, 17 Oct 2026 01:48:24 +0000

LLM agents are great at reasoning and bad at reading messy HTML. The usual fix is a custom scraper per site, which breaks every time the site changes.

Webpage to JSON for AI Agents takes a URL and a plain-English description of the fields you want, and returns typed JSON. Every value comes with a quote from the page, so you can check it isn't made up.

Input:

{
  "urls": ["https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html"],
  "instruction": "Extract the book title, price as a number, currency code, and whether it is in stock."
}

Output (real run):

{
  "data": { "title": "A Light in the Attic", "price": 51.77, "currencyCode": "GBP", "inStock": true },
  "evidence": { "title": "# A Light in the Attic", "price": "£51.77" },
  "unverifiedFields": []
}

Useful options

JSON schema: pass extractionSchema when you need an exact shape.
List mode: set listMode: true to get many records from one page, such as product grids or job boards.
Strict evidence: requireEvidence is on by default. A value without a source quote is flagged in unverifiedFields.

Call it from code

from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("s3nafps/webpage-to-json-for-ai-agents").call(run_input={
    "urls": ["https://example.com/pricing"],
    "instruction": "List each plan with name, monthly price and included seats."
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["data"])

Use it as an MCP tool: add https://mcp.apify.com/?actors=s3nafps/webpage-to-json-for-ai-agents to Claude, Cursor or any MCP client, and your agent can call it directly.

The LLM cost is included. You pay $0.03 per page with data and nothing for pages where no data was found.

DEV Community: Mohamed Senator

How to get Aqar.fm property listings into Google Sheets (Riyadh, Jeddah, any Saudi city)

Turn any web page into typed JSON for your AI agent (with a source quote for every value)