99.co Property Scraper — Singapore Listings avatar

99.co Property Scraper — Singapore Listings

Pricing

from $5.00 / 1,000 results

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99.co Property Scraper — Singapore Listings

99.co Property Scraper — Singapore Listings

Scrape Singapore property listings from 99.co (sale & rent, condos, HDB, landed). Structured fields: price, PSF, beds, baths, sqft, tenure, agent, photos, geo.

Pricing

from $5.00 / 1,000 results

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Developer

Always Prime

Always Prime

Maintained by Community

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0

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2

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1

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4 days ago

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🏠 99.co Property Scraper — Singapore Listings

⚡️ Extract structured property data from 99.co — Singapore's #1 property portal — in seconds. Sale & rent. Condos, HDB flats, landed homes. Prices, PSF, beds, baths, sqft, tenure, agent, photos, geo — all in one clean JSON / CSV / Excel feed.

Built on Apify Python 3.11 JSON · CSV · Excel

🚀 Why this scraper

  • 📊 40+ structured fields per listing — including the ones competitors flatten or drop: PSF, district, neighbourhood, region, tenure, facing, floor level, agent CEA number.
  • 💸 Pay only for what you get$2.99 per 1,000 listings. Cap your spend with one input field.
  • 🤖 Two modes — index-only (fast, cheap) for monitoring price feeds, or detail-rich (photos, agent, tags) for lead-gen.
  • ⏱️ Incremental — pass a since timestamp and the actor skips listings older than your last run.
  • 🛡️ Cloudflare-safe — built-in transport handles the site's bot protection so you don't have to.

📦 Quick start

  1. Click Try for free above.
  2. Pick a search preset (e.g. Condos & apartments for sale) and set Maximum total listings.
  3. Hit Start.
  4. Download results as JSON, CSV, or Excel from the Output tab.

That's it — no proxies to configure, no scripts to write.

📋 Input

FieldDescription
searchesOne or more built-in categories: condos/HDB/landed × sale/rent.
startUrls(Advanced) Custom 99.co listing-page URLs — overrides searches.
maxItemsHard cap across all searches. 0 = unlimited (not recommended on broad presets). Default 50.
maxItemsPerSearchBalanced sampling across categories. 0 = no per-search cap.
scrapeDetailsIf on (default), each listing is enriched with photos, agent, tenure, furnishing, facing, floor level, tags. Off = index-only, very fast and cheap.
sinceISO timestamp — listings older than this are skipped. Perfect for daily delta runs.
concurrencyDetail fetches in flight at once. Default 5, max 25.

📤 Sample output

{
"id": "i2FTBiivSXfAF2B6ZNf5Cg",
"url": "https://www.99.co/singapore/sale/property/castle-green-condo-i2FTBiivSXfAF2B6ZNf5Cg",
"listing_type": "sale",
"property_type": "Condo",
"sub_category": "generic_condo",
"main_category": "condo",
"status": "active",
"title": "Castle Green",
"price_sgd": 1650000,
"price_display": "S$ 1.65 M",
"psf_sgd": 1432,
"psf_display": "S$ 1,432.29 psf",
"bedrooms": 3,
"bedrooms_display": "3 Beds",
"bathrooms": 3,
"floor_area_sqft": 1152,
"built_year": 1997,
"tenure": "99-year leasehold",
"furnishing": "Partially Furnished",
"facing": "East",
"floor_level": "High",
"address": "483 Yio Chu Kang Road 787057",
"street_name": "Yio Chu Kang Road",
"street_number": "483",
"postal_code": "787057",
"district": 26,
"neighborhood": "Yio Chu Kang West",
"region": "North-East Region",
"lat": 1.3860881453227498,
"lng": 103.84094052489581,
"photos": [
"https://pic2.99.co/v3/nohDHn6FFcenjoPCkWmwMA?...",
"https://pic2.99.co/v3/cnMzZVgML2tHfGVda3a9wS?..."
],
"photo_count": 13,
"video_count": 1,
"tags": ["MUST SEE", "NEGOTIABLE", "99 AGENT"],
"agent": {
"name": "Pristine Lim",
"user_id": "uXemTZ53eCA2JmsqZmAAG5",
"agency": "ERA REALTY NETWORK PTE LTD",
"cea_no": "R062520I",
"phone": "+6597672725",
"image_url": "https://pic2.99.co/v3/YET9WQsmPk8PMCdStRNcXg?...",
"is_recommended": true
},
"posted_at": "2026-03-04T11:04:03.869415+00:00",
"published_at": "2026-03-02T02:05:13.277688+00:00",
"is_must_see": true,
"is_99_exclusive": false,
"is_owner": false,
"description": "View all details on this S$ 1,650,000, 1,152 sqft Condo Apartment...",
"scraped_at": "2026-05-15T08:00:00+00:00"
}

💡 Use cases

WhoWhat for
🏘️ Property investorsTrack new listings, price-drop signals, and PSF benchmarks by district.
🏢 PropTech / CRE platformsPower your own search, valuation, or analytics product with fresh 99.co inventory.
📐 Real-estate agentsSpot competing listings, find off-market PSF anchors, qualify leads.
🧠 ML / data teamsBuild price models, demand maps, or location-quality scores from clean labelled data.
📈 Market analystsRun weekly delta scrapes to chart Singapore's residential market in near-real-time.

💡 Tips & tricks

  • For daily incremental runs, set since to the timestamp of your last successful run. The actor skips listings older than that — typically 10–20× cheaper than a full scrape.
  • For market-monitoring use cases, run with scrapeDetails: false for a fast, cheap index-only feed (price, beds, baths, sqft, address, geo).
  • To balance categories, set maxItemsPerSearch instead of just maxItems — get N from sale-condos, N from rent-condos, etc.
  • Combine startUrls with neighbourhood-specific paths like /singapore/sale/condos-apartments/punggol to scope by area.

❓ FAQ

Does this work for rent and HDB / landed too? Yes. Use the matching searches preset (or any 99.co listing URL in startUrls).

Why are some fields empty? Owner listings and some new launches don't carry every field (e.g. agent, facing). Use the dataset_schema.json to see which fields are nullable.

Will agents be contacted? No. The actor only reads what's already publicly visible on 99.co. You are responsible for compliance with Singapore's PDPA and 99.co's Terms when using the data.

How often does the actor break? 99.co's page structure is stable enough that we've successfully parsed snapshots from over a year ago against the same logic. Detail-page enrichment is the most fragile part — if the site redesigns, expect to wait a few days for an update.

📜 Compliance

This actor is a tool. Compliance with 99.co's Terms of Service and applicable data-protection law (Singapore PDPA, GDPR, etc.) is the operator's responsibility. Do not use it to mass-contact agents or to redistribute scraped data without an independent legal basis.