99.co Singapore Property Scraper

hipersoft/99co-scraper

Scrape 99.co Singapore property listings: price, price psf, beds, baths, size, tenure, district, postal code, agent, coordinates and URL. Sale or rent, bulk.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per listing scraped

$0.003

Last rebuilt

Oct 28, 2026

Overview

Scrape 99.co Singapore property listings into clean JSON, CSV or Excel. This 99.co scraper extracts price, price per sqft, bedrooms, bathrooms, floor size, tenure, completion year, district, street, postal code, agent and coordinates for both sale and rent listings, in bulk. Fast and reliable.

Great for property research, price benchmarking, agent lead generation and market monitoring.

99.co Property Scraper input — listing type and max listings in the Apify Console

What does 99.co Property Scraper do?

The 99.co Property Scraper collects Singapore residential and commercial property listings and returns them as structured data. It crawls sale and rent listings and extracts every key data point — pricing, size, location and the marketing agent — so you can export a complete property dataset without any manual copy-paste.

What data can you scrape from 99.co?

Category	Fields
💰 Pricing	price, price formatted, price per sqft
🏠 Property	property name, listing type, main category, sub category, bedrooms, bathrooms, floor size (sqft), tenure, completion year
📍 Location	address, district number, street name, postal code, latitude, longitude
👤 Agent	agent name, agent ID
🔗 Links & media	listing URL, source URL, cover photo URL
🕒 Meta	listing ID, posted date, description, collected date

What you get

99.co Property Scraper output example — property listings with price, size and agent as structured JSON

Each listing is returned as one clean record. Example output:

{
  "id": "QXiw6M9urAnhvTTaUYPT2T",
  "propertyName": "Rosewood Suites",
  "listingType": "sale",
  "subCategory": "Condo",
  "price": 1350000,
  "priceFormatted": "S$1,350,000",
  "pricePsf": 1072,
  "bedrooms": 3,
  "bathrooms": 2,
  "sizeSqft": 1259,
  "tenure": "99 yrs",
  "completedYear": 2011,
  "address": "Rosewood Drive, Singapore",
  "districtNumber": 25,
  "streetName": "Rosewood Drive",
  "postalCode": "737916",
  "latitude": "1.44",
  "longitude": "103.79",
  "agentName": "Jane Tan",
  "agentId": "a1b2c3",
  "photoUrl": "https://.../cover.jpg",
  "postedAt": 1753862400000,
  "description": "Spacious 3-bedroom unit near the MRT.",
  "url": "https://www.99.co/singapore/sale/property/rosewood-suites-condo",
  "sourceUrl": "https://www.99.co/singapore/sale",
  "collectedAt": "2026-07-30T10:00:00.000Z"
}

Output schema

Field	Type	Description
`id`	string	Unique listing identifier.
`propertyName`	string	Name of the property or development.
`listingType`	string	Whether the listing is for sale or rent.
`mainCategory`	string	Top-level property category (residential or commercial).
`subCategory`	string	Property type such as Condo, HDB or Landed.
`price`	integer	Listing price in SGD.
`priceFormatted`	string	Human-readable price string.
`pricePsf`	integer	Price per square foot in SGD.
`bedrooms`	integer	Number of bedrooms.
`bathrooms`	integer	Number of bathrooms.
`sizeSqft`	integer	Floor area in square feet.
`tenure`	string	Land tenure, e.g. 99 years or freehold.
`completedYear`	integer	Year the property was completed.
`address`	string	Full property address.
`districtNumber`	integer	Singapore postal district number.
`streetName`	string	Street name of the property.
`postalCode`	string	Singapore postal code.
`latitude`	string	Geographic latitude of the property.
`longitude`	string	Geographic longitude of the property.
`agentName`	string	Name of the marketing agent on the listing.
`agentId`	string	Unique identifier of the listing agent.
`photoUrl`	string (URL)	Cover photo image URL.
`postedAt`	integer	Timestamp when the listing was posted.
`description`	string	Listing description text.
`url`	string (URL)	Direct link to the listing.
`sourceUrl`	string (URL)	Source page URL for the listing.
`collectedAt`	string (ISO date)	Timestamp when the record was collected.

Use cases

Property price research — benchmark prices and price-per-sqft across districts and property types.
Agent lead generation — build a list of active marketing agents with the listings they represent.
Market monitoring — track new sale and rent listings over time to spot trends.
Comparative market analysis — pull comparable units by size, tenure and location.
Investment screening — filter by price, yield indicators and completion year.
Data enrichment — join property records with your own CRM or valuation models.

How to scrape 99.co data

Add the 99.co Property Scraper to your Apify account.
Choose the listing type — for sale or for rent.
Optionally set a main category and the maximum number of listings.
Click Run.
Export the results as JSON, CSV, Excel or XML, or pull them via the Apify API.

Input

{
  "listingType": "sale",
  "mainCategory": "",
  "maxItems": 500
}

Field	Type	Description
`listingType`	string	`sale` or `rent`.
`mainCategory`	string	Optional main category filter (residential / commercial). Leave empty for all.
`maxItems`	integer	Maximum number of listings to scrape.

Need more Singapore property data?

FAQ

How many listings can I scrape? As many as you like — set maxItems to cap the run, or leave it high to pull everything available.

Do I need any setup or a login? No setup and no login. Just add the actor, choose sale or rent, and run.

Can I scrape both sale and rent listings? Yes. Set listingType to sale or rent.

What export formats are supported? JSON, CSV, Excel and XML, plus programmatic access through the Apify API.

How does billing work? You pay only per item you get, so costs scale with the number of listings you scrape.

Is the data only public data? Yes — the scraper returns only publicly available listing information.

Can I integrate this with other tools? The 99.co Property Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Notes

Original clean-room implementation. Returns only public data; you are responsible for compliance with 99.co's terms. Not affiliated with 99.co.

Input

Field	Type	Description
`listingType` Listing type	string · sale, rent	Properties for sale or for rent. Default: `"sale"`
`mainCategory` Category (optional)	string	Optional main category, e.g. Empty = all.
`maxItems` Max listings	integer	Maximum listings to scrape. Default: `200`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~99co-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/99co-scraper").call(run_input={})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/99co-scraper').call({});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Listing scraped One property listing scraped.	$0.003	$0.0015
API request One search page fetched (30 listings).	$0.001	$0.001

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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