# 99.co Singapore Property Scraper — Listings & Agents (`hipersoft/99co-scraper`) Actor

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

- **URL**: https://apify.com/hipersoft/99co-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.0015 / listing scraped

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 99.co Property Scraper — Singapore Listings, Prices & Agents

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](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/99co-scraper-input.png?v=2)

### 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](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/99co-scraper-output.png?v=2)

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

```json
{
  "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

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

### Input

```json
{
  "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?

- [PropertyGuru Singapore Scraper](https://apify.com/hipersoft/propertyguru-scraper)
- [EdgeProp Singapore Scraper](https://apify.com/hipersoft/edgeprop-scraper)
- [SRX Property Scraper](https://apify.com/hipersoft/srx-scraper)
- [Singapore HDB Resale Flat Prices](https://apify.com/hipersoft/singapore-hdb-resale-flat-prices)

### 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](https://apify.com/integrations). It works with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2), JavaScript/Python clients and MCP. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action whenever a run finishes.

### Related Actors

- [MyCareersFuture Singapore Jobs Scraper](https://apify.com/hipersoft/mycareersfuture-scraper)
- [Google Maps Scraper](https://apify.com/hipersoft/google-maps-scraper)
- [Google Maps Reviews Scraper](https://apify.com/hipersoft/google-maps-reviews)

### Notes

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

# Actor input Schema

## `listingType` (type: `string`):

Properties for sale or for rent.

## `mainCategory` (type: `string`):

Optional main category, e.g. Empty = all.

## `maxItems` (type: `integer`):

Maximum listings to scrape.

## Actor input object example

```json
{
  "listingType": "sale",
  "mainCategory": "",
  "maxItems": 200
}
```

# Actor output Schema

## `results` (type: `string`):

The scraped results as dataset items.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/99co-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/99co-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call hipersoft/99co-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/99co-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/mNRcil1KGuPSMHK8H/builds/n6fcubQcPM3D0VbJJ/openapi.json