# 99.co Scraper — Singapore Property, PSF & Agent Leads (`logiover/99-co-scraper`) Actor

Scrape 99.co Singapore property listings: price and price per square foot, bedrooms, bathrooms, floor area, tenure, built year, nearest MRT station and the listing agent. HDB, condo and landed, sale and rent. Keyless. JSON, CSV or Excel.

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

## Pricing

from $3.50 / 1,000 results

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/platform/actors/running/actors-in-store#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 Scraper — Singapore Property, PSF & Agent Leads

> **Export 99.co listings — price, price per sqft, tenure, nearest MRT and the listing agent — to JSON, CSV or Excel. Keyless.**

![data](https://img.shields.io/badge/data-JSON·CSV·Excel-2b8a3e?style=flat-square) ![login](https://img.shields.io/badge/login-not%20required-0b7285?style=flat-square) ![pricing](https://img.shields.io/badge/pricing-pay%20per%20result-5f3dc4?style=flat-square) ![proxy](https://img.shields.io/badge/proxy-built----in-1864ab?style=flat-square)

**99.co Scraper** turns a major Singapore property portal into structured data. Scrape HDB flats, condos and landed homes for sale or rent — with **price per square foot**, **tenure** (99-year leasehold vs freehold), the **nearest MRT station** and the **listing agent's name** on every row. A no-code 99.co API alternative on Apify.

### 📋 At a glance

| | |
|---|---|
| **Source** | 99.co (Singapore property portal) |
| **Coverage** | All Singapore — HDB, condo, landed |
| **Volume** | Thousands of listings |
| **Data** | Sale & rent |
| **Singapore fields** | PSF · tenure · nearest MRT · agent |
| **Output** | JSON, CSV, Excel |
| **Login** | Not required |

### ❓ What is 99.co Scraper?

99.co is a leading Singapore property marketplace. This scraper reads its server-rendered cards and extracts the fields Singapore actually decides on: **price per square foot** (not just total price), **tenure** (leasehold term vs freehold, which materially changes value), and the **nearest MRT station** (which drives price more than district). Every card also carries the listing **agent's name** — the lead field for anyone selling into Singapore real estate.

### ⭐ Why use this scraper?

- ✅ **Price per sqft** as a first-class numeric column — how Singapore compares property
- ✅ **Tenure extracted** — the field that decides Singapore value
- ✅ **Nearest MRT** on every row
- ✅ **Listing agent name** for lead generation
- ✅ **HDB, condo and landed**, sale and rent
- ✅ **Keyless & browserless** — low cost per row

### 📦 What data can you extract?

Every row is a clean, structured record you can push straight into a spreadsheet, database or AI pipeline:

| Field | Description |
|---|---|
| `listingId` | Unique 99.co listing ID |
| `title` | Property name / address |
| `listingUrl` | Direct link to the listing |
| `priceAmount` | Asking price (SGD) |
| `pricePerSqft` | Price per square foot |
| `bedrooms` | Bedrooms |
| `bathrooms` | Bathrooms |
| `areaSqft` | Floor area (sqft) |
| `propertyType` | HDB / Condo / Landed |
| `tenure` | Leasehold term or Freehold |
| `builtYear` | Year built |
| `nearestMrt` | Nearest MRT station code |
| `agentName` | Listing agent (lead field) |
| `imageUrl` | Cover photo |

### 🎯 Use cases

- Compare leasehold vs freehold price per sqft by area and MRT line
- Build a Singapore property-agent lead list
- Track HDB vs condo pricing and time-on-market
- Analyse asking prices around specific MRT stations
- Feed a valuation model with a Singapore feed

### 🚀 How to use it

1. Choose **sale** or **rent**, and optionally a category (HDB / condo / landed).
2. Set **Maximum results** and click **Start**.
3. Export to JSON, CSV or Excel.

#### Input example

```json
{
  "transaction": "sale",
  "propertyType": "condo",
  "maxResults": 1000
}
```

### 💳 Pricing

This scraper runs on a **pay-per-result** model with **Apify Store volume discounts** — the more your plan tier, the lower the price per row. You only pay for the records actually delivered. Start on the **free tier**, no credit card needed to try it.

### ⚖️ Is it legal?

This scraper collects **publicly available** data only. You are responsible for how you use the exported data, including under GDPR and local regulations when the data concerns businesses or individuals. Nothing behind a login is accessed.

### ❔ FAQ

<details>
<summary><b>Do I need a 99.co account?</b></summary>

No. Search results are public — no login, no key.

</details>

<details>
<summary><b>What does '99 yrs' tenure mean?</b></summary>

A 99-year leasehold, the dominant tenure in Singapore. Freehold listings are labelled too, and both land in the `tenure` column.

</details>

<details>
<summary><b>Can I get the agent's contact?</b></summary>

The agent's name is on every row. Phone is behind a click-to-call on 99.co, so the scraper exports the name and the listing URL rather than a scraped number.

</details>

<details>
<summary><b>Why price per sqft?</b></summary>

Because that is the metric the Singapore market compares on — it is exported as its own number alongside the total price.

</details>

<details>
<summary><b>Does it cover rentals?</b></summary>

Yes — set the transaction to `rent`.

</details>

***

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# Actor input Schema

## `transaction` (type: `string`):

Sale or rental listings.

## `propertyType` (type: `string`):

Narrow to one property category. Leave as any to include everything.

## `maxResults` (type: `integer`):

Stop after this many listings. 99.co renders about 35 per page and the Actor walks pages until the target is met.

## `proxyConfiguration` (type: `object`):

99.co is served via residential Singapore proxy by default; leave it as it is for best results.

## Actor input object example

```json
{
  "transaction": "sale",
  "propertyType": "",
  "maxResults": 500,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "SG"
  }
}
```

# Actor output Schema

## `listingId` (type: `string`):

No description

## `title` (type: `string`):

No description

## `listingUrl` (type: `string`):

No description

## `transactionType` (type: `string`):

No description

## `priceLabel` (type: `string`):

No description

## `priceAmount` (type: `string`):

No description

## `currency` (type: `string`):

No description

## `pricePerSqftLabel` (type: `string`):

No description

## `pricePerSqft` (type: `string`):

No description

## `bedrooms` (type: `string`):

No description

## `bathrooms` (type: `string`):

No description

## `areaSqft` (type: `string`):

No description

## `propertyType` (type: `string`):

No description

## `tenure` (type: `string`):

No description

## `builtYear` (type: `string`):

No description

## `nearestMrt` (type: `string`):

No description

## `agentName` (type: `string`):

No description

## `badges` (type: `string`):

No description

## `imageUrl` (type: `string`):

No description

## `country` (type: `string`):

No description

## `source` (type: `string`):

No description

## `scrapedAt` (type: `string`):

No description

# 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 = {
    "transaction": "sale",
    "propertyType": "",
    "maxResults": 500,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "SG"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("logiover/99-co-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 = {
    "transaction": "sale",
    "propertyType": "",
    "maxResults": 500,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "SG",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("logiover/99-co-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 '{
  "transaction": "sale",
  "propertyType": "",
  "maxResults": 500,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "SG"
  }
}' |
apify call logiover/99-co-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,logiover/99-co-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/qjbxISzgJgt60HaYD/builds/KRbq66WD7uS4S9ndM/openapi.json