# 99.co Property Scraper — Singapore Listings (`alwaysprimedev/99co-property-scraper`) Actor

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

- **URL**: https://apify.com/alwaysprimedev/99co-property-scraper.md
- **Developed by:** [Always Prime](https://apify.com/alwaysprimedev) (community)
- **Categories:** E-commerce, Real estate, Automation
- **Stats:** 2 total users, 0 monthly users, 93.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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/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

> ⚡️ 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](https://img.shields.io/badge/Built%20on-Apify-1f6feb) ![Python 3.11](https://img.shields.io/badge/Python-3.11-3776ab) ![JSON · CSV · Excel](https://img.shields.io/badge/Output-JSON%20%C2%B7%20CSV%20%C2%B7%20Excel-1aa8aa)

### 🚀 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

| Field | Description |
| --- | --- |
| `searches` | One or more built-in categories: condos/HDB/landed × sale/rent. |
| `startUrls` | (Advanced) Custom 99.co listing-page URLs — overrides `searches`. |
| `maxItems` | Hard cap across all searches. `0` = unlimited (not recommended on broad presets). Default `50`. |
| `maxItemsPerSearch` | Balanced sampling across categories. `0` = no per-search cap. |
| `scrapeDetails` | If on (default), each listing is enriched with photos, agent, tenure, furnishing, facing, floor level, tags. Off = index-only, very fast and cheap. |
| `since` | ISO timestamp — listings older than this are skipped. Perfect for daily delta runs. |
| `concurrency` | Detail fetches in flight at once. Default `5`, max `25`. |

### 📤 Sample output

```json
{
  "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

| Who | What for |
| --- | --- |
| 🏘️ **Property investors** | Track new listings, price-drop signals, and PSF benchmarks by district. |
| 🏢 **PropTech / CRE platforms** | Power your own search, valuation, or analytics product with fresh 99.co inventory. |
| 📐 **Real-estate agents** | Spot competing listings, find off-market PSF anchors, qualify leads. |
| 🧠 **ML / data teams** | Build price models, demand maps, or location-quality scores from clean labelled data. |
| 📈 **Market analysts** | Run 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](https://www.99.co/terms) 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.

# Actor input Schema

## `searches` (type: `array`):

One-click search categories. Combine with maxItems to control output size. Leave empty if using startUrls instead.

## `startUrls` (type: `array`):

Paste 99.co listing URLs to scrape (e.g. https://www.99.co/singapore/sale/condos-apartments/punggol). Overrides searches if both are set.

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

Hard cap on the total number of listings scraped across all searches. Use 0 to scrape everything matching (not recommended on broad presets — Singapore has 100,000+ active listings). Default 50.

## `maxItemsPerSearch` (type: `integer`):

Maximum listings scraped from each search URL. Use 0 for no per-search cap. Useful when scraping multiple presets and you want a balanced sample across categories.

## `scrapeDetails` (type: `boolean`):

If on, each listing's full detail page is fetched to enrich the record with photos, agent info, furnishing, facing, floor level, tenure, and tags. Turn off for a fast, cheap index-only run that returns price, beds, baths, sqft, PSF, address, and geo per listing.

## `since` (type: `string`):

ISO 8601 timestamp (e.g. 2026-04-01T00:00:00Z). Listings older than this are skipped. Useful for daily incremental runs.

## `concurrency` (type: `integer`):

Number of detail-page fetches in flight at once. Default 5. Higher values speed up large runs but increase the chance of rate-limiting on shared proxies.

## Actor input object example

```json
{
  "searches": [
    "sale-condos"
  ],
  "startUrls": [],
  "maxItems": 50,
  "maxItemsPerSearch": 0,
  "scrapeDetails": true,
  "concurrency": 5
}
```

# Actor output Schema

## `listings` (type: `string`):

Download all scraped listings as a JSON array.

## `listingsCsv` (type: `string`):

Download all scraped listings as CSV (Excel-friendly).

## `listingsXlsx` (type: `string`):

Download all scraped listings as an Excel workbook.

## `consoleView` (type: `string`):

Browse, filter, and re-export the dataset from the Apify Console.

# 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 = {
    "searches": [
        "sale-condos"
    ],
    "startUrls": [],
    "maxItems": 50,
    "maxItemsPerSearch": 0,
    "concurrency": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("alwaysprimedev/99co-property-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 = {
    "searches": ["sale-condos"],
    "startUrls": [],
    "maxItems": 50,
    "maxItemsPerSearch": 0,
    "concurrency": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("alwaysprimedev/99co-property-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 '{
  "searches": [
    "sale-condos"
  ],
  "startUrls": [],
  "maxItems": 50,
  "maxItemsPerSearch": 0,
  "concurrency": 5
}' |
apify call alwaysprimedev/99co-property-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,alwaysprimedev/99co-property-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/nRGTkM9RorOfaH7EH/builds/Kayn6lc2Iukm7ZU2G/openapi.json