# Lamudi Scraper — Philippines Property Listings & Prices (`logiover/lamudi-philippines-property-scraper`) Actor

Scrape Lamudi Philippines property listings by region, type and sale or rent. Extract price, floor area, bedrooms, bathrooms, city, street address and GPS coordinates for market research and lead lists. No API key, no login.

- **URL**: https://apify.com/logiover/lamudi-philippines-property-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 $2.50 / 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

## Lamudi Scraper — Philippines Property Listings, Prices & Locations

Extract the Philippine property market as structured data: price, floor area, bedrooms, city, street address and GPS coordinates from every listing on Lamudi.

### What does the Lamudi Scraper do?

This Actor collects live property listings from **Lamudi Philippines**, the country's largest property marketplace. Rather than parsing result cards, it reads the schema.org structured data every Lamudi result page publishes — the same machine-readable block Google indexes — which means price, floor area, bedroom and bathroom counts and coordinates arrive already typed and a front-end redesign cannot silently empty your dataset.

You pick sale or rent, optionally a province and a property type, and the Actor walks the result pages and writes one flat row per property: title, full description, price in pesos, availability, bedrooms, bathrooms, floor area in square metres, region, city, street address, latitude, longitude and the listing photo. Every province Lamudi covers is supported, from Metro Manila to Palawan. No API key, no login, no cookies.

### Who is it for?

- **Property developers and proptech teams** sizing supply and price levels across Philippine provinces.
- **Real-estate investors** comparing price per square metre between Metro Manila, Cebu and provincial markets.
- **Brokers** monitoring competing inventory in their area.
- **Relocation and expat services** building searchable rental datasets for clients.
- **Researchers and analysts** studying housing supply in a market with little public data.

### Use cases

- Track condominium asking prices per square metre in Quezon City, month over month.
- Build a rental dataset for Metro Manila and map it against transport corridors using the GPS fields.
- Compare land prices across Cavite, Laguna, Rizal and Bulacan to spot the cheapest commuter belt.
- Feed a property search product with a clean, deduplicated inventory of Philippine listings.
- Give an AI agent live market data so it can answer "what does a 2-bedroom in Cebu cost right now?".

### Why use this Lamudi Scraper?

- **Keyless and login-free** — nothing to register, nothing to rotate.
- **Structured-data source** — reads schema.org `RealEstateListing` blocks, so fields are typed and stable across redesigns.
- **20 provinces and 8 property types** — from condominiums and houses to warehouses and commercial units.
- **GPS on every row** — latitude and longitude, not just a text address.
- **Bulk by design** — 30 listings per page, tens of thousands nationwide.
- **Export anywhere** — JSON, CSV, Excel, Google Sheets — and pay per result.

### What data can you extract?

One row per property. Fields Lamudi does not publish come back as `null`.

| Field | Type | Description |
|---|---|---|
| `listingId` | string | Lamudi's listing identifier |
| `title` | string | Listing headline, e.g. "Condo For Sale in Loyola Heights" |
| `url` | string | Direct link to the listing |
| `description` | string | Full listing description |
| `price` | number | Asking price |
| `currency` | string | Currency code, normally `PHP` |
| `listingType` | string | `For sale` or `For rent` |
| `availability` | string | Availability status, e.g. `InStock` |
| `bedrooms` | number | Bedroom count |
| `bathrooms` | number | Bathroom count |
| `floorArea` | number | Floor area |
| `floorAreaUnit` | string | Unit — `sqm`, `sqft` or `hectare` |
| `region` | string | Region, e.g. Metro Manila |
| `city` | string | City or municipality |
| `streetAddress` | string | Full street address as published |
| `latitude` / `longitude` | number | GPS coordinates |
| `imageUrl` | string | Main listing photo |
| `searchRegion` | string | The region filter this row was collected under |
| `searchPropertyType` | string | The property-type filter this row was collected under |
| `scrapedAt` | string | ISO 8601 collection timestamp |

#### Sample output

```json
{
  "listingId": "41032-73-a7e7750450ef-ea74-5bd7ca66-bf19-48cc",
  "title": "Condo For Sale in Loyola Heights",
  "url": "https://www.lamudi.com.ph/property/41032-73-a7e7750450ef-ea74-5bd7ca66-bf19-48cc",
  "description": "Experience elevated living in the heart of Loyola Heights. This 35th-floor 1-bedroom unit offers a perfect blend of privacy, modern design, and unparalleled convenience...",
  "price": 6879200,
  "currency": "PHP",
  "listingType": "For sale",
  "availability": "InStock",
  "bedrooms": 1,
  "bathrooms": 1,
  "floorArea": 26,
  "floorAreaUnit": "sqm",
  "region": "Metro Manila",
  "city": "Quezon City",
  "streetAddress": "Xavierville Avenue, Loyola Heights, Quezon City, Metro Manila",
  "latitude": 14.634128,
  "longitude": 121.073009,
  "imageUrl": "https://img.lamudi.com/eyJidWNrZXQiOiJwcmQtbGlmdWxsY29ubmVjdC1iYWNrZW5kLWIyYi1pbWFnZXMi...",
  "searchRegion": "nationwide",
  "searchPropertyType": "all",
  "scrapedAt": "2026-08-13T17:39:04.272Z"
}
```

### How to use the Lamudi Scraper

#### Option A — nationwide sweep

Leave the region empty and the Actor covers the whole country, newest listings first.

```json
{
  "listingType": "buy",
  "region": "",
  "propertyType": "",
  "maxResults": 1000,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "PH" }
}
```

1. Choose **Buy or rent**.
2. Leave **Region** on nationwide.
3. Leave **Property type** on all types.
4. Set **Max results** and run.

#### Option B — one province and one property type

Narrow the crawl when you want depth rather than breadth — this is how you build a comparable set for a specific market.

```json
{
  "listingType": "rent",
  "region": "cebu",
  "propertyType": "condominium",
  "maxResults": 500,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "PH" }
}
```

### Input parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `listingType` | string | `buy` | `buy` for sale listings, `rent` for rentals. |
| `region` | string | `""` | One of 20 provinces, or empty for nationwide. |
| `propertyType` | string | `""` | Condominium, house, land, apartment, townhouse, commercial, warehouse, building — or all types. |
| `maxResults` | integer | `500` | How many properties to collect. |
| `proxyConfiguration` | object | Residential / PH | Lamudi answers reliably from Philippine IPs. |

### Tips for best results

- **Split by province rather than running one enormous nationwide crawl.** Twenty smaller runs give better coverage of provincial inventory, which nationwide sorting tends to bury under Metro Manila.
- **Buy and rent are separate runs.** A sale price and a monthly rent in one column will ruin any average you compute.
- **`floorAreaUnit` is not always square metres.** Land listings are sometimes quoted in hectares; normalise before comparing.
- **The GPS fields are the real prize.** Coordinates on every row let you cluster by neighbourhood, distance to a landmark or transit line — analysis a text address cannot support.
- **Condominium is the deepest category** in Metro Manila; house and land dominate provincial markets.
- **Keep the Philippines proxy country** — Lamudi serves local traffic more reliably.
- **Deduplicate on `listingId`** across scheduled runs; the same unit is often re-advertised.
- **Watch `availability`** if you are measuring live supply rather than total advertised stock.
- **Zero rows?** Check the property type exists in that province — warehouses in a small province may genuinely have no listings.

### Integrations

- **Google Sheets** — send each run to a sheet for analysts who do not touch APIs.
- **Slack** — notify a channel when new listings appear in a target city.
- **Zapier / Make** — pipe rows into a CRM or a valuation model.
- **Webhooks** — receive the dataset id as soon as a run finishes.
- **Schedules** — daily or weekly runs give you a supply and price history.

### API usage

**cURL**

```bash
curl -X POST "https://api.apify.com/v2/acts/logiover~lamudi-philippines-property-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"listingType":"buy","region":"metro-manila","maxResults":200}'
```

**Node.js**

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

const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('logiover/lamudi-philippines-property-scraper').call({
    listingType: 'rent',
    region: 'cebu',
    propertyType: 'condominium',
    maxResults: 500,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, 'properties');
```

**Python**

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")

run = client.actor("logiover/lamudi-philippines-property-scraper").call(run_input={
    "listingType": "buy",
    "region": "metro-manila",
    "propertyType": "condominium",
    "maxResults": 500,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["city"], item["price"], item["floorArea"], item["floorAreaUnit"])
```

### Use with AI agents (MCP)

Expose this Actor through Apify's MCP server (`https://mcp.apify.com`) and an AI assistant can pull live Philippine property data during a conversation.

> *"Use the Lamudi scraper to collect 300 condominiums for sale in Metro Manila, then give me the median price per square metre by city and highlight anything under ₱100,000 per sqm."*

### FAQ

#### Do I need a Lamudi account or API key?

No. The Actor reads the publicly published structured data on Lamudi's own result pages. Nothing to register, nothing to store.

#### Which provinces are supported?

Twenty: Metro Manila, Cebu, Davao, Laguna, Cavite, Rizal, Bulacan, Pampanga, Batangas, Iloilo, Negros Occidental, Pangasinan, Bohol, Palawan, Benguet, Misamis Oriental, Zambales, Quezon, Tarlac and Nueva Ecija. Leaving the field empty covers the whole country.

#### Which property types can I filter on?

Condominium, house, land, apartment, townhouse, commercial, warehouse and building — or all types at once.

#### How many listings can one run return?

Lamudi carries tens of thousands of live listings nationwide, 30 per page. Set `maxResults` to what you need.

#### Why did my run return zero rows?

Usually a filter combination with no inventory — a niche property type in a small province. Clear the property type first, then the region, to see where the listings stop.

#### Why are some fields null?

Because the advertiser did not publish them. Bathroom counts and floor areas are optional on land listings in particular. A `null` means "not published", never "zero".

#### Does it include the agent's contact details?

No. Lamudi keeps broker contact details behind an enquiry form rather than in the public listing data, so they are not part of the structured block this Actor reads.

#### Are rental prices monthly?

Lamudi publishes rentals as a monthly figure in the vast majority of cases. Because the site does not always label the period explicitly, treat `listingType: "For rent"` rows as monthly and sanity-check outliers.

#### Can I export to CSV or Excel?

Yes — JSON, CSV, Excel, XML and RSS from the run's Storage tab or through the API.

#### How fresh is the data?

Every run fetches live result pages. `scrapedAt` dates each row, so scheduled runs build a precisely timestamped history.

#### Is scraping Lamudi legal?

The Actor collects only publicly visible listing information. See the legal note below.

#### How often is the Actor updated?

It is monitored and maintained. Because it reads schema.org structured data rather than CSS classes, it is unusually resistant to site redesigns.

### Is it legal to scrape Lamudi?

This Actor collects publicly available information only — property listings Lamudi publishes openly to every visitor and explicitly marks up for search engines, with no login and no paywall. Collecting public data is broadly lawful in most jurisdictions, but you are responsible for what you do with the results.

Review Lamudi's Terms of Service before large-scale or commercial collection, and treat any personal data you encounter in line with the Philippines' Data Privacy Act, the GDPR or whichever regime applies to you. This is not legal advice.

### Related scrapers

- **[Rumah123 Scraper](https://apify.com/logiover/rumah123-scraper)** — Indonesian property listings and agent contacts.
- **[MagicBricks Scraper](https://apify.com/logiover/magicbricks-india-property-scraper)** — Indian property listings, prices and agents.
- **[99.co Scraper](https://apify.com/logiover/99-co-scraper)** — Singapore property listings.
- **[DDproperty Scraper](https://apify.com/logiover/ddproperty-scraper)** — Thai and Southeast Asian property data.

# Actor input Schema

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

Properties offered for sale, or properties offered to rent.

## `region` (type: `string`):

Restrict the crawl to one province or region. Leave nationwide to cover the whole country.

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

Narrow to one kind of property, or leave on all types.

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

How many properties to collect. Lamudi lists tens of thousands of properties nationwide; each page carries 30.

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

Lamudi answers reliably from Philippine IPs, so residential proxies pinned to the Philippines are used by default.

## Actor input object example

```json
{
  "listingType": "buy",
  "region": "",
  "propertyType": "",
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "PH"
  }
}
```

# Actor output Schema

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

Every record collected in this run. Open the Dataset tab to browse, filter or export as JSON, CSV or Excel.

# 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 = {
    "listingType": "buy",
    "region": "",
    "propertyType": "",
    "maxResults": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "PH"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("logiover/lamudi-philippines-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 = {
    "listingType": "buy",
    "region": "",
    "propertyType": "",
    "maxResults": 100,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "PH",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("logiover/lamudi-philippines-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 '{
  "listingType": "buy",
  "region": "",
  "propertyType": "",
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "PH"
  }
}' |
apify call logiover/lamudi-philippines-property-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,logiover/lamudi-philippines-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/VUhGciIIIFq6eHYMz/builds/JEGeFJU5IMG1YqfHY/openapi.json