Lamudi.com.ph Scraper — Philippines Real Estate Data Extractor for Condos, Houses, Land & Commercial Listings

The most complete Lamudi.com.ph data extraction tool on Apify. Pull structured Philippine property listings — condos in Makati and BGC, house-and-lot in Quezon City, beachfront lots in Cebu, commercial space in Ortigas — straight from Lamudi.com.ph with PHP pricing, barangay-level location, PRC broker license, title status, and developer/project metadata. Built for OFW investor research, PH prop-tech, presale comps, BPO relocation, and mortgage broker workflows.

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What This Actor Does

The Lamudi.com.ph Scraper is a production-ready Apify Actor that extracts the full public property listing inventory from Lamudi.com.ph — the Philippines' largest real estate portal, founded in 2013 by Rocket Internet and now part of EMPG (Dubizzle Group). Lamudi aggregates tens of thousands of For-Sale and For-Rent listings from independent brokers, real estate agencies, and the country's largest developers — Ayala Land, Megaworld, SMDC (SM Development Corporation), DMCI Homes, Robinsons Land, Vista Land, Filinvest, and Federal Land — covering every major Philippine market from Metro Manila to Cebu, Davao, Cagayan de Oro, Iloilo, Baguio, and Tagaytay.

On each run, the actor returns structured JSON for every visible listing across these property categories:

• Condominiums — high-rise units in Makati CBD, BGC (Bonifacio Global City), Ortigas, Mandaluyong, Pasay, Quezon City, Cebu IT Park, and resort towers in Tagaytay and Cebu
• House & Lot — gated subdivision homes in Ayala Alabang, Greenhills, Loyola Heights, Acropolis, Filinvest East, Antipolo, and Davao
• Land / Lots — raw and titled lots in Tagaytay, Batangas, Bulacan, Cavite, Pampanga, Cebu province, and Palawan
• Townhouses — multi-storey row homes in Marikina, Parañaque, Las Piñas, Antipolo
• Apartments — rental units catering to OFW families and BPO employees
• Commercial property — office space, BPO floors, retail bays, mixed-use podiums in Makati, BGC, Ortigas Center, and Cebu Business Park
• Warehouses & industrial — logistics property in Laguna, Cavite, and Bulacan industrial parks

Each record exposes the price in PHP, price per square metre, floor area / lot area, bedrooms / bathrooms, barangay → city → province location parsing, title status (Clean Title, TCT, CCT, Tax Declaration), furnishing level, subdivision / project name, developer name, and where available the listing agent, agency, PRC broker license number, and direct contact phone — the same data fields a Philippine broker, valuer, or property analyst would manually copy off the site, delivered as clean JSON ready for Excel, Power BI, or a Postgres warehouse.

Why scrape Lamudi yourself when this exists?

Lamudi looks like a simple property site, but anyone who has tried to scrape it discovers the same headaches inside an afternoon:

• Cloudflare WAF challenges trigger on bare HTTP clients and any automation that looks "headless"
• Next.js SSR + client hydration means half the data isn't in the initial HTML — you need a real browser
• Class names are hashed (snippet__abc123) and rotate between deploys, breaking CSS selectors weekly
• JSON-LD schema is inconsistent — some listings expose RealEstateListing, others Product, others nothing
• Address parsing is non-trivial — "Tower 2, BGC, Taguig City, Metro Manila" has to be split into street / barangay / city / province
• Mixed currencies appear in luxury and serviced-apartment listings (USD, SGD) — naive parseInt produces junk numbers
• PHP prices are formatted with ₱, PHP, Php, commas, decimals, and the dreaded "Price on Request" — your regex will break
• Pagination caps silently at page 50–100 depending on filters
• Detail pages are slow (3–6 seconds each) and trigger anti-bot if hit too fast
• PRC broker license numbers are buried in free-text agent bios — there is no structured field
• Photos are lazy-loaded behind data-src attributes that only resolve on scroll
• Filipino location synonyms (Quezon City = QC, Taguig = BGC, Muntinlupa = Alabang) need normalisation

This actor handles all of the above out of the box: Playwright with stealth patches, residential proxy rotation, JSON-LD + DOM dual-strategy extraction, PHP-aware price parsing, three-level location splitting, PRC license regex, lazy-image resolution, and graceful WAF backoff. You get a clean JSON dataset — no headless-Chromium plumbing, no Cloudflare debugging, no class-name archaeology.

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Quick Start

One-Click Run

1. Open the Lamudi.com.ph Scraper page on Apify Store
2. Click "Try for free" — defaults pull recent For-Sale listings nationwide
3. (Optional) Set cities: ["makati", "taguig"] and propertyType: "condominium" to target a niche
4. Hit Start — your dataset is ready in a few minutes; export as JSON, CSV, Excel, or push to Sheets/BigQuery via the Apify integrations panel

API Run (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("haketa/lamudi-scraper").call(run_input={
    "listingType":   "buy",
    "propertyType":  "condominium",
    "cities":        ["makati", "taguig", "pasig"],
    "scrapeDetails": True,
    "maxRecords":    500,
    "requestDelay":  2500,
})

for listing in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"₱{listing['price']:,.0f}  {listing['propertyType']:<12}  "
          f"{listing['bedrooms']}BR  {listing['floorArea']}sqm  "
          f"{listing['barangay']}, {listing['city']}")

API Run (Node.js / TypeScript)

import { ApifyClient } from 'apify-client';

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

const run = await client.actor('haketa/lamudi-scraper').call({
    listingType:   'rent',
    propertyType:  'condominium',
    cities:        ['makati', 'taguig'],
    scrapeDetails: false,
    maxRecords:    200,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Pulled ${items.length} Makati/BGC condos for rent`);
items.slice(0, 5).forEach(l => console.log(`₱${l.price} — ${l.title}`));

API Run (cURL)

curl -X POST "https://api.apify.com/v2/acts/haketa~lamudi-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "listingType":   "buy",
    "propertyType":  "house",
    "cities":        ["quezon-city", "antipolo", "marikina"],
    "scrapeDetails": true,
    "maxRecords":    300
  }'

Direct URL run (any Lamudi search)

{
  "startUrls": [
    "https://www.lamudi.com.ph/metro-manila/buy/condominium/",
    "https://www.lamudi.com.ph/cebu/buy/house/",
    "https://www.lamudi.com.ph/davao-city/rent/"
  ],
  "scrapeDetails": true,
  "maxRecords": 1000
}

Paste any Lamudi search URL — filtered by price, bedrooms, amenities, developer, anything — and the actor follows the same pagination and parsing pipeline.

---

How It Works

Lamudi.com.ph is a Next.js / React application with server-side rendering plus client-side hydration. The actor uses Playwright with Chromium to render the full page (so React components, lazy-loaded images, and the agent contact block all materialise), then runs a dual-strategy extractor — JSON-LD structured data first, DOM scraping as fallback.

URL pattern

https://www.lamudi.com.ph/{city-slug}/{buy|rent}/{property-type}/?page={n}

Examples:

Search	URL
Condos for sale in Makati	https://www.lamudi.com.ph/makati/buy/condominium/
Houses for rent in Quezon City	https://www.lamudi.com.ph/quezon-city/rent/house/
All listings in Cebu	https://www.lamudi.com.ph/cebu/
BGC condos page 3	https://www.lamudi.com.ph/taguig/buy/condominium/?page=3
Davao land for sale	https://www.lamudi.com.ph/davao-city/buy/land/
Commercial in Ortigas	https://www.lamudi.com.ph/pasig/buy/commercial/

Engineering details

• Playwright Chromium with --disable-blink-features=AutomationControlled, webdriver masked, chrome.runtime shim
• PH locale & timezone — locale: 'en-PH', timezoneId: 'Asia/Manila' for realistic browser fingerprint
• Residential proxy rotation via Apify proxy groups (one session per search URL, fresh IP per task) — datacenter works for light runs
• Cloudflare WAF detection with up to 6 retries at 5-second intervals when "Just a moment", "Checking", or "Access Denied" titles appear
• Dual extraction:
  1. JSON-LD — script[type="application/ld+json"] with RealEstateListing, Product, Residence, House, Apartment types plus itemListElement arrays
  2. DOM fallback — a[href*="/property/"] links, parent card containers, regex for price/beds/baths/area
• PHP price parser — strips ₱, PHP, Php, commas; ignores values under ₱1,000 (filter for accidental matches)
• Location parser — splits free-text addresses into barangay → city → province, detecting street prefixes (Street, Avenue, Road, Drive, Boulevard)
• Property-type normalisation — condo / condominium → Condominium; house and lot → House and Lot; lot / land → Land
• Detail-page enrichment (optional, scrapeDetails: true) — opens each listing for description, amenities (pool, gym, CCTV, guard), agent name, agency name, contact phone, PRC license (PRC#0012345), subdivision, developer, project, year built, parking slots, storeys, GPS coordinates, full image gallery
• Deduplication by listingId (when present) or listingUrl — duplicates from overlapping searches are filtered automatically
• Polite pacing — randomised 2,500–4,000ms delay between page loads (configurable)

---

Input Parameters

{
  "startUrls": [],
  "listingType": "buy",
  "propertyType": "condominium",
  "cities": ["makati", "taguig", "pasig"],
  "scrapeDetails": true,
  "maxRecords": 500,
  "maxPages": 0,
  "requestDelay": 2500,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Parameter reference

Parameter	Type	Default	Description
startUrls	array<string>	[]	Direct Lamudi search URLs. Overrides listingType, propertyType, and cities when provided. Paste any filtered Lamudi search page.
listingType	string	buy	buy (For Sale), rent (For Rent), or all (both).
propertyType	string	all	all, house, condominium, land, commercial, apartment, warehouse.
cities	array<string>	[]	City / region slugs. Examples: metro-manila, makati, taguig, quezon-city, pasig, mandaluyong, pasay, paranaque, muntinlupa, cebu, cebu-city, mandaue, lapu-lapu, davao-city, cagayan-de-oro, iloilo-city, baguio, tagaytay. Empty array = nationwide.
scrapeDetails	boolean	false	When true, the actor visits each listing detail page for full description, amenities, agent phone, PRC license, developer, GPS coordinates, full image gallery. Adds 3–6 seconds per listing.
maxRecords	integer	0	Cap total output. 0 = unlimited.
maxPages	integer	0	Cap pages per search (≈30 listings per page). 0 = follow pagination to the end.
requestDelay	integer	2500	Base delay (ms) between page loads. Randomised +0–1500ms. Increase to 3,500–4,500 for very large scrapes.
proxyConfiguration	object	RESIDENTIAL	Apify proxy settings. Residential is recommended for runs above a few hundred listings. Datacenter works for sampling.

---

Output Schema

Every record uses the same flat JSON shape so downstream warehouses, BI tools, and CRMs ingest the whole dataset without per-property-type branching.

Core listing fields

Field	Type	Description
listingId	string	Lamudi listing ID (numeric or UUID) parsed from the property URL
title	string	Listing headline — e.g. "3BR Condo in Park Triangle Residences, BGC"
listingType	string	For Sale or For Rent
propertyType	string	Normalised: Condominium, House, House and Lot, Townhouse, Land, Commercial, Apartment, Warehouse, Studio
price	number	Price as a plain number, in PHP (₱12,500,000 → 12500000)
currency	string	Currency code — PHP for almost all listings
pricePerSqm	number	Computed when both price and floor area are available
bedrooms	integer	Bedroom count (0 for studios)
bathrooms	integer	Bathroom count
floorArea	number	Floor area in m²
lotArea	number	Lot area in m² (House and Lot, Land)

Location fields

Field	Type	Description
barangay	string	Barangay name (Philippine sub-municipal unit) — Bel-Air, Forbes Park, Loyola Heights, etc.
city	string	City or municipality — Makati, Taguig, Quezon City, Cebu City, Davao City
province	string	Province or region — Metro Manila, Cebu, Davao del Sur, Cavite, Batangas
subdivision	string	Gated subdivision or village name (House and Lot listings)

Property & project metadata

Field	Type	Description
titleStatus	string	Clean Title, TCT (Transfer Certificate of Title), CCT (Condominium Certificate of Title), Tax Declaration
furnishing	string	Fully Furnished, Semi-Furnished, Unfurnished
developerName	string	Developer — Ayala Land, Megaworld, SMDC, DMCI Homes, Robinsons Land, Vista Land, Filinvest, Federal Land, Century Properties
projectName	string	Project / building name — Park Triangle Residences, Uptown Parksuites, Greenbelt Parkplace, One Shangri-La Place

Agent & agency fields

Field	Type	Description
agentName	string	Listing agent / broker name
agentLicenseNo	string	PRC (Professional Regulation Commission) broker / salesperson licence — formatted PRC#0012345
agencyName	string	Brokerage or agency name
contactPhone	string	Direct PH mobile or landline (with scrapeDetails: true)

Content fields

Field	Type	Description
amenities	array<string>	Building / unit amenities — Swimming Pool, Gym, 24/7 Security, CCTV, Function Room, Sky Lounge, Concierge, Parking, Children's Play Area
description	string	Full free-text listing description (with scrapeDetails: true)
images	array<string>	All listing photo URLs from Lamudi's CDN
listingUrl	string	Direct URL back to the Lamudi listing page
postedDate	string	When the listing was posted (when surfaced by Lamudi)
scrapedAt	string	ISO-8601 extraction timestamp

Example: Condo For Sale in BGC

{
  "listingId": "47829163",
  "title": "Brand New 2BR Condo for Sale in Park Triangle Residences, BGC",
  "listingType": "For Sale",
  "propertyType": "Condominium",
  "price": 28500000,
  "currency": "PHP",
  "pricePerSqm": 311475,
  "bedrooms": 2,
  "bathrooms": 2,
  "floorArea": 91.5,
  "lotArea": null,
  "barangay": "Fort Bonifacio",
  "city": "Taguig",
  "province": "Metro Manila",
  "titleStatus": "CCT",
  "furnishing": "Semi-Furnished",
  "subdivision": null,
  "developerName": "Alveo Land",
  "projectName": "Park Triangle Residences",
  "agentName": "Maria Reyes",
  "agentLicenseNo": "PRC#0099999",
  "agencyName": "Leechiu Property Consultants",
  "contactPhone": "09171234567",
  "amenities": [
    "Swimming Pool", "Gym", "24/7 Security", "CCTV",
    "Function Room", "Sky Lounge", "Concierge", "Parking"
  ],
  "description": "Brand new bare-shell 2-bedroom corner unit in the heart of BGC. Floor-to-ceiling windows, full city and Manila Bay sunset views. One parking slot included. Walking distance to Bonifacio High Street, Mind Museum, and SM Aura.",
  "images": [
    "https://static-ph.lamudi.com/static/media/abc123.jpg",
    "https://static-ph.lamudi.com/static/media/def456.jpg"
  ],
  "listingUrl": "https://www.lamudi.com.ph/property/47829163.html",
  "postedDate": "2026-04-22",
  "scrapedAt": "2026-05-16T08:30:00.000Z"
}

Example: House & Lot in Quezon City

{
  "listingId": "39112847",
  "title": "Brand New 4BR House and Lot in Loyola Heights, Quezon City",
  "listingType": "For Sale",
  "propertyType": "House and Lot",
  "price": 35000000,
  "currency": "PHP",
  "pricePerSqm": 145833,
  "bedrooms": 4,
  "bathrooms": 4,
  "floorArea": 240,
  "lotArea": 320,
  "barangay": "Loyola Heights",
  "city": "Quezon City",
  "province": "Metro Manila",
  "titleStatus": "Clean Title",
  "furnishing": "Unfurnished",
  "subdivision": "Loyola Grand Villas",
  "developerName": null,
  "projectName": null,
  "agentName": "Juan dela Cruz",
  "agentLicenseNo": "PRC#0088888",
  "agencyName": "RE/MAX Capital",
  "contactPhone": "09181234567",
  "amenities": ["24/7 Security", "Guard", "Clubhouse", "Pool", "Tennis Court"],
  "description": "Newly built 3-storey single attached house inside the exclusive Loyola Grand Villas. Five-minute drive to Ateneo, UP Diliman, and Katipunan.",
  "images": ["https://static-ph.lamudi.com/static/media/qc123.jpg"],
  "listingUrl": "https://www.lamudi.com.ph/property/39112847.html",
  "postedDate": "2026-05-02",
  "scrapedAt": "2026-05-16T08:32:14.000Z"
}

---

Property Type Reference

Lamudi Category	Output propertyType	Typical Filipino market context
Condominium	Condominium	Vertical living in Makati, BGC, Ortigas, Cebu IT Park — driven by SMDC, DMCI, Megaworld
House & Lot	House and Lot	Subdivision homes — Ayala Alabang, Loyola Heights, Antipolo, Greenhills
House (no lot)	House	Townhouse-like units without a separate lot title
Townhouse	Townhouse	Row homes — Parañaque, Las Piñas, Marikina
Apartment	Apartment	Walk-up rental units, common in QC and Manila
Land / Lot	Land	Vacant residential, agricultural, beachfront, commercial lots
Commercial	Commercial	Office space, BPO floors, retail, mixed-use podiums
Warehouse	Warehouse	Logistics property — Laguna, Cavite industrial parks
Studio	Studio	Small condos targeting OFW investors / BPO renters

Title Status Reference

Status	Meaning
Clean Title	No liens, no encumbrances, original-owner title — buyer's preference
TCT	Transfer Certificate of Title — standard title for House & Lot
CCT	Condominium Certificate of Title — standard title for condo units
Tax Declaration	Untitled land, only tax-declared — common in provincial lots, lower price

---

Use Cases

OFW Investor Research

The Philippines has roughly 10 million Overseas Filipino Workers, and real-estate purchase is the single most common long-term investment. Diaspora investors and the family offices that serve them use this dataset to:

• Track presale launches by SMDC, DMCI, Megaworld, and Ayala Land for OFW deposit windows in Dubai, Riyadh, Hong Kong, and London
• Build comparative pricing tables across Makati / BGC / Ortigas / QC before committing to a downpayment
• Filter for ready-for-occupancy (RFO) units only vs. preselling, to match remittance timing
• Monitor secondary-market resale of older Ayala and Rockwell condos to time exits
• Compare rental yields city-by-city to project monthly returns

Philippine Prop-Tech & Listing Aggregators

PH-based prop-tech startups (rental marketplaces, AI valuation engines, mortgage marketplaces) use Lamudi as a backbone dataset to:

• Bootstrap listing inventory at launch without negotiating ten broker integrations
• Train pricing models on real Makati condo per-sqm prices and Cebu beachfront benchmarks
• Enrich rental marketplaces with full Lamudi metadata when brokers post short listings
• Build comparable-sales (CMA) tools for licensed Philippine brokers
• Power "find my home" recommendation engines with structured price/bedroom/barangay filters

Condo Presale Comps & Developer Intelligence

Real estate consultants serving Ayala, Megaworld, SMDC, Federal Land, Rockwell, and Robinsons Land use the data to:

• Benchmark presale prices per sqm in BGC, Makati, Ortigas, and Cebu IT Park against the competition
• Track absorption velocity by comparing weekly listing counts per project
• Monitor competitor pricing changes mid-launch (early-bird vs. full launch)
• Identify gaps in the market — for example studio inventory by barangay
• Brief developer sales teams with weekly market intelligence reports

BPO Relocation & Employee Housing

The Philippines is the world's #2 BPO hub. HR and facilities teams at major BPOs (Accenture, Concentrix, TaskUs, TDCX, Sutherland) and shared-services centres use this data to:

• Source bulk rental inventory within walking distance of Makati, Eastwood, Ortigas, Cebu IT Park, and Iloilo Plaza Independencia
• Provide relocation packages for senior hires with structured price/amenity data
• Build internal housing portals for new-grad agents during onboarding
• Negotiate corporate leases with comparable-market data in hand
• Coordinate dorm-style accommodation near 24/7 BPO sites

Mortgage Brokers & Bank Property Intelligence

PH banks (BDO, BPI, Metrobank, Security Bank, RCBC) and mortgage brokerages use Lamudi data for:

• Loan-to-value reasonability checks — does the borrower's purchase price match market for that barangay?
• Branch-pipeline lead generation — call agents listing properties under ₱10M with no posted bank-financing partner
• Foreclosure asset comparable sales — verify ROPA disposal pricing against active market
• Pre-approval marketing — target brokers handling high-value developer projects
• Borrower property verification — confirm the listing matches the loan application

Foreign Direct Investment & Embassy Research

Foreign chambers of commerce, embassies, expat consultancies, and relocation firms covering the Philippines use the dataset to:

• Build expat housing guides with current rent levels in Makati, BGC, and Salcedo Village
• Brief corporate clients on cost-of-living for relocation packages
• Map foreign-friendly buildings by amenity (gym, pool, concierge) and price band
• Track foreign-investor restrictions by property type (condos OK, land restricted)
• Support international school catchment analysis with nearby inventory

Real Estate Journalism & Data Reporting

Business journalists at Inquirer, BusinessWorld, Manila Bulletin, ABS-CBN, GMA, and Rappler use Lamudi data to:

• Report on Manila price-per-sqm trends with hard quarterly numbers
• Cover post-typhoon market shifts in affected provinces
• Investigate luxury market dynamics (₱100M+ Forbes Park listings)
• Track POGO-pullout impact on Pasay, Parañaque, and BGC condo vacancy and rent
• Document affordable housing gaps in Metro Manila and Cebu

Insurance Underwriting & Property Valuation

Non-life insurers (Pioneer, Malayan, FPG, Standard) and appraisal firms use the data to:

• Underwrite homeowner / condo coverage with verified replacement-cost benchmarks
• Estimate flood-zone property values in low-lying Marikina, Malabon, Navotas
• Build catastrophe-modelling inputs with structured price per barangay
• Calibrate professional indemnity policies for PRC-licensed brokers

Academic & Public-Policy Research

Universities (Ateneo, UP, La Salle, UST) and policy think tanks use the data to:

• Study housing affordability for the Philippine middle class
• Map gentrification patterns in QC, Cubao, Cubao-Araneta, Poblacion Makati
• Quantify rental burden vs. minimum wage in Metro Manila and Cebu
• Inform DHSUD (Department of Human Settlements and Urban Development) policy with empirical data
• Cross-reference census data with current housing supply

---

Sample Queries & Recipes

Recipe 1: BGC and Makati condos for sale, ₱10M–₱30M segment

{
  "listingType": "buy",
  "propertyType": "condominium",
  "cities": ["taguig", "makati"],
  "scrapeDetails": true,
  "maxRecords": 500
}

Post-filter on price between 10000000 and 30000000 downstream.

Recipe 2: Cebu beachfront and resort lots

{
  "listingType": "buy",
  "propertyType": "land",
  "cities": ["cebu", "lapu-lapu", "mactan", "moalboal"],
  "scrapeDetails": true,
  "maxRecords": 300
}

Recipe 3: Quezon City house-and-lot family homes

{
  "listingType": "buy",
  "propertyType": "house",
  "cities": ["quezon-city", "marikina", "antipolo"],
  "scrapeDetails": true,
  "maxRecords": 400
}

Recipe 4: Studio condos for rent (OFW investor leaseback)

{
  "listingType": "rent",
  "propertyType": "condominium",
  "cities": ["makati", "taguig", "pasig", "mandaluyong", "quezon-city"],
  "maxRecords": 1000
}

Post-filter on bedrooms == 0 for studios.

Recipe 5: Davao and CDO regional inventory snapshot

{
  "listingType": "all",
  "propertyType": "all",
  "cities": ["davao-city", "cagayan-de-oro"],
  "scrapeDetails": false,
  "maxRecords": 600
}

Recipe 6: Tagaytay weekend-home + Batangas beach sample

{
  "listingType": "buy",
  "propertyType": "house",
  "cities": ["tagaytay", "batangas", "nasugbu", "calatagan"],
  "scrapeDetails": true,
  "maxRecords": 250
}

Recipe 7: Commercial office space in Ortigas & Makati CBD

{
  "listingType": "rent",
  "propertyType": "commercial",
  "cities": ["pasig", "makati", "taguig"],
  "scrapeDetails": true,
  "maxRecords": 200
}

Recipe 8: Quick sample — 50 records to validate before a large scrape

{
  "listingType": "buy",
  "propertyType": "condominium",
  "cities": ["makati"],
  "maxRecords": 50,
  "maxPages": 2
}

---

Integration Examples

Google Sheets (via Apify Integration)

1. Schedule the actor daily at 7:00 AM Philippine Time
2. Add the "Export to Google Sheets" integration to the schedule
3. Each morning the Sheet refreshes with the latest Lamudi inventory for your watch list

Make.com / Zapier / n8n

Use the Apify connector. Common automations:

• New-listing alerts — diff today's run vs. yesterday's, push fresh listings to Slack #bgc-condo-watch
• Price-drop alerts — flag any listing whose price dropped by more than 5%
• Lead routing — when a Forbes Park or Bel-Air listing appears, send to the luxury sales pod in Salesforce
• Agency CRM enrichment — when a PRC-licensed broker posts new inventory, enrich the broker record in HubSpot

Power BI / Tableau / Looker / Metabase

Connect the Apify REST API as a data source. Refresh on the actor schedule. Build dashboards covering:

• Median PHP price per sqm by barangay / city
• Inventory by developer (SMDC, Ayala, Megaworld, DMCI, Robinsons)
• Rent vs. sale gross-yield map of Metro Manila
• Listing aging — how long inventory sits before delisting
• Furnishing mix across condo segments

Postgres / Snowflake / BigQuery / Databricks

Use the Apify webhook integration to POST run datasets to your warehouse ingestion endpoint after every scheduled run. The flat JSON schema maps cleanly to a single lamudi_listings table — listingId is your natural key.

Salesforce / HubSpot / Pipedrive CRM

Enrich Account / Contact records for PRC-licensed brokers. When an agent's listing count or price band changes materially, fire a Task to your business-development rep. Use agentLicenseNo as the join key.

Slack / Microsoft Teams

Pipe new-listing alerts directly to channels: #bgc-pre-sale-watch, #cebu-beach-lots, #qc-family-home, #commercial-makati.

---

Major Philippine Markets at a Glance

Market	Region	Property mix	Notable for
Makati CBD	Metro Manila	Premium condos, offices	Salcedo & Legaspi Village, Ayala-developed CBD, oldest financial district
BGC (Taguig)	Metro Manila	New-build condos, offices, retail	Bonifacio Global City — masterplanned by Ayala; Park Triangle, Uptown, Grand Hyatt
Ortigas (Pasig & Mandaluyong)	Metro Manila	Condos, offices, mid-range	Megaworld and Robinsons Land territory, BPO hub
Quezon City	Metro Manila	House & lot, mid-range condos	Largest LGU by population; Loyola Heights, Greenhills, Cubao
Alabang / Muntinlupa	Metro Manila	Premium subdivisions, mid-rise	Ayala Alabang, Filinvest City, BPO south corridor
Pasay & Parañaque	Metro Manila	Bayfront condos, mixed-use	Entertainment City (PAGCOR), MOA complex, near NAIA
Mandaluyong	Metro Manila	Mid-range condos	EDSA-Shaw corridor, mid-rise inventory
Cebu City & Mactan	Visayas	Resort condos, beachfront	Cebu IT Park, Cebu Business Park, Mactan beach resorts
Davao City	Mindanao	House & lot, mid-range condos	Largest city by land area; Megaworld Davao, growing BPO
Cagayan de Oro	Mindanao	Mid-range condos, lots	Northern Mindanao hub
Iloilo City	Visayas	Condos, BPO-driven rentals	Megaworld Iloilo Business Park
Baguio	Cordillera (Luzon)	Vacation condos, cool-climate homes	Summer capital, high tourism
Tagaytay	Cavite	Vacation condos & lots	Weekend-home market for Metro Manila
Batangas (Nasugbu, Calatagan)	Calabarzon	Beachfront houses, resorts	Premium beach property near Manila
Cavite & Laguna	Calabarzon	Affordable subdivisions, industrial	Bedroom communities, industrial parks
Bulacan & Pampanga	Central Luzon	Lots, mid-market homes	New Manila International Airport, Clark corridor

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Cost & Performance

Metric	Value
Engine	Playwright Chromium with stealth patches
Runtime (50 listings, no details)	2–4 minutes
Runtime (500 listings, with details)	30–50 minutes
Runtime (5,000 listings, no details)	~1.5 hours
Pricing model	Pay-per-event (per started run + per dataset item)
Data freshness	Live — Lamudi listings at request time
Auth required	None
Proxy required	Apify residential recommended for >500 records
Concurrency	Safe to run multiple parallel city/property-type configurations
Memory footprint	1024 MB recommended (configurable up to 4096 MB)

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Compliance, Privacy & Legal Notes

• Public data only — every field exposed by this actor is publicly visible to any logged-out visitor of lamudi.com.ph
• No login / no scraping behind authentication — the actor never requests credentials and does not access private listings, message inboxes, or saved-search dashboards
• No personal data beyond public contact — agent name, agency, PRC licence, and the contact phone number the broker chose to publish for solicitations are the only person-level fields; no buyer/lead data, no payment info, no government IDs
• PRC licence numbers are public under the Professional Regulation Modernization Act of 2000 and are routinely published by brokers themselves on listing pages
• Defer to Lamudi's robots.txt and Terms of Use — Lamudi expects automated traffic to be polite (this actor uses 2.5-second base delays and honours Cloudflare WAF challenges); for high-volume commercial republishing seek a direct data partnership with Lamudi
• Data Privacy Act of 2012 (RA 10173) compliance is the responsibility of the data consumer when using broker contact information for marketing — provide an opt-out, do not enrol agents in unsolicited mass campaigns without lawful basis
• No PII / no PHI / no payment data — this is property listing metadata
• GDPR / CCPA caveats apply only if you process the data for EU / California residents; consult your DPO

Important: Listings may not be used for unlawful purposes including fraud, deceptive marketing, or harassment of brokers. Always cite Lamudi as the source when republishing aggregate data.

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Frequently Asked Questions

How fresh is the data?

Live at run time. Lamudi listings change as brokers post, edit, or delist; this actor scrapes the current state of search results when you trigger a run. Schedule the actor daily, hourly, or on any cron expression for a continuously updated feed.

How many records will I get?

Lamudi's nationwide inventory runs in the tens of thousands of active listings at any moment. A single unfiltered nationwide run is bounded by maxRecords (defaults to unlimited) and pagination depth (~30 listings per page). Use city + property-type filters to scope your run.

Does this require a Lamudi account or API key?

No. Lamudi listing data is fully public. You only need an Apify account to run the actor.

Does Lamudi block scrapers?

Lamudi sits behind Cloudflare. The actor includes stealth patches (webdriver mask, locale en-PH, Asia/Manila timezone), residential proxy rotation, polite request pacing, and an explicit "Just a moment..." challenge handler. For sustained large-volume scraping use the default RESIDENTIAL proxy group.

Can I filter by price range, bedroom count, or amenity?

The actor scrapes whatever search URL you point it at. Either:

1. Set filters on Lamudi.com.ph yourself, copy the URL, and pass it via startUrls, or
2. Post-filter the JSON output in your stack (SQL WHERE, pandas, Sheets filter)

The second approach is more flexible and lets you store a complete dataset and slice it many ways later.

Are agent phone numbers and PRC licences always returned?

Only with scrapeDetails: true. The list-page view does not expose phone numbers; the detail page does. PRC licences appear when the broker has chosen to publish them in their listing bio (most professional brokers do).

Does it work in Cebu, Davao, and provincial cities?

Yes. Pass the city slug: cebu, cebu-city, lapu-lapu, mandaue, davao-city, cagayan-de-oro, iloilo-city, bacolod, baguio, tagaytay, batangas. Empty cities returns nationwide inventory.

Does it support For-Rent listings?

Yes. Set listingType: "rent". Set "all" to capture both Buy and Rent in one run.

Can I get historical price snapshots?

Not directly from Lamudi — they don't expose listing price history. Build your own by scheduling the actor daily and archiving each dataset; Apify retains datasets indefinitely on most plans, so you can diff price changes over time.

Does it parse the barangay separately from the city?

Yes — the actor splits "Bel-Air, Makati City, Metro Manila" into barangay: "Bel-Air", city: "Makati", province: "Metro Manila". Detail-page enrichment also tries to read an explicit Barangay: field when present.

How is the price normalised?

Prices are stripped of ₱, PHP, Php, commas, and currency suffixes, then parsed to a plain number in PHP. Listings priced in USD or SGD (rare, mostly luxury) retain currency as the source code.

Does it deduplicate?

Yes. Within a single run, duplicate listings (same listingId or URL) are filtered. Across runs you can dedup on listingId in your warehouse.

Does this actor work on the Apify Free Plan?

Yes — full functionality. A 100-listing run with details typically costs cents.

Can I run this on a schedule?

Yes — Apify's built-in Scheduler supports hourly, daily, weekly, or any cron expression. Combine with webhook output for full automation.

What export formats are supported?

JSON, JSON Lines, CSV, Excel (XLSX), HTML, XML, and RSS — directly from the Apify dataset view or REST API.

What if a run hits a Cloudflare challenge?

The actor's WAF detector retries up to six times with 5-second backoffs. For repeated challenges, increase requestDelay to 3,500–4,500 ms and ensure RESIDENTIAL proxy group is selected.

Can I scrape a single listing detail?

Pass the listing URL via startUrls with scrapeDetails: true. The actor will treat it as a single-item search.

Is there a sister actor for other Southeast Asian / emerging markets?

Yes — see the Related Actors section for Cambodia (Realestate.com.kh), Pakistan (Zameen), Brazil (VivaReal, ZAP Imóveis), Vietnam (Chợ Tốt), Malaysia (Lelong marketplace), Belgium (Immoweb), Australia (Domain), and Canada (Realtor.ca).

Does this replace the Lamudi API?

Lamudi does not publish a public API for listings — this actor is the practical Lamudi API alternative for structured access.

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Related Apify Actors by Haketa

Building a multi-country property dataset or pairing PH listings with Southeast Asian classifieds? These sibling actors share schema conventions:

• Realestate.com.kh Cambodia Scraper — Phnom Penh, Sihanoukville, Siem Reap real estate
• Zameen.com Pakistan Real Estate Scraper — Karachi, Lahore, Islamabad property
• VivaReal Brazil Real Estate Scraper — São Paulo, Rio, Belo Horizonte listings
• ZAP Imóveis Brazil Scraper — Brazil's largest property portal
• Realtor.ca Canadian Real Estate Scraper — full CREA-feed Canadian inventory
• Domain.com.au Property Scraper — Sydney, Melbourne, Brisbane, Perth
• Immoweb.be Belgium Real Estate Scraper — Brussels, Antwerp, Ghent, Liège
• Apartments.com Scraper (US) — US rental inventory
• Rent.com Scraper (US) — US rental marketplace
• Chotot.com Vietnam Scraper — Vietnam's largest classifieds, incl. property
• Lelong.my Scraper (Malaysia) — Malaysia's veteran online marketplace (electronics, fashion, auto parts)
• Mourjan MENA Classifieds Scraper — GCC and Levant classifieds

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Comparison vs. Alternatives

Approach	Setup time	Data freshness	Cost (1,000 listings)	Schema normalisation	Cloudflare-safe
This actor	< 5 minutes	Live at run	~$4	Built-in	Yes
Manual copy-paste from Lamudi	Days	Stale	Free + labour	None	n/a
DIY Python + Playwright	2–4 weeks dev	Live	Free + infra + proxy bill	DIY	DIY (high risk)
Hiring a freelance scraper	Days	Live initially	$500–$2,000 + maintenance	Variable	Variable
Buying a private data feed	Weeks of contracts	Daily	$1k–$10k / month	Yes	n/a
The deprecated legacy Lamudi actor	n/a	Broken	n/a	No	No

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Why Pay-Per-Event Pricing?

This actor uses pay-per-event pricing — you only pay when the actor runs, scaled to the data you actually consume:

• Only pay when the actor runs — no monthly fees, no minimums
• Charges scale with how many listings you actually pull
• Transparent line-item billing in the Apify console
• Free to evaluate — sample with maxRecords: 25 for pennies
• Predictable unit economics for production pipelines

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Changelog

Version	Date	Notes
1.0.0	2026-05	Initial public release — Playwright stealth, JSON-LD + DOM dual extraction, PHP price parser, barangay-level location split, PRC licence regex, detail-page enrichment, 7 property types, all PH cities

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Keywords

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Support

• Bug reports: Use the Issues tab on the Apify Store page
• Feature requests: Same place — please describe your use case so we can prioritise
• Direct contact: Through the Apify developer profile

If this actor saves your team time on Philippine real estate research, a 5-star rating on the Apify Store helps other PH prop-tech, OFW investor, and BPO relocation teams discover it. Salamat!