Lamudi Philippines Property Scraper

Extract structured property listing data from Lamudi Philippines quickly and reliably. Collect houses and other property categories with pricing, location, media links, and listing metadata in a clean dataset. Ideal for market monitoring, lead research, and property analytics workflows.

Features

• High-volume listing collection — Collect large batches of listing records in a single run.
• Automatic deduplication — Prevent duplicate listing entries across collected results.
• Clean output records — Empty and null fields are removed before data is saved.
• Rich listing fields — Capture pricing, area, rooms, media, agency, tags, and geolocation.
• Production-friendly input controls — Limit run size with configurable result and page caps.

Use Cases

Real Estate Market Monitoring

Track house listing prices and supply changes across different areas in the Philippines. Build recurring snapshots for trend analysis and reporting.

Lead Sourcing

Collect listing URLs, agency names, and listing identifiers for outreach and business development pipelines. Use the output as a ready-to-use lead dataset.

Price Intelligence

Analyze price distribution by location, bedroom count, and area size. Spot underpriced or premium listings faster.

Content and Listing Research

Gather listing descriptions, tags, and listing attributes for editorial research, marketplace benchmarking, or listing quality checks.

Data Enrichment Pipelines

Feed structured listing records into downstream dashboards, BI tools, or CRMs for automation and reporting.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	Yes	https://www.lamudi.com.ph/buy/house/	Lamudi Philippines catalog URL to start from.
results_wanted	Integer	No	20	Maximum number of listing items to save.
max_pages	Integer	No	3	Maximum number of pages to process in one run.
proxyConfiguration	Object	No	{"useApifyProxy": true}	Proxy settings for stable data collection.

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Output Data

Each item in the dataset may contain:

Field	Type	Description
id	String	Listing identifier.
title	String	Listing title.
url	String	Full listing URL.
purpose	String	Listing purpose inferred from catalog path (for example buy).
category	String	Property category inferred from catalog path (for example house).
price	Number	Numeric listing price.
priceText	String	Formatted price text.
bedrooms	Number	Number of bedrooms.
bathrooms	Number	Number of bathrooms.
area	Number	Numeric area value.
areaText	String	Raw area text from listing.
carSpaces	Number	Number of car spaces when available.
location	String	Listing location text.
latitude	Number	Latitude value when available.
longitude	Number	Longitude value when available.
photoCount	Number	Number of listing images.
coverPhotoUrl	String	Cover image URL.
imageUrl	String	Primary listing image URL (direct string field).
imageUrls	Array	Image URL list.
description	String	Listing description text.
agentName	String	Agency or agent display name.
agencyData	Object	Agency metadata from listing source.
tags	Object	Listing tag metadata.
tagLabels	Array	Human-readable tag labels.
_sourceUrl	String	Source catalog URL used for extraction.

Fields with empty values are omitted from output records.

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Usage Examples

Basic House Listing Run

{
  "startUrl": "https://www.lamudi.com.ph/buy/house/",
  "results_wanted": 20,
  "max_pages": 3
}

Metro Manila Houses

{
  "startUrl": "https://www.lamudi.com.ph/buy/metro-manila/house/",
  "results_wanted": 50,
  "max_pages": 5
}

Condo Listings

{
  "startUrl": "https://www.lamudi.com.ph/buy/condo/",
  "results_wanted": 40,
  "max_pages": 4
}

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Sample Output

{
  "id": "41032-73-5002cbdb0e7c-e64c-ef33f2d4-ab01-501d",
  "title": "3 Bedroom House for Sale Ashton Fields Iris Model",
  "url": "https://www.lamudi.com.ph/property/41032-73-5002cbdb0e7c-e64c-ef33f2d4-ab01-501d",
  "purpose": "buy",
  "category": "house",
  "price": 5430000,
  "priceText": "₱ 5,430,000",
  "bedrooms": 3,
  "bathrooms": 1,
  "area": 62,
  "areaText": "62 sqm",
  "location": "Tulo, Calamba",
  "photoCount": 24,
  "coverPhotoUrl": "https://img.lamudi.com/...",
  "imageUrl": "https://img.lamudi.com/...",
  "imageUrls": [
    "https://img.lamudi.com/..."
  ],
  "description": "Price range: ₱5,430,000.00 - ₱5,800,000.00 Lot area range: 110.00sqm - 130.00sqm",
  "agentName": "Aspire by Filinvest",
  "_sourceUrl": "https://www.lamudi.com.ph/buy/house/"
}

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Tips for Best Results

Start with Focused URLs

• Use a filtered catalog URL (city, property type, budget range) to get targeted output.
• Validate the URL in browser before running large jobs.

Keep Runs Efficient

• Start with results_wanted: 20 for quick validation.
• Increase limits after confirming output quality.

Improve Reliability

• Keep proxy usage enabled for repeat runs and larger collections.
• Run multiple smaller jobs instead of one extremely large run when monitoring data regularly.

Work with Clean Data

• Output records already exclude empty fields.
• Build downstream pipelines expecting optional fields that may appear only when available.

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Integrations

Connect your data with:

• Google Sheets — Analyze listings in spreadsheet workflows.
• Airtable — Build searchable listing databases.
• Slack — Send run summaries or listing alerts.
• Make — Trigger automated processing pipelines.
• Zapier — Connect listing output to CRM and marketing tools.

Export Formats

• JSON — For APIs, scripts, and custom apps.
• CSV — For spreadsheet analysis.
• Excel — For business reporting.
• XML — For legacy system imports.

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Frequently Asked Questions

How many listings can I collect in one run?

You can collect up to your configured results_wanted limit. Actual availability depends on the selected catalog URL and listing supply.

Why are some fields missing in certain records?

If a listing does not provide a field, that field is omitted from output. This keeps records clean and avoids null-heavy datasets.

Can I use this for categories other than houses?

Yes. Use any compatible Lamudi Philippines catalog URL such as condo, apartment, land, or commercial categories.

Does the actor avoid duplicate records?

Yes. Duplicate listing IDs are filtered during collection to keep results unique.

Can I schedule this actor for recurring monitoring?

Yes. You can run it on schedules and compare dataset snapshots over time for trend tracking.

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Support

For issues or feature requests, use the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is intended for legitimate data collection and analysis use cases. Users are responsible for ensuring compliance with website terms and applicable laws in their jurisdiction.