Rumah123.com Property Search Scraper: Extract Indonesian Real Estate Data

Understanding Rumah123.com and Its Real Estate Market Value

Rumah123.com is Indonesia's premier online property marketplace, connecting buyers, sellers, and renters across the archipelago. As part of PropertyGuru Group, it dominates the Indonesian real estate digital landscape with millions of listings spanning residential, commercial, and investment properties.

The platform captures unique insights into Southeast Asia's fastest-growing property market: pricing trends across Jakarta, Surabaya, Bali, and emerging cities; agent activity patterns; property type preferences; and market inventory dynamics. For investors analyzing Indonesian real estate, agencies managing portfolios, or PropTech platforms building aggregators, Rumah123 data provides unmatched market intelligence.

Manual data collection across thousands of listings, multiple cities, and various property types would consume hundreds of hours. This scraper automates the process, converting search result pages into structured datasets ready for analysis, price modeling, or competitive monitoring.

What This Scraper Extracts and Target Users

The Rumah123.com Property Search Scraper processes search result pages—the listings displayed after filtering by location, property type, or price range. It captures essential property information from overview cards without requiring individual detail page visits, making it efficient for broad market scans.

Key Data Extracted:

Property Identifiers: Slug, UUID, and origin ID enable unique property tracking, deduplication across scrapes, and linking to external data sources.

Pricing Intelligence: Price, price type (total/per meter), installment options, and price drop indicators reveal market positioning, affordability structures, and pricing strategies.

Location Data: Location, location pin (coordinates), and geo-tagged information enable geographic analysis, proximity mapping, and market segmentation by district or neighborhood.

Property Characteristics: Property type (house, apartment, land, commercial), attributes (bedrooms, bathrooms, land size, building size), and primary project associations classify listings for targeted analysis.

Agent & Partnership Info: Agent details, property partner data, and co-broke indicators identify key market players, agency activity levels, and collaboration networks.

Market Positioning: Subscription tier ID, subscription type, GTS labels, and special flags reveal premium listings, featured placements, and seller investment in visibility.

Media Assets: Property images and media arrays provide visual content for display platforms or image analysis algorithms.

Listing Metadata: Time posted, repost status, and instance info track listing freshness, seller persistence, and market dynamics.

Rental-Specific Data: Rent type, additional rent types, and rent prices structure rental market analysis separately from sales.

Target Users:

Real Estate Investors analyze pricing trends, identify undervalued properties, and track market supply across Indonesian cities. Property Agencies monitor competitor listings, benchmark pricing, and identify partnership opportunities through co-broke data. Market Research Firms track inventory levels, pricing movements, and regional development patterns. PropTech Platforms aggregate listings for comparison sites, price estimation models, or automated valuation systems. Financial Institutions assess market conditions for mortgage products and real estate loan portfolios.

Input Configuration: Targeting Property Search Pages

The scraper processes Rumah123 search result URLs—pages showing multiple property listings after applying filters. These differ from individual property detail pages.

Example Input Configuration:

{
  "proxy": {
    "useApifyProxy": false
  },
  "max_items_per_url": 20,
  "ignore_url_failures": true,
  "urls": [
    "https://www.rumah123.com/jual/cari/?page=2"
  ]
}

Example Screenshot:

Parameter Details:

proxy configuration: Set useApifyProxy: false if Rumah123 doesn't aggressively block scrapers. Enable residential proxies (useApifyProxy: true with "apifyProxyGroups": ["RESIDENTIAL"]) if experiencing access issues or scraping at scale.

max_items_per_url: Controls listings extracted per search page. Rumah123 typically displays 20-30 properties per page, so setting this to 20 captures most results. Increase to 50 for comprehensive extraction when pages contain more listings.

ignore_url_failures: Set true when scraping multiple search pages—individual failures won't halt the entire job. Critical for large-scale market scans across many locations or property types.

urls array: Contains search result page URLs. Build these by performing searches on Rumah123 (filter by city, property type, price range) and copying the resulting URLs. Include pagination URLs (?page=2, ?page=3) for comprehensive data collection.

URL Construction Tips: Use Rumah123's filters to create targeted searches: /jual/ for sales, /sewa/ for rentals, /jakarta-selatan/ for specific areas, ?propertyType=apartment for property types. Combine filters for precise market segments.

Complete Output Structure: Field Definitions and Applications

The scraper returns JSON data with each property listing as an object. Understanding these fields enables effective market analysis.

Slug: URL-friendly property identifier (e.g., "apartment-sudirman-jakarta-abc123"). Purpose: Constructing detail page URLs, unique identification alongside UUID, SEO-friendly references.

Overview: Brief property summary from listing card. Purpose: Quick property understanding, keyword extraction, generating preview text for aggregation platforms.

Co Broke: Boolean indicating if co-brokerage is available. Purpose: Identifying collaboration opportunities for agents, mapping agency partnership networks, filtering agent-friendly listings.

GTS Label: "Good To See" or similar quality indicator assigned by platform. Purpose: Identifying premium or verified listings, quality filtering, understanding platform curation strategies.

Subscription Tier ID / Subscription Type ID: Numerical codes for seller's subscription level. Purpose: Distinguishing premium vs. basic listings, analyzing correlation between subscription level and time-to-sell, competitive intelligence on agent investments.

UUID: Universally unique identifier for property. Purpose: Primary key for databases, absolute deduplication, linking across multiple data sources or scrapes.

Instance Info: Technical metadata about listing instance. Purpose: Tracking listing versions, identifying updates or modifications, database management.

Origin ID / Project Origin ID: IDs linking to original listing source or parent project. Purpose: Connecting properties to developments, tracking project phases, developer activity analysis.

Price: Listing price in Indonesian Rupiah (IDR). Purpose: Core valuation data, price trend analysis, comparative market analysis, affordability studies.

Property Type: Category such as "rumah" (house), "apartemen" (apartment), "tanah" (land), "ruko" (shophouse). Purpose: Market segmentation, type-specific analysis, filtering for targeted searches.

Primary Project: Development or project name if part of larger complex. Purpose: Tracking developer projects, analyzing project-level pricing, identifying new developments.

Price Type: How price is expressed (total price, per square meter, negotiable). Purpose: Normalizing pricing data, understanding pricing strategies, regional comparison adjustments.

URL: Direct link to property detail page. Purpose: Accessing complete information, verification, sharing with clients or team members.

Title: Property headline from listing. Purpose: Search indexing, display in aggregation platforms, quick identification.

Short Description: Abbreviated property description from listing card. Purpose: Feature extraction, initial screening, generating summaries for comparison tools.

Location Pin: Coordinate object with latitude/longitude. Purpose: Map visualization, proximity analysis (distance to schools, offices, transport), geographic clustering.

Location: Structured location data (city, district, neighborhood). Purpose: Geographic market segmentation, location-based filtering, regional trend analysis.

Attributes: Object containing property specifications:

• Bedrooms (Kamar Tidur): Bedroom count for residential properties
• Bathrooms (Kamar Mandi): Bathroom count
• Land Size (Luas Tanah): Land area in square meters
• Building Size (Luas Bangunan): Built-up area in square meters
• Parking, Floors, etc.: Additional structural attributes

Purpose: Property comparison, price-per-square-meter calculations, matching buyer requirements, market standard analysis.

Installment / Installments: Financing options and payment plans. Purpose: Affordability analysis, understanding developer financing strategies, targeting buyers by payment capacity.

Medias: Array of property images and videos. Purpose: Visual content for display, image analysis (quality assessment, feature detection), enhancing listing presentations.

Price Drop: Boolean or percentage indicating recent price reduction. Purpose: Identifying motivated sellers, tracking market softening, deal-hunting for investors.

Special Flag: Promotional markers (hot listing, exclusive, urgent sale). Purpose: Prioritizing high-value opportunities, understanding seller urgency, competitive timing analysis.

Time: Listing post date or last update timestamp. Purpose: Freshness filtering, calculating days-on-market, inventory turnover analysis.

Agent: Agent information object including name, contact, agency affiliation. Purpose: Agent activity tracking, building agent networks, identifying top performers, contact management for outreach.

Additional Flags: Supplementary listing indicators (verified, featured, new). Purpose: Quality assessment, visibility analysis, platform algorithm understanding.

Auction: Boolean indicating if property is under auction. Purpose: Identifying distressed assets, investment opportunities, foreclosure market analysis.

Rent Type / Additional Rent Types: Rental period options (yearly, monthly, daily). Purpose: Rental market segmentation, targeting specific tenant types, seasonal rental analysis.

Property Partner: Partner organization or platform. Purpose: Tracking cross-platform listings, partnership network mapping, identifying exclusive sources.

Unregister Project: Status indicator for project registration. Purpose: Compliance filtering, risk assessment, quality control.

Rent Prices: Structured rental pricing data. Purpose: Rental yield calculations, rental vs. purchase analysis, investment return modeling.

Repost: Boolean indicating if listing was reposted. Purpose: Identifying stale inventory, seller persistence analysis, market demand indicators.

Sample Output:

[
  {
  "slug": "/properti/jakarta-selatan-tebet/unit-paling-murah-3-br-153m2-private-lift-high-zone-di-casa-grande-phase-2-kokas-aps7454662/",
  "overview": [
    "Cash Keras/KPA"
  ],
  "co_broke": null,
  "gts_label": null,
  "subscription_tier_id": null,
  "uuid": "81774fb6-4c32-4e19-ad3e-e778d46e7836",
  "instance_info": null,
  "subscription_type_id": null,
  "origin_id": null,
  "price": {
    "display": "Rp 5,5 Miliar",
    "offer": 5500000000,
    "min_value": 5500000000,
    "max_value": 5500000000,
    "offer_land_per_meter": 0,
    "offer_per_meter": 35947712,
    "display_offer_per_meter": "Rp 35,9 Juta",
    "market_valuation": null
  },
  "property_type": null,
  "primary_project": null,
  "price_type": null,
  "project_origin_id": null,
  "url": "/properti/jakarta-selatan/aps7454662/",
  "title": "Unit Paling Murah 3 BR 153m2 Private Lift, High Zone  di Casa Grande  Phase 2 Kokas",
  "short_description": null,
  "location_pin": null,
  "location": {
    "text": "Tebet, Jakarta Selatan",
    "province": {
      "id": "8de06376-49a3-4369-a01b-00085aefe766",
      "name": "DKI Jakarta"
    },
    "city": {
      "id": "fd7063ac-b425-49de-a925-abcc4a2aa2db",
      "name": "Jakarta Selatan"
    },
    "district": {
      "id": "75ad3e4a-04fb-49f0-8c92-8e0f5590097d",
      "name": "Tebet"
    }
  },
  "attributes": {
    "is_subsidy": null,
    "is_studio_type": {
      "name": "isStudioType",
      "label": "Tipe Studio",
      "value": "Tidak",
      "formatted_value": "Tidak"
    },
    "payment_method": {
      "name": "paymentMethod",
      "label": "Metode Pembayaran",
      "value": "Cash Keras, KPA",
      "formatted_value": "Cash Keras, KPA"
    },
    "bedrooms": {
      "name": "bedrooms",
      "label": "Kamar",
      "value": "3",
      "formatted_value": "3"
    },
    "carports": null,
    "bathrooms": {
      "name": "bathrooms",
      "label": "Kamar Mandi",
      "value": "2",
      "formatted_value": "2"
    },
    "land_size": null,
    "building_size": {
      "name": "buildingSize",
      "label": "Luas Bangunan",
      "value": "153",
      "formatted_value": "153 m²"
    },
    "building_name": {
      "name": "buildingName",
      "label": "Nama Bangunan",
      "value": "Casa Grande Residance",
      "formatted_value": "Casa Grande Residance"
    },
    "furnishing": {
      "name": "furnishing",
      "label": "Dilengkapi Perabotan",
      "value": "Furnished",
      "formatted_value": "Furnished"
    },
    "conditions": {
      "name": "conditions",
      "label": "Kondisi Properti",
      "value": "Bagus",
      "formatted_value": "Bagus"
    },
    "floors": {
      "name": "floors",
      "label": "Jumlah Lantai",
      "value": "28",
      "formatted_value": "28"
    },
    "maid_bedrooms": {
      "name": "maidBedrooms",
      "label": "Kamar Pembantu",
      "value": "1",
      "formatted_value": "1"
    },
    "maid_bathrooms": {
      "name": "maidBathrooms",
      "label": "Kamar Mandi Pembantu",
      "value": "1",
      "formatted_value": "1"
    },
    "certification": {
      "name": "certification",
      "label": "Sertifikat",
      "value": "7",
      "formatted_value": "Strata"
    },
    "phone_lines": null,
    "electricity": {
      "name": "electricity",
      "label": "Daya Listrik",
      "value": "11000",
      "formatted_value": "11000 Watt"
    },
    "facilities": null,
    "advertised_installment_per_month": null,
    "room_facilities": {
      "name": "roomFacilities",
      "label": "Fasilitas Apartemen",
      "value": "Tempat Jemuran, Telepon, Kolam Renang, CCTV, WIFI / Internet",
      "formatted_value": "Tempat Jemuran, Telepon, Kolam Renang, CCTV, WIFI / Internet"
    },
    "residential_facilities": {
      "name": "residentialFacilities",
      "label": "Fasilitas Lingkungan Apartemen",
      "value": "Taman, Kolam Renang, Keamanan, BBQ Spot, Restoran, Mini Market, Area Bermain, Parking Area",
      "formatted_value": "Taman, Kolam Renang, Keamanan, BBQ Spot, Restoran, Mini Market, Area Bermain, Parking Area"
    },
    "villa_facilities_general": null
  },
  "installment": {
    "value": "2.496e+07",
    "formatted_value": "Cicilan : Rp 24 Jutaan/bulan"
  },
  "installments": [
    {
      "amount": 26539997,
      "tenor": 20,
      "formatted_amount": "Rp 26 Jutaan",
      "formatted_tenor": "Tenor 20 Tahun"
    },
    {
      "amount": 34140866,
      "tenor": 15,
      "formatted_amount": "Rp 34 Jutaan",
      "formatted_tenor": "Tenor 15 Tahun"
    }
  ],
  "medias": [
    {
      "media_type": "REGULAR",
      "media_info": [
        {
          "format_url": "https://picture.rumah123.com/r123-images/{width}x{height}-{scale}/customer/908895/fba8c3f0cf78295e636435ea47b1204b.jpg",
          "title": "",
          "media_url": "https://picture.rumah123.com/r123-images/1080x720-fit/customer/908895/fba8c3f0cf78295e636435ea47b1204b.jpg"
        },
        {
          "format_url": "https://picture.rumah123.com/r123-images/{width}x{height}-{scale}/customer/908895/fec86b7ca94b7f5ab52c39c64440e39c.jpg",
          "title": "",
          "media_url": "https://picture.rumah123.com/r123-images/1080x720-fit/customer/908895/fec86b7ca94b7f5ab52c39c64440e39c.jpg"
        },
        {
          "format_url": "https://picture.rumah123.com/r123-images/{width}x{height}-{scale}/customer/908895/08f733f2285640b5541bfcb421d22e77.jpg",
          "title": "",
          "media_url": "https://picture.rumah123.com/r123-images/1080x720-fit/customer/908895/08f733f2285640b5541bfcb421d22e77.jpg"
        },
        {
          "format_url": "https://picture.rumah123.com/r123-images/{width}x{height}-{scale}/customer/908895/4c6e2180897c9a633104b532fbf4d8ee.jpg",
          "title": "",
          "media_url": "https://picture.rumah123.com/r123-images/1080x720-fit/customer/908895/4c6e2180897c9a633104b532fbf4d8ee.jpg"
        },
        {
          "format_url": "https://picture.rumah123.com/r123-images/{width}x{height}-{scale}/customer/908895/985e8567e8e79e55d7c2c223b0968733.jpg",
          "title": "",
          "media_url": "https://picture.rumah123.com/r123-images/1080x720-fit/customer/908895/985e8567e8e79e55d7c2c223b0968733.jpg"
        },
        {
          "format_url": "https://picture.rumah123.com/r123-images/{width}x{height}-{scale}/customer/908895/a30cbd4bab9ad83ef7d69ac3e2d895dd.jpg",
          "title": "",
          "media_url": "https://picture.rumah123.com/r123-images/1080x720-fit/customer/908895/a30cbd4bab9ad83ef7d69ac3e2d895dd.jpg"
        },
        {
          "format_url": "https://picture.rumah123.com/r123-images/{width}x{height}-{scale}/customer/908895/a630c6e35f88d4e6288d4ce2d30d6cc7.jpg",
          "title": "",
          "media_url": "https://picture.rumah123.com/r123-images/1080x720-fit/customer/908895/a630c6e35f88d4e6288d4ce2d30d6cc7.jpg"
        },
        {
          "format_url": "https://picture.rumah123.com/r123-images/{width}x{height}-{scale}/customer/908895/0e64651f73a4fad1583301476966aaa7.jpg",
          "title": "",
          "media_url": "https://picture.rumah123.com/r123-images/1080x720-fit/customer/908895/0e64651f73a4fad1583301476966aaa7.jpg"
        },
        {
          "format_url": "https://picture.rumah123.com/r123-images/{width}x{height}-{scale}/customer/908895/d72e89fc67c6307ce78c026cdacda60e.jpg",
          "title": "",
          "media_url": "https://picture.rumah123.com/r123-images/1080x720-fit/customer/908895/d72e89fc67c6307ce78c026cdacda60e.jpg"
        },
        {
          "format_url": "https://picture.rumah123.com/r123-images/{width}x{height}-{scale}/customer/908895/4eeb7dc26775e5f3d13819c70bbc5151.jpg",
          "title": "",
          "media_url": "https://picture.rumah123.com/r123-images/1080x720-fit/customer/908895/4eeb7dc26775e5f3d13819c70bbc5151.jpg"
        },
        {
          "format_url": "https://picture.rumah123.com/r123-images/{width}x{height}-{scale}/customer/908895/3973ec571af455cc78903e8690094225.jpg",
          "title": "",
          "media_url": "https://picture.rumah123.com/r123-images/1080x720-fit/customer/908895/3973ec571af455cc78903e8690094225.jpg"
        }
      ]
    },
    {
      "media_type": "COVER",
      "media_info": [
        {
          "format_url": "https://picture.rumah123.com/r123-images/{width}x{height}-{scale}/customer/908895/f82bc3cdecf94c3facb612f52173d001.jpg",
          "title": "",
          "media_url": "https://picture.rumah123.com/r123-images/1080x720-fit/customer/908895/f82bc3cdecf94c3facb612f52173d001.jpg"
        }
      ]
    }
  ],
  "price_drop": null,
  "special_flag": null,
  "time": {
    "posted": 1766811486,
    "created": 1765269259,
    "expire": 0,
    "updated": 1765269261
  },
  "agent": {
    "marketer_type": {
      "id": "MARKETERTYPE_OFFICIAL_DEVELOPER",
      "value": "Official Developer"
    },
    "name": "Anas Nababan",
    "user_type": 1,
    "origin_id": "908895",
    "uuid": "9948bcb4-eb9e-4f33-89e1-352f36f58f4d",
    "medias": [
      {
        "media_type_id": 0,
        "media_type": "REGULAR",
        "count": 1,
        "media_info": [
          {
            "media_url": "https://pic.rumah123.com/r123/250x250-fit/photo/908895/180/9088951692853964.jpg",
            "thumbnail_url": "https://pic.rumah123.com/r123/250x160-fit/photo/908895/180/9088951692853964.jpg",
            "format_url": "https://pic.rumah123.com/r123/{width}x{height}-{scale}/photo/908895/180/9088951692853964.jpg"
          }
        ]
      }
    ],
    "contacts": [
      {
        "contact_type": 5,
        "type": "WEBSITE",
        "value": "https://www.rumah123.com/agen-properti/strategic-property/anas-nababan-908895/"
      },
      {
        "contact_type": 1,
        "type": "EMAIL",
        "value": "anas.baban@gmail.com"
      },
      {
        "contact_type": 2,
        "type": "PHONE_NUMBER",
        "value": "+6281317710343"
      },
      {
        "contact_type": 2,
        "type": "PHONE_NUMBER",
        "value": "+6281317710343"
      },
      {
        "contact_type": 3,
        "type": "WHATSAPP",
        "value": "+6281317710343"
      }
    ],
    "attributes": {
      "is_home_owner": false
    },
    "organization": {
      "name": "Strategic Property",
      "medias": [
        {
          "media_type_id": 0,
          "media_type": "REGULAR",
          "count": 1,
          "media_info": [
            {
              "media_url": "https://pic.rumah123.com/r123/250x250-fit/logo/1084_logosubcomp_1422958258.jpg",
              "thumbnail_url": "https://pic.rumah123.com/r123/250x160-fit/logo/1084_logosubcomp_1422958258.jpg",
              "format_url": "https://pic.rumah123.com/r123/{width}x{height}-{scale}/logo/1084_logosubcomp_1422958258.jpg"
            }
          ]
        }
      ]
    },
    "subscription": {
      "subscription_tier_id": 47,
      "status": 1,
      "time": {
        "created": 1532404741,
        "posted": 0,
        "published": 0,
        "removed": 0,
        "updated": 1733734888,
        "expire": 1795539599
      },
      "type": {
        "name": "Silver + Rp 1,188,888",
        "label": "",
        "value": 47
      }
    }
  },
  "additional_flags": null,
  "auction": null,
  "rent_type": null,
  "additional_rent_types": null,
  "property_partner": null,
  "unregister_project": null,
  "rent_prices": null,
  "repost": null,
  "from_url": "https://www.rumah123.com/jual/cari/?page=2"
}
]

Implementation Guide

1. Define Market Scope: Determine target areas (cities, districts), property types (residential vs. commercial), and price ranges. This focuses your scraping and reduces irrelevant data.

2. Build Search URLs: Perform test searches on Rumah123 with desired filters. Copy URLs for each market segment. For comprehensive coverage, include pagination URLs (?page=1 through ?page=50 for large markets).

3. Configure Input: Assemble JSON with URL list. Set max_items_per_url based on your needs (20 for standard, 50 for deep extraction). Enable ignore_url_failures for robustness.

4. Run Scraper: Execute via Apify console. Monitor progress. Typical runtime: 10 search pages with 20 items each completes in 3-5 minutes depending on proxy and network conditions.

5. Validate Data: Check dataset preview for completeness. Verify prices are in expected ranges, locations are correct, and critical fields (title, price, location) are populated.

6. Export and Analyze: Download in preferred format. JSON for databases, CSV for Excel analysis. Clean data by removing duplicates (using UUID), filtering by property_type or location, and standardizing price formats.

7. Error Management: Failed URLs typically indicate removed listings or invalid search parameters. Check activity logs for specific errors. Retry failed URLs after verification.

Scaling Strategy: For nationwide coverage, create separate runs per major city to improve reliability. Schedule weekly scrapes to track new listings and price changes. Store historical data for trend analysis.

Strategic Applications in Real Estate Intelligence

Price Trend Analysis: Track price movements across neighborhoods, property types, and time periods. Identify emerging markets with rapid appreciation or areas with declining prices signaling opportunities.

Inventory Monitoring: Measure listing volumes by area and type. Sudden inventory increases may signal oversupply; decreases indicate tight markets or strong demand.

Agent Performance Tracking: Analyze agent activity through listing volumes, subscription tiers, and co-broke participation. Identify top agents for partnership or recruitment.

Investment Opportunity Detection: Filter by price_drop, auction status, and special flags to find motivated sellers. Combine with days-on-market calculations (using time field) to identify stale listings ripe for negotiation.

Market Entry Research: Companies entering Indonesian real estate market can assess competitive landscapes: prevailing prices, dominant property types, agent concentration, and inventory levels across target cities.

Rental Yield Calculation: Cross-reference sales prices with rent_prices to calculate potential rental yields. Identify high-yield neighborhoods for investment property portfolios.

Developer Activity Monitoring: Track primary_project listings to monitor new development launches, project absorption rates, and developer pricing strategies across regions.

Competitive Intelligence: Agencies monitor competitor listings: pricing strategies, property locations they target, subscription tier investments, and agent recruitment activities.

Maximizing Data Value: Advanced Techniques

Geographic Clustering: Use location_pin coordinates to map property density, identify development hotspots, and analyze proximity to infrastructure (MRT stations, schools, business districts).

Price Normalization: Convert price_type variations (total vs. per-meter) into standardized metrics. Calculate price-per-square-meter using attributes.building_size for accurate comparisons.

Agent Network Mapping: Build relationship graphs using agent data and co_broke indicators. Identify central agents with extensive networks for partnership or market intelligence.

Time-Series Database: Store scraped data with timestamps. Track individual properties over time to calculate days-on-market, identify price adjustments, and measure market velocity.

Subscription ROI Analysis: Correlate subscription_tier_id with time-to-sell (derived from time field and subsequent scrapes). Determine if premium subscriptions accelerate sales.

Image Analysis: Process medias arrays with computer vision to extract features (property condition, style, amenities). Enhance listings with auto-generated tags or quality scores.

Predictive Modeling: Train machine learning models on historical data to predict property values, time-to-sell, or optimal pricing. Features: location, attributes, agent, subscription tier, time posted.

Market Segmentation: Cluster properties by attributes, price ranges, and locations. Identify distinct market segments (luxury, mid-tier, affordable) and their geographic distribution.

Alert Systems: Set up automated alerts when properties matching specific criteria appear: price drops in target areas, new listings below market rate, auction properties in premium locations.

Data Governance and Best Practices

Update Frequency: Real estate markets evolve weekly. Schedule scrapes every 5-7 days to capture new listings, price changes, and market trends without overwhelming resources.

Deduplication Strategy: Use UUID as primary key. When merging datasets from multiple scrapes, identify new listings, track existing ones, and archive sold properties (no longer appearing in searches).

Data Enrichment: Combine Rumah123 data with government property records, demographic data, infrastructure maps, and economic indicators for comprehensive market intelligence.

Privacy Compliance: Agent contact information may be personal data. Implement secure storage, access controls, and use data only for legitimate business purposes. Follow Indonesian data protection regulations.

Quality Assurance: Implement validation checks: prices should be positive, coordinates within Indonesia bounds, property_type from known list, attributes numerically logical. Flag anomalies for review.

Attribution Tracking: Store source URLs and scrape timestamps with each record. Enables data verification, tracks data freshness, and supports audit trails.

Proxy Management: If experiencing blocking, enable Apify residential proxies and rotate regularly. Space out large scraping operations across several hours to mimic natural browsing patterns.

Historical Archiving: Maintain separate databases for active listings vs. historical data. Archive provides trend analysis, seasonal pattern identification, and long-term market research capabilities.

Conclusion

The Rumah123.com Property Search Scraper transforms Indonesia's leading real estate platform into actionable market intelligence. From investment opportunity detection to agent network analysis, comprehensive property data drives informed decisions in Southeast Asia's dynamic property market. Whether you're building price estimation models, monitoring competitive landscapes, or identifying emerging investment zones, this scraper delivers the insights needed to succeed in Indonesian real estate. Start extracting property data today and gain competitive advantage in this high-growth market.