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What does Nobroker.in Property Search Scraper do?

The Indian real estate market has been revolutionized by platforms like NoBroker.in, which operates as India's #1 Real Estate Property Website Without Brokers. This innovative platform connects property buyers and sellers directly, eliminating traditional brokerage fees and providing transparent access to genuine property listings. For real estate professionals, investors, market researchers, and property tech companies, accessing this wealth of data systematically becomes crucial for making informed decisions. The NoBroker.in Property Search Scraper addresses this need by automating the extraction of comprehensive property information from one of India's most trusted real estate platforms.

Overview of the NoBroker.in Property Scraper

The NoBroker.in Property Search Scraper is a sophisticated data extraction tool designed to harvest detailed property information from NoBroker's extensive database. NoBroker's broker-free operation is based on consumer-to-consumer (C2C) marketplace model, which means the data extracted represents direct communications between property owners and potential buyers or tenants, making it exceptionally valuable for market analysis.

This scraper stands out for its ability to handle NoBroker's advanced anti-bot protection systems while maintaining high extraction accuracy. The tool is particularly effective for extracting data from major metropolitan areas like Mumbai, Delhi, Bangalore, and Pune, where NoBroker has the strongest presence. NoBroker boasted a significant presence in more than 10 cities across India, including major metropolitan areas. It garnered over 9 million registered users, indicating the massive scale of available data.

The scraper is ideal for real estate analysts, property investment firms, market researchers, PropTech startups, and academic institutions studying housing trends. Its robust architecture ensures consistent data quality while respecting the platform's terms of service and implementing responsible scraping practices.

Input and Output Specifications

Example url 1: https://www.nobroker.in/property/sale/mumbai/Mumbai%20Central?searchParam=W3sibGF0IjoxOC45NjkwMjQ3LCJsb24iOjcyLjgyMDUyOTIsInBsYWNlSWQiOiJDaElKTjNHeG9XN081enNSNF9YTE83R09HZjQiLCJwbGFjZU5hbWUiOiJNdW1iYWkgQ2VudHJhbCJ9XQ==&radius=2.0&city=mumbai&locality=Mumbai%20Central&price=27500000,100000000

Example url 2: https://www.nobroker.in/property/sale/mumbai/Aniket%20CHS?searchParam=W3sibGF0IjoxOS4wOTY4NTUsImxvbiI6NzIuODYzNTMsInBsYWNlSWQiOiJvMTU3aTBrOHIwYjdtOGs1bzV6Nnc0MzBfTkJCIiwicGxhY2VOYW1lIjoiQW5pa2V0IENIUyIsInNob3dNYXAiOmZhbHNlfV0=&radius=2.0&city=mumbai&locality=Aniket%20CHS&price=27500000,100000000&isMetro=false

Example url 3: https://www.nobroker.in/flats-for-sale-in-south_bombay_mumbai?nbFr=nearby_list_end

Example Screenshot of property list by query urls page:

Input Format

The scraper accepts a JSON configuration that provides precise control over the extraction process. The input structure is designed for flexibility and scalability:

{
  "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
  "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL" 
    ],
    "apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from
  },
  "max_items_per_url": 30,
  "urls": [ // Links to property list by query pages.
    "https://www.nobroker.in/property/sale/mumbai/Mumbai%20Central?searchParam=W3sibGF0IjoxOC45NjkwMjQ3LCJsb24iOjcyLjgyMDUyOTIsInBsYWNlSWQiOiJDaElKTjNHeG9XN081enNSNF9YTE83R09HZjQiLCJwbGFjZU5hbWUiOiJNdW1iYWkgQ2VudHJhbCJ9XQ==&radius=2.0&city=mumbai&locality=Mumbai%20Central&price=27500000,100000000",
    "https://www.nobroker.in/property/sale/mumbai/Aniket%20CHS?searchParam=W3sibGF0IjoxOS4wOTY4NTUsImxvbiI6NzIuODYzNTMsInBsYWNlSWQiOiJvMTU3aTBrOHIwYjdtOGs1bzV6Nnc0MzBfTkJCIiwicGxhY2VOYW1lIjoiQW5pa2V0IENIUyIsInNob3dNYXAiOmZhbHNlfV0=&radius=2.0&city=mumbai&locality=Aniket%20CHS&price=27500000,100000000&isMetro=false",
    "https://www.nobroker.in/flats-for-sale-in-south_bombay_mumbai?nbFr=nearby_list_end"
  ]
}

• URLs - Links to property list by query pages. If you want to scrape from any page, enter the URL of that page, and set the total of pages to scrape. You can paste URLs one at a time or use the Bulk Edit section to add a prepared list.
• Max items per URL - Don't forget to fill in this field, which allows you to choose the total items when scraping from the set product listing page.
• Limit the number of retries - Maximum number of retries for each URL when collecting data when an unexpected error occurs.
• Proxy configuration - Add a proxy to ensure that during the data collection process, you are not detected as a bot.

Output Format and Data Structure

You get the output from the Nobroker.in Property Search Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.

[ // List of property information
  {
    "property_age": 10,
    "parking": "BOTH",
    "ownership_type": "FREEHOLD",
    "parking_desc": "Bike and Car",
    "project_url": "db-orchid-tower-270-bellasis-rd-near-arabia-hotel-nagpada-madanpura-mumbai-maharashtra-400008-india_mumbai-prjt-63a95e267ec55900016b16ff",
    "contacted_status_details": {
      "contacted": false
    },
    "shortlisted_by_logged_in_user": false,
    "last_update_date": 1736166242000,
    "locality_truncated": "Mumbai Central",
    "negotiable": true,
    "type": "BHK1",
    "owner_id": "ff8081816165e0a4016169cedc2a0512",
    "reg_cost_included": false,
    "available_from": 1727721000000,
    "photos": [
      {
        "imagesMap": {
          "thumbnail": "8a9f858391b11e660191b1659c5f18cc_24966_144243_thumbnail.jpg",
          "original": "8a9f858391b11e660191b1659c5f18cc_24966_529753_original.jpg",
          "large": "8a9f858391b11e660191b1659c5f18cc_24966_11023_large.jpg",
          "medium": "8a9f858391b11e660191b1659c5f18cc_24966_330048_medium.jpg"
        },
        "disAffinity": 50,
        "subReasons": "",
        "displayPic": true,
        "w": 1392,
        "name": "files[]",
        "h": 1080,
        "state": "APPROVED",
        "duplicate": false,
        "title": "",
        "uploadedBy": "AGENT",
        "landscape": true
      },
      {
        "imagesMap": {
          "thumbnail": "8a9f858391b11e660191b1659c5f18cc_71966_735572_thumbnail.jpg",
          "original": "8a9f858391b11e660191b1659c5f18cc_71966_907517_original.jpg",
          "large": "8a9f858391b11e660191b1659c5f18cc_71966_988421_large.jpg",
          "medium": "8a9f858391b11e660191b1659c5f18cc_71966_817969_medium.jpg"
        },
        "disAffinity": 50,
        "subReasons": "",
        "displayPic": false,
        "w": 1440,
        "name": "files[]",
        "h": 1080,
        "state": "APPROVED",
        "duplicate": false,
        "title": "",
        "uploadedBy": "AGENT",
        "landscape": true
      },
      {
        "imagesMap": {
          "thumbnail": "8a9f858391b11e660191b1659c5f18cc_7555_418083_thumbnail.jpg",
          "original": "8a9f858391b11e660191b1659c5f18cc_7555_726129_original.jpg",
          "large": "8a9f858391b11e660191b1659c5f18cc_7555_705607_large.jpg",
          "medium": "8a9f858391b11e660191b1659c5f18cc_7555_405877_medium.jpg"
        },
        "disAffinity": 30,
        "subReasons": "",
        "displayPic": false,
        "w": 1440,
        "name": "files[]",
        "h": 1080,
        "state": "APPROVED",
        "duplicate": false,
        "title": "",
        "uploadedBy": "AGENT",
        "landscape": true
      },
      {
        "imagesMap": {
          "thumbnail": "8a9f858391b11e660191b1659c5f18cc_947_843186_thumbnail.jpg",
          "original": "8a9f858391b11e660191b1659c5f18cc_947_81531_original.jpg",
          "large": "8a9f858391b11e660191b1659c5f18cc_947_428824_large.jpg",
          "medium": "8a9f858391b11e660191b1659c5f18cc_947_13145_medium.jpg"
        },
        "disAffinity": 10,
        "subReasons": "",
        "displayPic": false,
        "w": 810,
        "name": "files[]",
        "h": 1080,
        "state": "APPROVED",
        "duplicate": false,
        "title": "",
        "uploadedBy": "AGENT",
        "landscape": false
      },
      {
        "imagesMap": {
          "thumbnail": "8a9f858391b11e660191b1659c5f18cc_14685_356562_thumbnail.jpg",
          "original": "8a9f858391b11e660191b1659c5f18cc_14685_526995_original.jpg",
          "large": "8a9f858391b11e660191b1659c5f18cc_14685_247925_large.jpg",
          "medium": "8a9f858391b11e660191b1659c5f18cc_14685_317421_medium.jpg"
        },
        "disAffinity": -100,
        "subReasons": "",
        "displayPic": false,
        "w": 810,
        "name": "files[]",
        "h": 1080,
        "state": "APPROVED",
        "duplicate": false,
        "title": "",
        "uploadedBy": "AGENT",
        "landscape": false
      }
    ],
    "property_size": 840,
    "loan_available": true,
    "original_image_url": "//assets.nobroker.in/8a9f858391b11e660191b1659c5f18cc_24966_529753_original.jpg",
    "score": {
      "lastUpdatedDate": "2024-09-02T18:20:25+05:30",
      "transit": 8.4,
      "id": "8a9f858391b11e660191b1659c5f18cc",
      "lifestyle": 8.5
    },
    "price": 30000000,
    "formatted_deposit": "",
    "id": "8a9f858391b11e660191b1659c5f18cc",
    "state": "READY",
    "locality_id": "kamathipura_mumbai",
    "admin_event": "PROPERTY",
    "bathroom": 2,
    "property_title": "1 BHK Flat In Db Orchid Tower For Sale  In Mumbai Central",
    "longitude": 72.8205292,
    "buyer_property": true,
    "activate_later": false,
    "index_name": "nobroker_resale",
    "seo_description": "[{\"id\":\"ChIJxw0Sp-nO5zsRbsKTj2u6nD8\",\"name\":\"ICICI Bank Parel CCD, Mumbai-Branch \\u0026 ATM\",\"seoUrl\":\"/flats-for-sale-near-sat_asara_chs_mumbai\",\"latitude\":19.0077238,\"longitude\":72.8408987,\"placeType\":\"bank\"},{\"id\":\"ChIJnY-kAlfO5zsRxoVaSAk9E3E\",\"name\":\"Cotton Green Railway Station\",\"seoUrl\":\"/flats-for-sale-near-cotton_green_railway_station_sewri_mumbai\",\"latitude\":18.986272,\"longitude\":72.842649,\"placeType\":\"bus_station\"},{\"id\":\"ChIJ5adPH0bO5zsR0TrOA3I6kjU\",\"name\":\"Lakadawala Solitaire\",\"seoUrl\":\"/flats-for-sale-near-lakadawala_solitaire_mumbai\",\"latitude\":18.9708731,\"longitude\":72.83940009999999,\"placeType\":\"gym\"},{\"id\":\"ChIJ5d_PEeDR5zsRAQPCz6QtdfQ\",\"name\":\"Zain Eye care\",\"seoUrl\":\"/flats-for-sale-near-lotus_house_mumbai\",\"latitude\":18.9413496,\"longitude\":72.8277336,\"placeType\":\"hospital\"},{\"id\":\"ChIJjRonGODR5zsRPn-RQrkHFAY\",\"name\":\"Metro INOX Cinema\",\"seoUrl\":\"/flats-for-sale-near-metro_inox_cinema_marine_lines_mumbai\",\"latitude\":18.9427867,\"longitude\":72.8291255,\"placeType\":\"movie_theater\"}]",
    "locality": "Mumbai Central",
    "active": true,
    "creation_date": 1725258112000,
    "swimming_pool": true,
    "complete_street_name": "Bellasis Road",
    "property_score": 1725000346000,
    "accurate_location": true,
    "default_emi": "1.72 Lacs/Month",
    "filter_preference_score": 0,
    "total_floor": 35,
    "mapped": false,
    "lift": true,
    "gym": true,
    "detail_url": "/property/buy/1-bhk-apartment-for-sale-in-mumbai-central-mumbai/8a9f858391b11e660191b1659c5f18cc/detail",
    "activation_date": 1725259546000,
    "lease_type_new": [],
    "facing_desc": "North-East",
    "furnishing": "FULLY_FURNISHED",
    "amenities": "{\"LIFT\":true,\"GYM\":true,\"INTERNET\":true,\"AC\":false,\"CLUB\":true,\"INTERCOM\":true,\"POOL\":true,\"CPA\":true,\"FS\":true,\"SERVANT\":false,\"SECURITY\":true,\"SC\":true,\"GP\":false,\"PARK\":true,\"RWH\":false,\"STP\":false,\"HK\":false,\"PB\":false,\"VP\":true}",
    "photo_available": true,
    "expected_rent": 83700.68,
    "type_desc": "1 BHK",
    "city": "mumbai",
    "short_url": "http://nobr.kr/sv/2dm4tQp",
    "latitude": 18.9690247,
    "promoted_b": null,
    "facing": "NE",
    "title": "1 BHK Flat In Db Orchid Tower For Sale  In Mumbai Central",
    "nb_locality": "Kamathipura",
    "society": "DB Orchid Tower",
    "under_loan": false,
    "premium": false,
    "owner_name": "sabiha khan",
    "street": "Bellasis Road",
    "property_type": "BUY",
    "secondary_title": "Bellasis Road",
    "aea__": {
      "ACCURATE_LOCATION": {
        "display_value": "Landmark",
        "value": "LANDMARK"
      },
      "KHATA_CERTIFICATE": {
        "display_value": "null",
        "value": "NULL"
      },
      "RERA_APPROVED": {
        "display_value": "null",
        "value": "NULL"
      },
      "PROPERTY_TAX": {
        "display_value": "yes",
        "value": "YES"
      },
      "ENCUMBRANCE_CERTIFICATE": {
        "display_value": "null",
        "value": "NULL"
      },
      "HOUSE_KEY_WITH": {
        "display_value": "I will show",
        "value": "I_HAVE_KEYS"
      },
      "SIMILAR_UNIT_AVAILABLE": {
        "display_value": "NO",
        "value": "NO"
      },
      "GATED_SECURITY": {
        "display_value": "Yes",
        "value": "SECURITY_ONLY"
      },
      "KHATA_CERTIFICATE_TYPE": {
        "display_value": "null",
        "value": "NULL"
      },
      "COMPLETION_CERTIFICATE": {
        "display_value": "null",
        "value": "NULL"
      },
      "SALE_DEED": {
        "display_value": "yes",
        "value": "YES"
      },
      "CONVERSION_CERTIFICATE": {
        "display_value": "null",
        "value": "NULL"
      },
      "DIRECTIONS": {
        "value": "OPP MUMBAI CENTRAL BUS DEPO "
      },
      "OCCUPATION_CERTIFICATE": {
        "display_value": "yes",
        "value": "YES"
      }
    },
    "floor": 24,
    "kitchen": "COVERED_SHELVES",
    "thumbnail_image": "https://assets.nobroker.in/images/8a9f858391b11e660191b1659c5f18cc/8a9f858391b11e660191b1659c5f18cc_24966_330048_medium.jpg",
    "show_request_photo": false,
    "address": "Bellasis Road, Mumbai Central, mumbai",
    "verified": false,
    "sponsored": false,
    "document_name": "property",
    "formatted_maintenance_amount": "10,000",
    "property_title_truncated": "1 BHK Flat In Db Orchid Tow...",
    "video_unit": [],
    "url": "/static/img/icon/map/new/new_1.png",
    "building_id": "63a95e267ec55900016b16ff",
    "show_project": true,
    "high_lights": [],
    "formatted_price": "3 Crores",
    "maintenance_included": false,
    "amenities_map": {
      "INTERCOM": true,
      "AC": false,
      "RWH": false,
      "HK": false,
      "INTERNET": true,
      "LIFT": true,
      "CLUB": true,
      "GP": false,
      "FS": true,
      "STP": false,
      "PARK": true,
      "SC": true,
      "PB": false,
      "CPA": true,
      "SECURITY": true,
      "POOL": true,
      "GYM": true,
      "VP": true,
      "SERVANT": false
    },
    "servant_room": 0,
    "location": "18.969024700000000000,72.820529200000000000",
    "prop_type": "AP",
    "locality_growth_rate": 9.07
  }, // ... Many other property details
]

The scraper produces comprehensive property data with 26 distinct fields, each serving specific analytical purposes:

Core Property Information:

• ID: Unique NoBroker property identifier for tracking and deduplication
• Title: Property headline as listed by the owner, often containing key selling points
• Price: Listed property price in Indian Rupees, crucial for market valuation analysis
• Formatted Deposit: Security deposit amount, important for rental properties
• Property Size: Area measurement, typically in square feet, essential for price-per-sq-ft calculations

Location Data:

• Address: Complete property address for precise location identification
• City: Metropolitan area (e.g., Mumbai, Delhi), useful for city-wise market analysis
• State: Indian state location, important for regulatory and tax considerations
• NB Locality: NoBroker's standardized locality classification for consistent mapping
• Society: Housing complex or building name, valuable for community-based analysis
• Latitude: GPS coordinate for mapping and distance calculations
• URL: Direct link to the property listing for manual verification
• Short URL: Condensed link for easy sharing and tracking

Property Characteristics:

• Property Age: Building age, affecting valuation and maintenance considerations
• Parking: Available parking spaces, a premium feature in Indian metros
• Parking Description: Detailed parking information (covered, open, reserved)
• Facing: Direction the property faces (North, South, East, West), important in Indian culture
• Ownership Type: Legal ownership status (freehold, leasehold, cooperative)
• Under Loan: Whether the property has existing loan obligations

Listing Metadata:

• Owner Name: Property owner information for direct contact
• Contacted Status Details: Interaction history with potential buyers
• Shortlisted by Logged-in User: User engagement metrics
• Photos: Image URLs for visual property assessment
• Project URL: Link to the larger project or development
• Promoted: Whether the listing has paid promotion, indicating serious sellers

Each field serves specific use cases: price and size data enable market trend analysis, location fields support geographic clustering, and ownership details help assess transaction feasibility. The combination of these fields provides a 360-degree view of each property listing.

User Guide and Best Practices

To maximize the scraper's effectiveness, start by identifying specific NoBroker.in search result URLs that match your research criteria. Navigate to NoBroker.in, apply your desired filters (location, price range, property type), and copy the resulting URLs. For optimal results, use specific locality-based searches rather than broad city-wide queries, as these tend to yield more consistent data.

Configure the proxy settings carefully, especially when extracting large datasets. The residential proxy option is recommended for sustained scraping operations, while the country setting should match your target market geography. For Mumbai properties, Singapore proxies work well due to similar time zones and minimal latency.

Set appropriate limits using the max_items_per_url parameter. While NoBroker typically displays 30-50 properties per page, limiting extraction to 30 ensures higher success rates and better data quality. For comprehensive market coverage, create multiple input URLs covering different price ranges and localities rather than trying to extract everything from a single URL.

Monitor the extraction process and handle common issues proactively. If the scraper encounters repeated failures, verify that your input URLs are accessible and haven't expired. NoBroker URLs often contain time-sensitive parameters, so refresh them if they're more than a few hours old. Additionally, respect rate limits by spacing multiple scraping operations appropriately.

Benefits and Practical Applications

The NoBroker.in Property Scraper delivers significant time savings compared to manual data collection. What would take weeks of manual browsing and data entry can be completed in hours, allowing professionals to focus on analysis rather than data gathering. This efficiency is particularly valuable for real estate investment firms conducting market research across multiple localities.

Real-world applications span numerous industries and use cases. Real estate developers use the extracted data to identify market gaps and price their projects competitively. Property investors analyze trends in specific localities to make informed purchase decisions. Market research firms compile comprehensive reports on housing availability and pricing trends for clients in banking, insurance, and government sectors.

The data's business value extends beyond immediate transactions. PropTech companies use this information to build recommendation engines, pricing models, and market comparison tools. Academic researchers studying urbanization patterns, housing affordability, and migration trends find the comprehensive dataset invaluable for longitudinal studies. The geographic coordinates enable sophisticated spatial analysis, while the detailed property characteristics support machine learning applications in property valuation.

Conclusion

The NoBroker.in Property Search Scraper represents a powerful solution for accessing India's largest database of broker-free property listings. By providing comprehensive, structured data extraction from this trusted platform, it enables professionals across real estate, finance, and research sectors to make data-driven decisions with confidence.

Whether you're analyzing market trends, sourcing investment opportunities, or conducting academic research, this scraper delivers the detailed, accurate data you need. Start leveraging the power of automated property data extraction today to gain competitive advantages in India's dynamic real estate market.

Related Actors

• Nobroker.in Property Details Scraper: Your comprehensive tool for extracting valuable property information from Nobroker.in's extensive real estate platform.

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