# Nobroker Search Results Scraper (`krazee_kaushik/nobroker-search-results-scraper`) Actor Extract NoBroker property listings using search URLs and get structured real estate data including rent, BHK, location, amenities, and images. Ideal for analytics, lead generation, and automated data workflows. - **URL**: https://apify.com/krazee\_kaushik/nobroker-search-results-scraper.md - **Developed by:** [Krazee](https://apify.com/krazee_kaushik) (community) - **Categories:** Automation, Real estate, Lead generation - **Stats:** 9 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 result scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Nobroker Scraper โ€“ Extract Property Listings Data from India Real Estate The Nobroker Scraper is a powerful tool to scrape nobroker.com data and extract property listings from Indiaโ€™s leading real estate platform. Use this scraper to collect property prices, BHK details, area, locality, and amenities at scale. It works as a Nobroker API alternative, providing structured real estate datasets for lead generation, analytics, and automation. --- ### ๐Ÿ” How to Scrape NoBroker Data 1. Copy a NoBroker search URL with your filters (city, BHK, budget, etc.) 2. Paste it as input 3. Run the scraper 4. Get structured property listings data --- ### ๐Ÿ“Š NoBroker Property Data You Can Extract - **Pricing & Rent Details**: rent, deposit, negotiability, price insights - **Property Configuration**: BHK, property type, furnishing, floor, availability - **Location Data**: locality, city, full address, latitude & longitude - **Owner & Listing Info**: owner name, owner ID, listing type (no brokerage) - **Amenities & Features**: lift, gym, pool, security, parking, and full amenities map - **Media Assets**: property images (thumbnail, medium, large), listing URLs - **Advanced Listing Metadata**: enriched property insights such as tenant status, availability conditions, pet policy, security features, and unique selling points --- ### ๐Ÿš€ Use Cases - Scrape NoBroker listings for lead generation - Extract real estate data in India for market analysis - Build property datasets for proptech apps - Automate NoBroker data collection workflows --- ### โฌ‡๏ธ Input Format Just provide one or more Magicbricks search URLs. Example: ```json { "resultsLimit": 30, "searchUrls": [ "https://www.nobroker.in/property/rent/pune/ANTALYA%20NEXT?searchParam=W3sibGF0IjoxOC42MjEzNzkzLCJsb24iOjczLjc1MjIzMDIsInBsYWNlSWQiOiJrMXc3YTJhMXMyajdhN3UwejdjNmgzejlfTkJCIiwicGxhY2VOYW1lIjoiQU5UQUxZQSBORVhUIn1d&radius=2.0&sharedAccomodation=0&city=pune&locality=ANTALYA%20NEXT#signup-login" ] } ```` *** ### ๐Ÿ“ค Output Example Output is a dataset where each item represents a real estate result. Hereโ€™s a shortened example: ```json { "id": "8a9faf8395a1a1130195a1b5347600c6", "title": "2 BHK Flat In Vishal Skyscraper for Rent In Tathawade", "secondaryTitle": "Vishal Skyscraper Survey no 83, 1E, Ashok Nagar Rd, Ashok Nagar, Tathawade, Dattwadi, Pimpri-Chinchwad, Pune, Maharashtra 411033 ", "propertyType": "RENT", "type": "BHK2", "typeDesc": "2 BHK", "city": "pune", "locality": "Tathawade", "localityId": "tathawade_pune", "localityType": null, "localityTypeDesc": null, "landmark": null, "latitude": 18.618501381636044, "longitude": 73.75163409999998, "location": "18.618501381636044000,73.751634099999980000", "rent": 35000, "deposit": 80000, "negotiable": false, "rentNegotiable": null, "depositNegotiable": null, "carpetArea": null, "bathroom": 2, "floor": 2, "totalFloor": 20, "furnishing": "SEMI_FURNISHED", "ageOfProperty": null, "commercialParking": null, "commercialPowerBackUp": null, "commercialLift": null, "lift": true, "swimmingPool": true, "loanAvailable": true, "ownerId": "ff8081814dcc27e6014dcd9765cb114b", "ownerName": "Rahul Pawar", "active": true, "sponsored": true, "promoted_b": false, "premium": false, "photoAvailable": true, "thumbnailImage": "https://assets.nobroker.in/images/8a9faf8395a1a1130195a1b5347600c6/8a9faf8395a1a1130195a1b5347600c6_21426_857974_medium.jpg", "originalImageUrl": "//assets.nobroker.in/8a9faf8395a1a1130195a1b5347600c6_21426_622711_original.jpg", "highLights": [], "maintenanceExtra": null, "maintenanceIncluded": false, "leaseTypeNew": [ "FAMILY" ], "facingDesc": "East", "availableFrom": "21/03/2026, 00:00:00", "creationDate": "17/03/2025, 06:56:02", "activationDate": "29/01/2026, 22:30:08", "lastUpdateDate": "13/03/2026, 16:49:47", "propertyScore": 1770743539000, "commercialPropertyType": null, "commercialPropertyTypeDesc": null, "detailUrl": "https://www.nobroker.in/property/2-bhk-apartment-for-rent-in-tathawade-pune-for-rs-35000/8a9faf8395a1a1130195a1b5347600c6/detail", "shortUrl": "http://nobr.kr/sy/dFmrp", "videoUnit": [], "accurateLocation": true, "score": { "lastUpdatedDate": "17/03/2025, 10:45:15", "transit": 6, "lifestyle": 8.2 }, } ``` *** ### โ“ FAQ #### Is it legal to scrape NoBroker data? This scraper is designed for publicly available data extraction for purposes like market research, analytics, and personal use.\ However, you should always review NoBrokerโ€™s terms of service and ensure your usage complies with applicable laws and platform policies. *** #### How long does it take to scrape NoBroker listings? The scraper can extract hundreds of property listings within a few minutes, depending on the number of results and filters applied in the search URL. *** #### What input do I need to run the scraper? You only need a NoBroker search URL with your desired filters such as city, BHK, budget, or property type. The scraper will automatically extract all listings from the results. *** #### What kind of data will I get from NoBroker listings? You will get structured property data including rent, deposit, BHK details, location, amenities, images, and advanced listing metadata such as availability conditions and property insights. *** #### Can I scrape listings from multiple cities or searches at once? Yes, you can provide multiple NoBroker search URLs as input. The scraper will process all of them and return a combined dataset. *** ### ๐Ÿ”— Related Real Estate Scrapers - โšก [Magicbricks Scraper โ€“ Extract Property Listings Data](https://apify.com/krazee_kaushik/magicbricks-search-results-scraper)\ Scrape Magicbricks property listings and extract real estate data including price, BHK, locality, and project details from Indiaโ€™s leading property platform. # Actor input Schema ## `searchUrls` (type: `array`): List of search urls to scrape. ## `resultsLimit` (type: `integer`): Results count for each url ## Actor input object example ```json { "searchUrls": [ "https://www.nobroker.in/property/rent/pune/ANTALYA%20NEXT?searchParam=W3sibGF0IjoxOC42MjEzNzkzLCJsb24iOjczLjc1MjIzMDIsInBsYWNlSWQiOiJrMXc3YTJhMXMyajdhN3UwejdjNmgzejlfTkJCIiwicGxhY2VOYW1lIjoiQU5UQUxZQSBORVhUIn1d&radius=2.0&sharedAccomodation=0&city=pune&locality=ANTALYA%20NEXT#signup-login" ], "resultsLimit": 30 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchUrls": [ "https://www.nobroker.in/property/rent/pune/ANTALYA%20NEXT?searchParam=W3sibGF0IjoxOC42MjEzNzkzLCJsb24iOjczLjc1MjIzMDIsInBsYWNlSWQiOiJrMXc3YTJhMXMyajdhN3UwejdjNmgzejlfTkJCIiwicGxhY2VOYW1lIjoiQU5UQUxZQSBORVhUIn1d&radius=2.0&sharedAccomodation=0&city=pune&locality=ANTALYA%20NEXT#signup-login" ] }; // Run the Actor and wait for it to finish const run = await client.actor("krazee_kaushik/nobroker-search-results-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchUrls": ["https://www.nobroker.in/property/rent/pune/ANTALYA%20NEXT?searchParam=W3sibGF0IjoxOC42MjEzNzkzLCJsb24iOjczLjc1MjIzMDIsInBsYWNlSWQiOiJrMXc3YTJhMXMyajdhN3UwejdjNmgzejlfTkJCIiwicGxhY2VOYW1lIjoiQU5UQUxZQSBORVhUIn1d&radius=2.0&sharedAccomodation=0&city=pune&locality=ANTALYA%20NEXT#signup-login"] } # Run the Actor and wait for it to finish run = client.actor("krazee_kaushik/nobroker-search-results-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchUrls": [ "https://www.nobroker.in/property/rent/pune/ANTALYA%20NEXT?searchParam=W3sibGF0IjoxOC42MjEzNzkzLCJsb24iOjczLjc1MjIzMDIsInBsYWNlSWQiOiJrMXc3YTJhMXMyajdhN3UwejdjNmgzejlfTkJCIiwicGxhY2VOYW1lIjoiQU5UQUxZQSBORVhUIn1d&radius=2.0&sharedAccomodation=0&city=pune&locality=ANTALYA%20NEXT#signup-login" ] }' | apify call krazee_kaushik/nobroker-search-results-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=krazee_kaushik/nobroker-search-results-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nobroker Search Results Scraper", "description": "Extract NoBroker property listings using search URLs and get structured real estate data including rent, BHK, location, amenities, and images. Ideal for analytics, lead generation, and automated data workflows.", "version": "0.0", "x-build-id": "t0VrpgVawDfWzr6d5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/krazee_kaushik~nobroker-search-results-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-krazee_kaushik-nobroker-search-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/krazee_kaushik~nobroker-search-results-scraper/runs": { "post": { "operationId": "runs-sync-krazee_kaushik-nobroker-search-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/krazee_kaushik~nobroker-search-results-scraper/run-sync": { "post": { "operationId": "run-sync-krazee_kaushik-nobroker-search-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "searchUrls" ], "properties": { "searchUrls": { "title": "Search URLs", "type": "array", "description": "List of search urls to scrape.", "items": { "type": "string" } }, "resultsLimit": { "title": "Results limit", "minimum": 1, "type": "integer", "description": "Results count for each url", "default": 30 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```