# Housing.com India Property Scraper (`unfenced-group/housing-scraper`) Actor Scrape buy/rent property listings from Housing.com India. Prices, GPS, BHK, area, RERA, photos. - **URL**: https://apify.com/unfenced-group/housing-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 results 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 ## Housing.com India Property Scraper Extract structured property listings from **Housing.com** — India's leading proptech platform with 4+ million listings across residential buy, rent, and new projects in all major cities. No API key or login required. --- ### How it works Uses the Housing.com internal GraphQL API (`mightyzeus-mum.housing.com/api/gql`) with a Dalvik Android user-agent that bypasses the Akamai WAF. Rent listings use standard page-based GraphQL pagination; buy listings use cursor-based pagination (the API returns a cursor with each page that is threaded into the next call). --- ### Features - **Buy & Rent** — both transaction types, same run - **11 cities** — all major Indian metros - **70 fields per listing** — 25+ new fields vs previous version - **GraphQL API** — fast, lightweight JSON responses; no HTML parsing - **Deduplication** — cross-city deduplication by `listingId` --- ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `cities` | Array | 5 metros | City slugs — see valid values below | | `transactionTypes` | Array | `["buy","rent"]` | `buy` and/or `rent` | | `maxResults` | Integer | `500` | Max total listings (0 = unlimited) | | `maxPagesPerCity` | Integer | `40` | Max pages per city+tx combo (30/page) | | `pageSize` | Integer | `30` | Listings per API page | | `proxyConfiguration` | Object | — | Proxy settings | **Valid city slugs:** `mumbai`, `bengaluru`, `new-delhi`, `hyderabad`, `pune`, `kolkata`, `chennai`, `gurgaon`, `noida`, `ahmedabad`, `navi-mumbai` --- ### Output fields #### Identity & URL | Field | Type | Description | |-------|------|-------------| | `listingId` | String | Housing.com listing ID | | `originalListingId` | String | Original listing ID | | `url` | String | Full listing URL | | `transactionType` | String | `buy` or `rent` | | `propertyType` | String | `apartment`, `project`, etc. | #### Location | Field | Type | Description | |-------|------|-------------| | `city` | String | City name | | `address` | String | Short address | | `longAddress` | String | Full address | | `locality` | String | Locality / neighbourhood name | | `sublocality` | String | Sub-locality | | `housingRegion` | String | Housing.com region (e.g. "South Mumbai") | | `state` | String | State name | | `latitude` | Float | GPS latitude | | `longitude` | Float | GPS longitude | | `localityUuid` | String | Housing.com locality UUID | | `cityUuid` | String | Housing.com city UUID | #### Content | Field | Type | Description | |-------|------|-------------| | `title` | String | Listing title | | `subtitle` | String | Configuration summary | | `description` | String | Full text description | #### Property specs | Field | Type | Description | |-------|------|-------------| | `bedrooms` | Integer | BHK count | | `bathrooms` | Integer | Bathroom count | | `parking` | Integer | Parking count | | `builtUpArea` | Float | Built-up area value | | `builtUpAreaUnit` | String | Area unit (`sq.ft`, `sq.m`) | | `carpetArea` | String | Carpet area (where available) | | `areaRaw` | String | Raw area string | | `areaSqft` | Float | Area in sq ft (parsed) | | `balconyCount` | String | Balcony count | | `floorNumber` | String | Floor info (e.g. "12 of 24 floors") | | `facing` | String | Main entrance facing direction | | `ageOfProperty` | String | Age of property | | `furnishingType` | String | Furnishing status | | `isNegotiable` | Boolean | Price is negotiable | #### Pricing | Field | Type | Description | |-------|------|-------------| | `price` | Integer | Price in INR (paise for rent) | | `priceDisplay` | String | Formatted price (e.g. "1.05 L") | #### Status flags | Field | Type | Description | |-------|------|-------------| | `verificationStatus` | String | e.g. `DC_VERIFIED` | | `isVerified` | Boolean | Listing is verified | | `isVerifiedProperty` | Boolean | Property is independently verified | | `isReraVerified` | Boolean | RERA-approved project | | `isMyGateCertified` | Boolean | MyGate-certified building | | `isExclusiveProperty` | Boolean | Exclusive listing | | `isTitanium` | Boolean | Premium/Titanium listing | | `isMostContacted` | Boolean | High-demand listing | | `isRecentlyAdded` | Boolean | Added recently | | `isUc` | Boolean | Under construction | | `isActiveProperty` | Boolean | Currently active | | `isBrokerageChargeable` | Boolean | Brokerage applies | #### Dates | Field | Type | Description | |-------|------|-------------| | `postedDate` | String | ISO 8601 posted date | | `updatedAt` | String | ISO 8601 last updated | | `updatedAtStr` | String | Human readable (e.g. "today") | #### Media | Field | Type | Description | |-------|------|-------------| | `imageCount` | Integer | Total image count | | `coverImageUrl` | String | Cover image URL | | `photoUrls` | Array | Up to 6 photo URLs | #### Seller | Field | Type | Description | |-------|------|-------------| | `sellerFirm` | String | Firm or seller name | | `sellerType` | String | `Owner`, `Developer`, `Broker` | | `sellerCount` | Integer | Number of sellers | #### Tags & extras | Field | Type | Description | |-------|------|-------------| | `saleTag` | String | Promotional tag | | `label` | String | Display label | | `badge` | String | Badge text | | `propertyTags` | Array | Property tags | | `highlights` | Array | Highlight strings | | `features` | Array | Feature labels | | `entityProjectName` | String | Project name | | `boostedAs` | String | Boost category | | `reviewRating` | Float | Review rating | #### Nearby & virtual | Field | Type | Description | |-------|------|-------------| | `nearByPlaces` | Array | `{name, distance}` objects | | `videoTourUrl` | String | Video tour URL | | `digitourUrl` | String | 3D digital tour URL | #### Meta | Field | Type | Description | |-------|------|-------------| | `source` | String | Always `housing.com` | | `scrapedAt` | String | ISO 8601 scrape timestamp | --- ### 💰 Pricing **$0.80 per 1,000 results** — charged only for successfully retrieved listings. | Results | Cost | |---------|------| | 100 | ~$0.08 | | 1,000 | ~$0.80 | | 10,000 | ~$8.00 | # Actor input Schema ## `cities` (type: `array`): City slugs to scrape. Valid values: mumbai, bengaluru, new-delhi, hyderabad, pune, kolkata, chennai, gurgaon, noida, ahmedabad, navi-mumbai ## `transactionTypes` (type: `array`): One or both of: buy, rent ## `maxResults` (type: `integer`): Maximum total listings to return (0 = unlimited) ## `maxPagesPerCity` (type: `integer`): Maximum result pages to fetch per city+transaction combination (30 listings/page) ## `pageSize` (type: `integer`): Listings per API page (10–30 recommended) ## `proxyConfiguration` (type: `object`): Proxy ## Actor input object example ```json { "cities": [ "mumbai", "bengaluru", "new-delhi", "hyderabad", "pune" ], "transactionTypes": [ "buy", "rent" ], "maxResults": 500, "maxPagesPerCity": 40, "pageSize": 30, "proxyConfiguration": {} } ```` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("unfenced-group/housing-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → 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 = {} # Run the Actor and wait for it to finish run = client.actor("unfenced-group/housing-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call unfenced-group/housing-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/housing-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Housing.com India Property Scraper", "description": "Scrape buy/rent property listings from Housing.com India. Prices, GPS, BHK, area, RERA, photos.", "version": "0.0", "x-build-id": "Ov7oUlYxOc6HoMoqa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~housing-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-housing-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~housing-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-housing-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~housing-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-housing-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "cities": { "title": "Cities", "type": "array", "description": "City slugs to scrape. Valid values: mumbai, bengaluru, new-delhi, hyderabad, pune, kolkata, chennai, gurgaon, noida, ahmedabad, navi-mumbai", "default": [ "mumbai", "bengaluru", "new-delhi", "hyderabad", "pune" ] }, "transactionTypes": { "title": "Transaction types", "type": "array", "description": "One or both of: buy, rent", "default": [ "buy", "rent" ] }, "maxResults": { "title": "Max results", "type": "integer", "description": "Maximum total listings to return (0 = unlimited)", "default": 500 }, "maxPagesPerCity": { "title": "Max pages per city/tx", "type": "integer", "description": "Maximum result pages to fetch per city+transaction combination (30 listings/page)", "default": 40 }, "pageSize": { "title": "Page size", "type": "integer", "description": "Listings per API page (10–30 recommended)", "default": 30 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy", "default": {} } } }, "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 } } } } } } } } } } ```