# EdgeProp Singapore Scraper (`unfenced-group/edgeprop-sg-scraper`) Actor Scrape property listings from EdgeProp Singapore — sale and rent across HDB, condo, landed, and commercial. No proxy required. - **URL**: https://apify.com/unfenced-group/edgeprop-sg-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 result items 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 ## EdgeProp Singapore Scraper ![EdgeProp Singapore Scraper](https://api.apify.com/v2/key-value-stores/lJlifu6C8YQfZMPKE/records/edgeprop-sg-scraper) Extract property listings from **EdgeProp Singapore** — Singapore's leading property portal. Covers sale and rent listings across HDB, landed, and commercial categories. Runs without a proxy on standard compute. ### Features - **6 listing categories**: all-for-sale, HDB-for-sale, landed-for-sale, commercial-for-sale, all-for-rent, HDB-for-rent - **Rich output**: 35+ fields including price, PSF, bedrooms, bathrooms, floor area, district, postal code, tenure, images, MRT and school insights - **HTTP-only**: no proxy required — low cost, fast extraction - **Pagination**: automatically iterates all pages up to the result limit ### Input parameters | Parameter | Type | Default | Description | |---|---|---|---| | `categories` | array | `["all-sale"]` | Listing categories to scrape | | `maxItems` | integer | `100` | Max listings to extract. `0` = unlimited | | `requestDelayMs` | integer | `1200` | Delay between page requests (ms) | **Available categories:** `all-sale`, `hdb-sale`, `landed-sale`, `commercial-sale`, `all-rent`, `hdb-rent` ### Output schema | Field | Type | Description | |---|---|---| | `listingId` | string | Unique listing ID | | `url` | string | Listing detail page URL | | `operationType` | string | `sale` or `rent` | | `propertyType` | string | HDB, Apartment/Condo, Landed, etc. | | `propertySubType` | string | Specific sub-type (e.g. "3-Room Improved") | | `priceText` | string | Price as displayed (e.g. "SGD 378,000") | | `priceAmount` | integer | Numeric price in SGD | | `priceCurrency` | string | Always "SGD" | | `pricePerSqftSGD` | integer | Price per square foot | | `projectName` | string | Development or block name | | `streetName` | string | Street name | | `postalCode` | string | 6-digit Singapore postal code | | `district` | string | Planning district number | | `bedrooms` | integer | Number of bedrooms | | `bathrooms` | integer | Number of bathrooms | | `floorAreaSqft` | number | Floor area in square feet | | `floorAreaSqm` | number | Floor area in square metres | | `tenure` | string | 99-year, freehold, etc. | | `isNewLaunch` | boolean | Whether listed as new launch | | `insights` | array | MRT proximity, school count, amenities | | `images` | array | Image URLs | | `agentName` | string | Listing agent name | | `agencyName` | string | Real estate agency | | `updatedAt` | string | ISO timestamp of last update | | `scrapedAt` | string | ISO timestamp of extraction | ### Sample output ```json { "listingId": "m_2172245", "url": "https://www.edgeprop.sg/listing/hdb/3i(improved)/128-BUKIT-MERAH-VIEW/m_2172245", "operationType": "sale", "propertyType": "HDB", "propertySubType": "3-Room Improved", "priceText": "SGD 378,000", "priceAmount": 378000, "priceCurrency": "SGD", "pricePerSqftSGD": 462, "projectName": "128 BUKIT MERAH VIEW", "streetName": "Bukit Merah View", "postalCode": "150128", "district": "3", "bedrooms": 2, "bathrooms": 2, "floorAreaSqft": 818, "floorAreaSqm": 76.0, "tenure": "99 years", "isNewLaunch": false, "insights": ["1 MRT/LRT nearby", "5 Primary Schools within 1km", "1 Mall nearby"], "images": ["https://img.tepcdn.com/..."], "agentName": "Zong Han Goh", "agencyName": "PROPNEX REALTY PTE. LTD.", "scrapedAt": "2026-06-05T10:30:00.000Z" } ```` ### Pricing **$0.80 per 1,000 results** — you only pay for successfully extracted listings. | Results | Cost | |---|---| | 100 | ~$0.08 | | 1,000 | ~$0.80 | | 10,000 | ~$8.00 | | 100,000 | ~$80.00 | ### Technical details - **Stack**: HTTP-only (axios + cheerio), Next.js NEXT\_DATA extraction - **Proxy**: Not required - **Memory**: 512 MB - **Source**: EdgeProp Singapore (edgeprop.sg) *** ### Need a custom scraper? **[Unfenced Group](https://www.unfencedgroup.nl)** builds Apify actors for any website — for free. If the site you need isn't in our portfolio yet, just ask. We scope, build, and publish it at no cost to you. You only pay for results — we absorb the compute and proxy costs ourselves. Same pay-per-result pricing, same quality, same standards as every actor in this portfolio. **Get in touch:** [www.unfencedgroup.nl](https://www.unfencedgroup.nl) # Actor input Schema ## `minPrice` (type: `integer`): Minimum listing price (local currency). Leave empty for no minimum. ## `maxPrice` (type: `integer`): Maximum listing price (local currency). Leave empty for no maximum. ## `daysOld` (type: `integer`): Only return listings published within the last N days. Leave empty for no recency filter. ## `fetchDetails` (type: `boolean`): If true, opens each listing detail page to extract additional fields (description, floor plan, agent contact). Increases run time and cost. ## `maxItems` (type: `integer`): Maximum number of listings to extract per run. Set to 0 for unlimited. ## `startUrls` (type: `array`): Optional list of search-results page URLs. When provided, all filter fields above are ignored. ## `categories` (type: `array`): Which listing categories to scrape. Multiple selection allowed. ## `requestDelayMs` (type: `integer`): Milliseconds to wait between page requests. Increase to reduce server load. ## Actor input object example ```json { "fetchDetails": false, "maxItems": 100, "startUrls": [], "categories": [ "all-sale" ], "requestDelayMs": 1200 } ``` # 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/edgeprop-sg-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/edgeprop-sg-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/edgeprop-sg-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/edgeprop-sg-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EdgeProp Singapore Scraper", "description": "Scrape property listings from EdgeProp Singapore — sale and rent across HDB, condo, landed, and commercial. No proxy required.", "version": "0.0", "x-build-id": "5HcauSmyg7GtEyRRS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~edgeprop-sg-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-edgeprop-sg-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~edgeprop-sg-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-edgeprop-sg-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~edgeprop-sg-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-edgeprop-sg-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "minPrice": { "title": "Min price", "minimum": 0, "type": "integer", "description": "Minimum listing price (local currency). Leave empty for no minimum." }, "maxPrice": { "title": "Max price", "minimum": 0, "type": "integer", "description": "Maximum listing price (local currency). Leave empty for no maximum." }, "daysOld": { "title": "Max listing age (days)", "minimum": 0, "type": "integer", "description": "Only return listings published within the last N days. Leave empty for no recency filter." }, "fetchDetails": { "title": "Fetch listing details", "type": "boolean", "description": "If true, opens each listing detail page to extract additional fields (description, floor plan, agent contact). Increases run time and cost.", "default": false }, "maxItems": { "title": "Max results", "minimum": 0, "type": "integer", "description": "Maximum number of listings to extract per run. Set to 0 for unlimited.", "default": 100 }, "startUrls": { "title": "Start URLs (overrides filters)", "type": "array", "description": "Optional list of search-results page URLs. When provided, all filter fields above are ignored.", "items": { "type": "object" }, "default": [] }, "categories": { "title": "Property categories", "type": "array", "description": "Which listing categories to scrape. Multiple selection allowed.", "items": { "type": "string", "enum": [ "all-sale", "hdb-sale", "landed-sale", "commercial-sale", "all-rent", "hdb-rent" ], "enumTitles": [ "All for sale", "HDB for sale", "Landed for sale", "Commercial for sale", "All for rent", "HDB for rent" ] }, "default": [ "all-sale" ] }, "requestDelayMs": { "title": "Request delay (ms)", "minimum": 500, "type": "integer", "description": "Milliseconds to wait between page requests. Increase to reduce server load.", "default": 1200 } } }, "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 } } } } } } } } } } ```