# 8prop Property Intelligence Scraper (`alwaysprimedev/8prop-scraper`) Actor Scrape rich Singapore property project data (HDB, condo, landed) from 8prop.com โ€” sale & rent valuations, transaction history, unit mix, photos, amenities, developer info. - **URL**: https://apify.com/alwaysprimedev/8prop-scraper.md - **Developed by:** [Always Prime](https://apify.com/alwaysprimedev) (community) - **Categories:** Automation, Real estate, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 ## 8prop Scraper ๐Ÿ ๐Ÿ“Š **Singapore property intelligence at API speed.** Pull rich project records from [8prop.com](https://8prop.com) โ€” sale & rent valuations, PSF, transaction history, unit mix, photos, amenities, developer info โ€” straight into a clean JSON / CSV / Excel dataset. ![Apify](https://img.shields.io/badge/Apify-โœ“-green) ![Python](https://img.shields.io/badge/python-3.11-blue) ![JSON](https://img.shields.io/badge/output-JSON%20%7C%20CSV%20%7C%20Excel-orange) ### Why this scraper โšก๏ธ - ๐Ÿง  **80+ structured fields per project** โ€” everything 8prop's UI shows, ready for analysis - ๐Ÿš€ **Pure-HTTP, ~1s per project** โ€” no headless browser, no premium proxies needed - ๐Ÿ” **Auto-discover similar projects** โ€” one seed URL can fan out to hundreds of comparable properties - ๐Ÿ  **Works for HDB, condo, landed, mixed-use** โ€” single schema across every property type - ๐Ÿ’ธ **Pay only for what you scrape** โ€” $0.50 per 1,000 records, no monthly minimum ### Quick start ๐Ÿš€ 1. **Click "Try for free"** on the actor page 2. **Paste 8prop URLs** into the *Project URLs* field โ€” copy them straight from the 8prop site (e.g. `https://8prop.com/project/sg/condo/silversea-3009187`) 3. **Hit "Start"** โ€” the run completes in seconds for small batches, minutes for hundreds of records 4. **Download** as JSON, CSV, or Excel from the output tab That's it โ€” no proxy setup, no anti-bot dance, no schema wrangling. ### Input options ๐Ÿ“ฆ | Field | Description | | --- | --- | | `startUrls` | One or more 8prop project URLs (full URLs, paths, or slugs all work). The minimum input. | | `maxItems` | Cap on records pushed. Default 50; set 0 for unlimited (combine with `crawlComparables`). | | `crawlComparables` | When enabled, follows the "comparable projects" graph from each seed โ€” every project links to ~10 similar ones, so a single seed can reach hundreds of related properties. | | `concurrency` | Parallel fetches. Default 5, max 25. Raise it for speed; lower it if you ever see warnings. | ### Sample output ๐Ÿ’Ž ```json { "url": "https://8prop.com/project/sg/condo/silversea-3009187", "id": "f8ca6e4bbb4ea2a6acf60cac7f2c06b2", "scraped_at": "2026-05-15T00:50:00.123456+00:00", "display_name": "Silversea", "property_group": "condo", "property_type": "condo", "project_status": "completed", "address": { "address_display": "Silversea, 50 Marine Parade Road", "street_name": "Marine Parade Road", "location_display": "D15 โ€ข Marine Parade โ€ข Marine Parade", "latitude": 1.300893, "longitude": 103.906751 }, "tenure_years": 99, "tenure_type": "leasehold", "build_date": "2014-01-01", "unit_count": 383, "num_units_available": 18, "sale_value_psf": 2170, "sale_value_price": 3120000, "rent_value_psf": 5.4, "rent_value_price": 7800, "median_monthly_rent_yield": 2.99, "last30d_sale_listing_count": 12, "last30d_rent_listing_count": 31, "developer": { "name": "Far East Organization", "incorporation_year": 1960, "slug": "company/sg/property-developer/far-east-organization" }, "land": { "size_sqm": 27531.4, "land_use": "residential", "gross_plot_ratio": 2.8, "max_floor_count": 25 }, "photos": [ {"url": "https://...", "type": "general", "subtype": "exterior-building"} ], "amenities": [ {"name": "Marine Parade MRT", "type": "transportation", "subtype": "mrt station", "distance_m": 320, "time_min": 4} ], "unit_mixes": [ {"label": "2-bed", "unit_count": 84, "sale_value_psf": 2050, "rent_value_psf": 5.2, "monthly_rent_yield": 3.04} ] } ```` ### Use cases ๐Ÿ’ผ | Who | What they get | | --- | --- | | ๐Ÿ˜๏ธ **Property investors** | PSF trends, rent yields, transaction volumes โ€” find under-priced districts and projects with momentum | | ๐Ÿค **Real estate agents** | Bulk comparables for pricing pitches; nearby-amenity overlays for listings | | ๐Ÿ“ˆ **PropTech & analytics teams** | Clean dataset for valuation models, time-series trend dashboards, market reports | | ๐Ÿงช **ML / data teams** | Rich training data โ€” 80+ numeric fields per project, geocoded, with developer & land metadata | | ๐Ÿ—๏ธ **Developers / land bankers** | Plot-ratio, max-GFA, max-floor-count for every parcel; cross-reference completed comparables | ### Tips & tricks ๐Ÿงฐ - ๐Ÿ’ก **Start small** โ€” run with 5 URLs first to confirm the fields you want are there, then scale up. - ๐Ÿ” **Use `crawlComparables` for market sweeps** โ€” paste 3โ€“5 seed URLs in your district of interest and let the BFS pull surrounding comparables. - ๐ŸŒ **Locale URLs** (`/en-AU/project/...`, `/zh-CH/project/...`) are auto-normalised โ€” paste anything. - ๐Ÿ“ฅ **Export to Google Sheets** with the Excel format โ€” every numeric column is typed correctly. ### FAQ โ“ **Does it work for HDB and landed too?** Yes. The same scraper handles HDB, condo, landed, mixed-use โ€” every property type 8prop covers, with a single schema. **How fresh is the data?** Each run hits 8prop live โ€” you get the same numbers a human visitor would see at that moment. **Why not provide a search filter (price range, district)?** 8prop's own search runs entirely in the user's browser without exposing a public list endpoint. The most reliable way to enumerate is via the comparables graph (`crawlComparables: true`) starting from a seed in the area you care about. **What about images?** Photo URLs are returned in the `photos` array, ready to download separately. The scraper itself doesn't fetch image bytes (keeps cost low). ### Pricing ๐Ÿ’ฐ **$0.50 per 1,000 records, pay-per-result.** No subscription, no monthly minimum. You only pay for records pushed to the dataset โ€” failed fetches and dedup-skips are free. *** Built and maintained on [Apify](https://apify.com). Found a bug or want a new field exposed? Open an issue on the actor page. # Actor input Schema ## `startUrls` (type: `array`): One or more 8prop project URLs to scrape. Each URL should look like https://8prop.com/project/sg/condo/silversea-3009187 or /project/sg/hdb/blk-626-hougang-avenue-8-3392695. You can also paste a project slug. Locale prefixes such as /en-AU/ are normalised away. ## `maxItems` (type: `integer`): Maximum number of project records to scrape. Use 0 to scrape every URL the run discovers (only useful with crawlComparables enabled). Default 50. ## `crawlComparables` (type: `boolean`): When enabled, the scraper follows the 'comparable projects' graph from each seed URL โ€” every project page lists ~10 nearby comparables (same district / property type), letting one seed URL fan out to hundreds of similar properties. Stops at maxItems. ## `concurrency` (type: `integer`): Number of concurrent fetches. 5 is a polite default; raise it for speed on large runs, lower it if you hit rate limiting. Hard cap is 25. ## Actor input object example ```json { "startUrls": [ { "url": "https://8prop.com/project/sg/condo/h2o-residences-3009814" }, { "url": "https://8prop.com/project/sg/condo/silversea-3009187" }, { "url": "https://8prop.com/project/sg/hdb/blk-626-hougang-avenue-8-3392695" } ], "maxItems": 50, "crawlComparables": false, "concurrency": 5 } ``` # Actor output Schema ## `listings` (type: `string`): No description ## `listingsCsv` (type: `string`): No description ## `listingsXlsx` (type: `string`): No description ## `consoleView` (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 = { "startUrls": [ { "url": "https://8prop.com/project/sg/condo/h2o-residences-3009814" }, { "url": "https://8prop.com/project/sg/condo/silversea-3009187" }, { "url": "https://8prop.com/project/sg/hdb/blk-626-hougang-avenue-8-3392695" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("alwaysprimedev/8prop-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 = { "startUrls": [ { "url": "https://8prop.com/project/sg/condo/h2o-residences-3009814" }, { "url": "https://8prop.com/project/sg/condo/silversea-3009187" }, { "url": "https://8prop.com/project/sg/hdb/blk-626-hougang-avenue-8-3392695" }, ] } # Run the Actor and wait for it to finish run = client.actor("alwaysprimedev/8prop-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 '{ "startUrls": [ { "url": "https://8prop.com/project/sg/condo/h2o-residences-3009814" }, { "url": "https://8prop.com/project/sg/condo/silversea-3009187" }, { "url": "https://8prop.com/project/sg/hdb/blk-626-hougang-avenue-8-3392695" } ] }' | apify call alwaysprimedev/8prop-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=alwaysprimedev/8prop-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "8prop Property Intelligence Scraper", "description": "Scrape rich Singapore property project data (HDB, condo, landed) from 8prop.com โ€” sale & rent valuations, transaction history, unit mix, photos, amenities, developer info.", "version": "0.1", "x-build-id": "EU8W1BLu344ELQS6p" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/alwaysprimedev~8prop-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-alwaysprimedev-8prop-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/alwaysprimedev~8prop-scraper/runs": { "post": { "operationId": "runs-sync-alwaysprimedev-8prop-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/alwaysprimedev~8prop-scraper/run-sync": { "post": { "operationId": "run-sync-alwaysprimedev-8prop-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Project URLs", "type": "array", "description": "One or more 8prop project URLs to scrape. Each URL should look like https://8prop.com/project/sg/condo/silversea-3009187 or /project/sg/hdb/blk-626-hougang-avenue-8-3392695. You can also paste a project slug. Locale prefixes such as /en-AU/ are normalised away.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max items", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Maximum number of project records to scrape. Use 0 to scrape every URL the run discovers (only useful with crawlComparables enabled). Default 50.", "default": 50 }, "crawlComparables": { "title": "Discover similar projects", "type": "boolean", "description": "When enabled, the scraper follows the 'comparable projects' graph from each seed URL โ€” every project page lists ~10 nearby comparables (same district / property type), letting one seed URL fan out to hundreds of similar properties. Stops at maxItems.", "default": false }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 25, "type": "integer", "description": "Number of concurrent fetches. 5 is a polite default; raise it for speed on large runs, lower it if you hit rate limiting. Hard cap is 25.", "default": 5 } } }, "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 } } } } } } } } } } ```