# 99 Property Search Scraper (`stealth_mode/99-property-search-scraper`) Actor Scrape Singapore property listings from 99.co with ease. Extract prices, agent info, MRT proximity, photos, attributes, and 20+ fields per listing — perfect for real estate analysts, investors, and proptech developers. - **URL**: https://apify.com/stealth\_mode/99-property-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## 99.co Property Search Scraper: Extract Singapore Real Estate Listings --- ### What Is 99.co? 99.co is one of Southeast Asia's leading property portals, focused primarily on Singapore's real estate market. It aggregates thousands of residential and commercial listings for sale and rent, complete with agent contacts, pricing, and location data. Manually collecting this data at scale is impractical — the **99.co Property Search Scraper** automates extraction from search result pages, delivering structured records ready for analysis. --- ### Overview The **99.co Property Scraper** targets search/listing pages and extracts every visible property card, including pricing signals, agent details, MRT commute data, photos, and listing metadata. It suits: - **Real estate investors** tracking market pricing and inventory - **Proptech developers** building aggregators or comparison tools - **Market researchers** analyzing Singapore residential supply and demand - **Agents and agencies** monitoring competitor listings --- ### Input Format The scraper accepts a JSON configuration: ```json { "urls": [ "https://www.99.co/singapore/sale?name=Singapore&page_num=1&property_segments=residential&query_ids=singapore&query_name=Singapore&query_type=city&rental_type=all" ], "ignore_url_failures": true, "max_items_per_url": 50 } ```` | Field | Type | Description | |---|---|---| | `urls` | `array` | One or more 99.co property search/list page URLs. Supports bulk input. Each URL should be a fully formed search URL including filters (e.g., `property_segments`, `rental_type`, `query_type`). | | `ignore_url_failures` | `boolean` | If `true`, the scraper continues when a URL fails instead of halting the entire run. Recommended for bulk jobs. Default: `true`. | | `max_items_per_url` | `integer` | Maximum number of listings to collect per URL. Useful for controlling run cost and data volume. Default: `20`. | > **Tip:** Use the `page_num` query parameter in your URL to paginate through results. Build multiple URLs for pages 1–N and add them all to the `urls` array. *** ### Output Format #### Sample Record (abbreviated) ```json { "tags": null, "price_tags": null, "flags": { "user_seen": false, "user_shortlisted": false, "is_free_listing": false }, "photo_urls": [ "https://pic2.99.co/v3/3JfKas8DWitm8vRZA6ZWum?text=Cassandra+Tee&sampling=lanczos&version=1&height=600&width=800&mode=fill&quality=80&convert_if_png=true&signature=b6d9e7c85a6c66630ab322fff670fd1c58ba28bc", "https://pic2.99.co/v3/72vh94T5iJJEo78KwvQLMk?text=Cassandra+Tee&sampling=lanczos&version=1&height=600&width=800&mode=fill&quality=80&convert_if_png=true&signature=77800847d8f91cf0da65aa7cd016bce91478bc9c", "https://pic2.99.co/v3/ewz2VYmrqY4aqU5KWapKcm?text=Cassandra+Tee&sampling=lanczos&version=1&height=600&width=800&mode=fill&quality=80&convert_if_png=true&signature=14530369adda69625de6ef15610af0d9a226c70d", "https://pic2.99.co/v3/o4WghdrNNMJGtv9fSy2m4R?text=Cassandra+Tee&sampling=lanczos&version=1&height=600&width=800&mode=fill&quality=80&convert_if_png=true&signature=8f9d9acb0bf8d2b170d27425209e3f76837b5ea8", "https://pic2.99.co/v3/T3W8LiwbArj93UAhuEWfHB?text=Cassandra+Tee&sampling=lanczos&version=1&height=600&width=800&mode=fill&quality=80&convert_if_png=true&signature=37183b2e05ca198cffde608ef35d154e5485d5d7", "https://pic2.99.co/v3/z9JoR8iYNkh6ZGSfyJYKM3?text=Cassandra+Tee&sampling=lanczos&version=1&height=600&width=800&mode=fill&quality=80&convert_if_png=true&signature=5445c8ad9a6924706e930cfa284bbcbafbab7786" ], "attributes": { "listing_id": "4YihZX5cHanmjGk7VJTJfm", "main_category": "condo", "sub_category": "executive_condo", "formatted_sub_category": null, "price": { "value": 2100000, "unit": "S$", "formatted_string": "S$ 2,100,000" }, "psf": { "value": "S$ 1,445", "unit": "psf", "formatted_string": "S$ 1,445 psf" }, "beds": { "value": "4", "unit": "Beds", "formatted_string": "4 Beds" }, "bathrooms": { "value": 2, "unit": "Baths", "formatted_string": "2 Baths" }, "floorarea_sqft": { "value": 1453, "unit": "sqft", "formatted_string": "1,453 sqft" }, "buildup_sqft": null, "landarea_sqft": null, "top": "2017", "furnishing": null, "lease_type": "99 yrs", "photo_counts": 5, "floor_plan_count": 1, "video_count": 0, "listing_status": "must_see", "posted_at_formatted": "1s", "posted_at": 1778551520369767, "published_at": 1772553637330955, "formatted_address": "21 Anchorvale Crescent 544654", "highlights": null, "est_mortgage_formatted": "Est. Mortgage S$ 7,519/mo", "lat": 1.3994431993210399, "lng": 103.89086398894534, "fitting": null, "property_segment": "residential", "neighbourhood_name": "Anchorvale", "region_name": "North-East Region" }, "listing_title": "4 Bed Executive Condo for Sale in Bellewaters", "listing_title_formatted": [ { "text": "4 Bed Executive Condo for Sale in ", "font_weight": "medium", "url": null }, { "text": "Bellewaters", "font_weight": "extra_bold", "url": null } ], "commute_nearest_mrt": { "name": "Farmway LRT", "mrt_tags": [ { "text": "SW 2", "color": "#668172" } ], "duration": { "value": 5, "unit": "mins", "formatted_string": "5 mins" }, "distance": { "value": 322, "unit": "m", "formatted_string": "322m" }, "commute_type": "walk", "url": "/singapore/mrt-stations/farmway-mrt" }, "agent": { "name": "Cassandra Tee", "photo_url": "https://pic2.99.co/v3/xZfvFk5ryENjeqaDG4TZLH?sampling=lanczos&version=1&height=120&width=120&mode=fill&quality=70&signature=1d6a92d809ff769ecce162adfacc220f9e8bbbe4", "is_recommended": true, "phone": "+6598576569", "id": "V6gA8DsBMuF4ZXanfLRPk", "is_premium": true, "whatsapp": "+6598576569", "listing_posted_at_formatted": "Listed 7 seconds ago by", "is_corporate": false }, "enquiry_options": [ { "whatsapp_option": "Hey Cassandra Tee! I saw your listing on 99.co and would like to check the availability for Bellewaters, 21 Anchorvale Crescent (For SALE S$ 2,100,000 - 4 Bedrooms, 1,453 sqft, $1,445 psf).\n\nPlease acknowledge. Thank you! https://www.99.co/singapore/sale/property/bellewaters-condo-4YihZX5cHanmjGk7VJTJfm" } ], "enquiry_flags": { "is_call_allowed": true, "is_regular_enquiry_allowed": true, "is_whatsapp_enquiry_allowed": true }, "listing_url": "/singapore/sale/property/bellewaters-condo-4YihZX5cHanmjGk7VJTJfm", "is_enquiry_checkbox_visible": true, "usp_tags": [ "Spacious Layout", "Near Primary School", "Family Friendly", "Near Shopping Centre", "Groceries Nearby", "Executive Condominium" ], "position": 1, "searched_id": "b2ee0d04-aaf0-4033-98dd-68c9b0addbd5", "id": "4YihZX5cHanmjGk7VJTJfm", "listing_type": "sale", "rental_type": "all", "property_segments": "residential" } ``` Each listing returns a record with 20+ fields: #### Listing Identity | Field | Meaning | |---|---| | `ID` | Unique internal 99.co listing identifier | | `Searched ID` | ID as returned in the search context | | `Listing Title` | Raw listing title (e.g., "3 Bedroom Condo at Orchard Road") | | `Listing Title Formatted` | Display-ready formatted version of the title | | `Listing URL` | Direct link to the full listing detail page | | `Position` | Rank/position of the listing in search results | #### Pricing & Classification | Field | Meaning | |---|---| | `Price Tags` | Price labels such as asking price, PSF (price per square foot), or estimated mortgage | | `Listing Type` | Sale or rent classification | | `Rental Type` | Rental sub-type (e.g., whole unit, room) | | `Property Segments` | Residential, commercial, or HDB segment | | `Tags` | General tags attached to the listing (e.g., "New Launch", "Below Valuation") | | `USP Tags` | Unique selling point labels highlighted by the agent or platform | | `Flags` | System-level flags (e.g., featured, sponsored, verified) | #### Property Details | Field | Meaning | |---|---| | `Attributes` | Key property specs — typically includes bedroom count, bathroom count, floor area (sqft/sqm), and floor level | | `Photo URLs` | Array of listing image URLs for downloading or display | | `Commute Nearest MRT` | Name and estimated travel time to the nearest MRT station — useful for location scoring | #### Agent & Enquiry | Field | Meaning | |---|---| | `Agent` | Agent name, profile URL, agency, and contact metadata | | `Enquiry Options` | Available contact methods (e.g., call, WhatsApp, email) | | `Enquiry Flags` | Flags controlling enquiry behavior (e.g., direct contact enabled) | | `Is Enquiry Checkbox Visible` | Boolean — whether a checkbox to select the listing for bulk enquiry is shown | *** ### How to Use 1. **Build your search URL** — Go to 99.co, apply your filters (district, property type, price range, etc.), and copy the resulting URL from your browser. 2. **Set pagination** — Add multiple URLs with `page_num=1`, `page_num=2`, etc. to cover more results. 3. **Configure limits** — Set `max_items_per_url` based on your data needs (up to 50 per page is typical for 99.co search results). 4. **Run and export** — Start the scraper and download results as JSON or CSV. **Tips:** - Filter by `property_segments=residential` or `hdb` to segment your data cleanly. - Use `rental_type=all` to capture both monthly and short-term rental listings in one pass. - If a URL returns 0 results, verify it loads correctly in a browser first — session-dependent URLs may expire. *** ### Use Cases & Business Value - **Price trend analysis:** Track asking prices by district, bedroom count, or PSF over time - **MRT proximity scoring:** Use `Commute Nearest MRT` to build location-quality indexes - **Agent benchmarking:** Analyze which agents or agencies dominate specific submarkets - **Listing aggregation:** Feed data into internal dashboards or proptech platforms The 99.co Property Search Scraper eliminates hours of manual browsing, producing consistent, machine-readable datasets that plug directly into Excel, Python, or BI tools. *** ### Conclusion The **99.co Property Search Scraper** is a practical tool for anyone needing Singapore real estate data at scale. With 20+ output fields covering price, location, agent, and listing attributes, it delivers the depth required for serious market analysis. Configure your search URL, set your limits, and start extracting. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the property list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://www.99.co/singapore/sale?name=Singapore&page_num=1&property_segments=residential&query_ids=singapore&query_name=Singapore&query_type=city&rental_type=all" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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 = { "urls": [ "https://www.99.co/singapore/sale?name=Singapore&page_num=1&property_segments=residential&query_ids=singapore&query_name=Singapore&query_type=city&rental_type=all" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/99-property-search-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 = { "urls": ["https://www.99.co/singapore/sale?name=Singapore&page_num=1&property_segments=residential&query_ids=singapore&query_name=Singapore&query_type=city&rental_type=all"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/99-property-search-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 '{ "urls": [ "https://www.99.co/singapore/sale?name=Singapore&page_num=1&property_segments=residential&query_ids=singapore&query_name=Singapore&query_type=city&rental_type=all" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/99-property-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/99-property-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "99 Property Search Scraper", "description": "Scrape Singapore property listings from 99.co with ease. Extract prices, agent info, MRT proximity, photos, attributes, and 20+ fields per listing — perfect for real estate analysts, investors, and proptech developers.", "version": "0.0", "x-build-id": "VgaczOelx3qlDLPMD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~99-property-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-99-property-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~99-property-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-99-property-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~99-property-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-99-property-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "URLs of the property list urls to scrape", "type": "array", "description": "Add the URLs of the property list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```