CommercialGuru SG Scraper: Prices, PSF, Agents & Coordinates

CommercialGuru SG Scraper turns commercialguru.com.sg into a clean commercial property data API. Get office, retail, warehouse, factory, land and 6 other Singapore commercial property types for sale or for rent, with price, price per square foot, floor area, tenure, agent contacts, district and nearest MRT station. Search by filters or paste your own CommercialGuru links, add exact coordinates and full listing-page detail on demand, then export to JSON, CSV or Excel, or pull the results straight into your app through the API.

Why This Scraper?

• Two ways to collect data. Build a search from filters (listing type, property type, district, price, floor area) or paste CommercialGuru search and listing URLs directly.
• 11 commercial property types. Office, retail, shop/shophouse, warehouse, factory, industrial, land, food and beverage, business park and dormitory, both for sale and for rent.
• Coordinates on demand. Turn on coordinate enrichment to add latitude and longitude from CommercialGuru's own map data, or fetch each listing's detail page for exact coordinates plus agent phone, postal code and more.
• District-aware. Filter and read results by Singapore's D01-D28 district codes, each already mapped to a readable area name.
• Built for monitoring. Incremental mode returns only new and changed listings on recurring runs, and a blocked run fails loudly instead of returning an empty dataset.
• Resume large pulls. Point a new run at a previous run or dataset id and it skips everything already collected there.
• Multiple locations in one run. Search several districts or free-text areas at once and get one combined dataset.

Use Cases

• Commercial property investment research: collect prices, PSF and tenure across districts to compare deal quality and spot underpriced listings.
• Market intelligence and reporting: build a dataset of active office, retail and industrial supply by district for market reports.
• Lead generation for agents and brokers: pull agent names, agency and CEA license numbers alongside the listings they represent.
• Site selection and location analysis: filter warehouses and factories by floor area and proximity to MRT stations.
• Portfolio and competitor monitoring: schedule the actor with incremental mode to track new listings and price changes on a search over time.

Data You Get

Sample shape: values are illustrative placeholders, not from a live record.

Field	Example
id	500073292
title	"Novena Medical Center"
address	"10 Sample Drive"
listing_type	"sale" (or "rent")
property_type	"Office"
price / price_formatted	3800000 / "S$ 3,800,000"
price_psf	"S$ 4,973.82 psf"
floor_area / land_area	764 / 5000 (sqft)
tenure	"99-year Leasehold"
developer / is_developer_listing	"Sample Developer Pte Ltd" / false
agent_name / agent_id / agent_license	"Sample" / 1758000 / "R0123000"
agency_name	"Sample PTE LTD"
district / district_code	"Newton / Novena" / "D11"
region	"Central (D09-11)"
nearby_mrt	"2 min (170 m) from NS20 Novena MRT Station"
badges	["Office", "99-year Leasehold"]
posted_date / posted_unix	"2 Apr 2026" / 177508000
recency	"Listed on Apr 02, 2026 (30m ago)"
images / image_count	array of image URLs / 1
url	link to the listing on commercialguru.com.sg
status	"ACT"
latitude / longitude / location_source	added when coordinate enrichment or detail pages are on
changeType	incremental mode only: NEW, UPDATED, UNCHANGED, REAPPEARED or EXPIRED

With Fetch detail pages turned on, each listing also carries a full description and description_headline, postal_code, exact latitude/longitude from the listing page itself, agent_phone and agent_title, a full image gallery (beyond the 10-image card cap), structured nearby_mrt_stations and nearby_schools (each with distance and walk time), floor_level, rental_type, unit_condition, unit_features, lease_term, amenities, available_date and a detail_fetched flag; these fields are omitted, not blank, when detail fetching is off.

How to Use

1. Pick a mode: search (build a URL from filters) or url (paste CommercialGuru links).
2. In search mode, set listing type, property type, district or free-text location, and any price or floor area filters.
3. Set Max properties and Max pages to control run size and cost, and turn on coordinate or detail enrichment if you need them.
4. Click Start, then download the dataset as JSON, CSV or Excel, or read it through the API.

Search offices for rent in a district:

{
  "mode": "search",
  "listing_type": "rent",
  "property_type": "office",
  "district": "D01",
  "max_properties": 50,
  "max_pages": 5
}

Shops for sale by price and location, with coordinates:

{
  "mode": "search",
  "listing_type": "sale",
  "property_type": "shop",
  "search": "Orchard",
  "min_price": 500000,
  "max_price": 5000000,
  "enable_coordinates": true,
  "max_properties": 100
}

Warehouses by floor area, sorted by price:

{
  "mode": "search",
  "listing_type": "rent",
  "property_type": "warehouse",
  "min_floor_area": 5000,
  "max_floor_area": 20000,
  "sort": "price",
  "sort_order": "asc"
}

Scrape specific URLs with full listing detail:

{
  "mode": "url",
  "urls": [
    "https://www.commercialguru.com.sg/office-for-rent?district_code=D01",
    "https://www.commercialguru.com.sg/shop-for-sale?freetext=Orchard"
  ],
  "fetch_details": true,
  "max_properties": 50
}

Run it from your code

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("abotapi/commercialguru-sg-scraper").call(run_input={"mode": "search", "listing_type": "sale", "district": "D01"})
for listing in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(listing["title"], listing.get("price_formatted"))

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('abotapi/commercialguru-sg-scraper').call({ mode: 'search', listing_type: 'sale', district: 'D01' });
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Or connect it to Make, Zapier, n8n, Google Sheets or webhooks from the Integrations tab.

Resume and recurring updates

There are two different things here, pick the one that matches what you are doing:

Need	Use
A crawl stopped and should continue	resumeFromRunId
Run the same search every day and receive only changes	incrementalMode
Keep separate daily campaigns for similar searches	distinct stateKey values
Run a normal full snapshot	leave both off

Resume (resumeFromRunId) continues one specific interrupted or previous crawl: paste a run id or dataset id and this run skips listings already collected there, returning only the remaining new ones.

Incremental mode (incrementalMode) is for a schedule, for example daily: the actor remembers the previous run of the same search by itself, so you never paste a run id. The first run returns everything as NEW. Later runs return only NEW and UPDATED listings by default (with changedFields on UPDATED rows), and duplicates and unchanged listings are suppressed, never pushed and never billed. Turn on emitUnchanged only when you also want those rows returned and billed for. State is kept separately per search or URL and filter setup automatically; set stateKey to name or deliberately share a monitoring campaign.

REAPPEARED and EXPIRED are not produced by default. EXPIRED tombstones are only created when emitExpired is on, and only once a run has fully scanned the tracked search (not capped by Max properties or Max pages, and not a resume). REAPPEARED can then only happen to a listing that a prior run already tombstoned EXPIRED this way: without that earlier emitExpired run, a listing that briefly drops out of results and comes back later is simply classified UPDATED or left UNCHANGED against its last known values, not REAPPEARED. If you want reappearance tracking, turn emitExpired on for your scheduled runs.

Identity is tracked by id, commercialguru.com.sg's own listing id; a listing without one is dropped before it reaches change detection. One field is excluded from change detection: recency (for example "Listed on Aug 03, 2026 (2h ago)") is a relative-age string the site renders at request time, so it drifts with elapsed time alone, not real content. It is still returned in full on every row, just never used to decide UPDATED. posted_date/posted_unix, the real "when was this posted" fields, stay in change detection.

If Fetch detail pages is on and a listing's own detail-page fetch fails on a given run, that listing's detail-only fields are treated as unknown for this run, not removed: the actor carries the last successful detail snapshot forward before comparing, so a transient per-listing failure is reported UNCHANGED and never billed, and recovers cleanly once the fetch succeeds again. A genuine change to any field the fetch did return, including price, is still reported normally.

Send results into your apps (MCP connectors)

Optionally pipe the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape, the Apify dataset is never changed.

What gets written to the connector: a condensed, human-readable summary of each listing, not the full JSON. Each item becomes one entry with a title and its key fields flattened to plain text. The complete record always stays in the Apify dataset.

1. Authorize a connector once under Apify > Settings > Integrations (Notion, Linear, Airtable, or Apify).
2. Select it in the "Pipe results into your apps" input field. If the picker is empty, you have not authorized a connector yet.
3. For Notion, also set notionParentPageUrl to the page where items should be created.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip.

Input Parameters

Parameter	Type	Default	Description
mode	string	search	search (build a URL from filters) or url (use provided URLs).
listing_type	string	sale	sale or rent.
property_type	string	none	Filter by commercial property type. See Property Types below.
locations	array	none	One or more free-text locations to search; each is searched separately and results combined. Takes priority over search.
search	string	none	Single free-text location search, e.g. "Raffles Place".
district	string	none	Singapore district code D01-D28. See Districts below.
min_price	integer	none	Minimum price in SGD.
max_price	integer	none	Maximum price in SGD.
min_floor_area	integer	none	Minimum floor area in sqft.
max_floor_area	integer	none	Maximum floor area in sqft.
sort	string	date	date, price, psf or area.
sort_order	string	desc	asc or desc.
urls	array	none (prefill: one CommercialGuru sale-search URL)	CommercialGuru search or listing URLs, used in url mode.
enable_coordinates	boolean	false	Add latitude/longitude to listings from CommercialGuru's own map data. Adds roughly 30-60s to the run.
fetch_details	boolean	false	Fetch each listing's own detail page for description, agent phone, exact coordinates, postal code, full image gallery, nearby MRT and schools, lease term, condition, amenities and floor level. Slower and uses more requests.
max_properties	integer	10	Maximum listings to scrape (0 = unlimited).
max_pages	integer	5	Maximum search result pages to scrape (20 listings per page).
resumeFromRunId	string	none	Continue one specific previous run or dataset: listings already collected there are skipped. For recurring monitoring, use Incremental mode instead.
incrementalMode	boolean	false	Daily or recurring monitoring of the same search. First run returns everything as NEW; later runs return only NEW/UPDATED by default.
stateKey	string	none	Names this monitoring campaign, or leave empty to derive one automatically from the search and filter settings.
emitUnchanged	boolean	false	Also return listings unchanged since the last run, marked UNCHANGED. Adds and bills extra rows you already have.
emitExpired	boolean	false	Also return listings from a previous run no longer found, marked EXPIRED, once a run has fully scanned the search. Adds and bills extra synthetic rows, and is required for REAPPEARED tracking to ever occur.
proxy	object	none (prefill: Apify Proxy, RESIDENTIAL group, country SG)	Connection settings. The actor also defaults to a Singapore residential connection automatically when this field is left out entirely.
mcpConnectors	array	none	Optional MCP connectors (Notion, Linear, Airtable, Apify) to pipe a condensed summary of results into.
notionParentPageUrl	string	none	Notion parent page URL or id. Only used when a Notion connector is selected in mcpConnectors.
maxNotifyListings	integer	50	Cap on items written to each MCP connector per run. Does not affect the dataset.

Property Types

Code	Type
office	Office
retail	All Retail
shop	Shop / Shophouse
shophouse	Shophouse
warehouse	Warehouse
factory	Factory / Industrial
industrial	All Industrial
land	Commercial Land
food_beverage	Food & Beverage
business_park	Business / Science Park
dormitory	Dormitory

Singapore Districts

Code	Area	Code	Area
D01	Raffles Place / Marina	D15	East Coast / Marine Parade
D02	Chinatown / Tanjong Pagar	D16	Bedok / Upper East Coast
D03	Alexandra / Commonwealth	D17	Changi Airport / Changi Village
D04	Harbourfront / Telok Blangah	D18	Pasir Ris / Tampines
D05	Buona Vista / West Coast	D19	Hougang / Punggol / Sengkang
D06	City Hall / Clarke Quay	D20	Ang Mo Kio / Bishan / Thomson
D07	Beach Road / Bugis	D21	Clementi Park / Upper Bukit Timah
D08	Farrer Park / Serangoon Rd	D22	Boon Lay / Jurong / Tuas
D09	Orchard / River Valley	D23	Bukit Batok / Bukit Panjang
D10	Tanglin / Holland / Bukit Timah	D24	Lim Chu Kang / Tengah
D11	Newton / Novena	D25	Admiralty / Woodlands
D12	Balestier / Toa Payoh	D26	Mandai / Upper Thomson
D13	Macpherson / Potong Pasir	D27	Sembawang / Yishun
D14	Eunos / Geylang / Paya Lebar	D28	Seletar / Yio Chu Kang

Output Example

Sample shape: values are illustrative placeholders, not from a live record.

{
  "id": 500073292,
  "title": "Novena Medical Center",
  "address": "10 Sample Drive",
  "listing_type": "sale",
  "property_type": "Office",
  "property_type_group": "O",
  "price": 3800000,
  "price_formatted": "S$ 3,800,000",
  "currency": "SGD",
  "price_psf": "S$ 4,973.82 psf",
  "floor_area": 764,
  "tenure": "99-year Leasehold",
  "agent_name": "Sample",
  "agent_id": 1758000,
  "agent_license": "R0123000",
  "agency_name": "Sample PTE LTD",
  "district": "Newton / Novena",
  "district_code": "D11",
  "region": "Central (D09-11)",
  "nearby_mrt": "2 min (170 m) from NS20 Novena MRT Station",
  "latitude": 1.3000,
  "longitude": 103.000,
  "location_source": "map_api",
  "badges": ["Office", "99-year Leasehold"],
  "posted_date": "2 Apr 2026",
  "posted_unix": 177508000,
  "recency": "Listed on Apr 02, 2026 (30m ago)",
  "images": ["https://sg1-cdn.pgimgs.com/listing/500073292/UPHO.123456.V800/Novena-Sample.jpg"],
  "image_count": 1,
  "url": "https://www.commercialguru.com.sg/listing/for-sale-novena-medical-center-Sample",
  "status": "ACT"
}

Plan Requirement

The default connection setting works out of the box: the actor uses a Singapore residential connection automatically, and retries with a fresh connection when one is refused. Turning on coordinate enrichment or detail-page fetching adds a small per-item charge for the extra data those options return, shown on the Pricing tab alongside the base per-record rate.

FAQ

How much does it cost?

You pay per record returned, plus a small additional charge only for listings that actually receive coordinate or detail-page enrichment. Unchanged listings suppressed by incremental mode are never billed. The Pricing tab shows the current rates. Use Max properties and Max pages to cap the cost of any run.

Is it legal to scrape CommercialGuru?

This actor collects only publicly available commercial property listing data. You are responsible for how you use it: follow CommercialGuru's terms and the laws that apply to you, and get legal advice if you plan commercial redistribution. Listing facts such as price and floor area are generally data, but photos and agent contact details may be subject to third-party rights.

Can I get only new or changed listings on a schedule?

Yes. Schedule the actor from the Schedules tab and turn on Incremental mode. Each run then returns only new and updated listings by default, and unchanged ones are not billed. Turn on Emit expired as well if you also want listings that disappeared, and want later reappearances tracked as REAPPEARED rather than a plain UPDATED or UNCHANGED.

Why did my run return fewer listings than expected?

Check Max properties and Max pages first; a capped run stops once either limit is reached. If detail-page fetching is on and one listing's detail page could not be fetched, that listing is still returned with its search-card fields; only its detail-only fields are missing. In Incremental mode the last known detail fields are carried forward instead, so the listing is not falsely reported as changed.

Why did my run fail instead of returning an empty dataset?

The actor fails loudly, instead of returning zero listings, when it could not read a single result page: that means every connection attempt was refused, which is a connection problem, not an empty search. It also fails if the run's time limit is reached before any page can be read, if url mode is used with no URLs, or if a resumeFromRunId cannot be resolved to a readable run or dataset. If some pages were read successfully but others were not, you still get what was found, and the run does not fail. Simply run it again in a few minutes if it fails on a connection problem.

Can I use it with AI agents or MCP?

Yes. Call it from any Apify integration or MCP client, and use the connector field to push results into Notion, Linear or Airtable.

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