realestate.com.au Scraper 🇦🇺 Buy · Rent · Sold · Auction Data

🎉 The only realestate.com.au scraper combining buy + rent + sold archive (incl. auction history) with polygon geofencing and A$ market KPIs in one run

Built for Australian property investors, buyer's agents, valuation analysts, PropTech founders, and agency intelligence teams who underwrite deals from data, not gut feel.

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📋 Overview

Pull every realestate.com.au listing in your target Australian market — for-sale, to-rent, recently-sold (with sold price + sold date + auction history) — and ship ready-to-model A$ KPIs alongside the raw data. Rank suburbs by median price, comp valuations against sold archive, and export the lot to JSON / CSV / Excel before your next inspection round.

Why Australian property professionals choose us:

• ✅ Buy + Rent + Sold in one actor: Use listingType=all to sweep all three channels per query. Most incumbents ship buy-only.
• 🗺️ 6 search modes incl. polygon geofencing: bylocation, byzip (4-digit AU postcode), bycoordinates + radius, bypolygon (closed lon-lat ring), byurl, bulklocations (PAID). Only one other AU actor in the top-15 supports polygon.
• 🎯 A$ market KPIs out of the box: Median sale / rent / sold (AUD), distribution percentiles (min · median · avg · p90 · max), top-10 suburbs by listing count, state breakdown, property-type tally — computed in-run, no extra calls.
• 💰 Mid-market wedge pricing: BRONZE ≈ $3 / 1,000 listings ($0.0030 per property-extracted), tapering to $0.0009 at DIAMOND. We beat the premium tier on price and beat the floor on coverage.
• 💎 Optional /details/byid enrichment: One toggle bundles full description, every photo, complete general / property feature lists, agency block, advertisers, inspections, and auction time — perfect for listing-detail crawls.
• ✨ HTML market report saved to the key-value store on every run — investor / buyer's-agent ready, no extra cost.

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✨ Features

• 🇦🇺 AU-wide coverage — every state, every territory, every postcode from Sydney NSW 2000 to Darwin NT 0800
• 🏠 Sale channel — live listings for sale, with full pricing range (priceMin / priceMax) and "Contact Agent" displayPrice handling
• 🛌 Rent channel — weekly rent (AU convention), furnished / pet-friendly filters, parking-spaces filter
• 🔨 Sold archive — recently-sold listings with sold price + sold date + auction history, perfect for comps and valuation research
• 🧭 Free-text location search — pass "Sydney NSW 2000", "Bondi Beach", "Surfers Paradise" and we resolve it
• 📮 Postcode search — 4-digit AU postcode (2000, 3000, 4000, 6000, 5000)
• 📍 Coordinates + radius — lat/lon centre + radius in km (0–50)
• 🔷 Polygon search — pass a closed lon-lat ring to scrape only inside an irregular boundary (school catchment, beachside strip, harbour view zone)
• 🔗 URL search — paste any realestate.com.au search-results URL and we'll parse the filters
• 📋 Bulk locations (PAID) — feed an array of suburbs and sweep them in one run
• 🔍 Rich filters — property type, price range (AUD), beds, baths, parking, size, construction status, furnished state, keywords, sort order
• 📋 Optional full-detail enrichment — toggle includeDetails to add description / all photos / full feature lists / agency / inspections / auction time per listing
• 📊 A$ KPIs in the HTML report — median by channel, percentile distribution, suburb leaderboard, state breakdown, property-type mix
• 📤 Clean structured dataset — 45+ fields, JSON / CSV / Excel export from the Apify dataset UI

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🎬 Quick Start

Pick a search mode, hand us a location (or postcode, coordinates, polygon, URL), pick a listing type (sale / rent / sold / all), and run. Listings stream to the dataset; the HTML report saves to the run's key-value store at report.html.

curl -X POST "https://api.apify.com/v2/acts/sian.agency~realestate-au-property-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchMode": "bylocation", "listingType": "sale", "location": "Sydney NSW 2000"}'

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🚀 Getting Started (3 Simple Steps)

Step 1: Pick a search mode

Choose one of: bylocation (free-text suburb), byzip (4-digit postcode), bycoordinates (lat/lon + radius), bypolygon (closed lon-lat ring), byurl (pasted realestate.com.au URL), or bulklocations (array of suburbs, PAID).

Step 2: Choose listing type + filters

Pick sale, rent, sold, or all (PAID — sweeps all three). Add filters: property type, price range (AUD), beds, baths, parking, keywords. For full listing details (description, photos, agency, inspections, auction time), toggle includeDetails (PAID).

Step 3: Hit run

The first 25 listings are free (no credit card). Watch the dataset fill in real time. Download as JSON / CSV / Excel directly from the Apify UI. Grab the HTML report from the key-value store at report.html.

That's it! In under 3 minutes, you'll have:

• A clean dataset of realestate.com.au listings with 45+ fields
• Median A$ price, suburb breakdown, state breakdown, property-type tally
• An HTML market dashboard you can share with your team or client

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📥 Input Configuration

Field	Type	Required	Description
searchMode	string	Yes	One of: bylocation, byzip, bycoordinates, bypolygon, byurl, bulklocations
listingType	string	No	sale (default), rent, sold, or all (PAID). Ignored when searchMode=byurl
location	string	Conditional	Free-text suburb/town (bylocation mode). Default: Sydney NSW 2000
locations	array	Conditional	Array of suburb strings (bulklocations mode, PAID)
postalCode	string	Conditional	4-digit Australian postcode (byzip mode)
latitude / longitude	number	Conditional	Centre point for bycoordinates mode
radius	number	Optional	Search radius in km for bycoordinates (0–50, default 5)
polygon	string	Conditional	Closed lon lat, lon lat, … ring (bypolygon mode)
realestateUrl	string	Conditional	Search-results URL (byurl mode)
propertyType	string	Optional	Comma-separated: house, apartment, unit, townhouse, studio, villa, land, acreage, rural, block_of_units
priceRange	string	Optional	min:N, max:N, or min:N,max:N (AUD; weekly for rent, total for sale/sold)
bedsRange	string	Optional	Bedroom range (min:0 for studio). e.g. min:2,max:5
bathsRange	string	Optional	Bathroom range. e.g. min:2
parkingRange	string	Optional	Parking-space range. e.g. min:1
sizeSqftRange	string	Optional	Floor / land area in sqft. e.g. min:500,max:2000
constructionStatus	string	Optional	established, builder, off_plan, or empty (any)
furnished	string	Optional	furnished, unfurnished, part_furnished — rent only
keywords	string	Optional	Free-text amenity keywords (pool, harbour view, air conditioning)
sortOrder	string	Optional	Newest, Price_High_to_Low, Price_Low_to_High, Most_Reduced
petsAllowed	boolean	Optional	Rent-only — pet-friendly filter
includeSold	boolean	Optional	Sale-only — include under-contract / pending listings
maxResults	integer	Optional	Hard cap per query (default 30, max 500). FREE tier capped at 25 total
includeDetails	boolean	Optional	PAID only — fetch full listing detail (description, all photos, full feature lists, agency, inspections, auction time)

Example — sale listings in Sydney CBD by postcode with a price filter:

{
  "searchMode": "byzip",
  "listingType": "sale",
  "postalCode": "2000",
  "priceRange": "min:800000,max:2500000",
  "bedsRange": "min:2",
  "propertyType": "apartment,unit",
  "sortOrder": "Price_Low_to_High",
  "maxResults": 100
}

Example — bulk-sweep buyer's agent wishlist (PAID):

{
  "searchMode": "bulklocations",
  "listingType": "sale",
  "locations": ["Bondi NSW 2026", "Coogee NSW 2034", "Bronte NSW 2024"],
  "propertyType": "house",
  "bedsRange": "min:3",
  "includeDetails": true
}

Example — polygon geofence inside Sydney CBD:

{
  "searchMode": "bypolygon",
  "listingType": "sold",
  "polygon": "151.20 -33.87, 151.22 -33.87, 151.22 -33.89, 151.20 -33.89, 151.20 -33.87"
}

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📤 Output

Results are saved to the Apify dataset with 45+ fields per listing. Every row includes:

Field	Type	Description
propertyId	string	Internal listing ID (use this for byurl/detail lookups)
listingType	string	sale, rent, or sold
url	string	Canonical realestate.com.au listing URL
shortUrl	string	Shortened share URL
thumbnailUrl	string	Listing thumbnail image
propertyTitle	string	Listing headline (renamed from title to avoid JSON-schema collision)
description	string	Listing description (truncated in search; full in detail when includeDetails=true)
address.street	string	Street line (only present when showAddress=true)
address.suburb	string	Suburb name
address.state	string	State / territory code (NSW, VIC, QLD, WA, SA, TAS, ACT, NT)
address.postcode	string	4-digit AU postcode
address.showAddress	boolean	Whether the address is publicly displayed
pricing.price	number	Numeric price (AUD). Weekly rent for rent listings; total for sale/sold
pricing.priceMin / priceMax	number	Range bounds when the listing is priced as a range
pricing.displayPrice	string	Raw display string (e.g. "$1,200,000 - $1,350,000", "Contact Agent")
pricing.pricePerSqft	number	Computed when both price and sizeSqft are known
pricing.rentFrequency	string	Rent frequency — weekly (AU convention)
specs.beds / baths / parking	number	Bedroom / bathroom / parking counts
specs.propertyType	string	house, apartment, unit, townhouse, studio, villa, land, etc.
specs.constructionStatus	string	established, builder, off_plan
specs.sizeSqft	number	Floor / land area in sqft
location.latitude / longitude	number	Decimal-degree coordinates
agency.id / name / phone / email / website	string	Listing agency contact block
agency.logo / brandColor	string	Agency branding assets
agency.address	string	Agency office address
advertisers[]	array	Listing agents — { name, phone }
media.photoCount	number	Total photo count
media.mainImage	string	Hero image URL
media.photos[]	array	All photo URLs (full list when includeDetails=true)
inspections[]	array	Scheduled inspections — { start, end } ISO timestamps
auctionTime	string	ISO auction timestamp (null if not scheduled)
flags.isBuy / isRent / isSold / isSignature	boolean	Channel + featured flags
generalFeatures[]	array	General amenity list (Pool, Air Con, Heating, etc.)
propertyFeatures[]	array	Property amenity list (Built-in Robes, Ensuite, etc.)
modifiedDate	string	ISO timestamp of last modification
detail	object	PAID only — full bundle (description, all photos, full feature lists, agency, inspections, auction time)

Example row (sale, sold-mode response):

{
  "propertyId": "146112116",
  "listingType": "sold",
  "url": "https://www.realestate.com.au/property-house-nsw-bondi-146112116",
  "propertyTitle": "Designer family home in Bondi's premier pocket",
  "address": { "street": "12 Example Street", "suburb": "Bondi", "state": "NSW", "postcode": "2026", "showAddress": true },
  "pricing": { "price": 4250000, "displayPrice": "Sold $4,250,000", "rentFrequency": null },
  "specs": { "beds": 4, "baths": 3, "parking": 2, "propertyType": "house", "sizeSqft": 2691 },
  "location": { "latitude": -33.8915, "longitude": 151.2767 },
  "agency": { "id": "RW12345", "name": "Ray White Bondi Beach", "phone": "+61 2 9300 0000", "brandColor": "#FFEC00" },
  "media": { "photoCount": 28, "mainImage": "https://.../main.jpg" },
  "auctionTime": "2026-05-04T11:00:00+10:00",
  "flags": { "isBuy": false, "isRent": false, "isSold": true, "isSignature": false },
  "modifiedDate": "2026-05-04T01:23:45Z"
}

HTML report — saved to the key-value store as report.html. Includes run stats, median A$ price by channel, distribution percentiles (min · median · avg · p90 · max), top-10 suburbs by listing count, state breakdown, property-type tally, per-query totals.

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💼 Use Cases & Examples

1. AU property investor — auto-pulled live + sold comps for a suburb

For: investors and buyer's agents who need both live asking prices AND recent sold prices in the same dataset to value a target property.

Input: searchMode=byzip, listingType=all, postalCode=2026, propertyType=house. Output: every house in postcode 2026 (Bondi) — currently for sale, currently for rent, and recently sold — with median A$ by channel. Use: rank comps by sold price-per-sqm, sanity-check the seller's asking price against the median sold for the same beds/baths cohort, present a defensible offer.

2. Buy-side agent — bulk-sweep a client wishlist across multiple suburbs (PAID)

For: buyer's agents managing client briefs across multiple inner-city or coastal suburbs.

Input: searchMode=bulklocations, locations=["Bondi NSW 2026", "Coogee NSW 2034", "Bronte NSW 2024"], bedsRange=min:3, includeDetails=true. Output: all 3-bed+ houses across the eastern beaches with full listing detail (description, photos, agency, inspections). Use: generate a single CSV for the client, schedule inspection runs, surface "hidden" listings the client missed on the consumer site.

3. Valuation & comps research — sold-mode archive with auction history

For: valuers, mortgage brokers, and PropTech founders building automated valuation models (AVMs).

Input: searchMode=bylocation, listingType=sold, location=Surfers Paradise QLD 4217, propertyType=apartment, maxResults=500. Output: every recently-sold apartment in Surfers Paradise with pricing.price = sold price, modifiedDate = sold date, auctionTime if applicable. Use: train a hedonic regression on beds/baths/sqft → sold price; flag outliers; benchmark against CoreLogic / PriceFinder without paying their per-call fees.

4. Suburb-level market reporting — median price, percentiles, mix

For: PropTech newsletters, agency CEOs, council planners, market analysts.

Input: searchMode=bylocation, listingType=sale, location=Melbourne VIC 3000, maxResults=500. Output: Melbourne CBD sale dataset + HTML report with median, percentile distribution (min · median · avg · p90 · max), property-type tally, top-10 sub-suburbs. Use: monthly market-update content, agency board reports, council infrastructure planning, automated investor newsletters.

5. Real-estate agency competitive intelligence

For: independent agencies wanting to track market share against franchise competitors (Ray White, LJ Hooker, Belle, McGrath, etc.).

Input: searchMode=byzip, listingType=sale, postalCode=4217, includeDetails=true. Output: every listing in the postcode with full agency.name, agency.id, advertisers[]. Use: group by agency.id → count listings per branch → rank by listing inventory, track WoW / MoM share, identify recruitment targets.

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🔗 Integration Examples

JavaScript / Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('sian.agency/realestate-au-property-scraper').call({
  searchMode: 'byzip',
  listingType: 'sale',
  postalCode: '2000',
  propertyType: 'apartment',
  bedsRange: 'min:2',
  maxResults: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Pulled ${items.length} listings; first row:`, items[0]);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

run = client.actor('sian.agency/realestate-au-property-scraper').call(run_input={
    'searchMode': 'bylocation',
    'listingType': 'sold',
    'location': 'Bondi NSW 2026',
    'propertyType': 'house',
    'maxResults': 200,
})

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item['propertyId'], item['pricing']['price'], item['address']['suburb'])

cURL — synchronous (results returned inline)

curl -X POST "https://api.apify.com/v2/acts/sian.agency~realestate-au-property-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchMode": "bypolygon",
    "listingType": "sale",
    "polygon": "151.20 -33.87, 151.22 -33.87, 151.22 -33.89, 151.20 -33.89, 151.20 -33.87",
    "propertyType": "apartment"
  }'

Automation Workflows (N8N / Zapier / Make / Airtable)

1. Trigger: cron schedule (e.g. every Monday 06:00 AEST) or webhook from your CRM
2. HTTP Request: POST /v2/acts/sian.agency~realestate-au-property-scraper/runs?token=YOUR_TOKEN with your input
3. Poll or Webhook: wait for run.status === "SUCCEEDED" (or subscribe to the run-finished webhook)
4. Fetch dataset: GET /v2/datasets/{defaultDatasetId}/items?format=json
5. Action: append rows to Airtable / Google Sheets / Notion, fire Slack/email alerts on new sold prices, refresh your PowerBI dashboard

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📊 Performance & Pricing

FREE Tier (Try It Now)

• 25 listings per run — full feature access, every channel, every field, every search mode
• 1 query per run (single suburb, postcode, or URL)
• No credit card required
• Perfect for testing comps math, validating polygon coordinates, or generating a one-off neighborhood snapshot

PAID Tier (Production)

• Unlimited listings per run
• Unlimited queries / locations
• listingType=all (sweeps sale + rent + sold per query)
• bulklocations mode (sweep an array of suburbs in one run)
• includeDetails=true enrichment unlocks per listing
• Pay-per-event: only successful extractions and successful enrichments are charged

Live Per-Event Pricing (USD)

The actor uses 6-tier pay-per-event pricing. Your effective price depends on your Apify subscription tier. Display prices on the Apify Store include Apify's standard 20% margin and may appear slightly higher than the dev prices below.

Event	FREE	BRONZE	SILVER	GOLD	PLATINUM	DIAMOND
apify-actor-start (one-time per run)	$0.0500	$0.0050	$0.0050	$0.0050	$0.0050	$0.0050
property-extracted (per listing) [HEADLINE]	$0.0090	$0.0030	$0.0026	$0.0022	$0.0015	$0.0009
detail-enriched (per /details/byid, opt-in)	$0.0060	$0.0020	$0.00175	$0.0015	$0.0010	$0.0006

Headline marketing format — property-extracted at BRONZE = ≈ A$3 / 1,000 listings, tapering to ≈ A$0.90 / 1,000 listings at DIAMOND. We sit mid-market: cheaper than the premium feature-rich AU actors (abotapi at $0.0035 GOLD) and slightly above the bottom-feeders (memo23 at $0.0007 GOLD) — the wedge buys you 6 search modes, all three channels, polygon geofencing, A$ KPIs, and the HTML report that none of the cheap actors ship.

Charge invariants:

• Charges fire only on success — failed extractions and failed enrichments never charge
• Input is validated before any charge events fire — you'll never be charged for invalid input
• detail-enriched only fires when includeDetails=true AND the detail call returns successfully

🔗 View live pricing on the Apify Store

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❓ Frequently Asked Questions

Q: Is this AU-only? A: Yes. realestate.com.au is the dominant Australian property portal (REA Group); the actor only covers Australian listings. For UK property data, use our Zoopla UK Property Scraper. For US, use Zillow Property Scraper or Apartments.com Property Scraper.

Q: Which listingType options can I use? A: sale (live for-sale listings, default), rent (live to-rent listings — weekly rent), sold (recently-sold archive with sold price and sold date), or all (PAID — runs every query three times, once per channel). When searchMode=byurl the channel is encoded in the URL itself, so listingType is ignored.

Q: How does the sold archive work? A: When listingType=sold, the actor pulls realestate.com.au's sold-listings index for your area. Each row's pricing.price is the final sold price, modifiedDate is the sold-date stamp, and flags.isSold = true. Coverage typically reaches back ~12–24 months depending on suburb activity.

Q: Is auction data included? A: Yes. Listings that went to auction carry an auctionTime ISO timestamp (auction date + time). For sold listings that were auctioned, the auctionTime is preserved alongside pricing.price (sold price), giving you a full auction-clearance dataset for any postcode or polygon.

Q: How does polygon mode work? A: Pass a closed ring of longitude-latitude pairs as a comma-separated string: "lon lat, lon lat, lon lat, …". The first and last point must match (auto-closed if not). Useful for school catchments, harbourside strips, council-boundary zones, or any irregular area that doesn't fit a postcode. Note: AU is in the Southern Hemisphere, so latitudes are negative (-33.87).

Q: What's includeDetails for? A: When ON, the actor calls /details/byid for every listing after the search row, bundling full description, every photo URL, complete general and property feature lists, the agency block, advertisers, inspections, and auction time. Each successful detail call fires one detail-enriched charge event. PAID tier only.

Q: How are the A$ KPIs computed? A: Median sale / rent / sold are computed in-run from successfully-extracted pricing.price values per channel. Distribution percentiles (min, median, avg, p90, max) are computed across all listings in the run. Suburb tally and state breakdown count address.suburb and address.state occurrences. All currency values are AUD; rent is always weekly (Australian convention).

Q: FREE vs PAID limits? A: FREE caps each run at 25 listings and 1 query, with includeDetails / listingType=all / bulklocations disabled. PAID is unlimited on listings, queries, and feature flags — pay only per successful extraction (property-extracted) and per successful enrichment (detail-enriched).

Q: Can I scrape multiple suburbs / postcodes in one run? A: Yes — PAID tier. Use searchMode=bulklocations and pass an array of suburb strings in locations[]. Each location runs as an independent query; results are merged into a single dataset and a single HTML report.

Q: What happens on rate-limit? A: The actor handles upstream rate-limits transparently with backoff + key fallback (triple-key rotation on 401 / 402 / 403 / 408 / 429 / 5xx responses). You don't need to do anything — failed queries are retried and only successful extractions are charged.

Q: What output formats are available? A: JSON, CSV, Excel, JSONL, XML, RSS, and HTML — export directly from the Apify dataset UI or via GET /v2/datasets/{datasetId}/items?format=csv. The HTML market report is saved separately in the run's key-value store at report.html.

Q: Is this legal? A: We only extract publicly available data from realestate.com.au — no auth bypass, no private content. You should still comply with realestate.com.au's Terms of Service, the Australian Privacy Act, and the Spam Act when using the data. See the legal section below.

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🐞 Troubleshooting

Empty results — "location not matched"

• realestate.com.au is strict about location strings. Try "Sydney NSW 2000" (suburb + state + postcode) instead of "Sydney". For ambiguous suburb names (Richmond exists in NSW, VIC, QLD, TAS), always include the state.
• Switch to searchMode=byzip and pass a 4-digit AU postcode if free-text resolution keeps failing.

Postcode format error

• AU postcodes are exactly 4 digits and may have leading zeros (NT starts with 0, e.g. 0800 for Darwin). Pass them as strings, not numbers — "0800", not 800.

Polygon mode returns nothing

• The polygon must be a closed ring — first and last point identical. The actor auto-closes it if needed, but malformed coordinate strings will silently drop rows.
• Polygon points are lon lat (longitude first, then latitude) — the opposite of the GeoJSON convention many users start from.
• AU latitudes are negative (Southern Hemisphere). A polygon with positive latitudes will scrape ocean.

Large-radius bycoordinates queries return unexpected suburbs

• The radius parameter is in kilometres, capped at 50. Past ~20 km in metro areas, realestate.com.au pulls from neighbouring postcodes which may not match your buyer's brief — narrow the radius or switch to bypolygon.

includeDetails doesn't fire on FREE tier

• includeDetails enrichment is PAID-only by design (it doubles the upstream cost per listing). Switch to PAID or run a smaller smoke test with includeDetails=false first.

Charge events not visible in the run breakdown

• apify-actor-start fires only after input validation passes. If validation fails (missing required field, invalid polygon, etc.), no charge fires and the run exits early — this is intentional, so you're never charged for invalid input.
• property-extracted and detail-enriched fire only on success. Rows that fail to extract or enrich never charge.

Rate-limit messages in the logs

• The actor handles upstream rate-limits internally with backoff + triple-key rotation. The messages are informational — you don't need to take action. If a query ultimately fails after all retries, it's surfaced in the retry-helper row in the dataset so you can re-run just the failed queries.

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⚖️ Is it legal to scrape data?

Our actors are ethical and do not extract any private user data. They only extract what realestate.com.au has chosen to publish publicly — listing data, agency contact blocks, property descriptions, and photos that any visitor can see by browsing the public site.

That said, your results may contain personal data (agent names, agent phones, agency emails). Personal data is protected by the Australian Privacy Act 1988 and the Spam Act 2003, and in the European Union by the GDPR. You should not scrape personal data unless you have a legitimate reason to do so, and you must not use scraped agent contact details for unsolicited commercial messaging without prior consent. If you're unsure whether your reason is legitimate, consult your lawyers.

You are also responsible for complying with realestate.com.au's Terms of Service when using the data downstream.

You can also read Apify's blog post on the legality of web scraping.

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⚠️ Trademark Disclaimer

This is an independent tool — not affiliated with, endorsed by, or sponsored by REA Group Ltd or realestate.com.au. All trademarks (including REA, realestate.com.au, and any agency brand names appearing in extracted data) are the property of their respective owners. Use of this Actor must comply with realestate.com.au's Terms of Service and applicable Australian law (Privacy Act 1988, Spam Act 2003, Competition and Consumer Act 2010).

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🤝 Support

Join our active support community:

• For issues or questions, open an issue in the actor's repository on Apify
• Check the SIÁN Agency Store for more property + automation tools
• 📧 apify@sian-agency.online

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✨ More by SIÁN Agency

• Zoopla UK Property Scraper — UK buy / rent / sold + suburb KPIs
• Zillow Property Scraper — US for-sale + Zestimate + 7 search modes
• Apartments.com Property Scraper — US rental + amenities + lease terms
• Browse all SIÁN actors →

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