TradeMe Scraper — New Zealand Property, Motors, Marketplace & Jobs Data Extractor

The most complete TradeMe.co.nz extraction tool on Apify. Pull live New Zealand listings across property (sale, rent, commercial, rural), motors (cars, motorbikes, boats), marketplace, jobs and services — with NZD pricing, auction dynamics, watcher counts, region/district/suburb breakdowns and vertical-specific fields ready for prop-tech, dealer intel, expat relocation and marketplace research workflows.

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What This Actor Does

The TradeMe Scraper is a production-ready Apify Actor that extracts live listings from trademe.co.nz — New Zealand's dominant online marketplace and the country's #1 destination for property, cars, jobs and second-hand goods. TradeMe is to NZ what eBay, Realestate.com.au, Carsales and Seek combined are to Australia: a single multi-vertical platform that touches almost every household in Aotearoa.

In a single run the actor returns structured records across ten verticals, with NZD pricing, auction bid counts, watcher counts, reserve status, classified vs auction flags, full geographic breakdown (region → district → suburb), and vertical-specific attributes such as bedrooms/bathrooms/land-area for property and make/model/year/odometer for motors.

Verticals covered:

• Property — Residential Sale — houses, apartments, townhouses, units, sections, lifestyle blocks, new builds
• Property — Residential Rent — long-term rentals across all 16 NZ regions
• Property — Commercial — retail, office, industrial, hospitality leases & sales
• Property — Rural — farms, lifestyle, horticulture, dairy, sheep & beef
• Motors — Cars — every dealer and private-listed vehicle in NZ
• Motors — Motorbikes — road, off-road, scooters, vintage
• Motors — Boats & Marine — power, sail, jetski, trailers
• Marketplace — general consumer goods across all categories
• Jobs — full-time, part-time, contract & casual roles
• Services — trades, professional services, lessons, events

Each listing includes the canonical TradeMe URL, image gallery, normalised sales method (Auction, Tender, Deadline Sale, By Negotiation, Enquiries Over, POA), and an ISO-8601 scrape timestamp — making this the fastest way to populate or refresh a New Zealand listings dataset for prop-tech, automotive intel, agent benchmarking, expat relocation tooling or competitive marketplace analytics.

Why scrape TradeMe yourself when this exists?

TradeMe is an Angular single-page app that renders cards client-side, throttles unauthenticated callers to roughly 60 requests per hour per IP, and ships its catalogue across a maze of vertical-specific URL shapes. Most teams that try a DIY scraper hit the same wall within a weekend:

• The site is fully JavaScript-rendered — requests/urllib returns an empty shell
• 60 req/hour/IP unauthenticated quota kills naive scripts immediately
• Angular icon-based attribute rendering — bedrooms/bathrooms appear as <tg-icon> elements next to bare numbers, not text labels
• Sales method strings vary wildly: "Auction", "By Negotiation", "Deadline Sale 12 May 4pm", "Enquiries Over $1,200,000", "POA", "Tender"
• Cross-lease, leasehold and freehold tenure plus NZ-specific quirks like Unit Title and Cross-Lease need normalisation
• REAA 2008 disclosure text ("Licensed REAA 2008") leaks into agency/agent strings if you scrape naively
• URL geography is encoded as region/district/suburb slugs that need title-casing and stripping
• Pagination shape changes between verticals — ?page=2 works for property, marketplace uses different parameters
• Anti-bot fingerprinting triggers cloudflare-style challenges on poorly-disguised browsers
• Listing card class names are hashed and change on every TradeMe release

This actor solves every one of those problems — it ships a hardened Playwright browser with en-NZ locale, Pacific/Auckland timezone, NZ-tuned proxy rotation, multi-strategy attribute extraction, REAA text scrubbing, sales-method normalisation, and URL-slug geographic parsing — so you get clean JSON with no glue code.

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Quick Start

One-Click Run

1. Click "Try for free" on the Apify Store page
2. Pick a Vertical (default: Property — Residential Sale)
3. Optionally add a keyword (e.g. Ponsonby villa, Toyota Hilux, iPhone 15) and region
4. Hit Start — your dataset streams in as the browser paginates

API Run (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("haketa/trademe-scraper").call(run_input={
    "vertical": "property-residential-sale",
    "keyword": "Ponsonby",
    "region": "1",          # 1 = Auckland
    "priceMin": 1500000,
    "priceMax": 3500000,
    "auctionFilter": "all",
    "maxRecords": 200,
})

for listing in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(listing["listingId"], listing["title"], listing["priceDisplay"],
          listing["suburb"], listing["bedrooms"])

API Run (Node.js / TypeScript)

import { ApifyClient } from 'apify-client';

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

const run = await client.actor('haketa/trademe-scraper').call({
    vertical: 'motors-cars',
    keyword: 'Toyota Hilux',
    region: '1',          // Auckland
    priceMin: 20000,
    priceMax: 60000,
    maxRecords: 500,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`${items.length} Auckland Hilux listings`);
items.slice(0, 5).forEach(i => console.log(i.title, i.priceDisplay, i.odometer));

API Run (cURL)

curl -X POST "https://api.apify.com/v2/acts/haketa~trademe-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
        "vertical": "property-residential-rent",
        "region": "15",
        "keyword": "Te Aro",
        "priceMax": 850,
        "maxRecords": 100
      }'

---

How It Works

TradeMe runs on an Angular SPA backed by an internal JSON API. This actor uses a hardened Playwright (Chromium) browser to load each search URL exactly the way a Kiwi user would — en-NZ locale, Pacific/Auckland timezone, realistic viewport and user-agent, navigator.webdriver masking, and human-paced delays. Listings are extracted from the rendered DOM using a three-tier strategy with API-response interception as a fallback.

Vertical → URL routing

Vertical input	TradeMe URL path	Subcategory label
property-residential-sale	/a/property/residential/sale	residential-sale
property-residential-rent	/a/property/residential/rent	residential-rent
property-commercial	/a/property/commercial	commercial
property-rural	/a/property/rural	rural
motors-cars	/a/motors/cars	cars
motors-motorbikes	/a/motors/motorbikes	motorbikes
motors-boats	/a/motors/boats-marine	boats
marketplace	/a/marketplace	general
jobs	/a/jobs	jobs
services	/a/services	services

Engineering details

• Playwright Chromium with en-NZ locale and Pacific/Auckland timezone — TradeMe geo-personalises results, so this matters
• Stealth init script — strips navigator.webdriver, injects window.chrome.runtime, masks automation fingerprints
• Adaptive selector cascade — tries a[href*="/listing/"], then [class*="ListingCard"], then class-fuzzy fallbacks (TradeMe hashes class names on every release)
• Three-strategy attribute extraction for bedrooms/bathrooms/parking:
  1. aria-label parsing on [class*="attribute"]/[class*="feature"]/[class*="icon-text"] nodes
  2. Text regex (\d+\s*(?:bed|bath|park))
  3. Leaf-node digit collection beside Angular <tg-icon> elements with consecutive-duplicate deduplication
• URL-slug geocoding — region/district/suburb extracted from the listing URL path and title-cased (/auckland-city/ponsonby/ → Auckland City, Ponsonby)
• REAA scrubbing — strips Licensed REAA 2008, (Licensed: REAA 2008), and split-line variants from agency/agent strings
• Known-agency splitter — recognises Barfoot & Thompson, Ray White, Bayleys, Harcourts, LJ Hooker, Professionals, Century 21, Sotheby, Lodge, Eves, Tremain, Property Brokers, Lugtons, Mike Pero, Tall Poppy, NZ Sotheby, RE/MAX and more to cleanly separate agent name from agency
• Sales-method normaliser — maps free-text sale terms to canonical labels (Auction / Tender / Deadline Sale / By Negotiation / Enquiries Over / POA)
• Session-rotated Apify proxy — each browser session uses a fresh proxy session ID to multiply the 60 req/hour per-IP quota
• Deduplication — listingId-keyed Set prevents the same auction appearing twice across page boundaries
• Auction state preserved — bidCount, maxBidAmount, isReserveMet, isClassified, watchersCount, viewCount are all captured when present

---

Input Parameters

{
  "vertical": "property-residential-sale",
  "keyword": "Ponsonby villa",
  "region": "1",
  "priceMin": 1500000,
  "priceMax": 3500000,
  "auctionFilter": "all",
  "scrapeDetails": false,
  "maxRecords": 500,
  "rowsPerPage": 500,
  "requestDelay": 2000,
  "proxyConfiguration": { "useApifyProxy": true }
}

Parameter reference

Parameter	Type	Default	Description
vertical	string	property-residential-sale	TradeMe section. See vertical reference table.
keyword	string	""	Search keyword. Examples: "Auckland waterfront", "Toyota Corolla", "iPhone 15". Empty returns the unfiltered category index.
region	string	""	NZ region ID (1–16). See region reference. Empty = all of New Zealand.
priceMin	integer	0	Minimum price in NZD.
priceMax	integer	0	Maximum price in NZD. 0 = no upper cap.
auctionFilter	string	all	all, auction, buy-now, or classified. Filters by listing type.
scrapeDetails	boolean	false	Fetch full per-listing detail (description, all photos, agent contact, Q&A count). Adds extra API calls.
maxRecords	integer	0	Cap total output. 0 = unlimited. Useful for sampling.
rowsPerPage	integer	500	Listings per pagination cycle (22–500). Higher = fewer round-trips, larger responses.
requestDelay	integer	2000	Milliseconds between pagination requests. 2000 ms recommended for the 60 req/hour unauthenticated quota.
proxyConfiguration	object	Apify Proxy on	Apify proxy settings. Rotating residential or datacenter both work — rotation multiplies the per-IP quota.

---

Output Schema

Every record uses the same flat JSON schema so consumers (databases, CRMs, BI tools) can ingest cross-vertical data without per-category branching. Fields not relevant to a given vertical are null.

Common fields (all verticals)

Field	Type	Description
listingId	integer	TradeMe-issued unique listing ID
vertical	string	One of property, motors, marketplace, jobs, services
title	string	Cleaned listing title (Video badge, "Listed" date, agency suffix stripped)
priceDisplay	string	Human-readable NZD price string as shown on TradeMe (e.g. $1,250,000, By Negotiation)
startPrice	number	Auction start price in NZD
buyNowPrice	number	Buy Now / asking price in NZD
maxBidAmount	number	Current highest bid in NZD
bidCount	integer	Number of bids placed
isReserveMet	boolean	true if reserve has been met
isClassified	boolean	true for classified listings (no auction)
watchersCount	integer	Number of users watching the listing
viewCount	integer	Total page views
region	string	NZ region (e.g. Auckland, Wellington, Canterbury)
district	string	Territorial authority (e.g. Auckland City, Wellington City, Christchurch City)
suburb	string	Suburb (e.g. Ponsonby, Te Aro, Riccarton)
description	string	Long-form listing description (when scrapeDetails: true)
images	array<string>	CDN image URLs
listingUrl	string	Canonical TradeMe listing URL
startDate	string	ISO-8601 listing start timestamp
endDate	string	ISO-8601 listing end / auction close timestamp
sellerNickname	string	TradeMe seller handle
sellerType	string	private or dealer / agency
scrapedAt	string	ISO-8601 timestamp of extraction

Property-only fields

Field	Type	Description
propertyType	string	House, Apartment, Townhouse, Unit, Section, Lifestyle Property, New Townhouse
bedrooms	integer	Number of bedrooms
bathrooms	integer	Number of bathrooms
landArea	number	Land area in m²
floorArea	number	Floor area in m²
salesMethod	string	Auction, Tender, Deadline Sale, By Negotiation, Enquiries Over, POA

Motors-only fields

Field	Type	Description
make	string	Vehicle make (Toyota, Holden, Ford, Mazda, Nissan, etc.)
model	string	Vehicle model
year	integer	Year of manufacture
odometer	integer	Odometer reading in km

Example: Auckland residential sale (auction)

{
  "listingId": 49823145,
  "vertical": "property",
  "title": "Renovated villa with city views",
  "priceDisplay": "Auction",
  "startPrice": null,
  "buyNowPrice": null,
  "maxBidAmount": 1820000,
  "bidCount": 14,
  "isReserveMet": true,
  "isClassified": false,
  "watchersCount": 87,
  "viewCount": 2143,
  "region": "Auckland",
  "district": "Auckland City",
  "suburb": "Ponsonby",
  "propertyType": "House",
  "bedrooms": 4,
  "bathrooms": 2,
  "landArea": 412,
  "floorArea": 198,
  "salesMethod": "Auction",
  "make": null, "model": null, "year": null, "odometer": null,
  "sellerNickname": "barfoot-ponsonby",
  "sellerType": "agency",
  "description": null,
  "images": ["https://trademe.tmcdn.co.nz/photoserver/full/3265482.jpg"],
  "listingUrl": "https://www.trademe.co.nz/a/property/residential/sale/auckland/auckland-city/ponsonby/listing/49823145",
  "startDate": "2026-05-09T08:00:00Z",
  "endDate":   "2026-05-23T14:00:00Z",
  "scrapedAt": "2026-05-16T22:30:00.000Z"
}

Example: Wellington used car

{
  "listingId": 49801222,
  "vertical": "motors",
  "title": "2018 Toyota Hilux SR5 Double Cab 4WD",
  "priceDisplay": "$42,990",
  "buyNowPrice": 42990,
  "isClassified": true,
  "watchersCount": 31,
  "viewCount": 894,
  "region": "Wellington",
  "district": "Wellington City",
  "suburb": "Te Aro",
  "make": "Toyota",
  "model": "Hilux",
  "year": 2018,
  "odometer": 87500,
  "sellerNickname": "capital-motors",
  "sellerType": "dealer",
  "images": ["https://trademe.tmcdn.co.nz/photoserver/full/4421987.jpg"],
  "listingUrl": "https://www.trademe.co.nz/a/motors/cars/toyota/hilux/listing/49801222",
  "startDate": "2026-05-12T03:15:00Z",
  "endDate":   "2026-06-09T03:15:00Z",
  "scrapedAt": "2026-05-16T22:30:00.000Z"
}

---

Vertical Reference

Vertical	Audience	Typical fields populated
property-residential-sale	Buyers, agents, prop-tech	bedrooms, bathrooms, landArea, salesMethod, bids, watchers
property-residential-rent	Tenants, relocation, BTR investors	bedrooms, bathrooms, weekly rent (priceDisplay)
property-commercial	CRE brokers, investors	floorArea, salesMethod, classified flag
property-rural	Farm buyers, lifestyle, ag advisers	landArea, propertyType (Lifestyle / Dairy / Sheep & Beef)
motors-cars	Dealers, arbitrage, valuation	make, model, year, odometer, sellerType
motors-motorbikes	Dealers, enthusiasts	make, model, year, odometer
motors-boats	Marine dealers, brokers	make, model, year, length
marketplace	E-commerce, resellers, brand monitoring	title, priceDisplay, bidCount, watchersCount
jobs	Recruiters, salary benchmarking	title, region, employer (sellerNickname)
services	Trade-platform competitors, local SEO	title, region, suburb

NZ Region Reference

ID	Region	Major centres
1	Auckland	Auckland CBD, Ponsonby, Remuera, North Shore, Manukau, Waitakere
2	Bay of Plenty	Tauranga, Rotorua, Whakatane
3	Canterbury	Christchurch, Timaru, Ashburton
4	Gisborne	Gisborne
5	Hawke's Bay	Napier, Hastings
6	Manawatu / Whanganui	Palmerston North, Whanganui
7	Marlborough	Blenheim, Picton
8	Nelson	Nelson
9	Northland	Whangarei, Kerikeri, Paihia
10	Otago	Dunedin, Queenstown, Wanaka
11	Southland	Invercargill
12	Taranaki	New Plymouth
13	Tasman	Richmond, Motueka
14	Waikato	Hamilton, Cambridge, Te Awamutu
15	Wellington	Wellington CBD, Te Aro, Mt Victoria, Lower Hutt, Porirua
16	West Coast	Greymouth, Hokitika

Sales Method Reference

Canonical value	Source phrases on TradeMe
Auction	"Auction", "Auction 25 May 2pm"
Tender	"Tender", "Tender closing 30 May"
Deadline Sale	"Deadline Sale", "Deadline private treaty"
By Negotiation	"By Negotiation", "Price by negotiation"
Enquiries Over	"Enquiries Over $1,200,000", "EOI"
POA	"POA", "Price on Application"

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Use Cases

New Zealand Prop-Tech & Real Estate Analytics

Prop-tech startups, REA platforms and NZ-focused valuation tools use this dataset to:

• Build live comparable-sales (comps) datasets across Auckland, Wellington, Christchurch, Hamilton, Tauranga and Queenstown
• Track auction clearance dynamics — bid count, watcher count, reserve-met flag — across every Saturday auction
• Benchmark agency market share by counting listings per Barfoot & Thompson / Ray White / Bayleys / Harcourts office
• Monitor rental yields by joining rent and sale listings on suburb to compute gross yield
• Detect new development launches — diff today's listings against last week to flag fresh new-build releases in Hobsonville Point, Mt Wellington and Long Bay

Used-Car Arbitrage & Dealer Intelligence

Used-car dealers, fleet buyers and import resellers use TradeMe motors data to:

• Spot underpriced inventory the day it lists — alert when a 2018 Hilux SR5 lists below $40k
• Track dealer-vs-private price gaps to negotiate trade-in offers more accurately
• Monitor JDM import volumes — Toyota Aqua, Mazda Demio, Nissan Note — across Auckland and Christchurch importers
• Benchmark days-on-market for each make/model/year combo by snapshotting daily
• Inform shipping container loading — Japanese auctioneers brief based on what's actually moving in NZ

Expat Relocation & Migration Tooling

Immigration consultants, relocation agencies and HR mobility teams use TradeMe data to:

• Generate accurate cost-of-living reports with live Auckland 2-bed rent figures (Ponsonby vs Mt Eden vs New Lynn)
• Pre-populate suburb shortlists for incoming senior hires moving from Sydney, London or San Francisco
• Bundle rental + used-car + furniture marketplace data into a single onboarding package
• Benchmark school-zone rentals in Auckland Grammar, Epsom Girls and Wellington College catchments
• Provide weekly market briefings to corporate sponsors of skilled-migrant employees

REA / Agent Competitive Intelligence

Real estate agencies, franchise operators and individual agents use TradeMe extracts to:

• Track listing share across Barfoot & Thompson, Ray White, Bayleys, Harcourts, Tall Poppy and Mike Pero
• Identify agents with falling listing counts as recruitment targets
• Benchmark listing-to-sold ratios by office and by suburb
• Spot under-marketed listings — properties with low watcher counts are candidates for switching agency
• Build agent leaderboards for franchise comp plans and internal scorecards

Marketplace & Resale Research

Resellers, drop-shippers and brand-monitoring teams use TradeMe marketplace data to:

• Track second-hand iPhone, PlayStation, MacBook and Lego pricing across the entire NZ market
• Identify undervalued vintage inventory in collectibles, art and electronics
• Spot counterfeit listings by joining seller nickname × suspiciously low price
• Benchmark NZD resale value of imported retail goods for arbitrage planning
• Monitor brand presence and grey-market activity for global consumer brands

Automotive Market Research & Valuation

Auto OEMs, lease companies and insurance carriers use motors data to:

• Power residual-value models for the next-generation Toyota Hilux, Ford Ranger, Mazda CX-5
• Track NZ EV adoption — count Tesla, BYD, Polestar and Nissan Leaf listings month-over-month
• Inform lease pricing based on actual market resale not generic depreciation tables
• Benchmark insurance write-off recoveries against open-market private listings

Recruitment & Salary Benchmarking

Recruiters, HR teams and salary-data startups use TradeMe Jobs to:

• Map NZ job-market depth by region — count Wellington tech roles vs Auckland finance roles vs Christchurch trades
• Track salary-band shifts across software, healthcare, construction and hospitality
• Identify high-growth employers by counting active listings per company
• Benchmark contract-vs-permanent ratios by industry

Rural, Lifestyle & Agribusiness

Ag-tech, farm-finance and lifestyle-block agents use TradeMe Rural to:

• Monitor dairy, sheep & beef, horticulture and lifestyle listings by district
• Track rural land-value trends across Waikato, Canterbury, Hawke's Bay and Otago
• Benchmark per-hectare prices for farm acquisitions and land banking
• Identify forestry and horticulture conversion candidates by land area and zoning

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Sample Queries & Recipes

Recipe 1: Every Auckland villa for sale between $1.5M and $3.5M

{
  "vertical": "property-residential-sale",
  "keyword": "villa",
  "region": "1",
  "priceMin": 1500000,
  "priceMax": 3500000,
  "auctionFilter": "all",
  "maxRecords": 500
}

Recipe 2: Wellington Te Aro rentals under $850/week

{
  "vertical": "property-residential-rent",
  "keyword": "Te Aro",
  "region": "15",
  "priceMax": 850,
  "maxRecords": 200
}

Recipe 3: All Toyota Hilux listings across NZ

{
  "vertical": "motors-cars",
  "keyword": "Toyota Hilux",
  "priceMin": 15000,
  "priceMax": 80000,
  "maxRecords": 1000
}

Recipe 4: Christchurch lifestyle blocks over 1 hectare

{
  "vertical": "property-rural",
  "keyword": "lifestyle",
  "region": "3",
  "priceMin": 800000,
  "maxRecords": 200
}

Recipe 5: Auctions only — Saturday auction tracker for Auckland CBD

{
  "vertical": "property-residential-sale",
  "region": "1",
  "auctionFilter": "auction",
  "maxRecords": 300
}

Recipe 6: iPhone 15 second-hand pricing nationwide

{
  "vertical": "marketplace",
  "keyword": "iPhone 15",
  "auctionFilter": "all",
  "maxRecords": 500
}

Recipe 7: Sample 50 records to validate schema before a full pull

{
  "vertical": "property-residential-sale",
  "maxRecords": 50,
  "rowsPerPage": 50
}

---

Integration Examples

Google Sheets (via Apify Integration)

1. Schedule the actor to run nightly at 7:00 AM NZST
2. Add the "Export to Google Sheets" integration to the schedule
3. Receive a fresh NZ listings sheet every morning — pre-filtered by suburb, vertical or price band

Make.com / Zapier / n8n

Use the Apify connector on any major automation platform. Trigger downstream workflows on:

• New listings (today's dataset minus yesterday's keyed on listingId)
• Price drops (buyNowPrice decreased week-over-week)
• Auction close events — when endDate lands in the next 24 hours
• Watcher milestones — alert when watchersCount crosses 100
• Reserve-met flips — isReserveMet changes from false to true

Power BI / Tableau / Looker

Connect Apify's REST dataset endpoint as a data source. Refresh on Apify schedule. Build dashboards covering:

• Median asking price by Auckland suburb
• Auction clearance % by district
• Dealer vs private listing share for top 20 NZ car models
• New-listing volume heatmap by NZ region
• Rental yield by suburb (rent ÷ sale price × 52)

Postgres / Snowflake / BigQuery

Use the Apify webhook integration to POST run results directly to your warehouse ingestion endpoint after every scheduled run. Recommended primary key: listingId + scrapedAt for slowly-changing-dimension history.

Salesforce / HubSpot CRM Enrichment

For agency-CRM use cases, upsert against Account records keyed on sellerNickname. New listings can auto-create Opportunities; auction-close events can fire Tasks. For dealer-CRM use cases, key on make + model + year to drive inventory-acquisition workflows.

Webhooks & Push Notifications

Use Apify's webhook integration to push events into Slack, Discord, Microsoft Teams or your own service the moment a run finishes — perfect for "new $2M+ Ponsonby listing" Slack alerts to the buying team.

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Major NZ Markets Covered

Metro / Region	Population (approx)	What you'll find
Auckland (CBD, Ponsonby, Remuera, North Shore)	1.7M	NZ's largest property market, biggest dealer car market, deepest marketplace inventory
Wellington (Te Aro, Mt Victoria, Kelburn)	0.4M	Government & tech jobs, compact apartment market, strong rental data
Christchurch (Riccarton, Merivale, Fendalton)	0.4M	Post-quake rebuild, family homes, strongest South Island listings
Hamilton (Hamilton East, Rototuna)	0.18M	Waikato hub, growing satellite housing, education sector jobs
Tauranga (Mt Maunganui, Papamoa)	0.16M	Coastal lifestyle, retirement & investor market
Dunedin	0.13M	Student rental hub, Otago university precinct
Queenstown	0.05M	Resort property, tourism real estate, lifestyle blocks
Napier / Hastings (Hawke's Bay)	0.14M	Horticulture, wine country, regional centres
Whangarei / Kerikeri (Northland)	0.10M	Subtropical lifestyle, retirement migration
Rotorua	0.07M	Tourism, geothermal, forestry

Every TradeMe region ID (1–16) is supported via the region parameter.

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Cost & Performance

Metric	Value
Engine	Playwright (Chromium), en-NZ locale, Pacific/Auckland timezone
Runtime (50 listings)	~30 seconds
Runtime (500 listings, single vertical)	2–4 minutes
Runtime (full vertical sweep, ~5K listings)	15–30 minutes
Pricing model	Pay-per-event (transparent per-record pricing)
Data freshness	Live — fetched at run time
Auth required	None
Proxy required	Recommended (Apify residential or datacenter)
Concurrency	Safe to run multiple verticals or regions in parallel
Memory footprint	512 MB (Playwright Chromium baseline)
Quota awareness	Default 2000 ms delay respects the 60 req/hour unauthenticated limit

---

Compliance, Privacy & Legal Notes

• Public data only — every field returned is visible to any unauthenticated visitor on trademe.co.nz
• No personally-identifiable information beyond what TradeMe publishes — seller nicknames are TradeMe-issued handles, not real names; agency disclosures are scrubbed of the REAA 2008 licensee text
• No phone numbers or emails are extracted unless TradeMe displays them in the public listing body
• HIPAA / PHI does not apply — TradeMe is a commerce marketplace
• NZ Privacy Act 2020 / GDPR / CCPA compliance is the responsibility of the data consumer; this actor surfaces only data TradeMe itself publishes openly
• Honour TradeMe's Terms of Use — do not republish full listings verbatim at scale, do not contact users with unsolicited messages, and do not use this data for stalking, harassment or fraudulent purposes
• The actor respects sensible request pacing (2-second default delay) to avoid undue load on TradeMe infrastructure
• Use case suitability: market analytics, internal CRM enrichment, prop-tech feeds, dealer pricing intelligence, academic and journalistic research

Important: TradeMe data may not be used for spam, identity fraud, scraping for re-listing on a competing marketplace, or any purpose violating NZ law. Always consult a lawyer if your use case touches consumer protection, fair trading or privacy regulation.

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Frequently Asked Questions

How fresh is the data?

Live at the moment of the run. TradeMe listings update continuously — auctions tick, watchers grow, new listings appear. Each scrapedAt timestamp records exactly when the actor read the page.

How many records can I pull in one run?

Practical cap is bounded by TradeMe's pagination (typically up to ~5,000 listings per category-region combo) and your requestDelay. For broad sweeps, run multiple narrower configs in parallel rather than one massive run.

Does this actor require a TradeMe login or API key?

No. It scrapes the public unauthenticated catalogue. TradeMe's own API requires OAuth approval; this actor avoids that path entirely and works out of the box.

Do I need a proxy?

Recommended. Without rotation, unauthenticated TradeMe sessions are throttled to roughly 60 requests per hour per IP. Apify Proxy (residential or datacenter) rotates sessions so you can run faster. For small maxRecords runs (≤200) you can run without proxy.

Does it handle CAPTCHAs?

TradeMe rarely shows CAPTCHAs to well-disguised browsers. The actor uses a stealth init script (strips navigator.webdriver, injects window.chrome.runtime), en-NZ locale and Pacific/Auckland timezone, plus humane pacing — which dodges the CAPTCHA path in the overwhelming majority of runs.

What about Australian listings?

This actor is New Zealand only. For Australia, use the Domain.com.au Property Scraper for AU real estate or the SEEK Scraper for AU/NZ jobs.

Can I scrape just one suburb?

Use the keyword parameter (e.g. "Ponsonby", "Te Aro", "Mt Maunganui") combined with the matching region. Suburb appears in URL slugs which the actor parses into the suburb field — post-filter downstream for exact match.

Does the actor capture auction bid history?

It captures the current snapshot — bidCount, maxBidAmount, isReserveMet, watchersCount. For full bid history, schedule the actor to run hourly and archive each dataset to your warehouse, then reconstruct timelines by joining on listingId.

Does it work for property rentals?

Yes — set vertical: "property-residential-rent". The priceDisplay and buyNowPrice fields then represent weekly rent in NZD.

How does region filtering work?

Pass the numeric region ID (1–16) via the region parameter. See the NZ Region Reference table above. Empty string returns all of New Zealand.

Can I export the data in CSV or Excel?

Yes. Apify's dataset view exports to JSON, CSV, Excel (XLSX), HTML, XML, RSS and JSON Lines. Or stream via the API.

What if a build fails or no listings come back?

The actor logs the rendered HTML length, page title, and selector counts on the first page. If selectors return 0 hits, TradeMe likely shipped a layout change — open an Issue on the Apify Store page with the run ID and we'll patch the selector cascade.

Can I run this on a schedule?

Yes — Apify's built-in Scheduler supports cron expressions. Common patterns: every 30 minutes for auction monitoring, daily for prop-tech ingestion, weekly for market dashboards.

Does it deduplicate across pages?

Yes. A listingId-keyed Set ensures every listing appears once even if TradeMe's pagination overlaps.

What's scrapeDetails for?

When true, the actor follows each listing into its detail page to pull the full description, all photos, agent contact and Q&A count. Uses extra requests so it's slower — leave false for fast index scrapes.

Are images downloaded?

Image URLs are captured (TradeMe CDN — trademe.tmcdn.co.nz). The actor does not download image bytes; consume the URLs directly or pipe them to your own download workflow.

Does this actor work on the Apify Free plan?

Yes. Free-plan compute is sufficient for small (maxRecords ≤ 200) runs. For multi-region or whole-vertical sweeps, the Personal / Team plans offer better headroom.

Can it pull motors odometer and year?

Yes for cars and motorbikes — both year and odometer (km) are captured directly from listing text when present.

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Related Apify Actors by Haketa

If you cover ANZ, broader marketplaces or international real estate, these companions pair naturally with the TradeMe scraper:

• Domain.com.au Property Scraper (Australia) — full AU residential and commercial property
• SEEK Scraper (Australia/NZ) — jobs across AU and NZ
• Kleinanzeigen.de Scraper (Germany) — Germany's #1 classifieds platform
• Marktplaats.nl Scraper (Netherlands) — Dutch national marketplace
• OfferUp Scraper (US) — US local marketplace
• Kijiji.ca Scraper (Canada) — Canadian national classifieds
• Mudah.my Scraper (Malaysia) — Malaysia's leading marketplace
• Chotot.com Scraper (Vietnam) — Vietnam's largest classifieds
• Mourjan Scraper (MENA) — Middle East & North Africa classifieds
• Realtor.ca Scraper (Canada) — Canada real estate
• Apartments.com Scraper (US) — US rentals
• Rent.com Scraper (US) — US rental listings

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Comparison vs. Alternatives

Approach	Setup time	Data freshness	NZ multi-vertical	Schema normalisation	Auction state captured
This actor	< 1 minute	Live	All 10 verticals	Built-in	Yes (bids, watchers, reserve)
Manual TradeMe browsing	n/a	Live	Yes	None	Manual only
Custom Python + Playwright	2–5 days dev	Live	DIY per vertical	DIY	DIY
TradeMe official OAuth API	Days–weeks (approval)	Live	Limited categories	DIY normalisation	Yes
Paid NZ property data feed	Weeks of contracts	Daily	Property only	Vendor schema	Property auctions only
Generic web scraper	Hours	Live	None	None	None

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Why Pay-Per-Event Pricing?

Most scrapers either charge a flat monthly subscription (you pay even if you don't use it) or per-Compute-Unit (unpredictable on browser actors). This actor uses pay-per-event pricing:

• You only pay when the actor actually runs
• Charges scale with the number of listings you consume — not browser seconds
• Transparent line-item billing in your Apify console
• No monthly minimums, no annual commitments
• Free to evaluate — sample with maxRecords: 50 for cents
• Predictable for budgeting — same query → same cost shape

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Changelog

Version	Date	Notes
1.0.0	2026-05	Initial public release — Playwright engine, 10 verticals, NZD pricing, auction state, region/district/suburb parsing, REAA scrubbing, sales-method normalisation, pay-per-event pricing

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Keywords

TradeMe scraper · TradeMe data API · TradeMe.co.nz scraper · New Zealand property scraper · NZ property data · NZ real estate scraper · Auckland property data · Wellington property data · Christchurch property scraper · Hamilton property scraper · Tauranga real estate data · Queenstown property data · Dunedin property scraper · TradeMe motors data · TradeMe cars scraper · NZ used car data · Toyota Hilux NZ data · TradeMe marketplace scraper · NZ classifieds extractor · TradeMe price scraper · TradeMe listings API · TradeMe auction tracker · TradeMe watchers data · NZ rental data · Auckland rental scraper · Wellington rental data · NZ commercial property data · NZ rural property data · TradeMe jobs scraper · TradeMe services scraper · NZ marketplace API · Aotearoa real estate data · Ponsonby property data · Te Aro rental data · NZ prop-tech data · NZ dealer intelligence · NZD pricing API · Apify TradeMe actor · NZ classifieds API · TradeMe data extraction · TradeMe agent intelligence · Barfoot Thompson scraper · Ray White NZ data · Bayleys listings · Harcourts NZ data · TradeMe Saturday auction tracker · TradeMe data feed · New Zealand listings export · NZ real estate analytics

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Support

• Bug reports: Use the Issues tab on the Apify Store page — include run ID and vertical
• Feature requests: Same place, describe your use case (vertical, region, expected field)
• Direct contact: Through the Apify developer profile
• Custom NZ data jobs: Contact for bespoke filtering, scheduling or warehouse-direct delivery

If this actor saves you time, a 5-star rating on the Apify Store helps other NZ prop-tech teams, dealers and marketplace researchers discover it. Tēnā koe!