Trademe Scraper — NZ Marketplace, Motors, Property & Jobs

What does Trademe Scraper do?

Trademe Scraper pulls listings from every section of trademe.co.nz — Marketplace goods, Motors used cars, Property, Rentals, Jobs and Flatmates — in a single run. Each listing arrives as structured data rather than raw text: price, make, model, odometer, bedrooms, bathrooms, address, salary, photos, seller phone and email, typed per section. Filter by region, keyword and section, enrich with detail-page fields, and track only what changed between runs.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 🧭 Six Trade Me sections, one actor — Scrape Marketplace goods, Motors used cars, Property, Rentals, Jobs and Flatmates in one run — pick any combination. maxResults caps each section independently, so one never starves the others.
• 🚗 Typed vehicle specs + history — every used-car listing carries make, model, year, odometer, fuel, transmission, vin and numberPlate, plus the dealership's name, phone, website and email. Seller-paid vehicle-history reports surface as vehicleHistory when present.
• 🏠 Property & rental detail — bedrooms, bathrooms, address, latitude/longitude, propertyType, land/floor area, rateableValue, agent contacts, open-home times and broadband availability. Rentals add rentPerWeek, availableFrom and maxTenants.
• 💼 Structured jobs & salary — job listings carry the full ad, employmentType, payType, the employer's benefits, and a parsed salaryMin / salaryMax / salaryPeriod where published. Emails are extracted into extractedEmails.
• 💵 Price, typed — priceText plus a parsed priceValue in NZD, the buyNowPrice, and the pre-discount wasPrice when a seller marks down. Property asking prices are recovered even when the API reports them as zero.
• 📋 Detail enrichment — two-stage scraping — list first, then enrich each listing with the full detail-page payload. One input toggle controls the depth.
• ♻️ Incremental mode — daily runs emit only listings that are new or whose price/condition changed since last run. Perfect for inventory-diff dashboards and competitive pricing alerts. Saves 80–95% on recurring monitoring.
• 🔔 Notifications — telegram / Slack / Discord / WhatsApp / webhook alerts on each run. Combine with incremental to ping only when prices or inventory actually move.
• 🔌 MCP connectors — export results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI.

What data can you extract from trademe.co.nz?

Each result includes Core listing fields (listingId, listingKey, vertical, title, subtitle, category, categoryPath, and region, and more), detail fields when enrichment is enabled (description, descriptionText, descriptionHtml, descriptionMarkdown, and modelDetail), contact and apply information (sellerPhone, contactEmail, extractedEmails, and applyViaTradeMe), and company metadata (company). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions, company metadata, and contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Listing search keywords. Required if no startUrls provided.
• vertical — Which Trade Me sections to scrape — Marketplace (general goods), Motors (used cars), Property & Rentals (homes for sale/rent), Jobs, Flatmates. (default: ["marketplace"])
• region — Limit results to one or more New Zealand regions. Leave empty to search the whole country. Timaru - Oamaru applies to Marketplace and Motors only. (default: [])
• category — Optional Trade Me category code to narrow results, e.g. 0002-0356- for Computers. Leave empty to include all categories in the selected section.
• startUrls — Paste raw search URLs from trademe.co.nz — category or search-result pages. Each URL becomes its own task; results merge and dedupe by listing ID. When provided, startUrls replace the query/vertical/region fields. (default: [])
• country — Which market to search. (default: "NZ")
• maxResults — Maximum listings to return per selected section — each section is capped independently when several are chosen. Set 0 for no limit. (default: 25)
• includeDetails — Fetch full listing details. (default: true)
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• incrementalMode — Only return listings that are new or changed since your last run. Different search settings are tracked separately — leave stateKey empty unless you want two searches to share one history. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
• ...and 18 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "used bicycle",
  "maxResults": 50
}

Incremental tracking — Only emit listings that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "used bicycle",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "used-bicycle-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "used bicycle",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example listing record

{
  "listingId": "42341223c436627afcc8d1ae5641c5dd18d8699a5cb02362662424cff73a2f74",
  "listingKey": "6038890908",
  "vertical": "motors",
  "title": "2017 Holden Captiva Ls Equipe",
  "subtitle": "Low Kilometre Holden Captiva - Excellent Condition",
  "category": "Holden",
  "categoryPath": "/Trade-Me-Motors/Cars/Holden",
  "region": "Auckland",
  "suburb": "Manukau",
  "priceText": "$12,000",
  "priceValue": 12000,
  "buyNowPrice": 14000,
  "priceCurrency": "NZD",
  "listingType": "auction",
  "reserveState": "met",
  "url": "https://www.trademe.co.nz/a/listing/6038890908",
  "portalUrl": "https://www.trademe.co.nz/a/listing/6038890908",
  "imageUrl": "https://trademe.tmcdn.co.nz/photoserver/med/2318363175.jpg",
  "galleryUrls": [
    "https://trademe.tmcdn.co.nz/photoserver/med/2318363175.jpg",
    "https://trademe.tmcdn.co.nz/photoserver/med/2318363177.jpg",
    "https://trademe.tmcdn.co.nz/photoserver/med/2318363178.jpg",
    "https://trademe.tmcdn.co.nz/photoserver/med/2318363179.jpg",
    "https://trademe.tmcdn.co.nz/photoserver/med/2318363180.jpg"
  ],
  "publishedAt": "2026-07-17T13:00:12.767Z",
  "endsAt": "2026-08-31T09:30:00.000Z",
  "asAt": "2026-07-17T13:56:59.357Z",
  "description": "Well-maintained Holden Captiva with exceptionally low kilometres (under 50,000km).\n\nWe are the first and only NZ owners and are selling simply because the vehicle is now surplus to our requirements....",
  "descriptionText": "Well-maintained Holden Captiva with exceptionally low kilometres (under 50,000km).\n\nWe are the first and only NZ owners and are selling simply because the vehicle is now surplus to our requirements....",
  "descriptionHtml": "Well-maintained Holden Captiva with exceptionally low kilometres (under 50,000km).\n\nWe are the first and only NZ owners and are selling simply because the vehicle is now surplus to our requirements....",
  "sellerName": "gosa7",
  "sellerType": "member",
  "memberId": 3198576,
  "make": "Holden",
  "model": "Captiva",
  "modelDetail": "Ls Equipe",
  "year": 2017,
  "odometer": 50000,
  "fuel": "Petrol",
  "transmission": "Automatic",
  "bodyStyle": "RV/SUV",
  "engineSize": 2384,
  "doors": 4,
  "seats": 7,
  "exteriorColour": "Black",
  "vin": "KL3CA26U9HB750845",
  "numberPlate": "KMG917",
  "is4WD": false,
  "importHistory": "1",
  "isDealer": false,
  "onRoadCostsIncluded": true,
  "vehicleHistory": {
    "reportedStolen": "NO",
    "moneyOwing": "NO",
    "damaged": "N/A",
    "reRegistered": "NO",
    "regoOrVin": "KMG917",
    "reportUrl": "https://www.trademe.co.nz/link.aspx?i=73847&plate=KMG917",
    "generatedAt": "2026-07-17T13:00:18.000Z"
  },
  "hasBuyNow": true,
  "viewCount": 63,
  "attributes": [
    "On road costs: Included",
    "Number plate: KMG917",
    "Year: 2017",
    "Kilometres: 50,000km",
    "Exterior colour: Black",
    "... 13 more items"
  ],
  "contentQuality": "full",
  "detailFetched": true,
  "contentHash": "f8043c87f2a8ab3428bb7b640ab3db130dda851415d91bce70b34f2ecd168773",
  "scrapedAt": "2026-07-17T13:56:59.030Z",
  "source": "trademe.co.nz"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape trademe.co.nz

1. Go to Trademe Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract listing data from trademe.co.nz for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research broker and agency profiles, provider coverage, and market distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape trademe.co.nz?

Trademe Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.005 per run
• Per result: $0.0015 per listing record

Example costs:

• 10 results: $0.02
• 25 results: $0.042
• 100 results: $0.15
• 200 results: $0.3
• 500 results: $0.76

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.15	$0.01	$0.14 (92%)	$0.38
15% — moderate broad query	$0.15	$0.03	$0.13 (82%)	$0.82
30% — high-volume aggregator	$0.15	$0.05	$0.11 (68%)	$1.50

Full re-scrape monthly cost at daily polling: $4.65. First month with incremental costs $0.52 / $0.95 / $1.60 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from trademe.co.nz?

The number of results depends on the search query and available listings on trademe.co.nz. Use the maxResults parameter to control how many results are returned per run.

Does Trademe Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Trademe Scraper with other apps?

Yes. Trademe Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Trademe Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Trademe Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape trademe.co.nz?

This actor extracts publicly available data from trademe.co.nz. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

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