Bunnings Scraper: Hardware & Home Improvement Products, Specs and Reviews

Bunnings Scraper turns Bunnings Warehouse, Australia's largest hardware and home improvement retailer, into structured product data you can use anywhere. Search by keyword with brand, price, rating and product-offer filters, or paste product, category and search URLs, and get one clean record per product with full specifications, pricing, image galleries, warranty text, and the site's own customer reviews with rating statistics. Run once for a snapshot, resume an interrupted run without paying twice, or schedule it and get only what changed, then export the results into your apps or pull them through the API.

Why This Scraper?

• Two ways to collect. Search by keyword with brand, price, rating and product-offer filters, or paste any product, category or search URL directly.
• Full product detail. Specifications, warranty text, dimensions, payment options and the complete image gallery, fetched by default (a pasted product URL always fetches these regardless of the setting).
• Customer reviews at scale. Review text, star rating, author, date and aggregate rating statistics, with a cap you control per product.
• Built for schedules. Incremental mode returns only new and changed products on recurring runs, and a product that disappears can be marked EXPIRED once a run has scanned the whole tracked search.
• Resume without paying twice. Continue one interrupted run from a previous run or dataset ID, and the actor also recovers automatically after a platform restart.
• Honest pricing signals. Was-price and discount fields are never invented. They stay empty unless the site itself publishes a real reduced price.
• Send data straight into your apps. Pipe results into Notion, Linear, Airtable or Apify through MCP connectors, no code required.

Use Cases

• Price and catalogue monitoring: track prices, stock and promotions on drills, mowers, paints and fasteners over time.
• Competitor and market research: benchmark hardware retail pricing and product ranges by brand or category.
• Marketplace and comparison sites: source specifications, images, warranty text and pricing to list Bunnings products elsewhere.
• Review and sentiment analysis: pull customer reviews and rating distributions for power tools, appliances or building materials.
• Sourcing and procurement: build a structured feed of products, brands and specifications for trade or DIY audiences.

Data You Get

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

Field	Example
code / itemNumber	"0299323" / "0299323"
name / title	"XU1 18V Brushless Drill Driver Kit" / "Ozito XU1 18V Brushless Drill Driver Kit"
brand / brandUrl	"Ozito" / brand page URL
url	canonical product page link
price / currency / formattedPrice	49.98 / "AUD" / "$49.98"
priceType / priceAvailable	"FROM" / true
wasPrice / savingsAmount / savingsPercent / isOnSpecial	null / null / null / false
offerTypes / isRedemptionOffer	["Redemption Offer"] / true (site's own product-offer tag)
promotion / hasPromotion	campaign name, dates, loyalty-exclusive flag / true
paymentOptions	instalment options such as pay-later or card split plans
rating / ratingCount	4.5 / 120
reviews[]	review text, star rating, author, date, recommended flag, helpful votes
reviewStats	aggregate rating stats plus star distribution
specifications	flattened spec name to value map
features[]	full feature list (name, code, value)
warranty	warranty and returns text
weight / dimension	packaged and product weight and dimensions
images[] / imageUrl	full image gallery and primary image
variants	size / colour variant matrix with per-variant code and URL
categories / categoryPath	category taxonomy
fulfilment	delivery and click-and-collect availability
searchMode / source	"search" or "url" / "bunnings.com.au"

Was-price and discount fields (wasPrice, savingsAmount, savingsPercent, isOnSpecial) stay empty on almost every product: Bunnings runs an everyday-low-price model and publishes no strike-through, "was" or RRP price anywhere in its product data, on the listing card or the product page. These fields are kept for a consistent schema and populate only if the site itself ever exposes a genuine reduced price, never estimated or fabricated from other numbers. In incremental mode, every record also carries changeType, changedFields, firstSeenAt and lastSeenAt (see "Resume and recurring updates" below).

How to Use

1. Pick a mode: search (keyword plus filters) or url (paste product, category or search links).
2. Fill in the fields for that mode: keywords and filters for search, or the list of URLs for url mode.
3. Fetch product details is on by default and adds a small per-product charge; turn it off to skip it for search or category results (a pasted product URL always includes it regardless). Turn on Fetch customer reviews too if you want reviews (also a small per-product charge).
4. Set Max products to control run size and cost, then click Start.

Search by keyword with filters:

{
  "mode": "search",
  "queries": ["cordless drill", "exterior paint"],
  "brand": "Ryobi",
  "sortBy": "ratingDesc",
  "minPrice": 20,
  "maxPrice": 500,
  "minRating": 4,
  "fetchDetails": true,
  "maxItems": 50
}

Paste a category page and a product page:

{
  "mode": "url",
  "urls": [
    "https://www.bunnings.com.au/our-range/tools/power-tools/drills",
    "https://www.bunnings.com.au/ryobi-18v-one-drill-driver-starter-kit-r18dd22_p0715241"
  ],
  "fetchDetails": true,
  "fetchReviews": true,
  "maxReviewsPerProduct": 50
}

Only products carrying the site's redemption-offer tag:

{
  "mode": "search",
  "queries": ["cordless drill"],
  "productOffers": "redemption-offer",
  "maxItems": 100
}

Recurring monitoring of a search, changes only:

{
  "mode": "search",
  "queries": ["exterior paint"],
  "incrementalMode": true,
  "emitExpired": true,
  "stateKey": "exterior-paint-watch"
}

Run it from your code

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("abotapi/bunnings-com-au-scraper").call(run_input={
    "mode": "search",
    "queries": ["cordless drill"],
    "fetchDetails": True,
    "maxItems": 50,
})
for product in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(product["name"], product["price"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('abotapi/bunnings-com-au-scraper').call({
  mode: 'search',
  queries: ['cordless drill'],
  fetchDetails: true,
  maxItems: 50,
});
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

• Resume (resumeFromRunId) continues one interrupted run: paste its run or dataset ID and the actor skips every product already collected there, so you don't pay twice. Max products then counts only the new products.
• Incremental mode (incrementalMode) is for scheduled runs over the same search. Each product is classified NEW, UPDATED (with changedFields), UNCHANGED (suppressed and not billed unless emitUnchanged is on), or EXPIRED (only produced after a run that scanned the whole tracked search with no Max products or Max pages cap hit and no Resume used, and only when emitExpired is on). A product that comes back after an earlier run had already marked it EXPIRED is then classified REAPPEARED, not NEW, and keeps its original first-seen date. Without a prior complete run that emitted EXPIRED, nothing is ever classified REAPPEARED.
• stateKey names or shares the stored state. Left empty, state is scoped automatically to your exact mode, keywords or URLs, filters, sort order, and detail/review settings, so two differently configured runs never mix baselines. With incremental mode off, output is exactly as before.
• The aggregate rating, ratingCount, reviews and reviewStats fields are driven by other customers and change far more often than the product's own catalogue data, so they are excluded from change detection (still fully returned) rather than flagging almost every recurring run as updated.
• maxPages caps the number of result pages walked per keyword or URL, not an absolute page number: a pasted URL that already names a start page (for example page=5) walks forward from there. Use 0 to walk every page; the run still stops once Max products is reached, a page repeats, or the store's own listed total is reached.

Send results into your apps (MCP connectors)

Optionally pipe the scraped products 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 product, not the full JSON. Each product 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 haven't authorized a connector yet.)
3. For Notion, also set notionParentPageUrl to the page where product pages 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 (keyword plus filters) or url (paste product, category or search links).
queries	array	none (prefill: ["cordless drill"])	Search keywords, one or more (search mode).
urls	array	none (prefill: ["https://www.bunnings.com.au/search/products?q=hammer"])	Product, category or search URLs to scrape (url mode).
brand	string	none	Keep only products whose brand contains this text.
sortBy	string	relevance	relevance, priceAsc, priceDesc, ratingDesc, reviewsDesc, or nameAsc.
minPrice	integer	none	Keep only products priced at or above this amount (AUD).
maxPrice	integer	none	Keep only products priced at or below this amount (AUD).
minRating	integer	none	Keep only products with an average rating at or above this value (1 to 5).
productOffers	string	any	Keep only products carrying the site's own product-offer tag: redemption-offer or new-arrival.
fetchDetails	boolean	true	Open each product page for full specifications, warranty, dimensions, gallery and price detail.
fetchReviews	boolean	false	Also collect customer reviews and aggregate rating statistics per product.
maxReviewsPerProduct	integer	20	Cap on reviews collected per product when reviews are on. Use 0 for all available.
maxItems	integer	20	Maximum number of products to return across the whole run. Use 0 for unlimited.
maxPages	integer	0	Safety cap on result pages walked per keyword or URL. 0 walks every page.
resumeFromRunId	string	none	Previous run or dataset ID to continue from (returns only products not already collected there).
incrementalMode	boolean	false	Turn on for scheduled runs of the same search to get only new and changed products.
stateKey	string	none	Optional name for an incremental-mode monitoring campaign, or to share state deliberately.
emitUnchanged	boolean	false	Also return (and bill) products unchanged since the last run, marked UNCHANGED.
emitExpired	boolean	false	Also return (and bill) products no longer found, marked EXPIRED, only after a complete scan.
proxy	object	residential connection pinned to Australia	Connection settings for reaching the store.
mcpConnectors	array	none	Optional: send a summary of each product to apps you authorized under Integrations.
notionParentPageUrl	string	none	Notion connector only: page under which product pages are created.
maxNotifyListings	integer	50	Cap on items written to each connector per run. Does not affect the dataset.

Output Example

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

{
  "code": "0299323",
  "itemNumber": "0299323",
  "name": "XU1 18V Brushless Drill Driver Kit",
  "title": "Ozito XU1 18V Brushless Drill Driver Kit",
  "brand": "Ozito",
  "brandUrl": "https://www.bunnings.com.au/our-range/tools/ozito",
  "url": "https://www.bunnings.com.au/xu1-18v-brushless-drill-driver-kit_p0299323",
  "price": 49.98,
  "currency": "AUD",
  "formattedPrice": "$49.98",
  "priceType": "FROM",
  "wasPrice": null,
  "savingsAmount": null,
  "savingsPercent": null,
  "isOnSpecial": false,
  "offerTypes": ["Redemption Offer"],
  "isRedemptionOffer": true,
  "promotion": { "campaign": "AU_TOOLS_FREE_DELIVERY", "startDate": "2026-09-01", "endDate": "2026-10-01", "onePassExclusive": false },
  "hasPromotion": true,
  "rating": 4.5,
  "ratingCount": 120,
  "reviews": [
    { "rating": 5, "title": "Great value", "author": "SampleUser", "date": "2026-08-15T00:00:00", "body": "Sample review text.", "recommended": true, "helpfulVotes": 4, "notHelpfulVotes": 0, "verifiedPurchaser": true }
  ],
  "reviewStats": { "averageRating": 4.5, "reviewCount": 120, "ratingDistribution": { "5": 80, "4": 25, "3": 10, "2": 3, "1": 2 } },
  "specifications": { "Voltage": "18V", "Battery included": "Yes" },
  "features": [{ "name": "Voltage", "code": "voltage", "value": "18V" }],
  "warranty": "3 year warranty on tool, 1 year on battery.",
  "weight": "1.6kg",
  "dimension": "35cm x 25cm x 10cm",
  "images": ["https://www.bunnings.com.au/images/sample-1.jpg", "https://www.bunnings.com.au/images/sample-2.jpg"],
  "imageUrl": "https://www.bunnings.com.au/images/sample-1.jpg",
  "variants": [{ "code": "0299324", "itemNumber": "0299324", "url": "https://www.bunnings.com.au/sample-variant_p0299324", "options": [{ "name": "Colour", "value": "Blue" }] }],
  "categories": ["Tools", "Power Tools", "Drills"],
  "categoryPath": ["Tools", "Power Tools", "Drills"],
  "fulfilment": { "availableForDelivery": true, "inStorePickup": true },
  "searchMode": "search",
  "source": "bunnings.com.au"
}

Plan Requirement

The store answers reliably only to a residential connection in Australia, and the input's Connection setting defaults to exactly that, rotating to a fresh exit automatically on any refusal. An account without residential proxy access in Australia will exhaust its fallback connections and the run fails with a clear message rather than completing empty. Larger or more frequent runs benefit from your own plan's proxy allowance.

FAQ

How much does it cost?

You are billed for the results you actually collect: a charge per product returned, plus a charge for detail fetching, which is on by default (turn it off to skip it, except for a pasted product URL which always includes it), and an optional charge if you turn on review fetching. The Pricing tab on the actor page shows the current rates. Use Max products to cap the cost of any run.

Is it legal to scrape Bunnings?

This actor collects only publicly available product data from bunnings.com.au. You are responsible for how you use it: follow Bunnings' terms and the laws that apply to you, and get legal advice if you plan commercial redistribution. Product names, prices and specifications are generally facts, but photos, logos and review text may be subject to third-party rights.

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

Yes. Schedule the actor from the Schedules tab and turn on Incremental mode. Each run then returns only new and updated products, and unchanged ones are suppressed and not billed unless you also turn on Emit unchanged.

Why are the was-price and discount fields always empty?

Bunnings runs an everyday-low-price model and publishes no strike-through, "was" or RRP price anywhere in its product data, not on the listing card and not on the product page. wasPrice, savingsAmount and savingsPercent are kept for a consistent schema and populate only if the site itself ever exposes a genuine reduced price; they are never estimated or fabricated from other numbers.

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

If every connection attempt is refused before any product data can be read, for example because the account has no access to a residential connection in Australia, the run fails with an actionable message instead of completing with zero results. A single refused request during a normal run is retried automatically on a fresh exit and does not fail the run. The run also fails if a pasted resumeFromRunId cannot be read, or if Incremental mode is combined with resumeFromRunId on a search that already has saved state.

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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