JB Hi-Fi AU Product Scraper

Scrape JB Hi-Fi Australia product search results, categories, prices, availability and reviews from the public storefront. Search by keyword with server-side sorting, facet filters, price bounds and an on-sale filter, or paste product, collection and search links. Every record carries the full card surface: identity, brand, category, price with the GST split, was-price and savings, availability matrix, rating and review counts, image gallery, promotion flags and marketplace seller.

Why This Scraper?

• One actor instead of three. Rival JB Hi-Fi actors split keyword discovery, product parsing and review parsing across three separate actors, each charging separately for the same data. This actor covers keyword search, product records and reviews in a single run.
• Card-complete rows. Each result ships 45+ fields straight from the store's own search index: pricing including the GST breakdown, was-price and save amount, delivery and click-and-collect status, store stock counts, release dates, promotion and clearance tags, and the marketplace seller.
• Real search powers. Facet filters (brand, seller, category, merchandising tags), minimum and maximum price, an on-promotion switch and four server-side sort orders narrow results at the source, not in post.
• Reviews without a second actor. Enable Fetch reviews and every product row carries its customer reviews as a nested list, with a one-row-per-review output tab for spreadsheets.
• Built for schedules. Resume past runs, or run incremental mode so a scheduled recurring run pushes only what is new or changed.

Use Cases

• Who: Price trackers monitoring JB Hi-Fi AU catalogues for drops, promotions and clearance events.
• Who: Marketplace analytics teams following seller (Sold by) coverage and marketplace share.
• Who: Affiliate and comparison sites that need clean product records with prices, availability and images.
• Who: Review aggregators collecting customer reviews joined to their products.

Data You Get

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

Field	Example
title	Apple iPhone 18 Pro 512GB (Burgundy)
brand	APPLE
category	COMMUNICATIONS
price	2499.0
wasPrice	2699.0
saveAmount	200.0
taxGst	227.18
availability	InStock
deliveryStatus	InStock
clickNCollectStatus	InStock
rating	4.5
reviewCount	8
onPromotion	true
model	"MJRW4X/A"
barcode	"195951417325"
keyFeatures	bullet list from the product page's Key Features
graphicAttributes	spec-style icon attributes: "Network compatibility: 5G"
condition	"As New" (refurb and marketplace products)
offerTiers	one entry per marketplace seller: price, availability, shipping
limitPerOrder	2
packagedDimensions	height / width / depth / weight
soldBy	Hobbyco
releaseDate	2026-10-18T02:00:00Z
imageUrl	https://cdn.shopify.com/...
url	https://www.jbhifi.com.au/products/apple-iphone-18-pro-512gb-burgundy

How to Use

Pick a mode: search browses the store by keyword with filters, sorting and pagination; urls walks the exact links you paste. Turn on fetchDetails for the long description, key features and specification table; turn on fetchReviews for customer reviews. Use incrementalMode for scheduled recurring runs so only new and changed products are pushed.

Example inputs

Search by keyword (cheapest first):

{
  "mode": "search",
  "query": "iphone",
  "sortBy": "price-asc",
  "maxItems": 50
}

Filtered browse (brand, price bounds, on promotion):

{
  "mode": "search",
  "query": "laptop",
  "facets": ["Brand:Apple"],
  "minPrice": 1500,
  "maxPrice": 4000,
  "onPromotionOnly": true,
  "fetchDetails": true,
  "maxItems": 100
}

Walk pasted links (product, collection, search, bare SKU):

{
  "mode": "urls",
  "startUrls": [
    "https://www.jbhifi.com.au/products/apple-iphone-18-pro-512gb-burgundy",
    "https://www.jbhifi.com.au/collections/tvs",
    "https://www.jbhifi.com.au/search?query=sony",
    "922105"
  ],
  "fetchDetails": true,
  "fetchReviews": true,
  "maxItems": 100
}

Scheduled incremental monitoring (named baseline):

{
  "mode": "search",
  "query": "playstation 5",
  "incrementalMode": true,
  "stateKey": "ps5-monitor",
  "maxItems": 200
}

Run it from your code

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("abotapi/jbhifi-com-au-product-scraper").call(run_input={
    "mode": "search",
    "query": "iphone",
    "sortBy": "price-asc",
    "maxItems": 50,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["price"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('abotapi/jbhifi-com-au-product-scraper').call({
    mode: 'search',
    query: 'iphone',
    maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.map((i) => [i.title, i.price]));

Input Parameters

Parameter	Type	Default	Description
mode	select	search	search browses by keyword; urls walks pasted links.
query	string	iphone	Search keyword (an omitted keyword falls back to iphone).
category	string	(empty)	Restrict results to one collection handle, e.g. tvs.
sortBy	select	relevance	relevance, price-asc, price-desc, rating-desc. Server-side sort.
facets	list	(empty)	Facet tokens that narrow results, e.g. Brand:Apple, Sold by:Hobbyco, tag:Red Hot Deal.
minPrice	number	(empty)	Only products priced at or above this amount in AUD.
maxPrice	number	(empty)	Only products priced at or below this amount in AUD.
onPromotionOnly	boolean	false	Only products the store flags as on promotion.
startUrls	list	3 live examples	URLs mode: product, collection and search links, or bare SKUs.
fetchDetails	boolean	false	Read description, key features, specifications, barcode and options per product.
fetchReviews	boolean	false	Read customer reviews per product into the nested reviews list.
maxReviews	number	20	Reviews fetched per product when Fetch reviews is on.
maxItems	number	20	The only cap that stops a run early.
maxPages	number	0	Page cap per scope; 0 walks to the scope's natural end and defers to Max items.
resumeFromRunId	string	(empty)	Skip products already in a previous run's dataset.
incrementalMode	boolean	false	Detect changes against a saved scope baseline.
emitUnchanged	boolean	false	Incremental mode: also push unchanged records with changeType UNCHANGED.
emitExpired	boolean	false	Incremental mode: push records absent from a complete scan with changeType EXPIRED.
ignoreFieldsForChanges	list	(empty)	Extra fields whose changes never mark a row UPDATED.
mcpConnectors	select	(empty)	Export results to your apps via managed connectors.
notionParentPageUrl	string	(empty)	Notion connector: parent page URL the results are written under.
maxNotifyListings	number	50	Cap on how many records the connector export writes per run.
stateKey	string	(empty)	Named baseline for incremental mode; empty derives one from the run scope.
proxyConfiguration	object	standard pool	Connection used for store requests; Residential recommended for long scheduled runs.

Output Example

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

{
  "recordType": "product",
  "recordId": "0000000000000",
  "sku": "000000",
  "handle": "sample-brand-soundbar-300",
  "url": "https://www.jbhifi.com.au/products/sample-brand-soundbar-300",
  "title": "Sample Brand SoundBar 300",
  "brand": "SAMPLE BRAND",
  "category": "AUDIO",
  "currency": "AUD",
  "price": 299.0,
  "priceExGst": 271.82,
  "taxGst": 27.18,
  "availability": "InStock",
  "canBuyOnline": true,
  "rating": 4.6,
  "reviewCount": 12,
  "onPromotion": false,
  "isMarketplace": false,
  "imageUrl": "https://cdn.shopify.com/s/files/1/0024/9803/5810/files/sample.jpg",
  "changeType": "NEW",
  "firstSeenAt": "2026-10-24T12:00:00Z",
  "lastSeenAt": "2026-10-24T12:00:00Z"
}

Caption: one product record as pushed to the default dataset.

The detail output tab adds description, keyFeatures, specs (label and value pairs), barcode and structured options when Fetch product details is on. The reviews tab unwinds the nested review list to one row per review. The changes tab shows changeType, changedFields and baseline timestamps in incremental mode.

Plan Requirement

This actor runs on any Apify paid plan at the standard connection pool. The store serves the standard pool reliably; Residential is recommended for the most reliable long scheduled runs and can be selected under Connection. Runs bill per product record, with optional per-product detail and review enrichment events when their toggles are on.

FAQ

How much does it cost to run?

Each product record bills one dataset-item event; detail and review enrichment bill their own small events only when the corresponding toggles are on and rows are committed. A 20-item card-only run is a fraction of a cent of event charges plus platform compute.

Is it legal to scrape jbhifi.com.au?

The actor reads the same public product pages and search interfaces a browser loads, without logging in and without bypassing any protection. You remain responsible for complying with the store's terms and applicable law, and for what you do with the data.

Can I schedule recurring runs?

Yes. Use incremental mode with a fixed State key: each scheduled run classifies products as NEW, UPDATED, UNCHANGED or EXPIRED against the saved baseline and pushes only what changed by default. Resume from run id is the alternative when you simply want to skip what a previous run already delivered.

Why does a run finish with 0 items?

A run that finished with a clear status but no records usually means the keyword or filters genuinely matched nothing; try the same keyword on the site. A run that fails with a connection message means the store could not be reached that minute; retries and Residential under Connection usually resolve it.

Can I use the results with AI tools?

Yes. The dataset is plain JSON and works with any Apify MCP connector or vector pipeline; select a connector under the MCP section and the run exports automatically.

Send results into your apps (MCP connectors)

Select one or more managed connectors under the MCP section and the run exports its dataset automatically. The Notion connector writes records under a parent page you choose (capped by the max export input), so a scheduled run can keep a Notion database in step with the store.

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