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Australia ACCC Product Recall Watch

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from $33.50 / 1,000 recall deltas

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Australia ACCC Product Recall Watch

Australia ACCC Product Recall Watch

Australian consumer product recalls published by the ACCC Product Safety feed: product, recall category, publication date and summary, keyed on the source's own UUID.

Pricing

from $33.50 / 1,000 recall deltas

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NexGen Watch

NexGen Watch

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🛡️ Australia ACCC Product Recall Watch

Australian consumer product recalls published by the ACCC Product Safety feed: product, recall category, publication date and summary, keyed on the source's own UUID. FIXED WINDOW: the feed serves the most recent 100 recalls and does not paginate — this watches that window.

Output is one recall_record row per result; billing is pay-per-event, the value event being one recall delta (a $0.02 start fee per run, then $0.05 per recall delta plus one $0.10 source check per run that reads the source). Source: www.productsafety.gov.au.

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out with an identified contact User-Agent.

📊 Sample Output

Australia ACCC Product Recall Watch sample output — a table of real recall delta rows (title, published, published_iso, category) from run pjPbaineeN63doJq1 on build 0.1.19

Real rows from run pjPbaineeN63doJq1 on build 0.1.19 (2026-09-17), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

titlepublishedpublished_isocategory
The Wonderland Collection K Mini Baby Thermal Drink BottlesThu, 17 Sep 2026 00:00:00 +00002026-09-17Baby feeding aids
Qinbeer silicone pull string toys sold through AmazonTue, 15 Sep 2026 00:00:00 +00002026-09-15Toys for babies and toddlers
Rota Cota Trade Pro 3 Paint Spray GunTue, 15 Sep 2026 00:00:00 +00002026-09-15Tools and machinery
Narva Ultima wiring harness for use with Ultima MK3 215 hybrid drivingMon, 14 Sep 2026 00:00:00 +00002026-09-14Car parts and accessories
Merino Essentials Pointelle Kimono Stretch & Grow and Merino EssentialFri, 11 Sep 2026 00:00:00 +00002026-09-11Clothing (daywear)
Coloured contact lenses designed for cosplay and makeup applicationsFri, 11 Sep 2026 00:00:00 +00002026-09-11Cosmetic products
Gingham Flower hair accessory setWed, 09 Sep 2026 00:00:00 +00002026-09-09Jewellery and fashion accessories
Love to Dream Sleep MachineTue, 08 Sep 2026 00:00:00 +00002026-09-08Lithium-ion batteries

The run finished with the status message: NORMAL: emitted 10 item(s)

✅ What you get

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):

  • record_key (string/null) — e.g. accc:675ccd79-5605-4805-ae5b-41465cd34db6
  • guid — e.g. 675ccd79-5605-4805-ae5b-41465cd34db6
  • title — e.g. The Wonderland Collection K Mini Baby Thermal Drink Bottles
  • source_url — e.g. https://www.productsafety.gov.au/search-consumer-product-recalls/the-wonderland-
  • published — e.g. Thu, 17 Sep 2026 00:00:00 +0000
  • published_iso — e.g. 2026-09-17
  • category — e.g. Baby feeding aids
  • description — e.g. <div class="field field--name-field-psa-recall-published-date field--type-dateti
  • scope_note — e.g. most-recent-100 feed window; the feed does not paginate
  • record_type (string) — e.g. recall_record
  • delta_type (string/null) — null in every sample row

Every run also writes a RUN_RECEIPT record to its key-value store with the source checks it made and the counts it charged — diagnostics never land in the paid dataset.

⚙️ Sample inputs

1. Quick start — the Store example (this is what the sample above came from)

{
"category_contains": [],
"title_contains": [],
"watch_mode": false,
"baseline_id": "default",
"max_items": 10
}

The sample run charged exactly: 1 × $0.02 apify-actor-start + 1 × $0.10 source-check + 0 × $0.05 recall-delta = $0.12 on the Free tier — snapshot preview rows are delivered unbilled; only the source check and the start fee were charged.

2. A smaller, narrowed run

{
"category_contains": [],
"title_contains": [],
"watch_mode": false,
"baseline_id": "default",
"max_items": 5
}

Caps the run at 5 rows; same billing shape as the sample run above.

3. Watch mode on a schedule

{
"category_contains": [],
"title_contains": [],
"watch_mode": true,
"baseline_id": "default",
"max_items": 10
}

The first run seeds a private baseline and emits zero deltas; every later run emits one row per change, billed at $0.05 each plus the $0.10 source check; billed deltas are capped at 500 per run.

🧾 JSON sample record

One real record from run pjPbaineeN63doJq1, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_key": "accc:675ccd79-5605-4805-ae5b-41465cd34db6",
"guid": "675ccd79-5605-4805-ae5b-41465cd34db6",
"title": "The Wonderland Collection K Mini Baby Thermal Drink Bottles",
"source_url": "https://www.productsafety.gov.au/search-consumer-product-recalls/the-wonderland-collection-k-mini-baby-thermal-drink-bottles",
"published": "Thu, 17 Sep 2026 00:00:00 +0000",
"published_iso": "2026-09-17",
"category": "Baby feeding aids",
"description": "<div class=\"field field--name-field-psa-recall-published-date field--type-datetime field--label-hidden field__item\"><time datetime=\"2026-09-17T12:00:00Z\" class=\"datetime\">17 Sep 2026</time> </div> <a href=\"https://www.productsafety.gov.au/s",
"scope_note": "most-recent-100 feed window; the feed does not paginate",
"record_type": "recall_record",
"schema_version": "1.0",
"output_mode": "preview",
"preview_cap": 25,
"preview_truncated": 0
}

🔧 How it works

Transport. Plain HTTPS from the Apify platform, no proxy. Every request carries an identified contact User-Agent.

Charging. Each recall delta is charged at the moment it is pushed (recall-delta); a row that fails to charge is not delivered, so the dataset count always equals the charged count. One source-check is charged per run that actually read the source.

Source

ACCC Product Safety recall RSS feed (public, logged-out)

Public, logged-out only — no API key, login, cookie or CAPTCHA.

Snapshot mode is a PREVIEW

watch_mode: false returns at most 25 records, hard-capped in code regardless of max_items, labeled output_mode: "preview". This cell sells change detection, not bulk record export.

Watch semantics

First watch run stores a private baseline and emits zero deltas. Later runs emit NEW / CHANGED / REMOVED keyed on the source-native id with before / after and changed_fields.

Source cadence

The ACCC publishes recalls on business days — the newest on the measured date was 24 Jul 2026. The feed window is 100 recalls, so a run at least weekly keeps the window from rolling past unseen items.

Terminal states

NORMAL · SUCCEEDED-0: GENUINE_EMPTY · SUCCEEDED-0 (no change) · PARTIAL · BLOCKED. A zero with no evidence FAILS loud rather than exiting 0 quietly.

What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

⏰ Set it on a schedule

A single run is a snapshot. The value is the feed: open the actor in Apify Console → Schedules → Create new, add this actor with input 3 above (watch_mode: true), and pick a cadence:

  • Daily — 0 7 * * * (07:00 UTC): catch changes within a day.
  • Weekly — 0 7 * * 1: a Monday digest.

The baseline persists in a named key-value store between runs, so every scheduled run compares against the last one; use a different baseline_id for independent watches. Schedules can also POST results to a webhook (Console → Integrations).

💰 Pricing example

EventFreeBronzeSilverGold
Actor Start (apify-actor-start)$0.02$0.02$0.02$0.02
Source check (source-check)$0.10$0.09$0.08$0.07
Recall Delta (recall-delta)$0.05$0.04$0.04$0.03

Worked at the live Free-tier price (watch mode, one delta per change):

  • 8 recall deltas: $0.02 start + $0.10 source check + 8 × $0.05 = $0.52
  • 25 recall deltas: $0.02 start + $0.10 source check + 25 × $0.05 = $1.37
  • 200 recall deltas: $0.02 start + $0.10 source check + 200 × $0.05 = $10.12

A run that delivers zero rows charges the $0.02 start fee plus the $0.10 source check (the source was read and reported empty). A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 1024 MB.

Yield on the sample run: NORMAL: emitted 10 item(s). max_items is a hard ceiling on what is delivered and billed, never a target. Snapshot output is capped at 25 records regardless of the cap you set; watch mode is the full feed.

This actor reads public, logged-out pages and feeds published by www.productsafety.gov.au. It collects only what the source publishes to any visitor, identifies itself with a contact User-Agent, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

❓ FAQ

Q: Do I need an API key or a login?
A: No. The source (www.productsafety.gov.au) is read logged-out; the input schema has no key field and the actor carries no secrets.

Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input (in watch mode the first run always seeds the baseline and returns zero deltas); BLOCKED means the source refused and the run failed without billing a value event — retry later or narrow the input. A zero-row run bills the start fee plus one source check.

Q: How many rows can one run return?
A: Up to max_items (default 200); snapshot previews stop at 25. Raise the cap for a bigger run; you pay per delivered row.

Q: What does watch mode remember between runs?
A: A private baseline of source-native record ids in a named key-value store (baseline_id names it, so several independent watches can coexist). Each later run diffs the live source against it and emits only changes.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs except the watch baseline. Put it on a schedule for a continuous feed.

Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

Q: How is this different from the other product safety and approvals watches actors?
A: Same output shape and billing model; this one covers www.productsafety.gov.au. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

🆘 Troubleshooting

  • Run FAILED with BLOCKED → the source refused the request or changed its page shape → nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
  • Status says CAPPED → your cap (max_items) was reached → raise it for a bigger run.
  • Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
  • Run TIMED-OUT → a very wide request on a slow day → raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.
  • First watch run shows no deltas → expected: it seeds the baseline; changes appear from the second run.
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⭐ Found this useful?

If this actor saved you a manual check, a quick review on the Apify Store helps other teams find it. Feature request or a source that changed? Open it from the Issues tab — every one is read.