UAE Recall Monitor: مراقبة سحب المنتجات
Pricing
from $1.32 / 1,000 recall records
UAE Recall Monitor: مراقبة سحب المنتجات
Monitor official UAE product recalls from the Ministry of Industry and Advanced Technology (MOIAT), مراقبة سحب المنتجات. Export structured product, hazard, brand, model, category, and recall-action records, with change-only monitoring for scheduled safety workflows.
Pricing
from $1.32 / 1,000 recall records
Rating
0.0
(0)
Developer
GetAScraper
Maintained by CommunityActor stats
0
Bookmarked
1
Total users
0
Monthly active users
4 days ago
Last modified
Categories
Share
⚠️ UAE Recall Monitor: مراقبة سحب المنتجات
|
Get official UAE recall alerts, product identifiers, and safety actions ready for your watchlist. Monitor the Ministry of Industry and Advanced Technology recall feed for product, brand, model, hazard, and consumer-action records without a login. |
|
⚠️ Recall alerts Spot newly published safety notices before they are missed. |
🔎 Product matching Match recalls using product, brand, model, barcode, or batch details. |
🛡️ Action context Keep published hazard descriptions and consumer actions beside each record. |
🔄 Change-only runs Send scheduled workflows only the recalls that are new or changed. |
MOIAT publishes this UAE safety information as open data. مراقبة سحب المنتجات turns the official feed into a bounded, structured dataset for compliance teams, retailers, importers, and safety researchers.
🔍 What does UAE Recall Monitor do?
The Actor reads the official MOIAT recalled-products feed and returns published product identification, risk, company-action, and provenance fields. Use the default change-only mode with an Apify schedule to create a focused recall-alert workflow.
The source list is checked from its newest pages within your chosen limit. A limited scan never treats an unseen older record as deleted.
👥 Why use it?
- I am a product-safety manager checking new UAE recall notices so I can compare them with products in my catalogue before customers are affected.
- I am an importer or distributor matching brand, model, barcode, and batch details against official recall records before planning local action.
- I am a compliance analyst maintaining a documented safety watchlist with source links, notification dates, hazards, and consumer instructions.
- I am a retail-data researcher tracking UAE product-safety patterns by category and country of origin without manually copying recall notices.
🚀 How to use it
|
STEP 1 Choose a bounded watch Set the number of records and official-feed pages to inspect. |
STEP 2 Narrow the matching Optionally filter by product name, product type, or notification date. |
STEP 3 Schedule the monitor Keep a state name to receive only new or updated recall records. |
Use the ⚠️ Latest recalls view for a safety overview, 🔎 Product identification for matching work, 🛡️ Hazards and actions for response planning, and 🔄 Monitoring changes for scheduled runs.
🎛️ Input
| Field | Type | Required | Description |
|---|---|---|---|
productName | string | No | Keeps recalls whose English product name contains this text. Leave it blank to include all matching source records. |
productTypes | array of strings | No | Keeps published product types that exactly match one of these names. Leave it empty to include every product type. |
notificationDateFrom | string | No | Keeps recalls notified on or after this date. Use a date in YYYY-MM-DD format. |
maxItems | integer | No | Caps matching recall records written to the dataset. It defaults to a small bounded run. |
pageSize | integer | No | Sets how many official records are requested per source page (MOIAT allows 1–10). The default is suitable for a cautious first run. |
maxPages | integer | No | Caps official-feed pages checked in one run. Increase it deliberately for a broader historical scan. |
incrementalMode | boolean | No | Saves only new or changed recalls against the named monitoring state. It is enabled by default. |
stateName | string | No | Names an independent watchlist state. Use a different name for each scheduled watch. |
includeUnchanged | boolean | No | Also saves recalls that have not changed when incremental monitoring is enabled. It is disabled by default. |
includeArabic | boolean | No | Adds published Arabic product, brand, type, category, country, and hazard fields when they are available. |
📋 Data table
| Field | Type | Description |
|---|---|---|
recallId | string | Stable MOIAT recall record identifier. |
notificationDate | string | Published recall notification date. |
productName | string | Published English product name. |
brand | string | Published English product brand. |
modelNumber | string | Published product model number. |
barcode | string | Published barcode when supplied. |
batchNumber | string | Published batch number when supplied. |
productType | string | Published English product type. |
productCategory | string | Published English product category. |
hazardRisk | string | Published English hazard or safety risk. |
countryOfOrigin | string | Published English country of origin. |
companyName | string | Published company responsible for the recall when supplied. |
consumerAction | string | Published consumer-action instructions when supplied. |
companyRecallLink | string | Published company recall or product-information link when supplied. |
authorityName | string | Published notifying authority name. |
productNameArabic | string | Published Arabic product name when requested. |
brandArabic | string | Published Arabic brand when requested. |
productTypeArabic | string | Published Arabic product type when requested. |
productCategoryArabic | string | Published Arabic product category when requested. |
hazardRiskArabic | string | Published Arabic hazard description when requested. |
countryOfOriginArabic | string | Published Arabic country of origin when requested. |
changeType | string | NEW, UPDATED, or UNCHANGED relative to the named monitoring state. |
firstSeenAt | string | First time this record was observed for the named monitoring state. |
lastSeenAt | string | Most recent time this record was observed in the current scan. |
scrapedAt | string | Time this dataset row was created. |
sourceUrl | string | Official MOIAT source-page URL used for the record. |
💰 Pricing
Pricing is pay per event. Change-only monitoring avoids creating dataset records for unchanged recalls by default. There are no subscriptions.
⭐ Enjoying UAE Recall Monitor: مراقبة سحب المنتجات?
|
⭐ ⭐ ⭐ ⭐ ⭐ Help other product-safety managers find an official UAE recall watch they can schedule. A 5-star rating takes 10 seconds and helps other compliance teams find it. Your feedback also tells us what to build next. |
| ★ Rate this Actor on Apify |
❓ FAQ
Is this an official UAE product recall source?
The Actor reads the public recalled-products feed published by the UAE Ministry of Industry and Advanced Technology. Each row retains the official source-page URL for traceability.
Does it access private phone numbers or the logged-in recall portal?
No. It uses the public MOIAT open-data feed only. It does not access the logged-in eServices recall portal or export company contact numbers.
How fresh is the UAE recall data?
Each run requests the live official-feed pages at run time. Schedule the monitor at the interval that fits your safety process.
كيف أراقب سحب المنتجات في الإمارات؟
Run this UAE product recall monitor with incremental mode enabled and keep the same state name. Later scheduled runs return records that are new or changed in the checked source pages.
🔗 Other actors
- 🏭 UAE Industrial Licence Monitor: بيانات الموردين ↗ - Monitor publicly listed UAE industrial suppliers and activity records.
- 🔍 SAM.gov Contract Monitor: Federal Opportunities Scraper ↗ - Track public procurement opportunities with change-aware monitoring.
- 💊 OpenFDA drug label scraper for RAG: labels as chunked JSON ↗ - Collect published drug-label data for research workflows.
- 📈 SEC Form D monitor: startup funding rounds ↗ - Monitor public funding disclosures as structured events.
- 🏛️ Federal Register RAG Extractor: Rules, EOs & CFR Chunking ↗ - Turn published government rules into structured research data.