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URL: https://apify.com/zentrafoundry/recall-alert-monitor

โ‡ฑ Recall Alert Monitor | Apify Actor ยท Apify


Pricing

$109.00 / 1,000 qualified-alerts

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Recall Alert Monitor

Monitor EU Safety Gate alerts, EU ICSMS, US CPSC recalls API and return product, brand, risk, authority, market, source URL, and business-action fields.

Pricing

$109.00 / 1,000 qualified-alerts

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(0)

Developer

๐Ÿ‘ Zentra

Zentra

Maintained by Community

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Monitor EU Safety Gate alerts, EU ICSMS, US CPSC recalls API and return product, brand, risk, authority, market, source URL, and business-action fields.

Who this is for

Marketplaces, sellers, importers, distributors, catalog teams, and compliance operators use this actor when they need focused recall alert output instead of a broad generic scraper or manual checking.

Buyer outcomes

  • Catch recall alert product-risk signals before manual checks miss catalog or marketplace exposure.
  • Prioritize review with product, brand, risk type, authority, affected market, severity, dates, and source URL.
  • Route source-backed decision-support alerts into compliance, catalog, seller, or importer workflows.

Sources monitored

Inputs

  • sourceMode: use sample for a smoke run or configured official recall/safety source modes.
  • startUrls: official alert, authority, recall, market-surveillance, or product-safety URLs when URL-backed lookup is supported.
  • sourceIds: approved official recall, safety, medical-device, or compliance source identifiers.
  • maxItems: bounded number of alert records to return.
  • sinceLastRun: emit only new or updated safety alerts when scheduled.
  • watchlistTerms: brand, product type, model, marketplace category, hazard, country, or authority keywords.
  • webhookUrl: optional destination for compliance, catalog, seller, or importer review.

How it transforms the input

  • Input: official safety alert, recall, product-risk, medical-device, market-surveillance, or authority record.
  • Transformation: normalize product, brand, risk, authority, affected market, severity, dates, and evidence fields.
  • Output: source-backed alert record with recommended business action and decision-support context.

Outputs

The actor returns recall and safety alert records with product, brand, risk type, authority, affected market, severity, dates, source URL, and recommended business action.

Family-specific fields to expect:

  • alertId: Official alert or recall identifier.

  • productName: Affected product name.

  • brand: Brand or manufacturer when available.

  • category: Product category.

  • hazard: Hazard, defect, or risk description.

  • riskLevel: Severity or risk level used for triage.

  • country: Affected country or market.

  • authorityAction: Recall, withdrawal, warning, corrective action, or authority note.

  • sourceUrl: Official alert record URL.

  • recordId: Stable record ID for exports, dedupe, and downstream joins.

  • title: Human-readable record title for review and export.

  • sourceName: Source identifier used to trace where the record came from.

  • sourceUrl: Direct source URL for review and audit.

  • dedupeKey: Stable key used for delta mode and duplicate suppression.

  • retrievedAt: Timestamp showing when the actor retrieved or generated this record.

  • score: Normalized field for filtering, routing, or downstream review.

  • scoreReasons: Buyer-readable explanation for the score or match.

  • confidence: Normalized field for filtering, routing, or downstream review.

  • errors: Normalized field for filtering, routing, or downstream review.

  • runSummary: Run-level summary for counts, filters, charges, and next actions.

Pricing

This actor uses Apify pay-per-event pricing. Current public listing guidance: $29-$49 / 1,000 launch validation records until public data proof is complete. Charges are tied to buyer-visible value events such as recall-alert, dataset-processed, record-saved, enriched-record. Small validation runs are supported so you can inspect output before scaling a schedule.

  • recall-alert: Charge when Recall Alert Monitor produces Change Alert. Typical price: $0.043. A run that produces 10 matching records charges only for the matched buyer-value events and remains capped by the run limit.
  • dataset-processed: Base charge when Recall Alert Monitor writes a non-empty default dataset. Typical price: $0.011. A run that produces 10 matching records charges only for the matched buyer-value events and remains capped by the run limit.
  • record-saved: Charge for each buyer-visible result saved by Recall Alert Monitor. Typical price: $0.003. A run that produces 10 matching records charges only for the matched buyer-value events and remains capped by the run limit.
  • enriched-record: Charge when Recall Alert Monitor adds match scoring, source evidence, or enrichment to a saved result. Typical price: $0.022. A run that produces 10 matching records charges only for the matched buyer-value events and remains capped by the run limit.
  • first-run-cap: Recommended first run budget cap. Typical price: $3.820. Start with the default small run, inspect the dataset, then raise maxItems or schedule recurring runs.

API example

curl-X POST "https://api.apify.com/v2/actors/zentrafoundry~recall-alert-monitor/runs"\
+ -H"Authorization: Bearer $APIFY_TOKEN"\
+ -H"Content-Type: application/json"\
+ -d'{"maxItems":10,"sourceIds":["SAFETY-GATE","ICSMS","CPSC-API"],"includeSourceUrls":true,"includeMatchReasons":true,"outputMode":"buyer-ready-records"}'

Recommended first run

{
"maxItems":10,
"sourceIds":[
"SAFETY-GATE",
"ICSMS",
"CPSC-API"
],
"includeSourceUrls":true,
"includeMatchReasons":true,
"outputMode":"buyer-ready-records"
}

Sample output

Review the real stored sample from the latest successful quality run: https://zentra.nimblique.studio/external/actor-review/samples/recall-alert-monitor.json

Recommended public tasks

[
{
"name":"Review 10 safety alert matches",
"description":"Low-cost validation run for checking product, brand, risk, authority, and source fields.",
"input":{
"maxItems":10,
"sourceIds":[
"SAFETY-GATE",
"ICSMS",
"CPSC-API"
],
"includeSourceUrls":true,
"includeMatchReasons":true,
"outputMode":"buyer-ready-records",
"actorSlug":"recall-alert-monitor"
}
},
{
"name":"Daily recall and safety review",
"description":"Recurring batch for new official recall, safety, or compliance-risk alerts.",
"schedule":"Daily during local business hours",
"input":{
"maxItems":25,
"sourceIds":[
"SAFETY-GATE",
"ICSMS",
"CPSC-API"
],
"includeSourceUrls":true,
"includeMatchReasons":true,
"outputMode":"buyer-ready-records",
"actorSlug":"recall-alert-monitor"
}
}
]

Use cases

  • Monitor recall alert recalls and safety alerts without checking authority portals manually.
  • Route high-risk product, brand, market, or category matches to compliance and catalog teams.
  • Keep source URLs and authority context attached for review.
  • Support marketplace, importer, seller, or distributor triage with decision-support signals.

Trust and compliance

  • Uses EU Safety Gate alerts, EU ICSMS, US CPSC recalls API.
  • Keeps source URLs and source identifiers in output records for auditability.
  • Does not require private credentials unless a source is explicitly configured for approved authenticated access.
  • Recall, safety, and compliance outputs are decision support only, not legal or regulatory advice.

Limitations

  • Results depend on public-source availability, source uptime, and source update cadence.
  • Public sources can revise records after publication; rerun scheduled tasks for fresh evidence.
  • Scores and match reasons are decision-support signals, not legal, financial, procurement, medical, safety, or regulatory advice.
  • Large production runs can cost more than the default smoke run; start small, inspect output, then scale schedules.

FAQ

Can I run this without URLs? Yes. The default sample mode is designed to succeed without user-supplied URLs, and URL-backed runs can use startUrls when needed.

Can I schedule it? Yes. Use sinceLastRun, watchlistTerms, and optional webhookUrl to turn the actor into a recurring alert or report workflow.

How do I verify value before scaling? Run the recommended first-run input, review the sample output fields, then increase maxItems or schedule recurring runs after the dataset matches your use case.

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