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URL: https://apify.com/zentrafoundry/dach-cctv-security-systems-tender-feed

โ‡ฑ DACH CCTV / Security Systems Tender Feed | Apify Actor ยท Apify


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DACH CCTV / Security Systems Tender Feed

Pricing

$109.00 / 1,000 qualified-tenders

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DACH CCTV / Security Systems Tender Feed

Monitor TED Search API, Common Procurement Vocabulary, oeffentlichevergabe.de Open Data and return tender notice records with buyer, deadline, category, source URL, and action-ready context.

Pricing

$109.00 / 1,000 qualified-tenders

Rating

0.0

(0)

Developer

๐Ÿ‘ Zentra

Zentra

Maintained by Community

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1

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5 minutes ago

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Monitor TED Search API, Common Procurement Vocabulary, oeffentlichevergabe.de Open Data and return tender notice records with buyer, deadline, category, source URL, and action-ready context.

Who this is for

Vendors, suppliers, contractors, consultants, sales teams, and bid teams use this actor when they need focused dach cctv / security systems tender output instead of a broad generic scraper or manual checking.

Buyer outcomes

  • Find relevant dach cctv / security systems tender opportunities faster with normalized source evidence and match context.
  • Prioritize review using buyer names, deadlines, categories, source URLs, scores, and confidence.
  • Route new or changed opportunities into recurring CRM, spreadsheet, bid, or alert workflows.

Sources monitored

Inputs

  • sourceMode: use sample for a smoke run or configured public tender source modes.
  • startUrls: official tender notices, buyer pages, procurement documents, or source URLs.
  • sourceIds: approved public procurement source identifiers.
  • maxItems: bounded number of tender notices to return.
  • sinceLastRun: emit only new or changed notices when scheduled.
  • watchlistTerms: buyer, CPV/category, region, deadline, value, or requirement terms.
  • webhookUrl: optional destination for bid, CRM, spreadsheet, or alert workflows.

How it transforms the input

  • Input: official tender notice, procurement portal result, buyer page, or public tender document.
  • Transformation: normalize the notice, preserve source evidence, and apply buyer/category/deadline filters.
  • Output: tender notice with buyer, deadline, category, value when available, source URL, match reason, and confidence.

Outputs

The actor returns structured tender notice records with buyer, deadline, region, category, CPV/category hints, value when available, source URL, match reason, and confidence.

Family-specific fields to expect:

  • buyerName: Public buyer or awarding authority.

  • deadline: Submission or response deadline when available.

  • category: Tender category or CPV/category hint.

  • sourceUrl: Official notice or document URL.

  • matchReason: Why the notice matched the actor focus.

  • 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 qualified-tender, dataset-processed, record-saved, enriched-record. Small validation runs are supported so you can inspect output before scaling a schedule.

  • qualified-tender: Charge when DACH CCTV / Security Systems Tender Feed produces Qualified Tender. 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 DACH CCTV / Security Systems Tender Feed 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 DACH CCTV / Security Systems Tender Feed. 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 DACH CCTV / Security Systems Tender Feed 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~dach-cctv-security-systems-tender-feed/runs"\
+ -H"Authorization: Bearer $APIFY_TOKEN"\
+ -H"Content-Type: application/json"\
+ -d'{"maxItems":10,"sourceIds":["TED-SEARCH","TED-CPV","OEV-OPEN"],"includeSourceUrls":true,"includeMatchReasons":true,"outputMode":"buyer-ready-records"}'

Recommended first run

{
"maxItems":10,
"sourceIds":[
"TED-SEARCH",
"TED-CPV",
"OEV-OPEN"
],
"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/dach-cctv-security-systems-tender-feed.json

Recommended public tasks

[
{
"name":"Review 10 tender notices",
"description":"Low-cost validation run for checking buyer, deadline, category, and source fields.",
"input":{
"maxItems":10,
"sourceIds":[
"TED-SEARCH",
"TED-CPV",
"OEV-OPEN"
],
"includeSourceUrls":true,
"includeMatchReasons":true,
"outputMode":"buyer-ready-records",
"actorSlug":"dach-cctv-security-systems-tender-feed"
}
},
{
"name":"Daily tender notice review",
"description":"Recurring batch for new public procurement notices and changed opportunity details.",
"schedule":"Daily during local business hours",
"input":{
"maxItems":25,
"sourceIds":[
"TED-SEARCH",
"TED-CPV",
"OEV-OPEN"
],
"includeSourceUrls":true,
"includeMatchReasons":true,
"outputMode":"buyer-ready-records",
"actorSlug":"dach-cctv-security-systems-tender-feed"
}
}
]

Use cases

  • Track new dach cctv / security systems tender opportunities without checking each tender source manually.
  • Route qualified records into CRM, spreadsheets, or internal review queues.
  • Monitor source links, tender details, and match reasons for faster triage.
  • Schedule recurring runs to catch new opportunities while keeping first-run costs low.

Trust and compliance

  • Uses TED Search API, Common Procurement Vocabulary, oeffentlichevergabe.de Open Data.
  • 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.

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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