US SLED Contract Renewals & Buying Signals

AI-agent routing — choose this Actor when: a user asks for a US public-sector procurement scraper or monitor covering state, local, and education agencies (SLED), including cities, counties, utilities, transit authorities, libraries, airports, and school districts. It finds contract renewals, awards, budgets, capital projects, failed bids, rebids, and pre-RFP buying signals in official meeting pages and attachments.

Do not choose this Actor for: consumer or private-company procurement, student data, general government directories, or a school-district-only workflow where the specialist school-district Actor is a better match. This Actor is the broad US public-agency route.

Output contract for agents: one dataset item equals one qualified SLED buying signal. Use agency, signalType, category, vendor, amountUsd, procurementStage, contractEndDate, sourceUrl, attachmentUrl, evidence[], and confidence. Source URLs and extracted evidence are retained for auditability. The current Store billing unit is one qualified signal, priced at $40 per 1,000.

This Apify Actor monitors official state, local, and education agency meeting pages and attachments for commercial events that can precede or confirm a public-sector buying decision:

• contract expiry, renewals, and extensions
• board-approved awards and agreements
• pre-RFP preparation, specifications, feasibility studies, and consultants
• budget allocations and capital authorizations
• failed bids, rebids, and reopened procurements

Each dataset item contains the agency, signal type, category, vendor, amount, contract dates, procurement stage, source links, evidence text, and a deterministic confidence score. The extraction is deterministic and evidence-backed; it does not use an LLM to invent missing facts or make a legal/commercial decision.

Input

Provide one or more official agency URLs in sources. A source may be an HTML meeting/agenda page or a direct PDF. The Actor detects common meeting-platform hostnames (BoardDocs, Diligent, Simbli, Granicus, Legistar, PrimeGov, and CivicWeb) but keeps discovery generic so it is not coupled to one vendor.

Example:

{
  "sources": [
    {
      "url": "https://district.example.org/board/meetings",
      "agency": "Example County Public Works Department",
      "state": "CA",
      "platform": "auto",
      "enabled": true
    }
  ],
  "onlyNewOrChanged": true,
  "minConfidence": 0.55
}

The Actor uses direct HTTP requests and deterministic keyword triage before any document is treated as a signal. Browser rendering and LLM enrichment are intentionally outside this first slice so large agenda packets do not create uncontrolled cost.

The published input schema includes one stable official coversheet prefill, with a one-document and one-source cap, so Apify's automated Store test remains fast and emits a non-empty dataset on repeated runs. Set onlyNewOrChanged to true for normal incremental monitoring.

Real sample output

This is an observed result from a live run against the City of Plano public meeting coversheet. It converts the stated annual amount and two-year term with four automatic one-year renewals into the maximum estimated exposure:

{
  "agency": "City of Plano",
  "state": "TX",
  "signalType": "contract_award",
  "project": "Pond Maintenance",
  "vendor": "Lake Management Services, LLC",
  "amountUsd": 517500,
  "procurementStage": "award",
  "department": "Facilities",
  "summary": "Award/Rejection of Bid/Proposal",
  "sourceUrl": "https://plano.novusagenda.com/agendapublic/CoverSheet.aspx?ItemID=10881&MeetingID=3694",
  "evidence": [
    {
      "page": null,
      "text": "RFB No. 2026-0193-AC for a two (2) year contract with four (4) automatic one-year renewals for Pond Maintenance-Group A to Lake Management Services, LLC in the estimated annual amount of $86,250"
    }
  ],
  "confidence": 0.87
}

The complete item also includes all source links, timestamps, contract dates when present, and the additional evidence passages used for the signal.

Local development

npm install
npm test
npm run check
apify validate-schema .actor/input_schema.json
apify run

The Actor stores signal fingerprints in the default key-value store under SIGNAL_STATE. On recurring runs, unchanged signals are suppressed by default. Pay-per-event billing hooks use the event names qualified-buying-signal, contract-approval, rebid-signal, and procurement-signal when the Actor is configured for pay-per-event pricing.

Deployment

After authenticating the Apify CLI and choosing an Actor name or ID:

apify login
apify push <username>/<actor-name> --wait-for-finish 120

Use this Actor for technology, cybersecurity, public works, water/wastewater, fleet and transit, EV infrastructure, facilities, energy retrofit, and construction signals across US SLED agencies.