Public Procurement Intelligence
Pricing
from $9.80 / 1,000 opportunity record checkeds
Public Procurement Intelligence
Monitor public procurement opportunities, awards, forecasts, and deadline changes from official sources.
Public Procurement Intelligence
Pricing
from $9.80 / 1,000 opportunity record checkeds
Monitor public procurement opportunities, awards, forecasts, and deadline changes from official sources.
You can access the Public Procurement Intelligence programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "GBGS0vOdb71Q5XRFt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/junipr~public-procurement-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-junipr-public-procurement-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/junipr~public-procurement-intelligence/runs": { "post": { "operationId": "runs-sync-junipr-public-procurement-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/junipr~public-procurement-intelligence/run-sync": { "post": { "operationId": "run-sync-junipr-public-procurement-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "records": { "title": "Current Records", "type": "array", "description": "Current procurement opportunity, award, or forecast records. Accepts normalized rows, SAM.gov-like opportunities, or USAspending-like award rows.", "items": { "type": "object" }, "default": [] }, "previousRecords": { "title": "Previous Records", "type": "array", "description": "Optional previous snapshot used to detect deadline, status, amount, and recipient changes.", "items": { "type": "object" }, "default": [] }, "keywords": { "title": "Keywords", "type": "array", "description": "Terms to highlight in titles and descriptions.", "items": { "type": "string" }, "default": [ "software", "data", "analytics" ] }, "fetchMode": { "title": "Fetch Mode", "enum": [ "none", "usaspending_awards", "sam_gov_opportunities" ], "type": "string", "description": "Optional official-source fetch mode. Defaults to none for safe local and Store quality runs.", "default": "none" }, "samApiKey": { "title": "SAM.gov API Key", "type": "string", "description": "Required only for fetchMode=sam_gov_opportunities. Do not put secrets in public task inputs.", "default": "" }, "userAgentContact": { "title": "User-Agent Contact", "type": "string", "description": "Contact email or URL for official-source API requests. Required when fetchMode is not none.", "default": "" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword search for optional fetch modes.", "default": "software" }, "postedFrom": { "title": "Posted From", "type": "string", "description": "Optional YYYY-MM-DD lower date bound for fetch modes.", "default": "" }, "postedTo": { "title": "Posted To", "type": "string", "description": "Optional YYYY-MM-DD upper date bound for fetch modes.", "default": "" }, "maxRecords": { "title": "Maximum Records", "minimum": 1, "maximum": 250, "type": "integer", "description": "Maximum records to normalize and emit.", "default": 10 }, "closingSoonDays": { "title": "Closing Soon Days", "minimum": 1, "maximum": 90, "type": "integer", "description": "Deadline window that marks open opportunities as closing soon.", "default": 14 }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 50, "type": "integer", "description": "Alias for Max Targets/Maximum Records used by the Junipr actor baseline. When both are provided, actor-specific limits still apply.", "default": 1 }, "includeReport": { "title": "Generate Summary Report", "type": "boolean", "description": "Store normalized results, summary JSON, and Markdown report in the default key-value store.", "default": true }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "Validate input and write a dry-run summary without PPE charges or dataset output.", "default": false }, "debug": { "title": "Debug Logging", "type": "boolean", "description": "Enable verbose normalization logs.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Public Procurement Intelligence from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: