RFP Opportunity Scout
Pricing
from $0.01 / 1,000 results
Go to Apify Store
RFP Opportunity Scout
Find RFPs/tenders from user-provided procurement pages, extract details, and use AI to summarize and qualify matches.
RFP Opportunity Scout
Pricing
from $0.01 / 1,000 results
Find RFPs/tenders from user-provided procurement pages, extract details, and use AI to summarize and qualify matches.
You can access the RFP Opportunity Scout programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "SPC7kMjeN9sy05LJx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/amcllc~rfp-opportunity-scout/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-amcllc-rfp-opportunity-scout", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/amcllc~rfp-opportunity-scout/runs": { "post": { "operationId": "runs-sync-amcllc-rfp-opportunity-scout", "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/amcllc~rfp-opportunity-scout/run-sync": { "post": { "operationId": "run-sync-amcllc-rfp-opportunity-scout", "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": { "startUrls": { "title": "Procurement pages (start URLs)", "type": "array", "description": "Procurement listing pages to crawl (e.g., a portal 'opportunities' page). Provide multiple sources if needed.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler.", "default": 200 }, "maxDepth": { "title": "Max Crawl Depth", "type": "integer", "description": "Maximum link depth from the start URLs. Depth 0 = listing page only. Depth 1 includes detail pages.", "default": 1 }, "sameHostnameOnly": { "title": "Same Hostname Only", "type": "boolean", "description": "If enabled, the crawler only enqueues links from the same hostname as each start URL.", "default": true }, "detailUrlIncludes": { "title": "Detail URL includes (optional)", "type": "array", "description": "Optional list of substrings. If set, only links whose URL contains one of these values are treated as opportunity detail pages.", "default": [ "rfp", "tender", "solicitation", "opportunity", "procurement" ], "items": { "type": "string" } }, "keywords": { "title": "Keywords (optional)", "type": "array", "description": "Keyword pre-filter for detail pages (used before AI). If empty, all detail pages are considered.", "default": [], "items": { "type": "string" } }, "excludeKeywords": { "title": "Exclude keywords (optional)", "type": "array", "description": "If any exclude keyword is present, the opportunity is skipped.", "default": [], "items": { "type": "string" } }, "minMatchScore": { "title": "Minimum match score", "type": "integer", "description": "Minimum AI match score (0-100) for an opportunity to be considered qualified.", "default": 60 }, "maxConcurrency": { "title": "Max Concurrency", "type": "integer", "description": "Maximum number of concurrent requests.", "default": 20 }, "requestDelayMillis": { "title": "Request Delay (ms)", "type": "integer", "description": "Optional delay applied at the start of each request handler to reduce load on target servers.", "default": 0 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Use Apify Proxy for IP rotation to prevent blocking." }, "debugLog": { "title": "Debug logging", "type": "boolean", "description": "Enable verbose logging (useful for development).", "default": false }, "aiEnrichmentEnabled": { "title": "AI enrichment enabled", "type": "boolean", "description": "When enabled, the Actor uses an LLM (Ollama Cloud or local Ollama) to summarize and qualify opportunities.", "default": true }, "llmApiStyle": { "title": "LLM API style", "enum": [ "ollama", "openai" ], "type": "string", "description": "Which API format to use: 'ollama' (native /api/chat) or 'openai' (OpenAI-compatible /v1/chat/completions).", "default": "ollama" }, "llmBaseUrl": { "title": "LLM base URL", "type": "string", "description": "Base URL for the LLM API. For local Ollama: http://localhost:11434. For Ollama Cloud, set the Cloud base URL here or via LLM_BASE_URL env var.", "default": "http://localhost:11434" }, "llmApiKey": { "title": "LLM API key (optional)", "type": "string", "description": "API key for the LLM provider. Prefer setting LLM_API_KEY (or OLLAMA_API_KEY) as an Actor secret instead of passing it in input." }, "llmModel": { "title": "LLM model", "type": "string", "description": "Model used for structured enrichment. Manage this via LLM_MODEL/OLLAMA_MODEL env vars if you prefer.", "default": "llama3.1:8b" }, "llmChatCompletionsUrl": { "title": "LLM chat completions URL (advanced)", "type": "string", "description": "Optional full URL override for OpenAI-compatible chat completions (e.g., https://.../v1/chat/completions). Takes precedence over llmBaseUrl when llmApiStyle='openai'." }, "aiMaxOpportunities": { "title": "Max AI-enriched opportunities", "type": "integer", "description": "Maximum number of opportunities that will be sent to the AI model for enrichment.", "default": 50 }, "aiConcurrency": { "title": "AI concurrency", "type": "integer", "description": "How many AI enrichment requests can run in parallel.", "default": 3 }, "aiMaxInputCharsPerOpportunity": { "title": "AI input chars per opportunity", "type": "integer", "description": "Maximum characters sent to the AI model per opportunity.", "default": 14000 }, "aiMaxOutputTokens": { "title": "AI max output tokens", "type": "integer", "description": "Maximum output tokens requested from the AI model per opportunity.", "default": 900 }, "aiTemperature": { "title": "AI temperature", "type": "number", "description": "Sampling temperature for AI enrichment. Lower values are more deterministic.", "default": 0.2 }, "apifyPpeEnabled": { "title": "Pay per event (PPE) enabled", "type": "boolean", "description": "Enable if monetized with Apify pay-per-event. Disable for local development.", "default": true }, "apifyPpeEventName": { "title": "PPE event name", "type": "string", "description": "Event to charge for each qualified opportunity.", "default": "qualified-opportunity" }, "apifyPpeStopOnLimit": { "title": "Stop when user limit reached", "type": "boolean", "description": "If enabled, the Actor stops further AI enrichments when the user's max cost limit is reached.", "default": true }, "apifyPpeChargeOnlyIfQualified": { "title": "Charge only if qualified", "type": "boolean", "description": "If enabled, charges only when AI matchScore >= minMatchScore (recommended for buyer-friendly pricing).", "default": true } } }, "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 RFP Opportunity Scout 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: