# RFP Feed (`matteogenovese/rfp-feed`) Actor Monitor procurement portals and surface relevant RFP, tender, and bid notices. - **URL**: https://apify.com/matteogenovese/rfp-feed.md - **Developed by:** [Matteo Genovese](https://apify.com/matteogenovese) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 75.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## RFP Feed Turn public procurement pages into a short feed of bid opportunities. ### Why it matters Procurement portals are messy and time-consuming to watch by hand. This Actor pulls out the relevant notices and keeps the feed short. ### What it does - watches a list of public procurement / bid URLs - extracts readable page text - finds notice-like lines using configurable keywords - keeps only a small monitor state for dedupe - sends optional webhook alerts when the page changes ### Best for - contractors - niche vendors - agencies - small teams that hunt bids manually ### Why it wins - focused on useful bid signals, not generic page monitoring - short feed instead of full-page noise - lightweight state for dedupe - webhook-friendly output for Slack / Discord / internal alerts ### Input - `urls` — required list of public source URLs - `keywords` — optional keyword list for relevant notices - `excludeKeywords` — optional filter list - `monitorMode` — store extracted notices and compare with the next run - `dryRun` — skip state writes and webhooks - `webhookUrl` — optional alert destination - `webhookFormat` — `generic`, `slack`, or `discord` - `maxNoticesPerPage` — cap extracted notices per source - `maxItemsPerPage` — cap notices included in the output record - `userAgent` — custom fetch user agent ### Output Each dataset item contains: - URL - page title - baseline / changed flags - change score - current and previous hashes - extracted notices - new / removed notices - matched keywords - a short preview ### Pricing - model: pay per event - current launch price: $0.01 / 1,000 results - effective from: 2026-07-18 - event unit: monitored notice - why this price: undercuts the expensive tender monitors and sits at the practical floor for a simple public feed ### Competition - expensive tender monitors - generic scraper templates - broad lead-monitoring tools ### MVP scope This Actor is intentionally narrow: - no login-heavy portal automation in v1 - no full procurement suite - no bid management CRM - no enterprise workflow engine ### Why this Actor exists Procurement pages are noisy and badly organized. The useful product is a short feed of notices that matter, not another generic website monitor. ### Technical notes - starts from a known-good monitoring scaffold - keyword filtering reduces noise on busy procurement pages - optional webhook alerts support Slack / Discord / generic POSTs # Actor input Schema ## `urls` (type: `array`): Public procurement, tender, or bid portal URLs to monitor. ## `keywords` (type: `array`): Optional keyword list used to detect relevant notices. ## `excludeKeywords` (type: `array`): Optional keywords to ignore. ## `monitorMode` (type: `boolean`): If enabled, the Actor stores extracted notices and compares them with the next run. ## `dryRun` (type: `boolean`): Skip state writes and webhooks while still producing output. ## `webhookUrl` (type: `string`): Optional webhook destination for change alerts. ## `webhookFormat` (type: `string`): Payload shape for the webhook. ## `maxItemsPerPage` (type: `integer`): Maximum number of notices to include in the output record. ## `maxNoticesPerPage` (type: `integer`): Maximum number of matching notices to extract from each page. ## `minLineLength` (type: `integer`): Ignore shorter lines while extracting page text. ## `userAgent` (type: `string`): Custom user agent used for page fetches. ## Actor input object example ```json { "urls": [ "https://example.com/procurement" ], "keywords": [ "rfp", "tender", "bid", "procurement" ], "monitorMode": true, "dryRun": false, "webhookFormat": "generic", "maxItemsPerPage": 20, "maxNoticesPerPage": 10, "minLineLength": 4, "userAgent": "rfp-feed/1.0" } ```` # Actor output Schema ## `dataset` (type: `string`): No description ## `state` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://example.com/procurement" ], "keywords": [ "rfp", "tender", "bid", "procurement" ] }; // Run the Actor and wait for it to finish const run = await client.actor("matteogenovese/rfp-feed").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": ["https://example.com/procurement"], "keywords": [ "rfp", "tender", "bid", "procurement", ], } # Run the Actor and wait for it to finish run = client.actor("matteogenovese/rfp-feed").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://example.com/procurement" ], "keywords": [ "rfp", "tender", "bid", "procurement" ] }' | apify call matteogenovese/rfp-feed --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=matteogenovese/rfp-feed", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "RFP Feed", "description": "Monitor procurement portals and surface relevant RFP, tender, and bid notices.", "version": "0.1", "x-build-id": "3hcjL66bcDtudL4zE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/matteogenovese~rfp-feed/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-matteogenovese-rfp-feed", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/matteogenovese~rfp-feed/runs": { "post": { "operationId": "runs-sync-matteogenovese-rfp-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/matteogenovese~rfp-feed/run-sync": { "post": { "operationId": "run-sync-matteogenovese-rfp-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "urls" ], "properties": { "urls": { "title": "URLs", "type": "array", "description": "Public procurement, tender, or bid portal URLs to monitor.", "items": { "type": "string" } }, "keywords": { "title": "Keywords", "type": "array", "description": "Optional keyword list used to detect relevant notices.", "items": { "type": "string" } }, "excludeKeywords": { "title": "Exclude keywords", "type": "array", "description": "Optional keywords to ignore.", "items": { "type": "string" } }, "monitorMode": { "title": "Monitor mode", "type": "boolean", "description": "If enabled, the Actor stores extracted notices and compares them with the next run.", "default": true }, "dryRun": { "title": "Dry run", "type": "boolean", "description": "Skip state writes and webhooks while still producing output.", "default": false }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "Optional webhook destination for change alerts." }, "webhookFormat": { "title": "Webhook format", "enum": [ "generic", "slack", "discord" ], "type": "string", "description": "Payload shape for the webhook.", "default": "generic" }, "maxItemsPerPage": { "title": "Max items per page", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of notices to include in the output record.", "default": 20 }, "maxNoticesPerPage": { "title": "Max notices per page", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of matching notices to extract from each page.", "default": 10 }, "minLineLength": { "title": "Minimum line length", "minimum": 1, "maximum": 100, "type": "integer", "description": "Ignore shorter lines while extracting page text.", "default": 4 }, "userAgent": { "title": "User agent", "type": "string", "description": "Custom user agent used for page fetches.", "default": "rfp-feed/1.0" } } }, "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 } } } } } } } } } } ```