# Public Changelog & Release Notes Intelligence Agent (`jacksu/public-changelog-release-notes-agent`) Actor Extract public changelog and release-note entries, dates, versions, categories, focus-term matches, change hashes, and diagnostics with useful-result pricing. - **URL**: https://apify.com/jacksu/public-changelog-release-notes-agent.md - **Developed by:** [jack su](https://apify.com/jacksu) (community) - **Categories:** Developer tools, Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 useful changelog results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 ## Public Changelog & Release Notes Intelligence Agent Turn public changelog and release-notes pages into compact product-update intelligence for AI agents, competitive monitoring, product marketing, developer relations, security review, and sales research. The Actor fetches the supplied public changelog URLs and extracts release entries with titles, dates, version hints, categories, snippets, matched focus terms, confidence, completeness, diagnostics, and a stable changelog hash for change tracking. ### How To Use It For a first-pass product-update inventory, provide public changelog or release-notes URLs and leave focus terms empty: ```json { "changelogUrls": ["https://vercel.com/changelog"], "focusTerms": [], "previousChangelogRecords": [], "maxEntries": 10, "requestTimeoutSecs": 20 } ```` For targeted monitoring, add `focusTerms` such as a product name, API, feature, integration, security term, pricing term, or competitor name. If focus terms are supplied, useful-result charging requires at least one matched term inside the extracted entries. For repeat monitoring, pass previous dataset records from this Actor in `previousChangelogRecords`. If the changelog hash is unchanged, the record is written as `changeStatus: "unchanged"` without the useful event charge. ### What It Finds Useful evidence can include: - release-note or changelog entry titles, dates, version hints, and snippets - latest entry date and entry count - heuristic categories such as added, fixed, security, deprecated, breaking, and improved - matched focus terms for product, API, integration, security, pricing, or competitor monitoring - page title, evidence URLs, confidence score, completeness score, diagnostics, and a stable changelog hash ### Pricing Pay-per-event pricing is designed to stay predictable: - `apify-actor-start`: a tiny run-start fee - `useful-changelog-result`: charged only for useful public changelog or release-note intelligence records - no `apify-default-dataset-item` If `focusTerms` are supplied, useful-result charging requires at least one matched term inside the extracted entries. Invalid inputs, duplicate equivalent URLs, private-network targets, query/fragment/token inputs, failed fetches, focus misses, unchanged records, and pages without changelog entries do not charge the useful event. ### Output Each page returns one record with fields such as: - `status`, `changeStatus`, `inputUrl`, `finalUrl`, and `siteOriginUrl` - `pageTitle`, `entries`, `entryCount`, and `latestEntryDate` - `categories`, `matchedFocusTerms`, `changelogHash`, and `previousChangelogHash` - `confidenceScore`, `completenessScore`, `missingFields`, and `diagnostics` Entry categories are heuristic labels such as `added`, `fixed`, `security`, `deprecated`, `breaking`, and `improved`. ### Boundaries This Actor is a changelog and release-notes intelligence tool, not a generic webpage monitor, article extractor, website crawler, GitHub API client, software-vulnerability scanner, pricing monitor, social scraper, or browser renderer. It fetches only the provided public page URLs. It does not log in, use cookies, render JavaScript, call private APIs, bypass paywalls, scrape search-engine results, or enrich private persons. ### Not For This Actor is not a generic webpage diff monitor, vulnerability scanner, package registry tracker, GitHub API client, pricing-page monitor, social listening tool, browser renderer, or search-engine scraper. It extracts bounded public changelog and release-note evidence for downstream review. # Actor input Schema ## `changelogUrls` (type: `array`): Public HTTP/HTTPS changelog or release-notes page URLs. First run creates product-update intelligence records; later runs can compare against previousChangelogRecords. Query parameters, fragments, credentials, path params, and private-network addresses are rejected. ## `focusTerms` (type: `array`): Optional product, API, feature, security, pricing, integration, or competitor terms to match in release entries. Leave empty for a first-pass inventory. When supplied, useful-result charging requires at least one match. ## `previousChangelogRecords` (type: `array`): Previous dataset records from this Actor for repeat monitoring. Leave empty for a first-pass audit. If the changelog hash is unchanged, the result is diagnostic and does not charge the useful event. ## `maxEntries` (type: `integer`): Maximum changelog entries to return per page. ## `requestTimeoutSecs` (type: `integer`): Maximum time in seconds to wait for each public page request. ## Actor input object example ```json { "changelogUrls": [ "https://vercel.com/changelog" ], "focusTerms": [], "previousChangelogRecords": [], "maxEntries": 10, "requestTimeoutSecs": 20 } ``` # Actor output Schema ## `datasetId` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("jacksu/public-changelog-release-notes-agent").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 = {} # Run the Actor and wait for it to finish run = client.actor("jacksu/public-changelog-release-notes-agent").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 '{}' | apify call jacksu/public-changelog-release-notes-agent --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jacksu/public-changelog-release-notes-agent", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Public Changelog & Release Notes Intelligence Agent", "description": "Extract public changelog and release-note entries, dates, versions, categories, focus-term matches, change hashes, and diagnostics with useful-result pricing.", "version": "0.1", "x-build-id": "VeiPLSNiCFdoWaiwB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jacksu~public-changelog-release-notes-agent/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jacksu-public-changelog-release-notes-agent", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jacksu~public-changelog-release-notes-agent/runs": { "post": { "operationId": "runs-sync-jacksu-public-changelog-release-notes-agent", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jacksu~public-changelog-release-notes-agent/run-sync": { "post": { "operationId": "run-sync-jacksu-public-changelog-release-notes-agent", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "changelogUrls" ], "properties": { "changelogUrls": { "title": "Changelog URLs", "minItems": 1, "maxItems": 20, "type": "array", "description": "Public HTTP/HTTPS changelog or release-notes page URLs. First run creates product-update intelligence records; later runs can compare against previousChangelogRecords. Query parameters, fragments, credentials, path params, and private-network addresses are rejected.", "items": { "type": "string" }, "default": [ "https://vercel.com/changelog" ] }, "focusTerms": { "title": "Focus terms", "maxItems": 20, "type": "array", "description": "Optional product, API, feature, security, pricing, integration, or competitor terms to match in release entries. Leave empty for a first-pass inventory. When supplied, useful-result charging requires at least one match.", "items": { "type": "string" }, "default": [] }, "previousChangelogRecords": { "title": "Previous changelog records", "type": "array", "description": "Previous dataset records from this Actor for repeat monitoring. Leave empty for a first-pass audit. If the changelog hash is unchanged, the result is diagnostic and does not charge the useful event.", "items": { "type": "object" }, "default": [] }, "maxEntries": { "title": "Max entries", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum changelog entries to return per page.", "default": 10 }, "requestTimeoutSecs": { "title": "Request timeout", "minimum": 5, "maximum": 60, "type": "integer", "description": "Maximum time in seconds to wait for each public page request.", "default": 20 } } }, "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 } } } } } } } } } } ```