# AI Change Monitor — What Changed & Does It Matter (`jakedata/ai-change-monitor`) Actor Watch any list of URLs. Get structured diffs (added/removed lines), noise-filtered, with optional AI significance summaries. Webhook-ready. No PII collected. - **URL**: https://apify.com/jakedata/ai-change-monitor.md - **Developed by:** [Jake Mac](https://apify.com/jakedata) (community) - **Categories:** AI, Developer tools, Automation - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 page checks 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## AI Change Monitor — What Changed & Does It Matter Watch any list of URLs and get **structured, noise-filtered diffs** every run — with optional **AI significance summaries** that tell you in plain English what changed and whether it matters. Built for people who watch pages that matter: competitor pricing, terms of service, regulator announcements, tender boards, documentation, job posts. ### Why this one 1. **Noise-filtered by default.** Timestamps, view counters, cookie banners and other churn are ignored — you get alerted on substance, not clutter. 2. **AI summaries, your key, your control.** Turn on `aiSummary` and supply your own Anthropic API key: each change gets a one-sentence summary + significance rating (low/medium/high). Your key is used per-run and never stored. 3. **Webhook-ready.** POST every change record to Slack relays, n8n, Make, Zapier or your own endpoint. 4. **Respectful by design.** `respectRobotsTxt` (on by default) skips pages that disallow generic crawlers. **No personal data is collected — ever.** Output is page text diffs only. 5. **Schedule it.** Pair with Apify Schedules for hourly/daily watching. ### How it works ```` YOU CONFIGURE EACH SCHEDULED RUN YOU RECEIVE ───────────────────── ────────────────────── ──────────────────────── urls: \[ ... ] ──► fetch each page ──► one JSON record per URL cssSelector (optional) strip boilerplate/noise • no\_change compare to last snapshot • changed + exactly what - aiSummary (your key) text was added / removed - webhookUrl ──► optional AI summary ──► • + AI summary & low/med/ optional webhook POST high significance • baseline\_captured ```` Pair with **Apify Schedules** to run it on any cadence; route `changed` records to Slack, n8n, or your own endpoint via `webhookUrl`. ### Output record ```json { "url": "https://example.com/pricing", "status": "changed", "added": ["Pro plan now $29/mo"], "removed": ["Pro plan $19/mo"], "ai": { "summary": "Pro plan price increased from $19 to $29 per month.", "significance": "high", "reason": "Pricing change directly affects purchasing decisions." }, "previousSnapshotAt": "2026-07-18T06:00:12.000Z", "checkedAt": "2026-07-19T06:00:09.000Z" } ```` First run per URL captures a baseline (`baseline_captured`); changes are reported from the second run onward. ### Pricing Pay-per-event: a small fee per page check, plus a small fee per AI summary generated. No subscription, no minimum. *** Maintained with automated daily canary checks. AI-powered tooling, human-supervised reliability. Support: jakeatthekeyboard@gmail.com # Actor input Schema ## `urls` (type: `array`): Pages to watch. Each run compares against the previous run's snapshot and reports changes. ## `cssSelector` (type: `string`): Watch only the part of each page matching this selector. Default: main page text. ## `ignorePatterns` (type: `array`): Regex patterns for lines to ignore (timestamps, view counters, ads). Sensible defaults are always applied. ## `respectRobotsTxt` (type: `boolean`): Skip URLs disallowed for generic crawlers by the site's robots.txt. ## `aiSummary` (type: `boolean`): Summarize each detected change and rate its significance (low/medium/high) using an LLM. Requires your own Anthropic API key below — you control that spend. ## `anthropicApiKey` (type: `string`): Your own key, used only when 'AI significance summary' is on. Never stored. ## `webhookUrl` (type: `string`): POST each change record to this URL as JSON. ## Actor input object example ```json { "urls": [ "https://example.com" ], "respectRobotsTxt": true, "aiSummary": false } ``` # 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" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jakedata/ai-change-monitor").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"] } # Run the Actor and wait for it to finish run = client.actor("jakedata/ai-change-monitor").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" ] }' | apify call jakedata/ai-change-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jakedata/ai-change-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Change Monitor — What Changed & Does It Matter", "description": "Watch any list of URLs. Get structured diffs (added/removed lines), noise-filtered, with optional AI significance summaries. Webhook-ready. No PII collected.", "version": "0.1", "x-build-id": "F1lTAYifM4NHkadjs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jakedata~ai-change-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jakedata-ai-change-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jakedata~ai-change-monitor/runs": { "post": { "operationId": "runs-sync-jakedata-ai-change-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jakedata~ai-change-monitor/run-sync": { "post": { "operationId": "run-sync-jakedata-ai-change-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 to monitor", "type": "array", "description": "Pages to watch. Each run compares against the previous run's snapshot and reports changes.", "items": { "type": "string" } }, "cssSelector": { "title": "CSS selector (optional)", "type": "string", "description": "Watch only the part of each page matching this selector. Default: main page text." }, "ignorePatterns": { "title": "Ignore patterns (noise filter)", "type": "array", "description": "Regex patterns for lines to ignore (timestamps, view counters, ads). Sensible defaults are always applied.", "items": { "type": "string" } }, "respectRobotsTxt": { "title": "Respect robots.txt", "type": "boolean", "description": "Skip URLs disallowed for generic crawlers by the site's robots.txt.", "default": true }, "aiSummary": { "title": "AI significance summary", "type": "boolean", "description": "Summarize each detected change and rate its significance (low/medium/high) using an LLM. Requires your own Anthropic API key below — you control that spend.", "default": false }, "anthropicApiKey": { "title": "Anthropic API key (only for AI summaries)", "type": "string", "description": "Your own key, used only when 'AI significance summary' is on. Never stored." }, "webhookUrl": { "title": "Webhook URL (optional)", "type": "string", "description": "POST each change record to this URL as JSON." } } }, "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 } } } } } } } } } } ```