# AI Webpage Summarizer — Extract & Summarize Any URL (`xanthic_smock/webpage-summarizer`) Actor Extract clean content from any webpage and get AI-powered summaries, key takeaways, and sentiment analysis. One URL in, structured insights out. - **URL**: https://apify.com/xanthic\_smock/webpage-summarizer.md - **Developed by:** [Chirag](https://apify.com/xanthic_smock) (community) - **Categories:** Marketing, Developer tools, SEO tools - **Stats:** 2 total users, 1 monthly users, 0.0% 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 ## AI Webpage Summarizer — Extract & Summarize Any URL One URL in, structured insights out. Fetches any webpage, extracts clean readable content, and optionally uses AI to generate summaries, key takeaways, and sentiment analysis. ### Features - **Clean Content Extraction** — Strips ads, nav, sidebars; returns only the article text - **AI Summarization** (optional) — Uses GPT-4o-mini to generate intelligent summaries - **Key Takeaways** — 5 bullet-point takeaways from the content - **Sentiment Analysis** — Detects tone (positive/negative/neutral/mixed) with confidence score - **Topic Extraction** — Auto-identifies 3-5 main topics/tags - **Reading Stats** — Word count and estimated reading time ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `url` | string | Yes | The webpage URL to extract and summarize | | `openaiApiKey` | string | No | Your OpenAI API key. Without it, you get clean text extraction + stats (no AI features) | | `summaryLength` | select | No | `short`, `medium` (default), or `long` | ### Output ```json { "url": "https://example.com/article", "domain": "example.com", "title": "Article Title", "textPreview": "First 500 chars of extracted text...", "fullText": "Complete extracted article text...", "wordCount": 1250, "readingTime": "5 min read", "summary": "AI-generated summary (if API key provided)...", "keyTakeaways": ["Takeaway 1", "Takeaway 2", "..."], "sentiment": "positive", "sentimentConfidence": 85, "sentimentExplanation": "The article expresses clear optimism about...", "topics": ["artificial-intelligence", "web-scraping", "automation"], "aiProcessed": true } ```` ### Pricing **FREE** while in beta. Will switch to pay-per-event ($0.10/summary) once established. ### Use Cases - Content research — quickly grasp any article - Competitor analysis — summarize competitor blog posts at scale - News monitoring — extract key points from multiple sources - Content curation — get takeaways for newsletters - SEO research — analyze top-ranking content ### Requirements - No API key needed for basic extraction - OpenAI API key required for AI summarization features ### Example Input: `https://blog.apify.com/web-scraping-guide/` Output includes: clean article text, 200-word AI summary, 5 key takeaways, positive sentiment (85%), topics: \[web-scraping, data-extraction, automation] # Actor input Schema ## `url` (type: `string`): The URL of the webpage to extract and summarize. ## `openaiApiKey` (type: `string`): Your OpenAI API key for AI summarization. Without it, you still get clean text extraction and basic stats. Get one at https://platform.openai.com/api-keys ## `summaryLength` (type: `string`): How detailed should the AI summary be? ## Actor input object example ```json { "url": "https://example.com/article", "summaryLength": "medium" } ``` # 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 = { "url": "https://example.com/article" }; // Run the Actor and wait for it to finish const run = await client.actor("xanthic_smock/webpage-summarizer").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 = { "url": "https://example.com/article" } # Run the Actor and wait for it to finish run = client.actor("xanthic_smock/webpage-summarizer").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 '{ "url": "https://example.com/article" }' | apify call xanthic_smock/webpage-summarizer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xanthic_smock/webpage-summarizer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Webpage Summarizer — Extract & Summarize Any URL", "description": "Extract clean content from any webpage and get AI-powered summaries, key takeaways, and sentiment analysis. One URL in, structured insights out.", "version": "0.0", "x-build-id": "fd7yW0KMLcVR3gpcC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xanthic_smock~webpage-summarizer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xanthic_smock-webpage-summarizer", "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/xanthic_smock~webpage-summarizer/runs": { "post": { "operationId": "runs-sync-xanthic_smock-webpage-summarizer", "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/xanthic_smock~webpage-summarizer/run-sync": { "post": { "operationId": "run-sync-xanthic_smock-webpage-summarizer", "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": [ "url" ], "properties": { "url": { "title": "Webpage URL", "type": "string", "description": "The URL of the webpage to extract and summarize." }, "openaiApiKey": { "title": "OpenAI API Key (optional)", "type": "string", "description": "Your OpenAI API key for AI summarization. Without it, you still get clean text extraction and basic stats. Get one at https://platform.openai.com/api-keys" }, "summaryLength": { "title": "Summary Length", "enum": [ "short", "medium", "long" ], "type": "string", "description": "How detailed should the AI summary be?", "default": "medium" } } }, "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 } } } } } } } } } } ```