# AWS What's New Scraper - Product Announcements & Launches (`scrapeworks/aws-whats-new`) Actor Scrape AWS What's New as clean JSON: every AWS product announcement, feature launch, and regional expansion - with headline, URL, publish date, service categories, and full text. Bulk-search the 20,000+ announcement archive by keyword. - **URL**: https://apify.com/scrapeworks/aws-whats-new.md - **Developed by:** [Nicolas van Arkens](https://apify.com/scrapeworks) (community) - **Categories:** Developer tools, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 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 ## AWS What's New Scraper - Product Announcements & Launches Scrape **AWS What's New** - every Amazon Web Services product announcement, feature launch, and regional expansion - as clean, structured JSON. This actor reads the public feed behind [aws.amazon.com/about-aws/whats-new](https://aws.amazon.com/about-aws/whats-new/) (**no login, no API key**) and returns headline, canonical URL, publish date, service categories, a short summary, and the full announcement text. Give it a **list of search queries** (e.g. `bedrock`, `lambda`, `s3`) and it searches each one, paginates the full **20,000+ announcement archive**, merges and de-duplicates the results. Leave the query list empty to pull the latest announcements across all of AWS. ### What you get (output fields) | Field | Description | |---|---| | `id` | Stable announcement id (e.g. `launch-4sci4vbcw9jrgasxc68k6e`). | | `headline` | The announcement title. | | `url` | Canonical link to the full announcement on aws.amazon.com. | | `postDateTime` | Publish timestamp (ISO 8601, UTC). | | `dateCreated` / `dateUpdated` | When AWS first created / last edited the entry. | | `categories` | Service / topic tags (e.g. `compute`, `analytics`) when present. | | `summary` | First ~300 characters of the announcement body. | | `bodyText` | Full announcement text, HTML stripped (optional - on by default). | | `bodyHtml` | Original HTML body (optional - off by default). | | `matchedQuery` | Which of your queries surfaced this row (`null` for the latest-feed pass). | | `directoryId` | Source feed id (`whats-new-v2`). | ### Input | Field | Type | Default | Description | |---|---|---|---| | `queries` | array of strings | `[]` | Keywords to search. Empty = latest feed across all AWS. | | `maxResultsPerQuery` | integer | `100` | Max announcements per query (paginates automatically; up to 5000). | | `sortOrder` | `desc` / `asc` | `desc` | Newest first or oldest first, by publish date. | | `dateFrom` | string | - | Only announcements published on/after this ISO date (YYYY-MM-DD). | | `dateTo` | string | - | Only announcements published on/before this ISO date. | | `locale` | string | `en_US` | Content locale (e.g. `ja_JP`, `de_DE`, `fr_FR`). | | `includeBodyText` | boolean | `true` | Include the full plain-text body. | | `includeBodyHtml` | boolean | `false` | Also include the raw HTML body. | #### Example input ```json { "queries": ["bedrock", "lambda"], "maxResultsPerQuery": 25, "sortOrder": "desc", "includeBodyText": true, "includeBodyHtml": false } ```` #### Example output (one row) ```json { "id": "launch-4sci4vbcw9jrgasxc68k6e", "headline": "OpenAI GPT-5.4 and GPT-5.5 models now available in US East (N. Virginia) on Amazon Bedrock", "url": "https://aws.amazon.com/about-aws/whats-new/2026/06/openai-gpt-us-east-virginia-amazon/", "postDateTime": "2026-06-11T00:12:00Z", "dateCreated": "2026-06-11T00:13:22+0000", "dateUpdated": "2026-06-11T01:17:23+0000", "categories": [], "summary": "Today, AWS announces the expanded availability of OpenAI's GPT-5.4 and GPT-5.5 models, which are now available in the US East (N. Virginia) Region on Amazon Bedrock...", "matchedQuery": "bedrock", "directoryId": "whats-new-v2", "bodyText": "Today, AWS announces the expanded availability of OpenAI's GPT-5.4 and GPT-5.5 models..." } ``` ### Use cases - **Competitive & market intelligence** - track when AWS ships features in a space you care about (AI/ML, databases, security) and build a dated timeline. - **Cloud consultancies & DevRel** - monitor launches by service or keyword to brief clients, write newsletters, or trigger internal alerts. - **Region / availability tracking** - watch for "now available in " announcements to plan migrations and data-residency decisions. - **Research datasets** - pull the full historical archive (20k+ rows) for trend analysis on AWS's release cadence by topic and date. ### FAQ **Where does the data come from?** The public AWS What's New JSON feed (the same endpoint the AWS website uses). No credentials are needed. **How many results can I get?** The archive holds 20,000+ announcements. Set `maxResultsPerQuery` as high as you need (up to 5000 per query) and the actor paginates for you. **How do I get the whole archive instead of a keyword search?** Leave `queries` empty and raise `maxResultsPerQuery`; optionally set `dateFrom` to bound the window. **Why are some `categories` empty?** AWS doesn't tag every announcement. The field is best-effort and populated whenever the feed provides tags. **How is it billed?** Pay per result - you're charged once per announcement returned. # Actor input Schema ## `queries` (type: `array`): List of keywords or phrases to search AWS What's New (e.g. \["bedrock", "lambda", "s3 express"]). Each query is searched separately and the results are merged and de-duplicated. Leave this empty to pull the latest announcements across all of AWS. ## `maxResultsPerQuery` (type: `integer`): Maximum number of announcements to return for each query. The scraper paginates the archive automatically (the full archive holds 20,000+ announcements), so set this as high as you need. ## `sortOrder` (type: `string`): Return newest announcements first, or oldest first. ## `dateFrom` (type: `string`): Optional ISO date (YYYY-MM-DD). Only return announcements published on or after this date. ## `dateTo` (type: `string`): Optional ISO date (YYYY-MM-DD). Only return announcements published on or before this date. ## `locale` (type: `string`): Content locale to fetch (default en\_US). Other examples: ja\_JP, de\_DE, fr\_FR, es\_ES, ko\_KR. ## `includeBodyText` (type: `boolean`): Include the full announcement body as clean plain text (HTML stripped). Turn this off for a lighter dataset that only keeps the headline and metadata. ## `includeBodyHtml` (type: `boolean`): Also include the original HTML of the announcement body. Off by default; most users only need the plain text. ## Actor input object example ```json { "queries": [ "bedrock", "lambda" ], "maxResultsPerQuery": 100, "sortOrder": "desc", "locale": "en_US", "includeBodyText": true, "includeBodyHtml": 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 = { "queries": [ "bedrock", "lambda" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapeworks/aws-whats-new").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 = { "queries": [ "bedrock", "lambda", ] } # Run the Actor and wait for it to finish run = client.actor("scrapeworks/aws-whats-new").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 '{ "queries": [ "bedrock", "lambda" ] }' | apify call scrapeworks/aws-whats-new --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapeworks/aws-whats-new", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AWS What's New Scraper - Product Announcements & Launches", "description": "Scrape AWS What's New as clean JSON: every AWS product announcement, feature launch, and regional expansion - with headline, URL, publish date, service categories, and full text. Bulk-search the 20,000+ announcement archive by keyword.", "version": "0.1", "x-build-id": "UGuWux6We2v6Pvz97" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapeworks~aws-whats-new/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapeworks-aws-whats-new", "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/scrapeworks~aws-whats-new/runs": { "post": { "operationId": "runs-sync-scrapeworks-aws-whats-new", "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/scrapeworks~aws-whats-new/run-sync": { "post": { "operationId": "run-sync-scrapeworks-aws-whats-new", "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": { "queries": { "title": "Search queries", "type": "array", "description": "List of keywords or phrases to search AWS What's New (e.g. [\"bedrock\", \"lambda\", \"s3 express\"]). Each query is searched separately and the results are merged and de-duplicated. Leave this empty to pull the latest announcements across all of AWS.", "items": { "type": "string" } }, "maxResultsPerQuery": { "title": "Max results per query", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of announcements to return for each query. The scraper paginates the archive automatically (the full archive holds 20,000+ announcements), so set this as high as you need.", "default": 100 }, "sortOrder": { "title": "Sort order (by publish date)", "enum": [ "desc", "asc" ], "type": "string", "description": "Return newest announcements first, or oldest first.", "default": "desc" }, "dateFrom": { "title": "Published on or after", "type": "string", "description": "Optional ISO date (YYYY-MM-DD). Only return announcements published on or after this date." }, "dateTo": { "title": "Published on or before", "type": "string", "description": "Optional ISO date (YYYY-MM-DD). Only return announcements published on or before this date." }, "locale": { "title": "Locale", "type": "string", "description": "Content locale to fetch (default en_US). Other examples: ja_JP, de_DE, fr_FR, es_ES, ko_KR.", "default": "en_US" }, "includeBodyText": { "title": "Include full announcement text", "type": "boolean", "description": "Include the full announcement body as clean plain text (HTML stripped). Turn this off for a lighter dataset that only keeps the headline and metadata.", "default": true }, "includeBodyHtml": { "title": "Include raw HTML body", "type": "boolean", "description": "Also include the original HTML of the announcement body. Off by default; most users only need the plain text.", "default": false } } }, "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 } } } } } } } } } } ```