# Investegate RNS Aggregator — UK LSE/AIM Announcement Metadata (`nexgendata/investegate-rns-aggregator`) Actor Aggregate UK Regulatory News Service (RNS) announcements for LSE and AIM-listed companies from Investegate. Structured metadata — headlines, categories, timestamps and links — for market monitoring. - **URL**: https://apify.com/nexgendata/investegate-rns-aggregator.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 announcements 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 ## Investegate RNS Aggregator — UK LSE/AIM Announcement Metadata **Real-time UK regulatory news (RNS) metadata for LSE and AIM-listed companies, sourced via the Investegate aggregator.** > **Metadata only.** This actor returns title, ticker, company name, announcement date, RNS category, listing-page summary line, and source URL. It does **not** scrape or store the full announcement body. To read the full text, follow the `source_url` to investegate.co.uk or the official RNS source. Keywords: **UK RNS API**, **LSE announcements**, **AIM regulatory news**, **RNS aggregator**, **Investegate API**, **London Stock Exchange RNS feed**, **UK regulatory news service scraper**. --- ### 📊 Sample Output [![Investegate UK RNS aggregator — LSE & AIM regulatory announcements with ticker, date, headline, source URL. Hedge fund analyst feed, equity research, M&A intelligence, AIM small-cap tracking.](https://api.apify.com/v2/key-value-stores/8gLgXMBveEI1tTz1z/records/investegate-rns-aggregator-output.png)](https://apify.com/nexgendata/investegate-rns-aggregator) ### What it does The UK's Regulatory News Service (RNS) is the official channel for regulatory and price-sensitive announcements from LSE and AIM-listed companies — covering results, trading updates, director dealings, holdings notifications, M&A activity, and more. Investegate aggregates the RNS feed (plus EQS and PRN regulatory wires) into a clean public landing page. This actor scrapes that public landing page (and category pages) for **structured metadata**: - `rns_id`, `company_name`, `ticker` - `announcement_date`, `announcement_time` - `title`, `rns_category` - `summary` (first 200 chars of the listing-page headline) - `source_url` (back to investegate.co.uk for the full announcement) Output is a clean, normalised JSON dataset — ready to load into a watchlist alerting system, an analyst workflow, or a research database. ### Buyer use cases - **Equity research monitoring** — track new results, trading updates, and director dealings across your covered universe. - **M&A signal detection** — flag holdings notifications, prospectus publications, and offer-related announcements as they hit the wire. - **IR / governance tracking** — monitor share buyback activity, AGM statements, and director shareholding changes for peer companies. - **Financial journalism** — get a structured feed of UK regulatory disclosures filterable by ticker, category, and date. ### Input | Field | Type | Description | | --- | --- | --- | | `tickers` | array of strings | LSE/AIM tickers to filter on (e.g. `["SGE", "LLOY"]`). Empty = all tickers. | | `category` | string (enum) | One of: Annual Financial Report, Interim Results, Trading Update, Director Dealings, Significant Shareholding, AGM Statement, Other. Empty = all. | | `dateFrom` | string `YYYY-MM-DD` | Start date. Empty = last 7 days. | | `dateTo` | string `YYYY-MM-DD` | End date. Empty = today (UTC). | | `maxResults` | integer | Hard cap. Defaults to 25. Max 1000. | ### Output schema Each dataset item: ```json { "rns_id": "9590746", "company_name": "Sage Group", "ticker": "SGE", "isin": null, "exchange": null, "announcement_date": "2026-05-28", "announcement_time": "18:25", "title": "Transaction in Own Shares", "rns_category": "Transaction in Own Shares", "summary": "Transaction in Own Shares", "source_code": "RNS", "source_url": "https://www.investegate.co.uk/announcement/rns/sage-group--sge/transaction-in-own-shares/9590746", "scraped_at": "2026-05-28T12:00:00Z" } ```` `isin` and `exchange` are intentionally returned as `null` from listing-only scrapes — they live on per-announcement detail pages whose body content this actor does not extract. Pair this actor with your own ISIN reference table keyed on `ticker` if you need ISIN enrichment. ### Sample Output (Sample dataset rows produced by a recent test run — see Apify console for live JSON.) ### Compliance - **Polite User-Agent** identifying NexGenData and a contact URL. - **2 requests/second** soft rate limit between page fetches. - **robots.txt** is fetched and checked at runtime before any scraping; if the requested feed path is disallowed, the actor aborts gracefully. - **Metadata only.** No announcement body text. No emails, phone numbers, or personal addresses. No defamatory framing. ### Source attribution Data is aggregated from publicly available Investegate.co.uk pages. RNS is the news service of the London Stock Exchange. Always cross-check against the official source for trading decisions. ### Related Actors — Regulatory & IP Intelligence Cluster **Securities & Markets Enforcement:** - [SEC Litigation Releases](https://apify.com/nexgendata/sec-litigation-releases) - [CFTC Enforcement Actions](https://apify.com/nexgendata/cftc-enforcement-actions) - [FTC Consumer Protection Cases](https://apify.com/nexgendata/ftc-consumer-protection-cases) - [FINRA BrokerCheck Search](https://apify.com/nexgendata/finra-brokercheck-search) - [Australia ASIC Enforcement](https://apify.com/nexgendata/australia-asic-enforcement) - [UK FCA Enforcement Tracker](https://apify.com/nexgendata/uk-fca-enforcement-tracker) **Corporate Disclosure & Announcements:** - [SEC EDGAR 8-K Filings](https://apify.com/nexgendata/sec-edgar-8k-filings) - [SEC Form D Funding](https://apify.com/nexgendata/sec-form-d-tracker) - [SEC Event Router](https://apify.com/nexgendata/sec-event-router) - [ASX Company Announcements](https://apify.com/nexgendata/asx-company-announcements) - [SGX Company Announcements](https://apify.com/nexgendata/sgx-company-announcements) - [HKEX News Announcements](https://apify.com/nexgendata/hkex-news-announcements) - [Korea KIND Disclosures](https://apify.com/nexgendata/korea-kind-disclosures) - [PSE Edge Disclosures](https://apify.com/nexgendata/pse-edge-disclosures) - [Investegate RNS Aggregator](https://apify.com/nexgendata/investegate-rns-aggregator) ← **you are here** - [PR Newswire](https://apify.com/nexgendata/pr-newswire-press-releases-scraper) - [AP News](https://apify.com/nexgendata/ap-news-scraper) **IP Intelligence:** - [USPTO Patent Grants Tracker](https://apify.com/nexgendata/uspto-patent-grants-tracker) - [WIPO PATENTSCOPE](https://apify.com/nexgendata/wipo-patentscope-search) - [EUIPO Trademarks](https://apify.com/nexgendata/euipo-esearch-trademarks) # Actor input Schema ## `tickers` (type: `array`): LSE/AIM tickers to filter on (e.g. SGE, LLOY, BARC). Leave empty to return all tickers in the date window. ## `category` (type: `string`): Filter announcements by RNS category. Leave blank for all categories. ## `dateFrom` (type: `string`): ISO date YYYY-MM-DD. Empty defaults to the last 7 days. ## `dateTo` (type: `string`): ISO date YYYY-MM-DD. Empty defaults to today (UTC). ## `maxResults` (type: `integer`): Hard cap on the number of announcement metadata rows returned. ## Actor input object example ```json { "tickers": [], "maxResults": 25 } ``` # 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 = { "tickers": [], "category": "", "dateFrom": "", "dateTo": "", "maxResults": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/investegate-rns-aggregator").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 = { "tickers": [], "category": "", "dateFrom": "", "dateTo": "", "maxResults": 25, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/investegate-rns-aggregator").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 '{ "tickers": [], "category": "", "dateFrom": "", "dateTo": "", "maxResults": 25 }' | apify call nexgendata/investegate-rns-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/investegate-rns-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Investegate RNS Aggregator — UK LSE/AIM Announcement Metadata", "description": "Aggregate UK Regulatory News Service (RNS) announcements for LSE and AIM-listed companies from Investegate. Structured metadata — headlines, categories, timestamps and links — for market monitoring.", "version": "0.0", "x-build-id": "8hCNyRVrDXXGwfg0a" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~investegate-rns-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-investegate-rns-aggregator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~investegate-rns-aggregator/runs": { "post": { "operationId": "runs-sync-nexgendata-investegate-rns-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~investegate-rns-aggregator/run-sync": { "post": { "operationId": "run-sync-nexgendata-investegate-rns-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "tickers": { "title": "Tickers (optional filter)", "type": "array", "description": "LSE/AIM tickers to filter on (e.g. SGE, LLOY, BARC). Leave empty to return all tickers in the date window.", "items": { "type": "string" } }, "category": { "title": "RNS Category (optional)", "enum": [ "", "Annual Financial Report", "Interim Results", "Trading Update", "Director Dealings", "Significant Shareholding", "AGM Statement", "Other" ], "type": "string", "description": "Filter announcements by RNS category. Leave blank for all categories." }, "dateFrom": { "title": "From Date", "type": "string", "description": "ISO date YYYY-MM-DD. Empty defaults to the last 7 days." }, "dateTo": { "title": "To Date", "type": "string", "description": "ISO date YYYY-MM-DD. Empty defaults to today (UTC)." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Hard cap on the number of announcement metadata rows returned." } } }, "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 } } } } } } } } } } ```