# 🇮🇳 NSE/BSE India Company Announcements Scraper (`nexgendata/nse-bse-announcements`) Actor Live corporate announcements & regulatory filings from India's NSE — dividends, results, board meetings, allotments — with PDF attachment URLs. Watch mode for new-filing alerts. - **URL**: https://apify.com/nexgendata/nse-bse-announcements.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 announcement records 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 ## NSE/BSE India Company Announcements Scraper 🇮🇳 Live **corporate announcements and regulatory filings from India's National Stock Exchange (NSE)** — dividends, quarterly results, board meetings, allotments, credit-rating updates, and more — each with the original **attachment (PDF) URL** and a stable record id. Built for analysts, fintech products, and AI agents that need structured Indian-market disclosures without scraping a JavaScript site. > Not investment advice. Public disclosure data, provided as-is for information purposes. ### 📊 What you get One record per announcement, with these fields: - `announcement_id` — stable NSE sequence id (dedup key) - `symbol` — NSE ticker (e.g. `RELIANCE`) - `company_name`, `isin`, `industry` - `announcement_date`, `announcement_time` (IST) - `subject` — the NSE category (e.g. "Board Meeting", "Financial Results", "Dividend") - `headline` — the filing's descriptive text - `has_xbrl` — whether a structured XBRL filing is attached - `attachment_size`, `attachment_url` — the original PDF on nsearchives.nseindia.com - `source_url`, `exchange`, `scraped_at` **~20 announcements per $1.** A typical 50-record run costs about **$2.50**. ### 💵 Pricing Pay-per-result, no subscription: | Event | Price | |---|---| | Actor start | $0.005 (per GB RAM, min 1) | | **Announcement record** | **$0.05 each** | | Watch-check (per scheduled watch run) | $0.05 | **Worked example:** a market-wide pull of 50 announcements = 1 start ($0.005) + 50 records ($2.50) ≈ **$2.51**. A daily watch run that finds 3 new filings = $0.05 watch-check + 3 × $0.05 = **$0.20**. ### ⏰ Watch mode — new-filing alerts Turn on **`watchMode`** and put the actor on a schedule. The first run seeds a baseline and emits nothing; every later run emits **only new filings** since the last run (keyed on symbol + date + subject-hash). Perfect for a standing "new NSE filings for my watchlist" feed into Slack, a sheet, or an agent. ```json { "symbols": ["RELIANCE", "TCS", "INFY"], "watchMode": true, "watchLabel": "my-watchlist" } ```` ### 🤖 Use with AI agents Returns clean JSON, so an agent can call it directly. Example agent task: *"Pull today's board-meeting announcements for my Nifty-50 watchlist and summarize any dividend declarations."* Works with MCP tool-calling and agentic (x402) payment flows — no API key required. #### API ```bash curl -X POST "https://api.apify.com/v2/acts/nse-bse-announcements/runs?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"symbols":["RELIANCE"],"maxResults":25}' ``` #### CLI ```bash apify call nse-bse-announcements --input '{"category":"dividend","maxResults":100}' ``` ### 🔗 Related NexGenData actors - **asx-company-announcements** — the same disclosure feed for the Australian Securities Exchange (APAC sibling). - **mca-company-registry** — India company master data (CIN, directors, capital, status). - **india-startup-funding-tracker** — India startup funding rounds. - **india-trademark-search** — Indian trademark records (via WIPO). - **gem-tenders-india** — Indian government tenders. ### ❓ FAQ **Where does the data come from?** NSE's public corporate-announcements feed (the backend behind nseindia.com's Corporate Filings page). **How fresh is it?** Real-time — announcements appear within minutes of NSE publishing them. **Does a blocked source bill me?** No. If NSE is unreachable the run fails loud and charges nothing — you never pay for an empty "success". **Can I get only market-sensitive filings?** Use the `category` keyword filter (e.g. "results", "dividend", "board meeting") or your own `symbols` watchlist. *** Data sourced from public NSE disclosures. This actor is not affiliated with or endorsed by NSE, BSE, or SEBI. Not investment advice. # Actor input Schema ## `symbols` (type: `array`): Filter to specific NSE ticker symbols (e.g. RELIANCE, TCS, INFY). Leave empty for the full market-wide announcement feed. ## `category` (type: `string`): Case-insensitive substring matched against the announcement subject + headline (e.g. 'dividend', 'board meeting', 'results'). ## `index` (type: `string`): NSE announcement segment. ## `maxResults` (type: `integer`): Maximum announcement records to return (1-500). ## `watchMode` (type: `boolean`): When on, the first run seeds a baseline and emits nothing; later runs emit only NEW filings since the last run (composite key: symbol + date + subject-hash). Ideal on a schedule. ## `watchLabel` (type: `string`): Names the watch baseline so multiple saved tasks keep independent state. ## Actor input object example ```json { "symbols": [ "RELIANCE", "TCS" ], "index": "equities", "maxResults": 50, "watchMode": false, "watchLabel": "default" } ``` # 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 = { "symbols": [ "RELIANCE", "TCS" ], "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/nse-bse-announcements").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 = { "symbols": [ "RELIANCE", "TCS", ], "maxResults": 50, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/nse-bse-announcements").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 '{ "symbols": [ "RELIANCE", "TCS" ], "maxResults": 50 }' | apify call nexgendata/nse-bse-announcements --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/nse-bse-announcements", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🇮🇳 NSE/BSE India Company Announcements Scraper", "description": "Live corporate announcements & regulatory filings from India's NSE — dividends, results, board meetings, allotments — with PDF attachment URLs. Watch mode for new-filing alerts.", "version": "0.0", "x-build-id": "PLa8MWtD17s2DLtRN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~nse-bse-announcements/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-nse-bse-announcements", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~nse-bse-announcements/runs": { "post": { "operationId": "runs-sync-nexgendata-nse-bse-announcements", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~nse-bse-announcements/run-sync": { "post": { "operationId": "run-sync-nexgendata-nse-bse-announcements", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "symbols": { "title": "NSE symbols (optional)", "type": "array", "description": "Filter to specific NSE ticker symbols (e.g. RELIANCE, TCS, INFY). Leave empty for the full market-wide announcement feed.", "items": { "type": "string" } }, "category": { "title": "Category / keyword filter (optional)", "type": "string", "description": "Case-insensitive substring matched against the announcement subject + headline (e.g. 'dividend', 'board meeting', 'results')." }, "index": { "title": "Segment", "enum": [ "equities", "sme", "debt", "mf", "invitsreits" ], "type": "string", "description": "NSE announcement segment.", "default": "equities" }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum announcement records to return (1-500).", "default": 50 }, "watchMode": { "title": "Watch mode (new filings only)", "type": "boolean", "description": "When on, the first run seeds a baseline and emits nothing; later runs emit only NEW filings since the last run (composite key: symbol + date + subject-hash). Ideal on a schedule.", "default": false }, "watchLabel": { "title": "Watch label", "type": "string", "description": "Names the watch baseline so multiple saved tasks keep independent state.", "default": "default" } } }, "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 } } } } } } } } } } ```