# 🇮🇳 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:** 4 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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 <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/2iDCfv2hnAjCm00Ao/builds/PLa8MWtD17s2DLtRN/openapi.json