india-corp-actions 0.1.0

Fetch Indian stock market corporate actions from NSE and BSE India. Free, no API keys required.

india-corp-actions

Fetch Indian stock market corporate actions (dividends, splits, bonus issues, rights, AGMs, buybacks, mergers) directly from NSE and BSE India.

🆓 100% free — no API keys, no paid services required.

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Install

pip install requests pandas beautifulsoup4
# (until published to PyPI, install locally:)
pip install -e .

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Quick Start

from india_corp_actions import IndiaCorpActions

client = IndiaCorpActions()

# All upcoming corporate actions (NSE, next 3 months)
df = client.get_actions_df()
print(df)

# Filter by stock symbol
df = client.get_actions_df(symbol="RELIANCE")

# Get only dividends
df = client.get_dividends()

# Get splits, bonus, rights, buybacks
df = client.get_splits()
df = client.get_bonus()
df = client.get_rights()
df = client.get_buybacks()

# Custom date range (DD-MM-YYYY for NSE)
df = client.get_actions_df(from_date="01-01-2025", to_date="31-03-2025")

# Use BSE as source
df = client.get_actions_df(source="BSE")

# Combine NSE + BSE
df = client.get_actions_df(source="both")

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All Methods

Method	Description
get_actions_df(...)	All corporate actions → DataFrame
get_actions(...)	Same but returns List[CorporateAction]
get_dividends()	Upcoming dividends
get_bonus()	Upcoming bonus issues
get_splits()	Upcoming stock splits
get_rights()	Upcoming rights issues
get_buybacks()	Upcoming buybacks
get_upcoming_results()	Quarterly result dates (NSE)
get_board_meetings()	Board meeting schedule (NSE)
get_announcements(symbol)	Latest announcements (NSE)

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Parameters

client.get_actions_df(
    symbol="TCS",           # Optional: filter by NSE symbol
    from_date="01-01-2025", # DD-MM-YYYY — defaults to today
    to_date="31-03-2025",   # DD-MM-YYYY — defaults to 3 months ahead
    action_type="dividend", # Optional: dividend/bonus/split/rights/agm/buyback/merger/demerger/other
    source="NSE",           # "NSE" (default), "BSE", or "both"
)

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DataFrame Columns

Column	Description
symbol	Stock symbol
company_name	Full company name
action_type	Classified type (dividend, bonus, split, ...)
ex_date	Ex-date ⭐ (most important for trading)
record_date	Record date
details	Raw description from exchange
series	EQ / BE / etc.
face_value	Face value of share
bc_start_date	Book closure start
bc_end_date	Book closure end
source	NSE or BSE

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How it works

• NSE: Wraps the official nseindia.com JSON API endpoints. A session is established by warming cookies via the homepage first (required by NSE's anti-bot setup).
• BSE: Wraps the api.bseindia.com endpoints.
• No scraping of HTML, no paid APIs, no rate-limited public APIs.

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Run Tests

pip install pytest
pytest tests/

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License

MIT