klse-screener-py 2.0.0

Malaysian (KLSE/Bursa) stock data scraper - fundamentals, trading data, news, announcements

klse-screener-py

Malaysian (KLSE/Bursa Malaysia) stock data scraper. Fetch fundamentals, trading data, news, and announcements from KLSE Screener.

Features

• 17 data functions covering fundamentals, trading data, news, and announcements
• Rate-limited HTTP client (2-second intervals, respectful scraping)
• Market detection for KLSE tickers (*.KL format)
• No caching - host application controls caching strategy
• Dict-only responses - lightweight, no Pydantic dependency
• Sync-only - use with asyncio.to_thread() or executor for async

Installation

pip install klse-screener-py

Or from source:

pip install git+ssh://hwaseong@192.168.67.7:4222/volume1/git-repos/klse-screener-py

Quick Start

from klse_screener import (
    get_klse_fundamentals,
    get_klse_news,
    get_klse_trade_summary,
    get_klse_comments,
)

# Get fundamentals
data = get_klse_fundamentals("5132.KL")
print(f"P/E: {data.get('pe_ratio')}")
print(f"Dividend Yield: {data.get('dividend_yield')}")

# Get news
news = get_klse_news("5132.KL", limit=10)
print(news)

# Get order book depth
summary = get_klse_trade_summary("5132.KL")
print(f"Bid Volume: {summary.get('total_bid_volume'):,}")
print(f"Ask Volume: {summary.get('total_ask_volume'):,}")

API Reference

Fundamentals

Function	Description	Returns
get_klse_fundamentals(ticker)	P/E, EPS, DY, NTA, P/B, ROE, RSI	Dict[str, Any]
get_klse_enhanced_fundamentals(ticker)	+ debt ratios, stochastic, volume	Dict[str, Any]
get_klse_annual(ticker, limit=3)	Annual revenue, profit, EPS	str
get_klse_quarterly_history(ticker, limit=20)	Multi-quarter history	str
get_klse_dividends(ticker, limit=5)	Dividend history with dates	str
get_klse_capital_changes(ticker, limit=5)	Splits, bonus issues	str

Trading Data

Function	Description	Returns
get_klse_intraday_stats(ticker)	High/Low/Open/Volume, Bid/Ask	Dict[str, Any]
get_klse_trade_summary(ticker)	Order book depth (15-min delayed)	Dict[str, Any]
get_klse_trade_details(ticker, limit=50)	Time-stamped trades	List[Dict]
get_klse_warrants(ticker, limit=5)	Warrant prices, volumes	str

Sentiment & News

Function	Description	Returns
get_klse_news(ticker, limit=10)	Stock-specific news	str
get_klse_announcements(ticker, limit=10)	Bursa Malaysia announcements	str
get_klse_comments(ticker, limit=30)	Forum discussions	List[Dict]
get_klse_shareholding_changes(ticker, limit=20)	Institutional transactions	str

Market Data

Function	Description	Returns
get_klse_market_sentiment()	Market overview	str
get_klse_full_report(ticker)	All data consolidated	Dict[str, Any]

Formatted Wrappers

Function	Description	Returns
get_klse_comments_formatted(ticker, limit=30)	Sentiment analysis + samples	str
get_klse_trade_details_formatted(ticker, limit=50)	Volume breakdown	str
get_klse_trade_summary_formatted(ticker)	Bid/ask pressure	str

Usage Examples

Async Usage

import asyncio
from klse_screener import get_klse_fundamentals

async def get_data():
    # Run sync function in thread pool
    data = await asyncio.to_thread(get_klse_fundamentals, "5132.KL")
    return data

asyncio.run(get_data())

Batch Processing

from concurrent.futures import ThreadPoolExecutor
from klse_screener import get_klse_fundamentals

stocks = ["5132.KL", "7152.KL", "9172.KL"]

with ThreadPoolExecutor(max_workers=5) as executor:
    results = list(executor.map(get_klse_fundamentals, stocks))

for stock, data in zip(stocks, results):
    print(f"{stock}: P/E={data.get('pe_ratio')}")

Error Handling

from klse_screener import get_klse_fundamentals

data = get_klse_fundamentals("5132.KL")
if "error" in data:
    print(f"Error: {data['error']}")
else:
    print(f"Success: {data}")

Rate Limiting

• 2-second interval between requests (enforced globally)
• 10 requests/minute maximum
• Automatic backoff on errors

Ticker Format

KLSE tickers use the format {code}.KL:

• 5132.KL - Deleum Berhad
• 7152.KL - Yinson Holdings
• 9172.KL - FPI Corporation

Non-KLSE tickers return empty results (no-op).

Limitations

• 15-minute delayed trading data (per Bursa Malaysia regulations)
• Market sentiment function has limited data (KLSE Screener removed some widgets)
• HTML parsing - may break if KLSE Screener changes layout

License

MIT License - see LICENSE file.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run tests: pytest tests/
5. Submit a pull request

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest tests/ -v

# Run linting
ruff check src/ tests/

Changelog

0.1.0 (2026-04-21)

• Initial release
• 17 data functions extracted from FinGenius
• Rate-limited HTTP client
• Market detection utility