KLSE / Bursa Malaysia Listed Company Scraper

Scrape the entire Bursa Malaysia (KLSE) listed-company universe. Returns the full Main / ACE / LEAP market roster with current prices and fundamentals, per-company deep financials, and the live company-announcement stream mirrored from Bursa LINK.

What you get

Roster snapshot — a single call returns ~1,139 rows covering every stock listed on Bursa Malaysia's three market boards:

Field	Description
stock_code	Bursa 4-digit code (e.g. 1155 = Maybank)
stock_name	Ticker short name
company_full_name	Full registered company name
market_board	MAIN / ACE / LEAP
sector	Bursa sector classification
last_price	Last traded price (MYR)
price_change / price_change_pct	Intraday movement
volume	Traded volume
market_cap_rm	Market capitalisation (MYR millions)
eps	Earnings per share (sen)
pe_ratio	Price/earnings ratio
dividend_yield_pct	Dividend yield (%)
roe_pct	Return on equity (%)
nta	Net tangible assets per share
week_52_high / week_52_low	52-week range

Company deep-dive — per-company financials for specific stock codes:

• Annual revenue and net profit history
• 52-week price range, ROE, EPS, NTA, market cap, shares outstanding
• Supply a list of stock codes or leave blank to derive from the roster

Announcement stream — the live Bursa company-announcement feed, paginated:

• Announcement title, category, company name, datetime
• Categories: Financial Results, General Announcement, Changes in Corporate Info, etc.
• Filter by category or scrape all

Modes

Mode	Input	Description
roster_snapshot	—	Full ~1,139-company roster with fundamentals
company_deep	stockCodes	Per-company financials for supplied codes
announcements	announcementCategories	Live announcement stream (paginated)

Why KLSE Screener (not Bursa Malaysia official)

The official bursamalaysia.com site is bot-challenged on every market-data path (verified 403 + "Just a moment" interstitial). KLSE Screener mirrors the same Bursa data without that protection. The roster endpoint returns all listed companies in a single AJAX call (~2.9 MB) with complete fundamentals — no page-by-page pagination required.

Input

{
    "mode": "roster_snapshot",
    "maxItems": 200,
    "stockCodes": ["1155", "1023"],
    "sectors": [],
    "announcementCategories": [],
    "sp_intended_usage": "Building a screener for MY retail investors",
    "sp_improvement_suggestions": ""
}

Parameters

Parameter	Default	Description
mode	roster_snapshot	Which data to scrape
maxItems	200	Maximum records to return
stockCodes	[]	For company_deep mode: Bursa 4-digit codes. Empty = use roster
sectors	[]	For roster_snapshot: filter by sector name. Empty = all sectors
announcementCategories	[]	For announcements: filter by category. Empty = all

Resuming a large crawl

Every run emits a resumeCursor in its Output. If a large crawl stops before it finishes — because it hit maxItems, your spend cap (maxTotalChargeUsd), or was aborted — start a new run with the same input plus that resumeCursor to continue from where it left off. The crawl resumes from the queued work the previous run didn't reach.

• You are not re-charged for records the earlier run already delivered.
• Resume within your account's run-retention window — on the free tier, roughly your 10 most recent runs. Once the source run is pruned, its resumeCursor is no longer valid.
• resumeCursor is opaque — supply it unmodified.

Output sample (roster_snapshot)

{
    "record_type": "company",
    "stock_code": "1155",
    "stock_name": "MAYBANK",
    "company_full_name": "MALAYAN BANKING BERHAD",
    "market_board": "MAIN",
    "sector": "Banking",
    "sub_sector": "Financial Services",
    "last_price": 11.1,
    "price_change": 0.04,
    "price_change_pct": 0.36,
    "volume": 12340000,
    "market_cap_rm": 134300,
    "eps": 86.93,
    "pe_ratio": 12.77,
    "dividend_yield_pct": 5.68,
    "roe_pct": 11.24,
    "nta": 7.73,
    "week_52_high": 12.42,
    "week_52_low": 9.39,
    "source_url": "https://www.klsescreener.com/v2/screener/quote_results",
    "scraped_at": "2026-05-17T00:37:00.000Z"
}

Use cases

• Quant screeners: Pull the entire ~1,139-company universe with P/E, DY, ROE, EPS in one run — filter for value/dividend/growth criteria
• Retail investor tools: Power a portfolio tracker or stock discovery app for the Malaysian market
• Research desks: Monitor the Bursa announcement feed for material information, substantial-shareholding changes, and quarterly results
• Data pipelines: Feed an automated screener or alerting system — run on a schedule, compare snapshots to detect price movement or new announcements

Pricing

Per-result pricing via Apify PPE. The roster snapshot fetches all ~1,139 companies in a single network call, making it exceptionally cost-efficient for full-universe pulls.

Notes

• No API key required
• Self-throttle applies (~1 req/2s for detail pages) to respect the site's AdSense-funded free model
• Data is sourced from KLSE Screener which mirrors Bursa Malaysia's official listing; prices may lag real-time by minutes