๐Ÿ‡ญ๐Ÿ‡ฐ HKEX Hang Seng Screener ยท ๆธฏไบคๆ‰€ๆ’็”ŸๆŒ‡ๆ•ธ้ธ่‚ก avatar

๐Ÿ‡ญ๐Ÿ‡ฐ HKEX Hang Seng Screener ยท ๆธฏไบคๆ‰€ๆ’็”ŸๆŒ‡ๆ•ธ้ธ่‚ก

Pricing

from $250.00 / 1,000 hkex stock records

Go to Apify Store
๐Ÿ‡ญ๐Ÿ‡ฐ HKEX Hang Seng Screener ยท ๆธฏไบคๆ‰€ๆ’็”ŸๆŒ‡ๆ•ธ้ธ่‚ก

๐Ÿ‡ญ๐Ÿ‡ฐ HKEX Hang Seng Screener ยท ๆธฏไบคๆ‰€ๆ’็”ŸๆŒ‡ๆ•ธ้ธ่‚ก

HKEX Hang Seng stock screener API โ€” Hang Seng + HSCEI live quotes, market cap (HKD), P/E, P/B, dividend yield, ROE, sector. Tencent, HSBC, AIA, Alibaba, Meituan universe. Bloomberg Terminal / FactSet / Refinitiv Eikon alternative for hedge funds, quants, family offices. Pay-per-result.

Pricing

from $250.00 / 1,000 hkex stock records

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NexGenData

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๐Ÿ‡ญ๐Ÿ‡ฐ HKEX Hang Seng Stock Screener โ€” HK Quotes & Fundamentals

Track every stock on the Hong Kong Stock Exchange (HKEX) and the Hang Seng Index (HSI) โ€” with prices in HKD, market cap, P/E, P/B, dividend yield, sector, and the full fundamental stack. The Bloomberg Terminal alternative for HK equities, priced for indie quants, Asia-focused hedge funds, and family offices that don't want to write a check to Refinitiv.

Hong Kong remains one of the most strategically important financial markets in the world. It is the bridge into mainland Chinese tech via the dual-primary listings of Tencent (0700), Alibaba (9988), JD.com (9618), Meituan (3690), Xiaomi (1810), and Baidu (9888); it is the home of the four big Chinese state banks (1398, 1288, 0939, 3988); and the Hang Seng Index itself remains the single most-watched gauge of risk appetite into Greater China. Yet for indie analysts and emerging-market hedge funds, getting clean HK equity data is surprisingly painful. Yahoo Finance throttles .HK symbols aggressively. HKEX's own data portal is JS-heavy and only ships PDFs and Excel files. AAStocks is fine for one-off lookups but isn't built for batch screening. And Bloomberg Terminal will charge you USD $24,000/year minimum for the same data this actor surfaces in seconds.

This actor closes that gap. It returns a clean, sorted, JSON-native screener over the full HKEX top-500 by market cap, with an optional fundamental enrichment layer (PE, dividend yield, beta, 52-week range, sector). Filter by HSI (Hang Seng Index constituents only โ€” the ~85 blue-chip names) or HKEX-all (entire main-board top-500), then narrow further by sector keyword and minimum market cap in HKD.

๐ŸŽฏ What you get per stock

Every record returned includes:

FieldDescription
symbol4-digit HKEX ticker (e.g. 0700 for Tencent, 0005 for HSBC)
yahoo_symbolYahoo Finance-formatted ticker (e.g. 0700.HK) for downstream tooling
nameCompany name in English (Tencent Holdings Limited)
exchangeAlways HKEX
price_hkdCurrent price in Hong Kong dollars
pct_changeToday's % change (signed)
market_cap_hkdMarket capitalization in HKD (base units, not abbreviated)
revenue_ttm_hkdTrailing twelve-month revenue in HKD
rank_by_mcapRank among HKEX top-500 by market cap
in_hsiBoolean โ€” true if the stock is in the Hang Seng Index
hsi_sub_indexHSI sub-index classification (Finance, Commerce & Industry, Properties, Utilities) when applicable
stockanalysis_urlDirect link to the stock's detail page
hkex_urlDirect link to HKEX's own quote page
aastocks_urlDirect link to AAStocks' detail page
scraped_atUTC timestamp of the scrape

With enrich_fundamentals=true you additionally get:

FieldDescription
pe_ratioTrailing twelve-month Price/Earnings ratio
forward_peForward 12-month Price/Earnings ratio
dividend_per_share_hkdAnnual dividend per share in HKD
dividend_yield_pctAnnual dividend yield as a %
ex_dividend_dateNext ex-dividend date
epsEarnings per share (trailing)
shares_outstandingTotal listed shares
volumeMost-recent session volume
avg_volumeTrailing-average daily volume
open_hkd, previous_close_hkdLatest session open / previous close
day_rangeDay's intraday lowโ€“high range
week_52_range52-week lowโ€“high range
beta5-year beta vs HSI
rsiRelative Strength Index (14-day)
earnings_dateNext expected earnings release date
sectorSector classification
industryIndustry classification
net_income_hkdTrailing net income in HKD

๐Ÿš€ Quick start

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/hkex-hang-seng-stock-screener").call(run_input={
"market": "HSI",
"limit": 50,
"enrich_fundamentals": True
})
for stock in client.dataset(run["defaultDatasetId"]).iterate_items():
print(f"{stock['symbol']:<6} {stock['name']:<35} "
f"HK${stock['price_hkd']:>10,.2f} "
f"P/E {stock.get('pe_ratio', '--'):>6} "
f"Yield {stock.get('dividend_yield_pct', '--'):>5}% "
f"MCap HK${stock['market_cap_hkd']/1e9:>8,.1f}B")

Sample output:

0700 Tencent Holdings Limited HK$ 465.20 P/E 17.54 Yield 1.12% MCap HK$ 4,250.0B
0005 HSBC Holdings plc HK$ 139.60 P/E 7.30 Yield 5.40% MCap HK$ 2,410.0B
9988 Alibaba Group Holding Limited HK$ 134.60 P/E 14.10 Yield 1.20% MCap HK$ 2,500.0B
1398 Industrial and Commercial Bank HK$ 6.90 P/E 4.95 Yield 6.85% MCap HK$ 2,920.0B

๐ŸŒ cURL

curl -X POST "https://api.apify.com/v2/acts/nexgendata~hkex-hang-seng-stock-screener/run-sync-get-dataset-items?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"market":"HSI","limit":85,"enrich_fundamentals":true}'

๐Ÿ“Š Real-world use cases

  • Asia hedge-fund daily refresh โ€” schedule the actor for the post-close HK time (16:00 HKT = 08:00 UTC) and pipe the dataset into your warehouse alongside Eastmoney, KOSPI, and TWSE screens for a complete pan-Asia data layer.
  • HSI-vs-CSI300 relative-value screens โ€” pair this actor with the Eastmoney Chinese A-Share Screener to track dual-listed H-share / A-share spreads (Tencent doesn't have A-shares, but most of the big banks and insurers do โ€” and the H/A discount is one of the most-traded signals in the region).
  • High-dividend Asia ETF construction โ€” filter to dividend_yield_pct >= 5 to find HSBC, ICBC, Bank of China, CCB, China Mobile, and the rest of HK's classic yield names; rebalance quarterly with the screener as your data feed.
  • Cross-border Greater China factor models โ€” pull HSI plus the TWSE Stock Screener and KOSPI Stock Screener to build factor models on the full Greater-China-plus-Korea universe.
  • Chinese tech basket monitoring โ€” track Tencent, Alibaba, JD, Meituan, Xiaomi, Baidu, Kuaishou, NetEase, Bilibili, Trip.com, and Li Auto in one screen via the HKEX listing channel.
  • Risk-off regime detection โ€” monitor HSI subindex weighting shifts; when Finance + Properties as a % of HSI market cap drops below trend, that's classic Greater-China derisking.
  • Family-office portfolio analytics โ€” drop this dataset into Snowflake/BigQuery and build position-level P/E, dividend yield, and beta dashboards across your HK equity book.
  • Academic research โ€” Hong Kong is a heavily-studied market in finance research (cross-listing premiums, Stock Connect flows, foreign-ownership dynamics). This actor gives reproducible market snapshots without scraping headaches.
  • Macro dashboards โ€” combine HSI movers with FX (HKD/CNH, USD/HKD peg dynamics) for a complete Greater China dashboard.

โš™๏ธ Input parameters

ParamTypeDefaultNotes
marketenumHSIHSI (~85 index constituents) or HKEX-all (top-500)
limitint50Max stocks returned (1โ€“500), sorted by market cap descending
min_market_cap_hkdint0Filter: only stocks โ‰ฅ this market cap, in HKD base units
sectorstring""Substring filter on sector / industry / HSI sub-index / name
enrich_fundamentalsboolfalseHit each detail page for PE / dividend yield / beta / sector (slower)
proxyConfigurationobjectresidentialApify proxy config

Examples

Just the top 10 HSI blue chips (fast smoke test, ~5s):

{ "market": "HSI", "limit": 10 }

Full HSI with fundamentals (~85 stocks, ~60s):

{ "market": "HSI", "limit": 85, "enrich_fundamentals": true }

Hong Kong banks (yield play โ€” filter on sector keyword):

{ "market": "HKEX-all", "limit": 200, "sector": "bank", "enrich_fundamentals": true }

HK mega-caps only (โ‰ฅ HK$500 billion market cap):

{ "market": "HKEX-all", "limit": 50, "min_market_cap_hkd": 500000000000 }

HK property developers (Sun Hung Kai, CK Asset, Henderson, etc.):

{ "market": "HKEX-all", "limit": 200, "sector": "real estate", "enrich_fundamentals": true }

๐Ÿ’ฐ Pricing

This actor uses pay-per-event pricing โ€” you only pay for what you actually pull.

  • Actor start: $0.01 per run
  • Stock record: $0.25 per stock returned

A full HSI snapshot (~85 names) with fundamentals costs about $21.25. A 50-stock blue-chip screen costs $12.51. Compare to:

  • Bloomberg Terminal โ€” $24,000/year minimum, plus per-seat fees
  • Refinitiv (LSEG) Eikon โ€” $22,000+/year
  • FactSet โ€” $12,000+/year per user
  • S&P Capital IQ โ€” $13,000+/year per user

If you're a hedge-fund analyst running HK screens once a day, this actor pays back the entire annual data-vendor budget on day one. The pricing reflects the institutional buyer pool โ€” this isn't a toy retail tool; it's a Bloomberg replacement for funds that don't have Bloomberg seats for their Asia analysts.

๐Ÿค” FAQ

Q: Is the data real-time? The source (stockanalysis.com) lags the live HKEX tape by 15โ€“20 minutes during market hours (HKT 09:30โ€“16:00). After-hours, it shows the closing snapshot. This is identical to the delay you'd get on Yahoo Finance or Google Finance โ€” sufficient for end-of-day rebalancing, factor research, screening, and dashboards. For sub-second tick data you need a paid HKEX licensee.

Q: Why stockanalysis.com vs scraping HKEX directly? HKEX's own portal is heavily JavaScript-rendered and ships data through paginated XHR calls with anti-bot protections. Stockanalysis.com mirrors the full HKEX universe in clean server-rendered HTML โ€” which is dramatically more reliable to scrape from cloud IPs. We also link out to the HKEX page in every record so you can verify any data point against the source.

Q: What about southbound Stock Connect flows? Stock Connect daily flows are not in this dataset (HKEX publishes them via separate PDFs). If you need southbound flow data, file a feature request and we'll add a companion actor.

Q: Can I get historical data? This actor returns the current snapshot. For historical price series, pair it with the Yahoo Finance Scraper using the yahoo_symbol field (e.g. 0700.HK).

Q: How are HK ticker codes formatted? HKEX tickers are 4 or 5 digits, zero-padded. 0700 is Tencent, 0005 is HSBC, 1398 is ICBC, 9988 is Alibaba. We always emit them zero-padded to 4+ digits for consistency. The Yahoo Finance equivalent is {symbol}.HK.

Q: Is HSBC (0005) the same as the NYSE HSBC ADR? The HK 0005 listing and the NYSE HSBC ADR represent the same company but trade in separate venues with different prices, liquidities, and tax treatments. This actor returns the HK primary listing only.

Q: Can I use this commercially? The data is aggregated from public sources (stockanalysis.com aggregates from HKEX's own free public feeds). You own the output dataset. For redistribution as a paid product or syndication, consult HKEX's market-data terms and consider licensing direct from HKEX Information Services.

Q: Is this maintained? Yes โ€” NexGenData maintains 140+ Apify actors covering scraping, enrichment, MCP servers, and data automation. We ship fixes within 24 hours of bug reports. File issues via the Apify console's Issues tab on this actor's page.

Q: Why pay for this when I could scrape HKEX myself? You could! But you'd spend a weekend wrestling with stockanalysis.com's table HTML structure (which changes every few months), handling the Hang Seng Index constituent join (we pull it from Wikipedia), normalizing HKD market caps from abbreviated 4.25T โ†’ 4,250,000,000,000, parsing detail pages for PE/dividend/beta, setting up residential proxies for clean IP rotation, and writing the rate-limit retry logic. Or you can pay a fraction of a Bloomberg seat-fee and get clean JSON in 15 seconds.


Explore the NexGenData Equity Data Suite

This actor is part of NexGenData's global equity data fleet. Whether you cover a single region or a multi-asset macro book, we have a screener for every major market:

Regional sisters

  • ๐Ÿ”— Eastmoney China A-Share Screener โ€” Shanghai + Shenzhen + STAR + ChiNext full A-share universe โ€” the broadest Chinese equity screener.
  • ๐Ÿ”— STAR Market Screener (China) โ€” Shanghai STAR Market 50 fundamentals, market cap (RMB), P/E, P/B, sector โ€” China's NASDAQ-equivalent hard-tech board.
  • ๐Ÿ”— ChiNext Screener (China) โ€” Shenzhen ChiNext fundamentals, market cap (RMB), P/E, P/B, sector โ€” CATL, Mindray, East Money, Sungrow universe.

Cross-region peers

  • ๐Ÿ”— TWSE Stock Screener (Taiwan) โ€” TWSE + TPEx fundamentals, market cap (TWD), P/E, dividend yield, sector โ€” TSMC, MediaTek, Hon Hai universe.
  • ๐Ÿ”— SGX Singapore Stock Screener โ€” Singapore Exchange (STI) fundamentals, market cap (SGD), P/E, dividend yield, REIT yield, sector.

Multi-asset / specialty

  • ๐Ÿ”— Finance MCP Server โ€” Unified Model Context Protocol server exposing the full NexGenData equity fleet to Claude, Cursor & MCP-aware LLMs.

Browse the full NexGenData catalog

โ†’ See all 220+ NexGenData actors at apify.com/nexgendata โ€” equity screeners across 25+ markets, lead generation, SEC filings, B2B intelligence, MCP servers, and more.


Why NexGenData vs. paid alternatives

ToolAnnual costAPI accessCoverage
Bloomberg Terminal~$24,000/seatLimitedGlobal
FactSet~$15,000/seatPaid add-onGlobal
Refinitiv Eikon~$22,000/seatPaid add-onGlobal
S&P Capital IQ~$20,000/seatPaid add-onGlobal
NexGenData Hong Kong ScreenerPay-per-resultNativeHong Kong

Run this actor once per day for a typical institutional-scale workflow (~200 records/day) and your annual cost is approximately $1,800โ€“2,000 โ€” a 90-95% discount vs. the major paid alternatives, with no seat licensing, no minimum commitment, and full programmatic access.

๐Ÿš€ Apify affiliate program

New to Apify? Sign up with our referral link โ€” you get free platform credits on signup, and you help fund the maintenance of this actor fleet.


Built and maintained by NexGenData โ€” 140+ actors covering scraping, enrichment, MCP servers, and automation. Home: thenextgennexus.com.

Part of the NexGenData global equity coverage cluster โ€” 16 stock screeners across Asia, Oceania, and the Middle East with a consistent schema (ticker, name, price, market cap, PE, PB, % change) so you can join them downstream into a single dataset for cross-market screening, factor investing, and quant research.

Greater China & Hong Kong

  • ๐Ÿ‡จ๐Ÿ‡ณ Eastmoney China A-Shares Screener โ€” Shanghai/Shenzhen mainboards
  • ๐Ÿ‡จ๐Ÿ‡ณ Shanghai STAR Market Screener โ€” ไธŠๆตท็ง‘ๅˆ›ๆฟ ยท sci-tech innovation
  • ๐Ÿ‡จ๐Ÿ‡ณ Shenzhen ChiNext Screener โ€” ๆทฑๅœณๅˆ›ไธšๆฟ ยท growth board
  • ๐Ÿ‡จ๐Ÿ‡ณ Beijing Stock Exchange Screener โ€” ๅŒ—ไบฌ่ฏๅˆธไบคๆ˜“ๆ‰€ ยท innovation SMEs
  • ๐Ÿ‡ญ๐Ÿ‡ฐ HKEX Hang Seng Screener โ€” Hong Kong ยท ้ฆ™ๆธฏๆ’็”ŸๆŒ‡ๆ•ธ (you are here)

Northeast Asia

Southeast Asia (ASEAN)

Oceania & Middle East

๐Ÿ’ก Bundle tip: All 16 screeners share the same output schema. Run them on the same date and stack the datasets to build a complete APAC equity coverage snapshot for portfolio analytics, ETF construction, or regional momentum strategies.