Hong Kong Listed Companies Dataset (Wikidata, CC0)

A clean, ready-to-export list of companies listed on the Stock Exchange of Hong Kong, built from open-licensed data you can reuse commercially. Every field states where it came from. Missing values stay null and are never guessed.

About 1,770 companies. About 1,590 of them have a listing date, ranging from 1954 to 2026. Each record has:

• 5-digit stock code and .HK ticker;
• English and Chinese names;
• listing date and founding date;
• industry, in English plus a Chinese label;
• official website and Wikidata ID;
• a GEM flag, derived from the 08001–08999 code range.

Why this dataset

• Licence-clean. Wikidata is CC0, so you can use it in products, spreadsheets, apps and AI pipelines without permission. The few curated fields quoted from Wikipedia are marked CC BY-SA 4.0, with the exact revision URL in provenance.
• Provenance on every field: source, url, license, retrieved and note.
• Live or snapshot. By default each run makes one polite SPARQL query to Wikidata, so you get the community's latest edits. If Wikidata is slow or down, the run falls back to a bundled snapshot. Choose snapshot for an instant run.

Input

• Mode:
  • list: filter by since / until (YYYY, YYYY-MM or YYYY-MM-DD), industry (English or Chinese substring), board (gem) and hasFields, then sort newest or oldest.
  • codes: look up stockCodes such as 700, 0700, 00700 or 0700.HK. Codes that are not found are listed in the OUTPUT record and are not charged.
  • search: name fragment (English or Chinese) or code.
• maxItems caps the results and the cost. includeProvenance (default on) adds provenance and attribution.

{"mode": "list", "since": "2010-01-01", "industry": "retail", "maxItems": 200}

Output example

{"stockCode": "00700", "ticker": "0700.HK", "nameEn": "Tencent", "nameZh": "騰訊", "listingDate": "2004-06-16", "status": "listed",
 "board": null, "inception": "1998-11-12", "industry": "video game industry", "industryZh": "电子游戏产业", "website": "https://www.tencent.com/",
 "wikidataId": "Q860580", "wikidataUrl": "https://www.wikidata.org/wiki/Q860580", "pageUrl": "https://hk-ipo-calc.pages.dev/en/ipo/00700/",
 "offering": null, "provenance": {"listingDate": {"source": "Wikidata", "license": "CC0 1.0", "...": "..."}}, "attribution": [{"license": "CC0 1.0", "...": "..."}]}

Views: Overview and Sources & licences. Export as JSON, CSV, Excel or XML, or call the run from the Apify API or MCP.

Pricing

Pay per result: $0.50 per 1,000 companies (one company = one dataset item), plus Apify's standard Actor start event ($0.00005 per run). The full dataset of about 1,590 companies with listing dates costs about $0.80. Use maxItems or the run's maximum-cost setting to cap spend.

What this is not

• Not IPO terms. Offer price, board lot, oversubscription, allotment results and sponsors are only present where a citable open source exists (currently a single company). HKEX and HKEXnews content may not be scraped or redistributed without HKEX's written permission, and this Actor does neither. To compute fees from terms you have, use the companion Actor HK IPO Fee & Allotment Calculator.
• Wikidata is community-maintained. Listing dates can be a day off, or can refer to a transfer of listing or a listing by introduction. Coverage of companies listed after 2021 is still sparse. Corrections made on Wikidata show up in the next live run.
• Not investment advice. Not affiliated with Hong Kong Exchanges and Clearing Limited.

Questions or bugs: use the Issues tab, or email ztz1024666@gmail.com.