🇯🇵 TSE Japan Stock Screener — Nikkei 225 Quotes & Fundamentals

Real-time-ish prices, market cap, P/E, dividend yield, sector, and fundamentals for every major Japanese equity — Toyota (7203), Sony (6758), Mitsubishi UFJ (8306), SoftBank Group (9984), Keyence (6861), Fast Retailing (9983), and 600+ more across the Tokyo Stock Exchange.

If you're tracking Japanese markets for a global macro fund, building a screener for an Asia-focused PMS, running a quant strategy on the Nikkei 225, or stress-testing a portfolio against the second-largest equity market in Asia — this actor gives you a clean, structured feed without Bloomberg Terminal pricing ($24,000/year), Refinitiv (LSEG) data subscriptions, or hand-rolled scrapers that keep breaking when stockanalysis.com tweaks its HTML.

What this actor returns

For every stock, you get a flat JSON record with the fields you actually need to run analysis:

• Identifiers: symbol (4-digit TSE code, e.g. 7203 for Toyota), name, ticker_yahoo (the .T suffix form for Yahoo Finance interop), is_nikkei225 boolean flag
• Price & action: price_jpy, pct_change, previous_close_jpy, open_jpy, day_low_jpy, day_high_jpy, volume, avg_volume
• Valuation: market_cap_jpy, market_cap_billion_jpy, market_cap_display (human-readable like 37.97T), pe_ratio, forward_pe, pb_ratio, eps_jpy
• Income & shareholder returns: revenue_ttm_jpy, net_income_jpy, dividend_jpy, dividend_yield_pct, ex_dividend_date, shares_outstanding
• Range & technicals: week52_low_jpy, week52_high_jpy, beta, rsi, earnings_date
• Classification: sector, industry (e.g. "Auto Manufacturers", "Banks", "Semiconductors")
• Metadata: exchange ("TSE"), country ("Japan"), currency ("JPY"), stockanalysis_url, yahoo_finance_url, scraped_at (ISO timestamp)

Push results directly to BigQuery, Snowflake, Postgres, Google Sheets, or a Slack channel using Apify's native integrations — or just download the JSON / CSV / Excel dataset from the Apify dashboard.

Why Japan, why now

The Tokyo Stock Exchange is the third-largest equity market in the world by market capitalization (behind NYSE and Nasdaq) and the largest in Asia after surpassing Shanghai and Hong Kong on a free-float basis. The Nikkei 225 broke its 1989 all-time high in February 2024 — ending the longest secular bear market in modern financial history — and Japanese mega-caps like Sony, Tokyo Electron (8035), Recruit Holdings (6098), and Keyence have become structural growth stories for global allocators.

But high-quality Japanese equity data is still locked behind:

• Bloomberg Terminal — roughly $2,000 per user per month, useless for programmatic ingestion without expensive BPIPE add-ons
• Refinitiv / LSEG Workspace — enterprise contracts, six-figure minimums
• JPX official data — Japanese-language site, fragmented across PDFs and zip files, no clean JSON API
• Yahoo Finance Japan — exists but rate-limits aggressively from non-Japanese IPs

This actor solves the access problem. It scrapes server-rendered HTML from stockanalysis.com/list/tokyo-stock-exchange/ (which mirrors TSE data plus computed fundamentals), runs through Apify proxies to dodge geo-rate-limits, and structures everything into one cohesive JSON schema you can plumb into a real workflow.

Input parameters

• index — NIKKEI (Nikkei 225 constituents only), TOPIX (large/mid-cap TSE Prime), or TSE-all (every name on stockanalysis.com's TSE list, ~600+ stocks). Default: NIKKEI.
• limit — Max stocks to return. Default: 50. Set to 225 for full Nikkei, 500+ for broad TSE coverage.
• min_market_cap_jpy_billion — Filter to stocks above this market cap (in billions JPY). 1,000 ≈ 1 trillion JPY ≈ large-cap. 10,000 ≈ 10 trillion JPY ≈ mega-cap.
• sector — Substring filter on sector/industry/name. Examples: "auto" (Toyota, Honda, Nissan), "bank", "semiconductor", "pharma", "retail".
• enrich_fundamentals — true to fetch P/E, dividend yield, sector, 52-week range, etc. from each stock's detail page. Roughly doubles runtime. Required if you want to filter by sector.
• proxyConfiguration — Standard Apify proxy. Defaults to datacenter (works fine); switch to residential if you hit rate limits.

Use cases

1. Macro overlay dashboard — pull the top 50 Nikkei constituents nightly, push to a Google Sheet, feed a daily dashboard that tracks JPY-hedged vs unhedged Japan exposure. Pair with the Eastmoney China Stock Screener and KOSPI Stock Screener for full North Asia coverage.
2. Sector rotation signals — enable enrich_fundamentals, filter sector="bank", track Japanese mega-bank earnings cycle (8306 / 8316 / 8411). Compare to HKEX Hang Seng Stock Screener Chinese-mainland-listed-in-HK banks for cross-strait financials read-through.
3. Quant factor research — pull TSE-all with full fundamentals, compute size / value / momentum factors, backtest a Japan-only long-short portfolio. The structured JSON output drops cleanly into pandas / polars / kdb.
4. Corporate intelligence — track competitor market cap moves (e.g. Toyota vs Honda vs Nissan), monitor activist target candidates (low P/B, high net cash), watch index reshuffle candidates.
5. Buy-side research automation — feed your idea-generation pipeline. Combine with the TWSE Taiwan Stock Screener for full APAC-ex-China semiconductor supply chain coverage (Tokyo Electron, Advantest, TSMC, ASE Technology in one view).

Pricing

This actor uses pay-per-event billing — no platform-credit time burn, no overage anxiety:

• $0.01 when the actor starts (one-time)
• $0.25 per stock record returned

A typical 50-stock Nikkei run costs $12.51. A full 225-stock Nikkei run costs $56.26. A 500-stock broad TSE sweep with full fundamentals costs $125.01. Way cheaper than a Bloomberg seat, and you actually own the data.

How the data flows

stockanalysis.com/list/tokyo-stock-exchange/   (server-rendered HTML, ~500 stocks/page)
        │
        ▼
   Listing parser  ─►  symbol, name, price, market cap, % change, revenue TTM
        │
        ▼
   (optional) Per-stock /quote/tyo/{sym}/   ─►  P/E, EPS, dividend yield,
                                                shares out, 52-week range, sector
        │
        ▼
   Index / sector / market-cap filters
        │
        ▼
   Apify dataset  ─►  JSON / CSV / Excel / API / webhook

The Nikkei 225 constituency flag is maintained as a curated list of the most prominent and liquid index members inside the actor. It covers all the names institutional users will actually search for (Toyota, Sony, SoftBank Group, Mitsubishi UFJ, Keyence, Fast Retailing, Recruit Holdings, Tokyo Electron, Shin-Etsu Chemical, Daiichi Sankyo, etc.). For research-grade index replication, you should still cross-reference the official JPX-Nikkei index methodology PDF.

Reliability notes

• Data freshness: stockanalysis.com refreshes during TSE trading hours (09:00–15:00 JST). Outside trading hours you'll get the previous session's close.
• Geo / rate limits: Apify proxy handles this. If you run hundreds of full-TSE sweeps per day, switch to residential proxy via the proxyConfiguration input.
• Schema stability: stockanalysis.com is more stable than JPX or Yahoo Japan, but if their HTML changes the parser may need a small patch. This actor is maintained.
• Holiday handling: Japanese markets observe ~16 public holidays per year (more than the US). On holidays you'll get static prior-session data.

About NexGenData

NexGenData operates 100+ Apify actors covering equity markets, alternative data, corporate intelligence, and developer tooling. Our APAC equity fleet is built on the same hedge-fund-grade pattern — clean schemas, reliable data sources, predictable pricing, no surprise rate limits.

Explore the full fleet and unlock institutional-grade alt-data at consumer pricing: apify.com/nexgendata

(Affiliate link — you pay the same, NexGenData gets a small revenue share that funds keeping the actors maintained.)

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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

• 🔗 KOSPI Stock Screener (Korea) — KOSPI + KOSDAQ live quotes, market cap (KRW), P/E, ROE, foreign-ownership %, sector — from Naver Finance.
• 🔗 TWSE Stock Screener (Taiwan) — TWSE + TPEx fundamentals, market cap (TWD), P/E, dividend yield, sector — TSMC, MediaTek, Hon Hai universe.
• 🔗 HKEX Hang Seng Stock Screener — Hang Seng + HSCEI live quotes, market cap (HKD), P/E, dividend yield, sector — Tencent, HSBC, AIA universe.

Cross-region peers

• 🔗 LSE UK Stock Screener — London Stock Exchange (FTSE 100 / 250) fundamentals, market cap (GBP), P/E, dividend yield, sector — UK equity data.
• 🔗 ASX Australia Stock Screener — ASX 200 / All Ordinaries fundamentals, market cap (AUD), P/E, dividend yield, sector — Australian equity data.

Multi-asset / specialty

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

Browse the full NexGenData catalog

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

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Why NexGenData vs. paid alternatives

Tool	Annual cost	API access	Coverage
Bloomberg Terminal	~$24,000/seat	Limited	Global
FactSet	~$15,000/seat	Paid add-on	Global
Refinitiv Eikon	~$22,000/seat	Paid add-on	Global
S&P Capital IQ	~$20,000/seat	Paid add-on	Global
NexGenData Japan Screener	Pay-per-result	Native	Japan

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

🌏 Related: Asia & APAC Stock Screeners

Part of the NexGenData global equity coverage cluster — 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

• 🇨🇳 Eastmoney China A-Shares Screener — Shanghai/Shenzhen mainboards
• 🇨🇳 Shanghai STAR Market Screener — 上海科创板 · sci-tech innovation
• 🇨🇳 Shenzhen ChiNext Screener — 深圳创业板 · growth board
• 🇨🇳 Beijing Stock Exchange Screener — 北京证券交易所 · innovation SMEs
• 🇭🇰 HKEX Hang Seng Screener — Hong Kong · 香港恒生指數

Northeast Asia

• 🇹🇼 Taiwan TWSE Screener — 台灣證交所
• 🇰🇷 KOSPI Stock Screener — South Korea · Korean market cap
• 🇯🇵 TSE Japan Stock Screener — Nikkei 225 (you are here)

Southeast Asia (ASEAN)

• 🇸🇬 SGX Singapore Stock Screener — STI · Straits Times Index
• 🇻🇳 HOSE Vietnam Stock Screener — VN30
• 🇮🇩 IDX Indonesia Stock Screener — LQ45
• 🇹🇭 SET Thailand Stock Screener — SET50
• 🇲🇾 Bursa Malaysia Stock Screener — KLCI
• 🇵🇭 PSE Philippines Stock Screener — PSEi

Oceania & Middle East

• 🇦🇺 ASX Australia Stock Screener — ASX 200
• 🇸🇦 Tadawul Saudi Stock Screener — TASI

💡 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.