Apify Apac Company Financial Data

APAC Company & Financial Data

Extract and monitor public APAC company, exchange, and financial-disclosure data — Korea, Japan, Taiwan, China, Hong Kong, Singapore, India, and wider Southeast Asia — using NexGenData's Apify Actors. Every result links back to its official source (exchange, registry, or regulator). This is factual public data for research; it is not financial, legal, or investment advice and contains no trading signals.

Rules for every apify command (CI-enforced in awesome-skills):

1. --user-agent apify-awesome-skills/apify-apac-company-financial-data (telemetry attribution)
2. --json (machine-readable output; use --format json for datasets get-items)
3. 2>/dev/null (suppress progress messages that break JSON parsers)

Prerequisites

• Apify CLI v1.5.0+ (npm install -g apify-cli)
• Authenticated: apify login, or export APIFY_TOKEN=... (get a token)
• A few Actors need a user-supplied source API key (Korea OpenDART, Japan EDINET). See references/gotchas.md before running those.

Workflow

Step 1 — Pick the Actor

Identify the country + data type (registry / disclosures / insider filings / stock screen / IPO / enforcement) from the user's goal and choose the Actor from references/actor-index.md. Most tasks map to one country-specific Actor; for "any Asian IPO in the next month" use the pan-APAC apac-ipo-calendar-sweep. If the index has no match, search the Store:

apify actors search "KEYWORDS" --user-agent apify-awesome-skills/apify-apac-company-financial-data --json --limit 10 2>/dev/null

Step 2 — Fetch the exact input schema (don't guess)

Field names differ by country (e.g. ticker_filter vs tickers vs stockCode vs stockCodes); always confirm before running:

apify actors info "nexgendata/SLUG" --user-agent apify-awesome-skills/apify-apac-company-financial-data --input --json 2>/dev/null

Read references/gotchas.md for cost guardrails, locale/encoding notes, date-window defaults, and which Actors need a source API key.

Step 3 — Run

Keep result caps modest first (these are pay-per-row Actors). Typical call:

apify actors call "nexgendata/japan-tdnet-timely-disclosures" --input '{"date_from":"2026-06-01","date_to":"2026-06-13","ticker_filter":"7203","max_disclosures":25}' --user-agent apify-awesome-skills/apify-apac-company-financial-data --json 2>/dev/null

From output: .defaultDatasetId, .status, .id. For long-running pulls, start async and poll:

apify actors start "nexgendata/SLUG" --input '{...}' --user-agent apify-awesome-skills/apify-apac-company-financial-data --json 2>/dev/null
apify runs info RUN_ID --user-agent apify-awesome-skills/apify-apac-company-financial-data --json 2>/dev/null   # poll until .status == SUCCEEDED

Step 4 — Fetch results & deliver

apify datasets get-items DATASET_ID --user-agent apify-awesome-skills/apify-apac-company-financial-data --format json 2>/dev/null

Report: row count, the key fields, and each row's source_url (every record links to the official exchange/registry/regulator). Many APAC sources return native-language fields (한국어, 日本語, 中文) — preserve them and add an English gloss. Save large pulls with the Write tool as YYYY-MM-DD_descriptive-name.csv/.json. For multi-step asks (e.g., "screen KOSPI, then pull each name's disclosures"), chain Actors and suggest the next step.

Quick map (full list in references/actor-index.md)

Compliance

All data is public company, exchange, and regulatory data, retrieved from official APAC sources (exchanges, company registries, and financial regulators). Present it as facts with source links. Never frame output as financial/investment/legal advice, a recommendation, or a trading signal. Not affiliated with any exchange, registry, or regulator.