Japan EDINET Insider Filings — インサイダー取引 API
Pricing
from $100.00 / 1,000 edinet filings
Track Japan EDINET insider and large-shareholder filings. Clean JSON for analysts, quants and AI agents.
You can access the Japan EDINET Insider Filings — インサイダー取引 API programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "R1IRHAzuJqF87IxHV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~japan-edinet-insider-filings/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-japan-edinet-insider-filings", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~japan-edinet-insider-filings/runs": { "post": { "operationId": "runs-sync-nexgendata-japan-edinet-insider-filings", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~japan-edinet-insider-filings/run-sync": { "post": { "operationId": "run-sync-nexgendata-japan-edinet-insider-filings", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "apiKey": { "title": "EDINET API subscription key", "type": "string", "description": "Free Japan FSA EDINET API v2 subscription key. Register at https://api.edinet-fsa.go.jp/ (email + phone, no credit card). Required — EDINET v2 closed the unauthenticated endpoint in 2023 and all requests now need a key. Pass via this input field for one-off runs, OR set the EDINET_API_KEY environment variable on your Apify task for scheduled runs. Rate limit: ~3 requests/second per key, generous enough for any institutional workflow. The key is never logged or persisted by this actor." }, "date_from": { "title": "Date from (YYYY-MM-DD)", "type": "string", "description": "Filing-date lower bound (inclusive). EDINET retains roughly 5 years of filings. For breaking insider-flow surveillance use a 7-30 day window; for backtesting M&A / takeover events use a 90-365 day window. Leave blank to default to 30 days before today (UTC). EDINET accepts roughly 50-200 filings/day on weekdays and zero on weekends/Japanese public holidays.", "default": "" }, "date_to": { "title": "Date to (YYYY-MM-DD)", "type": "string", "description": "Filing-date upper bound (inclusive). Leave blank to default to today (UTC). Maximum window is 365 days — for longer-horizon studies, paginate by running multiple windowed jobs.", "default": "" }, "doc_type": { "title": "Document type", "enum": [ "large_shareholder", "large_shareholder_change", "treasury_buyback", "officer_trade", "all" ], "type": "string", "description": "Which EDINET filing categories to sweep. `large_shareholder` covers 大量保有報告書 (initial 5% Schedule 13D / 13G equivalent) AND 変更報告書 (≥1% holdings change update) — the canonical Japanese insider / activist-investor signal. `large_shareholder_change` returns ONLY 変更報告書 (movement filings). `treasury_buyback` returns 自己株券買付状況報告書 (the company's own repurchase activity — a leading bullish signal historically). `officer_trade` is the catch-all for director/officer-shareholding disclosures embedded in annual / quarterly reports (noisier, larger volume). `all` returns large_shareholder + treasury_buyback combined — the institutional default.", "default": "all" }, "filer_name": { "title": "Filer name filter (optional, Japanese or English substring)", "type": "string", "description": "Optional case-insensitive substring match on the filer name. EDINET stores filer names primarily in Japanese (filerName), with English transliteration in filerNameEn when available. Examples: 'ブラックロック' or 'BlackRock', '野村' or 'Nomura', 'バリュー・パートナーズ' or 'Value Partners'. Useful for tracking specific activist funds (Murakami Fund / 村上ファンド, Oasis Management, Dalton Investments, Effissimo, ValueAct Capital).", "default": "" }, "issuer_ticker": { "title": "Issuer TSE ticker filter (optional, 4-digit code)", "type": "string", "description": "Optional 4-digit Tokyo Stock Exchange securities code (e.g. '7203' for Toyota, '6758' for Sony, '9984' for SoftBank Group, '7974' for Nintendo). Accepts suffix-tagged forms too ('7203.T', 'TYO:7203'). Leave blank to scan all issuers — useful for activist-fund flow analysis where you don't know the target in advance. EDINET surfaces the issuer's TSE code in 5% rule filings via the `secCode` field (5-digit format with check digit '0').", "default": "" }, "max_filings": { "title": "Max filings returned", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Hard cap on dataset rows pushed. Each row is one EDINET filing. A 7-day large-shareholder scan typically returns 60-150 rows across the whole TSE; a 30-day all-doctype scan returns 400-1500. Cap accordingly — at the proposed institutional pricing of $0.15/filing, $30 buys roughly 200 filings.", "default": 100 }, "enrich_xbrl": { "title": "Enrich with XBRL holding %", "type": "boolean", "description": "When true (default), the actor downloads the XBRL filing instance for each 350/360 (large-shareholder) row and extracts the post-filing holdings %, total shares held, and change vs previous filing. Each XBRL download is ~50-300KB and adds ~1.5s per filing (EDINET rate limit). Disable for fast metadata-only scans when you don't need precise holding ratios.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration (optional)", "type": "object", "description": "Optional. EDINET API v2 is normally reachable from any IP — Japan FSA does not geofence the public API. Enable Apify proxy only if you see HTTP 429 / 503 errors during peak TSE open or after a major activist disclosure event. RESIDENTIAL with country=JP is the most robust setting; DATACENTER works for low-volume scans.", "default": { "useApifyProxy": false } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Japan EDINET Insider Filings — インサイダー取引 API from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: