# Japan Subsidies & Grants Scraper (jGrants) 🇯🇵 💰 $5/1K (`datakura/japan-subsidies-scraper`) Actor
Extract Japanese government subsidies & grants from the official jGrants API (Digital Agency): amounts, subsidy rates, deadlines, target industries/regions, full descriptions and application documents — filter by keyword and acceptance status.
- **URL**: https://apify.com/datakura/japan-subsidies-scraper.md
- **Developed by:** [Datakura Studio](https://apify.com/datakura) (community)
- **Categories:** Business, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $5.00 / 1,000 subsidy records
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Japan Subsidies & Grants Scraper — official jGrants data, structured
Extract **Japanese government subsidies and grants (補助金・助成金)** from **jGrants**, the Digital Agency's official subsidy application portal. Keyword search, open-application filtering, and full detail enrichment — amounts, subsidy rates, deadlines, target industries, target regions, employee-size conditions, full descriptions and application-document metadata — returned as clean structured JSON.
The source is an official government API: legal to use, token-free, and exceptionally stable.
### What data does it extract?
| Field | Description |
|---|---|
| `subsidyId` / `code` | jGrants record ID and subsidy code |
| `title` | Subsidy name (e.g. `【久留米市】小規模事業者デジタル化支援補助金`) |
| `catchPhrase` | One-line summary when provided |
| `institution` | Granting institution |
| `targetArea` / `targetAreaDetail` | Target region (`全国` or prefecture) + detail |
| `employeeLimit` | Employee-count condition (e.g. `20名以下`) |
| `maxAmountJpy` | Maximum grant amount in JPY |
| `subsidyRate` | Subsidy rate (e.g. `1/2`, `2/3`) when provided |
| `industries` | Target industries (array) |
| `usePurposes` | Use purposes (array, e.g. `設備整備・IT導入をしたい`) |
| `acceptanceStartAt` / `acceptanceEndAt` | Application window (ISO 8601) |
| `projectEndDeadline` | Project completion deadline |
| `isAcceptingViaJgrants` | Whether applications go through jGrants itself |
| `descriptionText` / `descriptionHtml` | Full description (plain text + original HTML) |
| `officialPageUrl` | Official jGrants detail page |
| `applicationGuidelines` / `applicationForms` / `grantOutlines` | Application document names + sizes |
| `scrapedAt` | ISO timestamp of extraction |
### Sample output
```json
{
"subsidyId": "a0WJ200000CDbpCMAT",
"code": "S-00009403",
"title": "【久留米市】久留米市小規模事業者デジタル化支援補助金（令和８年度）",
"targetArea": "福岡県",
"employeeLimit": "20名以下",
"maxAmountJpy": 200000,
"industries": ["建設業", "製造業", "卸売業、小売業"],
"usePurposes": ["設備整備・IT導入をしたい"],
"acceptanceStartAt": "2026-06-23T23:30:00.000Z",
"acceptanceEndAt": "2026-12-28T08:15:00.000Z",
"descriptionText": "市内小規模事業者のデジタル化を支援…",
"officialPageUrl": "https://www.jgrants-portal.go.jp/subsidy/a0WJ200000CDbpCMAT",
"applicationForms": [
{ "name": "2-2 支出計画書（第２号様式-2）.xls", "approxSizeBytes": 35841 }
],
"scrapedAt": "2026-07-08T01:20:00.000Z"
}
````
### Input
- **`keywords`** — search terms to sweep (min. 2 chars each); results are merged and **deduplicated**. Broad terms like `補助金` return the whole catalog; combine narrow terms like `デジタル`, `省エネ`, `創業`, `輸出`
- **`acceptingOnly`** — ON (default): only subsidies currently accepting applications; OFF: full catalog
- **`includeDetails`** — ON (default): enrich each record with full description, rates, industries, documents
- **`sort`** / **`order`** — newest first by default; sort by acceptance start/deadline too
- **`maxItems`** — cap on results; you are only charged for what you get
### Pricing (pay per event)
| Usage | Approx. cost |
|---|---|
| 50 subsidies (default) | $0.27 |
| 500 subsidies | $2.52 |
| Full open catalog (~2,400) | ~$12 |
Actor start: $0.02 + $0.005 per subsidy (detail enrichment included). No subscription, no rental fee. A daily "what's new" monitoring run costs pennies.
### Common use cases
- **Grant-consulting lead engine** — 士業/consultants: alert clients the day a matching subsidy opens (region × industry × employee size are all structured fields)
- **SaaS / fintech integrations** — power "subsidies you qualify for" features in accounting, banking or HR products
- **AI agents / RAG pipelines** — full descriptions in every record make this a drop-in source for LLM matching and summarization
### Use from AI agents (MCP)
This Actor can be called as an MCP tool via [Apify MCP server](https://mcp.apify.com). Point your agent to `mcp.apify.com` and search for this Actor by name.
### FAQ
**Is this legal?** Yes. jGrants' public API is operated by Japan's Digital Agency precisely so subsidy information can be reused programmatically. No personal data.
**Why is `maxAmountJpy` sometimes 0 or fields null?** The portal aggregates records from many institutions; not every field is populated at the source. `title`, `targetArea`, acceptance dates and `officialPageUrl` are reliably present.
**Can I get the application files themselves?** The API embeds files as base64 (several MB each), which would blow up dataset items — this Actor returns file names + sizes instead, and every record links to its official page where files are downloadable.
**Does it include municipal subsidies?** It includes everything published on jGrants (national + prefectural + municipal). Some purely local subsidies are never posted to jGrants — that subset is out of scope.
**Something broken?** Open an issue on this Actor's page — fixes ship within 24 hours.
***
*Maintenance notes (internal): list = `GET /exp/v1/public/subsidies?keyword=..&sort=..&order=..&acceptance=0|1` (keyword REQUIRED, min 2 chars, else `{"message":"Bad request"}` HTTP 400). NO pagination — full set in one response (verified count=2418 → len=2418). Detail = `GET /subsidies/id/{id}`; `application_*`/`outline_of_grant` embed base64 file payloads (one record hit 12 MB > Apify's 9 MB item limit — metadata-only mapping is load-bearing). Legitimate empty = `metadata.resultset.count: 0`. Verified 2026-07-08.*
# Actor input Schema
## `keywords` (type: `array`):
Keywords to sweep (each min. 2 characters, Japanese works best). Results are merged and deduplicated. Broad defaults like 補助金 return the whole catalog; narrow with terms like デジタル, 省エネ, 創業.
## `acceptingOnly` (type: `boolean`):
ON = only subsidies whose application window is open now. OFF = full catalog including past/upcoming rounds.
## `includeDetails` (type: `boolean`):
Enrich each subsidy with the detail record: full description, subsidy rate, target industries, use purposes, application documents and official page URL. Recommended.
## `sort` (type: `string`):
Sort field applied by the jGrants API.
## `order` (type: `string`):
Sort direction.
## `maxItems` (type: `integer`):
Maximum number of subsidies to return. Keep the default to try the Actor cheaply.
## Actor input object example
```json
{
"keywords": [
"補助金"
],
"acceptingOnly": true,
"includeDetails": true,
"sort": "created_date",
"order": "DESC",
"maxItems": 50
}
```
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keywords": [
"補助金"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("datakura/japan-subsidies-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "keywords": ["補助金"] }
# Run the Actor and wait for it to finish
run = client.actor("datakura/japan-subsidies-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"keywords": [
"補助金"
]
}' |
apify call datakura/japan-subsidies-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=datakura/japan-subsidies-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Japan Subsidies & Grants Scraper (jGrants) 🇯🇵 💰 $5/1K",
"description": "Extract Japanese government subsidies & grants from the official jGrants API (Digital Agency): amounts, subsidy rates, deadlines, target industries/regions, full descriptions and application documents — filter by keyword and acceptance status.",
"version": "0.1",
"x-build-id": "Sy45RDLPYX1pqVfKI"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/datakura~japan-subsidies-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-datakura-japan-subsidies-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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/datakura~japan-subsidies-scraper/runs": {
"post": {
"operationId": "runs-sync-datakura-japan-subsidies-scraper",
"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/datakura~japan-subsidies-scraper/run-sync": {
"post": {
"operationId": "run-sync-datakura-japan-subsidies-scraper",
"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": {
"keywords": {
"title": "Search keywords",
"type": "array",
"description": "Keywords to sweep (each min. 2 characters, Japanese works best). Results are merged and deduplicated. Broad defaults like 補助金 return the whole catalog; narrow with terms like デジタル, 省エネ, 創業.",
"items": {
"type": "string"
}
},
"acceptingOnly": {
"title": "Currently accepting applications only",
"type": "boolean",
"description": "ON = only subsidies whose application window is open now. OFF = full catalog including past/upcoming rounds.",
"default": true
},
"includeDetails": {
"title": "Fetch full details",
"type": "boolean",
"description": "Enrich each subsidy with the detail record: full description, subsidy rate, target industries, use purposes, application documents and official page URL. Recommended.",
"default": true
},
"sort": {
"title": "Sort by",
"enum": [
"created_date",
"acceptance_start_datetime",
"acceptance_end_datetime"
],
"type": "string",
"description": "Sort field applied by the jGrants API.",
"default": "created_date"
},
"order": {
"title": "Order",
"enum": [
"DESC",
"ASC"
],
"type": "string",
"description": "Sort direction.",
"default": "DESC"
},
"maxItems": {
"title": "Max results",
"minimum": 1,
"maximum": 100000,
"type": "integer",
"description": "Maximum number of subsidies to return. Keep the default to try the Actor cheaply.",
"default": 50
}
}
},
"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
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```