# J-Net21 Case Studies Scraper (`logfabric/j-net21-case-studies-scraper`) Actor Extract public J-Net21 case-study article metadata from the official SME support website. - **URL**: https://apify.com/logfabric/j-net21-case-studies-scraper.md - **Developed by:** [LogFabric](https://apify.com/logfabric) (community) - **Categories:** Automation, News, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results 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 ## J-Net21 Case Studies Scraper Extracts **public case-study article metadata** from the official J-Net21 SME support website (https://j-net21.smrj.go.jp/special/), operated by the Organization for Small & Medium Enterprises and Regional Innovation, Japan (SMRJ). ### What this Actor does - Fetches the public J-Net21 case-study listing pages (`/special/` and `/special/index.php?page=N`). - Parses each visible article card and extracts metadata: title, article URL, category, published date, organization name, location, tags, and image URL. - Paginates only as far as needed to reach `maxItems` (or until the site runs out of pages). - Writes results to the default dataset and a `RUN_SUMMARY` object to the default key-value store. ### What this Actor does NOT do - **This is not a contact scraper.** It does not extract emails, phone numbers, or personal contact details. - It does not extract any private, customer, or account data. - It does not visit detail pages in v0 — only the listing pages are parsed. - It does not download images, PDFs, or any other files (an `imageUrl` is extracted, but the image itself is never fetched). - It does not use a proxy, login, cookies, or session state. - It does not solve CAPTCHAs or attempt to bypass any access controls. - It does not crawl any site other than the official J-Net21 domain. - It uses Crawlee + Cheerio only — no headless browser (Playwright) is used. ### Input | Field | Type | Default | Range | Description | |-------------|---------|---------|---------|------------------------------------------------| | `maxItems` | integer | `20` | 1–100 | Maximum number of records to extract. | | `debug` | boolean | `false` | — | Enables verbose debug logging for the run. | Example input: ```json { "maxItems": 20, "debug": false } ```` ### Output example Each dataset record looks like this: ```json { "title": "逆境を力に変え「水産物」で世界に挑む、武器は機動力とアイデア「株式会社ヤマナカ」", "pageUrl": "https://j-net21.smrj.go.jp/special/vibrant/20260619.html", "category": "事例", "publishedDate": "2026-06-19", "organizationName": "株式会社ヤマナカ", "location": "宮城県 石巻市", "tags": ["経営戦略", "販路開拓・海外展開"], "imageUrl": "https://j-net21.smrj.go.jp/special/vibrant/img/20260619.jpg", "sourceName": "J-Net21", "sourceUrl": "https://j-net21.smrj.go.jp/special/", "found": true, "retrievedAt": "2026-07-01T05:00:00.000Z" } ``` If a card is missing a required field (title or article link), it is skipped and counted in `recordsSkipped` / `skippedDueToLimit` in the `RUN_SUMMARY` — it is never pushed as a partial or guessed record. ### Output limits and cost control - `maxItems` (input) is clamped to an **internal hard cap of 100**. - If the platform sets `ACTOR_MAX_PAID_DATASET_ITEMS`, the Actor also respects that limit: ``` effectiveMaxItems = min(input.maxItems, ACTOR_MAX_PAID_DATASET_ITEMS, 100) ``` - The Actor stops pushing records as soon as `effectiveMaxItems` is reached, and stops paginating — it will not fetch listing pages beyond what is needed. - Any additional cards visible on a page after the limit is reached are counted in `skippedDueToLimit`, not treated as errors. ### RUN\_SUMMARY A `RUN_SUMMARY` object (schema `RUN_SUMMARY v1`) is written to the **default key-value store** at the end of every run. It contains: | Field | Meaning | |---------------------------|------------------------------------------------------------------| | `totalItems` | Number of records actually pushed to the dataset. | | `requestedMaxItems` | The `maxItems` value from input. | | `effectiveMaxItems` | The actual cap applied after cost controls. | | `actorMaxPaidDatasetItems`| Value read from `ACTOR_MAX_PAID_DATASET_ITEMS` (or `null`). | | `skippedDueToLimit` | Cards seen but not pushed because the limit was already reached. | | `errorCount` | Number of severe issues (blocked page, failed request, etc.). | | `warningCount` | Number of non-fatal issues (a card that failed to parse, etc.). | | `warnings` | Array of human-readable warning/error messages. | | `sourceUrl` | The main listing page used as the source for this run. | | `requestsFinished` | Number of listing-page requests that completed. | | `requestsFailed` | Number of listing-page requests that failed. | | `cardsSeen` | Total article cards seen across all parsed listing pages. | | `recordsMatched` | Valid records successfully pushed (should equal `totalItems`). | | `recordsSkipped` | Cards skipped because required fields were missing/unparseable. | | `retrievedAt` | ISO timestamp for the run. | Notes on severity: - Reaching `maxItems` is **not** an error — it is reflected only in `skippedDueToLimit`. - Fewer results than requested (e.g., the site simply has fewer articles than `maxItems`) is **not** an error. - A single card that fails to parse adds a warning and the run continues. - An HTTP failure on a listing page increments `requestsFailed` and `errorCount`. - If the source returns HTTP 403, a CAPTCHA/login page, or a listing page with zero article cards on the very first page, the Actor records this as an error, stops crawling, and reflects it clearly in `RUN_SUMMARY`. ### Limitations - Only listing-page metadata is extracted; full article body text is not collected (v0 does not visit detail pages). - The `location` field is parsed from the organization line's parenthetical text (e.g. `会社名 (県 市)`); if the source page changes this format, the field may come back as `null` for some records without failing the whole run. - If J-Net21 changes its HTML structure (class names such as `news-card`, `news-card__ttl`, etc.), extraction may return fewer fields or fail — this is intentionally treated as a warning/error rather than silently guessed data. - The Actor does not use a proxy, so it is subject to the plain outbound IP's access to the site; heavy rate limiting or geo-blocking by the source site is out of scope. ### Data source All data comes from the official public J-Net21 case-study listing pages: https://j-net21.smrj.go.jp/special/ (operated by SMRJ, an independent administrative agency of Japan). This Actor only reads publicly available listing metadata and performs no login, no scraping of private data, and no downloading of files or images. # Actor input Schema ## `maxItems` (type: `integer`): Maximum number of case-study records to extract. Clamped to the internal hard cap (100) and to ACTOR\_MAX\_PAID\_DATASET\_ITEMS when that env var is set. ## `debug` (type: `boolean`): Enable verbose debug logging during the run. ## Actor input object example ```json { "maxItems": 20, "debug": false } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("logfabric/j-net21-case-studies-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 = {} # Run the Actor and wait for it to finish run = client.actor("logfabric/j-net21-case-studies-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 '{}' | apify call logfabric/j-net21-case-studies-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=logfabric/j-net21-case-studies-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "J-Net21 Case Studies Scraper", "description": "Extract public J-Net21 case-study article metadata from the official SME support website.", "version": "0.0", "x-build-id": "5MDnttKQAZt80la9q" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logfabric~j-net21-case-studies-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logfabric-j-net21-case-studies-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/logfabric~j-net21-case-studies-scraper/runs": { "post": { "operationId": "runs-sync-logfabric-j-net21-case-studies-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/logfabric~j-net21-case-studies-scraper/run-sync": { "post": { "operationId": "run-sync-logfabric-j-net21-case-studies-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxItems": { "title": "Max items", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of case-study records to extract. Clamped to the internal hard cap (100) and to ACTOR_MAX_PAID_DATASET_ITEMS when that env var is set.", "default": 20 }, "debug": { "title": "Debug logging", "type": "boolean", "description": "Enable verbose debug logging during the run.", "default": 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 } } }, "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 } } } } } } } } } } ```