# Jmty Japan Local Classifieds & Flea Market Scraper (`jungle_synthesizer/jmty-japan-local-classifieds-flea-market-scraper`) Actor Scrape listings from Jmty (ジモティー), Japan's dominant hyper-local classifieds and flea-market platform. Extract titles, prices, locations, categories, descriptions, images, and seller info by prefecture and category. - **URL**: https://apify.com/jungle\_synthesizer/jmty-japan-local-classifieds-flea-market-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Jmty Japan Local Classifieds & Flea Market Scraper Scrapes listing data from [Jmty (ジモティー)](https://jmty.jp), Japan's dominant hyper-local classifieds and flea-market platform. Not Mercari — the other one, the one with free giveaways, local lessons, and listings for things you'd never think to search for nationally. Returns structured records per listing: title, price, location (prefecture + city), category hierarchy, full description, seller info, image URLs, and timestamps. All fields sourced from the site's Next.js data layer, not scraped from CSS selectors. ### What It Covers Jmty's URL pattern is `/{prefecture}/{category}`. You configure which prefectures and categories to scrape; the actor paginates through all results and pulls a detail page per listing. Default scope is Tokyo → sale. Scale to all 47 prefectures or specific subcategories as needed. Top-level categories: `sale`, `lesson`, `event`, `job`, `community`. Subcategory examples: `sale-ele` (electronics), `sale-fur` (furniture), `job-off` (office work), `lesson-mus` (music lessons). ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `maxItems` | integer | 10 | Maximum listing records to return. Omit for unlimited. | | `prefectures` | array | `["tokyo"]` | Prefecture slugs (e.g. `tokyo`, `osaka`, `kanagawa`, `aichi`). | | `categories` | array | `["sale"]` | Category or subcategory slugs to scrape. | ### Output Schema Each record contains: | Field | Type | Description | |-------|------|-------------| | `listing_id` | string | Short listing key used in the URL (e.g. `lc6o4`) | | `title` | string | Listing title | | `category` | string | Top-level category name in Japanese | | `category_en` | string | Category slug in English (e.g. `sale`) | | `subcategory` | string | Subcategory name in Japanese (e.g. 家電) | | `price` | string | Price in yen (e.g. `18,000円`). Free items show `0円` or negotiation text. | | `prefecture` | string | Prefecture name in Japanese (e.g. 東京) | | `prefecture_en` | string | Prefecture slug (e.g. `tokyo`) | | `city` | string | City or ward name in Japanese (e.g. 世田谷) | | `city_en` | string | City slug (e.g. `setagaya`) | | `description` | string | Full listing description text | | `posted_date` | string | ISO 8601 creation timestamp (JST) | | `updated_date` | string | ISO 8601 last-updated timestamp (JST) | | `poster_name` | string | Seller display name | | `poster_id` | string | Internal user ID | | `image_urls` | string | Comma-separated list of full-size image CDN URLs | | `detail_url` | string | Canonical URL of the listing detail page | ### How It Works Listing pages (`/tokyo/sale`, `/tokyo/sale/p-2`, etc.) are server-rendered HTML. The actor reads `li.p-articles-list-item` elements to find detail page URLs. Detail pages are Next.js SSR — structured data lives in a `__NEXT_DATA__` JSON block, parsed directly without a browser. No JavaScript execution required. Concurrency is kept low (3 parallel requests) out of courtesy. The site has no anti-bot protection. ### Pricing Pay-per-event. Charged per listing record returned. No charge for pagination pages or failed requests. ### Example Use Cases - Monitor local second-hand pricing by prefecture for resale arbitrage - Aggregate free giveaway listings across regions - Track local lesson or event postings for community analysis - Build a Jmty search index or alert system --- *Data is subject to Jmty's terms of service. Use responsibly.* # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of listing records to scrape. Leave empty for unlimited. ## `prefectures` (type: `array`): List of prefecture slugs to scrape (e.g. tokyo, osaka, kanagawa, aichi, fukuoka). Leave empty to default to tokyo. ## `categories` (type: `array`): List of category slugs to scrape (e.g. sale, lesson, event, job, community) or subcategory slugs (e.g. sale-ele, sale-fur, job-off). Leave empty to default to sale. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "prefectures": [ "tokyo" ], "categories": [ "sale" ] } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "prefectures": [ "tokyo" ], "categories": [ "sale" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/jmty-japan-local-classifieds-flea-market-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "prefectures": ["tokyo"], "categories": ["sale"], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/jmty-japan-local-classifieds-flea-market-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "prefectures": [ "tokyo" ], "categories": [ "sale" ] }' | apify call jungle_synthesizer/jmty-japan-local-classifieds-flea-market-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/jmty-japan-local-classifieds-flea-market-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Jmty Japan Local Classifieds & Flea Market Scraper", "description": "Scrape listings from Jmty (ジモティー), Japan's dominant hyper-local classifieds and flea-market platform. Extract titles, prices, locations, categories, descriptions, images, and seller info by prefecture and category.", "version": "0.1", "x-build-id": "yAOJpb7cOqBiXi4se" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~jmty-japan-local-classifieds-flea-market-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-jmty-japan-local-classifieds-flea-market-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/jungle_synthesizer~jmty-japan-local-classifieds-flea-market-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-jmty-japan-local-classifieds-flea-market-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/jungle_synthesizer~jmty-japan-local-classifieds-flea-market-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-jmty-japan-local-classifieds-flea-market-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", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of listing records to scrape. Leave empty for unlimited." }, "prefectures": { "title": "Prefectures", "type": "array", "description": "List of prefecture slugs to scrape (e.g. tokyo, osaka, kanagawa, aichi, fukuoka). Leave empty to default to tokyo.", "items": { "type": "string" } }, "categories": { "title": "Categories", "type": "array", "description": "List of category slugs to scrape (e.g. sale, lesson, event, job, community) or subcategory slugs (e.g. sale-ele, sale-fur, job-off). Leave empty to default to sale.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```