# Rakuma Fril Japan Listings Scraper (`jungle_synthesizer/rakuma-fril-japan-listings-scraper`) Actor First full Rakuma (fril.jp) listings actor: keyword search plus item-detail enrichment (condition, seller, shipping payer, price-drop flag) unifying what three shallow single-purpose scripts do separately. - **URL**: https://apify.com/jungle\_synthesizer/rakuma-fril-japan-listings-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, 0 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Rakuma Fril Japan Listings Scraper Scrape listings from **Rakuma** (旧フリル / fril.jp) — Rakuten's C2C flea-market app, a top-3 Japanese resale surface behind Mercari. One schema unifies keyword search with item-detail enrichment (condition, seller, shipping payer, price-drop flag), replacing what three separate shallow single-purpose scripts do on Apify today. ### What it does - Searches Rakuma by keyword (Japanese search terms, e.g. `腕時計` for watches) - Extracts ~40 listing cards per search results page from server-rendered HTML - Follows every listing's detail page to enrich each record with condition, shipping payer, seller id/rating, and full category breadcrumb - Paginates automatically until `maxItems` is reached ### Input | Field | Type | Required | Description | Default | |-------|------|----------|-------------|---------| | `query` | string | Yes | Japanese search keyword (e.g. `腕時計`) — free text, Rakuma's search accepts any term | `腕時計` | | `maxItems` | integer | Yes | Maximum number of listings to return | `10` | ### Output Each record contains: | Field | Description | |-------|-------------| | `item_id` | 32-hex item id from the `item.fril.jp/` detail URL | | `title` | Listing title | | `sub_name` | Brand or variant sub-name line shown under the title (often blank) | | `price_jpy` | Listing price in Japanese yen | | `item_status` | `on-sale` or `sold` | | `is_reduced` | `true` if the listing shows a price-drop/reduction badge | | `category_path` | Breadcrumb category path, e.g. `メンズ > 時計 > 腕時計(アナログ)` | | `condition` | Item condition grade from the detail page (Japanese text, e.g. `目立った傷や汚れなし`) | | `seller_id` | Seller shop/user slug from the detail page | | `seller_rating` | Percent positive seller reviews (`good / (good+neutral+bad) * 100`) | | `shipping_payer` | Shipping-cost label from the detail page (e.g. `送料込`) | | `item_url` | Canonical item detail URL | | `image_urls` | Gallery image URLs from the item detail page | | `posted_at` | Listing post date, when exposed by the source (not present on most items — best-effort) | | `region` | Fixed `JP` | ### Notes - Listing and detail pages are both server-rendered static HTML — no browser automation required - Runs through a DataImpulse residential proxy (Japan exit) to sustain deeper multi-page sweeps reliably - Sustained/deep crawling can trigger a rate-limit slide-puzzle challenge on Rakuma; a challenge page is detected and skipped rather than saved as a record - `posted_at` is not exposed on the detail page for most listings (official-shop and many individual listings alike) — left `null` when absent rather than guessed ### Resuming a large crawl Every run accepts an optional `resumeCursor` input. If a previous run was stopped partway (manually, or by an Apify timeout), copy `resumeCursor` from that run's output into the next run's input to continue from where it left off — already-collected listings are not re-fetched or re-charged. ### Example Input: ```json { "query": "腕時計", "maxItems": 10 } ```` Output (excerpt): ```json { "item_id": "ad0ea2effd2b8402bfd35a535a68d03d", "title": "★自動巻き腕時計★", "sub_name": "", "price_jpy": 30000, "item_status": "on-sale", "is_reduced": false, "category_path": "メンズ > 時計 > 腕時計(アナログ)", "condition": "やや傷や汚れあり", "seller_id": "826c317fd579fddd3265c9d9b2722c42", "seller_rating": 100, "shipping_payer": "送料込", "item_url": "https://item.fril.jp/ad0ea2effd2b8402bfd35a535a68d03d", "image_urls": ["https://img.fril.jp/img/841313910/l/2900239709.jpg?1783218852"], "posted_at": null, "region": "JP" } ``` # 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. ## `resumeCursor` (type: `string`): Leave empty for a fresh crawl. To CONTINUE a previous run where it stopped — without paying again for records you already received — paste the `resumeCursor` value from that run's Output (the run's OUTPUT key). Resume promptly: the previous run's data expires with your account's retention window (free tier: your ~10 most recent runs). ## `maxItems` (type: `integer`): Maximum number of records to scrape ## `query` (type: `string`): Japanese search keyword to query on fril.jp (e.g. "腕時計" for watches). Free-text — Rakuma keyword search accepts any term. ## 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, "query": "腕時計" } ``` # 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, "query": "腕時計" }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/rakuma-fril-japan-listings-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, "query": "腕時計", } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/rakuma-fril-japan-listings-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, "query": "腕時計" }' | apify call jungle_synthesizer/rakuma-fril-japan-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/rakuma-fril-japan-listings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Rakuma Fril Japan Listings Scraper", "description": "First full Rakuma (fril.jp) listings actor: keyword search plus item-detail enrichment (condition, seller, shipping payer, price-drop flag) unifying what three shallow single-purpose scripts do separately.", "version": "0.1", "x-build-id": "WQYkcAjEyejqSx3Ue" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~rakuma-fril-japan-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-rakuma-fril-japan-listings-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~rakuma-fril-japan-listings-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-rakuma-fril-japan-listings-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~rakuma-fril-japan-listings-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-rakuma-fril-japan-listings-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": [ "query", "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." }, "resumeCursor": { "title": "Resume cursor (continue a previous run)", "type": "string", "description": "Leave empty for a fresh crawl. To CONTINUE a previous run where it stopped — without paying again for records you already received — paste the `resumeCursor` value from that run's Output (the run's OUTPUT key). Resume promptly: the previous run's data expires with your account's retention window (free tier: your ~10 most recent runs)." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to scrape" }, "query": { "title": "Search Keyword", "type": "string", "description": "Japanese search keyword to query on fril.jp (e.g. \"腕時計\" for watches). Free-text — Rakuma keyword search accepts any term." } } }, "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 } } } } } } } } } } ```