# Ragtag Japan Designer Resale Listings Scraper (`jungle_synthesizer/ragtag-japan-designer-resale-listings-scraper`) Actor

Scrapes live listings from RAGTAG Online (ragtag.jp), Japan's largest designer-resale chain. Returns brand, model, condition grade, JPY price, size, color, sold-out flag, and bilingual brand fields — ideal for JP→US/EU luxury arbitrage and cross-border resale price comparisons.

- **URL**: https://apify.com/jungle\_synthesizer/ragtag-japan-designer-resale-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, 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

## RAGTAG Japan Designer Resale Listings Scraper

Scrapes live listings from [RAGTAG Online](https://www.ragtag.jp) (ragtag.jp), Japan's largest designer-resale chain with ~246,000 active listings. Returns brand, model, condition grade, JPY price, size, color, sold-out status, and bilingual brand fields — the data backbone for JP→US/EU luxury arbitrage analysis and cross-border designer-resale price comparisons.

### What you get

Each record covers one RAGTAG listing:

| Field | Description |
|-------|-------------|
| `listing_id` | RAGTAG item code (e.g. `3601425N0056`) |
| `title` | Full listing title (Japanese, e.g. `VANS スニーカー`) |
| `brand` | Brand name in Latin script (e.g. `VANS`, `CHANEL`, `HERMES`) |
| `brand_kana` | Brand name in Japanese kana (e.g. `バンズ`) |
| `brand_id` | RAGTAG internal brand code — links to `/brand/<id>/` pages |
| `product_type` | Category name in Japanese (e.g. `スニーカー`, `バッグ`) |
| `category_id` | RAGTAG category code (e.g. `FW5C` for sneakers, `SH2C` for bags) |
| `model` | Model/description extracted from title (brand prefix stripped) |
| `sub_reference` | Collab or line markers (e.g. `× RONHERMAN`) |
| `condition` | RAGTAG condition grade: `S` / `A` / `AB` / `B` / `BC` / `C` / `CD` / `D` |
| `color` | Color in Japanese (e.g. `赤` for red, `黒` for black) |
| `size` | Size as listed (e.g. `26.5cm`, `M`, `36`) |
| `price_jpy` | Current selling price in JPY (low end) |
| `price_high_jpy` | Selling price high end (equals `price_jpy` when single price) |
| `base_price_jpy` | Original / list price before markdown |
| `available` | `true` if in stock; `false` if sold out |
| `is_new_arrival` | `true` if flagged as new arrival |
| `is_sale` | `true` if on sale |
| `sale_starts_at` | Sale start datetime (format `YYYYMMDDHHmmss`) |
| `season` | Season code (e.g. `25N` for 2025 new season) |
| `display_tags` | All display tags including condition, season, material tags |
| `product_url` | Full URL to the listing on ragtag.jp |
| `image_url` | Full URL to the primary listing image |
| `review_count` | Number of reviews |
| `review_score` | Review score (0–5) |
| `scraped_at` | ISO 8601 timestamp of when the record was scraped |

### Use cases

- **Cross-border luxury arbitrage**: Model the JPY→USD/EUR price gap on the same brand/model/condition across RAGTAG (JP), Fashionphile, Rebag (US), and Hardly Ever Worn It (UK)
- **Brand secondary-market analysis**: Track how specific brands move through the Japanese pre-owned market — pricing, condition distribution, sell-through velocity
- **Price monitoring**: Track JPY prices over time for specific brands, models, or condition grades
- **Authentication/appraisal**: Calibrate Japanese-market pricing for authentication services
- **Inventory research**: Filter by brand code, category, or condition to understand supply depth

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `maxItems` | integer | Yes | Maximum records to return (use 10–15 for testing; omit for full catalog) |
| `brand_id` | string | No | Optional RAGTAG brand code to filter results (e.g. `01016` for BEAMS). Leave blank to scrape all brands. |
| `category_id` | string | No | Optional RAGTAG category code to filter results (e.g. `FW5C` for sneakers, `SH2C` for bags). Leave blank to scrape all categories. |

#### Example inputs

Scrape 100 CHANEL listings:
```json
{
  "maxItems": 100,
  "brand_id": "00001"
}
````

Scrape all handbags (no maxItems cap = full catalog):

```json
{
  "category_id": "SH2C"
}
```

### How it works

The actor calls RAGTAG's public item-search JSON API at `/api/v1/item/search/json` — no HTML parsing, no browser rendering, no proxy required. It paginates through results (100 items per page) until the catalog is exhausted or `maxItems` is reached. Optional brand and category filters reduce the page count for targeted runs.

**Full catalog run**: ~2,450 pages × 100 items = ~245,000 listings at 2 requests/sec ≈ a few hours.

### Pricing note

All prices are in Japanese Yen (JPY). For cross-border comparison, apply current JPY/USD or JPY/EUR exchange rates. The `base_price_jpy` field shows the original list price — useful for computing the markdown percentage relative to retail.

### Condition grades

RAGTAG uses a proprietary grading system from best to worst:

| Grade | Meaning |
|-------|---------|
| `S` | Unused / mint condition |
| `A` | Near-mint, minimal signs of use |
| `AB` | Between A and B |
| `B` | Light use, normal wear |
| `BC` | Between B and C |
| `C` | Visible wear |
| `CD` | Between C and D |
| `D` | Heavy wear, significant flaws |

### Notes

- Content is in Japanese (UTF-8). Brand names are available in both Latin (`brand`) and kana (`brand_kana`).
- The `available` flag reflects RAGTAG's `soFlg` (sold-out flag) at scrape time. Items sell quickly — run-to-run freshness matters for arbitrage use cases.
- Color names are in Japanese. Common mappings: 赤=red, 黒=black, 白=white, 青=blue, 茶=brown, グレー=gray, ベージュ=beige, ピンク=pink.

# 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 records to scrape

## `brand_id` (type: `string`):

Optional RAGTAG brand code (dBrId) to filter results — e.g. 01016 for BEAMS. Leave blank to scrape all brands.

## `category_id` (type: `string`):

Optional RAGTAG category code (cId) to filter results — e.g. FW5C for sneakers, SH2C for bags. Leave blank to scrape all categories.

## 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
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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,
    "brand_id": "",
    "category_id": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/ragtag-japan-designer-resale-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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,
    "brand_id": "",
    "category_id": "",
}

# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/ragtag-japan-designer-resale-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,
  "brand_id": "",
  "category_id": ""
}' |
apify call jungle_synthesizer/ragtag-japan-designer-resale-listings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jungle_synthesizer/ragtag-japan-designer-resale-listings-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Ragtag Japan Designer Resale Listings Scraper",
        "description": "Scrapes live listings from RAGTAG Online (ragtag.jp), Japan's largest designer-resale chain. Returns brand, model, condition grade, JPY price, size, color, sold-out flag, and bilingual brand fields — ideal for JP→US/EU luxury arbitrage and cross-border resale price comparisons.",
        "version": "0.1",
        "x-build-id": "i1p1YsMgwg23UNtpp"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/jungle_synthesizer~ragtag-japan-designer-resale-listings-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-jungle_synthesizer-ragtag-japan-designer-resale-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/jungle_synthesizer~ragtag-japan-designer-resale-listings-scraper/runs": {
            "post": {
                "operationId": "runs-sync-jungle_synthesizer-ragtag-japan-designer-resale-listings-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/jungle_synthesizer~ragtag-japan-designer-resale-listings-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-jungle_synthesizer-ragtag-japan-designer-resale-listings-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "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 records to scrape"
                    },
                    "brand_id": {
                        "title": "Brand ID",
                        "type": "string",
                        "description": "Optional RAGTAG brand code (dBrId) to filter results — e.g. 01016 for BEAMS. Leave blank to scrape all brands."
                    },
                    "category_id": {
                        "title": "Category ID",
                        "type": "string",
                        "description": "Optional RAGTAG category code (cId) to filter results — e.g. FW5C for sneakers, SH2C for bags. Leave blank to scrape all categories."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```