# Mercari Japan Scraper β Listings, Prices & Sold Data (`logiover/mercari-japan-scraper`) Actor
Scrape Mercari Japan (mercari.jp) listings by keyword: price, condition, brand, status, seller, photos & more. Thousands per search. No login, no API key.
- **URL**: https://apify.com/logiover/mercari-japan-scraper.md
- **Developed by:** [Logiover](https://apify.com/logiover) (community)
- **Categories:** E-commerce, Business, Marketing
- **Stats:** 27 total users, 1 monthly users, 96.7% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $3.50 / 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.
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
## ποΈ Mercari Japan Scraper
#### Search Mercari Japan (mercari.jp) by keyword and pull every listing β price, condition, brand, status, seller & photos. No login.
**Point it at any keyword and pull the full Mercari Japan (γ‘γ«γ«γͺ) search result β title, price (JPY), condition, brand, sale status, seller and image URLs.**
The fast, no-API-key way to build Japanese resale & marketplace datasets at scale β for reseller arbitrage, sold-price research and market intelligence.
---
### π Overview
The **Mercari Japan Scraper** searches [mercari.jp](https://jp.mercari.com) β Japan's
largest consumer-to-consumer marketplace β for any list of **keywords** and returns
every matching listing as a clean record: **title, price in JPY, item condition,
brand, sale status, seller, category, timestamps and photo URLs**. It paginates each
search to pull **thousands of listings per keyword**.
It needs **no login, no cookies and no API key** β it reads only public search data
over residential proxies, so there's **zero account risk**. With **no headless
browser**, it's a **fast and low-cost** way to assemble large marketplace datasets.
> β
Add many keywords, set filters (price / condition / brand) and raise
> `maxItemsPerTerm` to build an **analysis-ready Mercari dataset** in one run.
---
### β¨ Features
| | Feature | Description |
|---|---|---|
| π¦ | **Thousands per search** | Token pagination walks the full public search result set. |
| π΄ | **Full pricing data** | Price in JPY, sale status (on sale / sold out) and timestamps. |
| π·οΈ | **Condition & brand** | Item condition, brand id + name, category and item type. |
| πΌοΈ | **Photos** | Thumbnail plus full photo URL array for every listing. |
| π€ | **Seller enrichment** | Optional `fetchDetails` adds description + seller ratings, score & items sold. |
| ποΈ | **Smart filters** | Filter by status, price range, category, brand and condition. |
| β‘ | **No browser** | Lightweight signed-API access β fast and cheap at scale. |
| π‘οΈ | **Login-free & safe** | No account, no cookies, no ban risk β public data only. |
| π€ | **Any format** | Export to JSON, CSV, Excel, HTML or pull via API & webhooks. |
---
### π― Who it's for
- **Resellers & arbitrage** β track prices, sold-out velocity and brands across Japan's biggest marketplace.
- **Market & pricing research** β benchmark resale prices for any product or brand.
- **Brand protection** β monitor counterfeit and grey-market listings.
- **Data science & ML** β build labelled product datasets for pricing, trend and demand models.
---
### π§Ύ Input
| Field | Type | Description |
|-------|------|-------------|
| `searchTerms` | array | **Required.** Keywords to search (`nintendo`, `pokemon card`, `supreme`). One search per term. |
| `status` | enum | `on_sale` (default), `sold_out`, or `all`. |
| `sort` | enum | `SORT_SCORE` (best match), `SORT_CREATED_TIME`, `SORT_PRICE`, `SORT_NUM_LIKES`. |
| `priceMin` / `priceMax` | integer | Price range filter in JPY. `0` = no bound. |
| `categoryId` / `brandId` / `itemConditionId` | array | Optional Mercari id filters. |
| `fetchDetails` | boolean | Also fetch full description + seller stats per item. Default `false`. |
| `maxItemsPerTerm` | integer | Cap per keyword. `0` = unlimited. |
| `maxResults` | integer | Global cap across all keywords. `0` = unlimited. |
| `proxyConfiguration` | object | Residential proxy (recommended). Pre-configured for you. |
#### Example input
```json
{
"searchTerms": ["nintendo", "pokemon card"],
"status": "on_sale",
"sort": "SORT_CREATED_TIME",
"priceMin": 1000,
"priceMax": 50000,
"fetchDetails": false,
"maxItemsPerTerm": 1000
}
````
***
### π¦ Output
Each listing is saved as one structured record:
```json
{
"id": "m12345678901",
"url": "https://jp.mercari.com/item/m12345678901",
"name": "Nintendo Switch ζ¬δ½ ζζ©ELγ’γγ« γγ―γ€γ",
"price": 32000,
"currency": "JPY",
"status": "STATUS_ON_SALE",
"itemConditionId": "2",
"categoryId": "1234",
"brandId": "5678",
"brandName": "Nintendo",
"sellerId": "987654321",
"itemType": "ITEM_TYPE_MERCARI",
"thumbnail": "https://static.mercdn.net/c!/w=240/thumb/photos/m12345678901_1.jpg",
"photos": ["https://static.mercdn.net/item/detail/orig/photos/m12345678901_1.jpg"],
"created": 1717400000,
"updated": 1717500000,
"searchTerm": "nintendo",
"scrapedAt": "2026-06-04T10:00:00.000Z"
}
```
With `fetchDetails: true`, each record also includes `description`, `sellerName`,
`sellerNumSellItems`, `sellerNumRatings` and `sellerScore`.
#### π Output field reference
| Field | Description |
|-------|-------------|
| `id` / `url` | Mercari item id and direct listing link |
| `name` | Listing title (Japanese) |
| `price` / `currency` | Price in JPY |
| `status` | `STATUS_ON_SALE` or `STATUS_SOLD_OUT` |
| `itemConditionId` | Mercari condition id (1 = new β¦ 6 = poor) |
| `brandId` / `brandName` | Brand id and name (when present) |
| `categoryId` / `itemType` | Mercari category and listing type |
| `sellerId` | Seller id |
| `thumbnail` / `thumbnails` / `photos` | Image URLs |
| `created` / `updated` | Listing timestamps |
| `description` / `seller*` | Added when `fetchDetails` is on |
***
### βοΈ How it works
1. You provide one or more **search keywords** and optional filters.
2. For each term the actor queries Mercari's public search API, signing every request
with a freshly generated **DPoP (ES256)** token β no account, no cookies.
3. It paginates with the result page token until the term is exhausted or your cap is hit.
4. Each item is parsed into a clean record; with `fetchDetails` it also pulls the full
description and seller stats, then streams results to the dataset.
No login, no cookies, no API keys β and **no Mercari account is ever used or risked**.
***
### β FAQ
Do I need a login, cookies or API key?
No β the actor signs its own DPoP tokens for the public search API. No account, no cookies, no developer key.
How many listings can I get per keyword?
Thousands β it paginates the full public search result set. Control depth with maxItemsPerTerm and maxResults.
Can I get sold-out (sold price) listings?
Yes β set status to sold_out to pull completed sales, or all for both.
Can I filter by price, brand or condition?
Yes β use priceMin/priceMax, brandId, categoryId and itemConditionId.
How do I get descriptions and seller ratings?
Turn on fetchDetails. It fetches each item's detail page for the full description and seller stats (ratings, score, items sold). It's slower, so combine it with a sensible cap.
Why residential proxies?
Mercari is served from Japan; residential proxies give the most reliable access. The default proxy config is set for you.
***
### π Works great with
- π **E-commerce price trackers** β feed Mercari prices into your pricing pipeline.
- πΌοΈ **Bulk image downloader** β pull the listing photos for cataloguing or ML.
***
**Mercari Scraper Β· Mercari Japan Scraper Β· γ‘γ«γ«γͺ γΉγ―γ¬γ€γγΌ Β· mercari.jp Scraper Β· Scrape Mercari Listings Β· Japan Marketplace Data Β· Resale Price Scraper Β· No-API-key Mercari data**
βοΈ Collects publicly available marketplace data only. You are responsible for compliance with Mercari's Terms and applicable laws, including bulk-access limits.
### π Changelog
#### 2026-06-05
- π‘οΈ Reliability fix: results are no longer dropped by strict output validation β runs now complete cleanly even at high volume (thousands of results).
- β‘ Stability & performance hardening; fresh rebuild.
#### 2026-06-04
- Verified live & refreshed build β reliability/maintenance pass.
# Actor input Schema
## `searchTerms` (type: `array`):
Keywords to search on Mercari Japan. One search is run per term. Examples: 'nintendo', 'pokemon card', 'supreme'.
## `status` (type: `string`):
Which listings to return: on sale only, sold out only, or all.
## `sort` (type: `string`):
Result ordering.
## `priceMin` (type: `integer`):
Minimum price filter in JPY. 0 = no minimum.
## `priceMax` (type: `integer`):
Maximum price filter in JPY. 0 = no maximum.
## `categoryId` (type: `array`):
Optional Mercari category IDs to restrict the search.
## `brandId` (type: `array`):
Optional Mercari brand IDs to restrict the search.
## `itemConditionId` (type: `array`):
Optional Mercari condition IDs (1=new ... 6=poor) to restrict the search.
## `fetchDetails` (type: `boolean`):
Also fetch each item's full description and seller stats (ratings, score, items sold). Slower but richer.
## `maxItemsPerTerm` (type: `integer`):
Cap on items collected per search term (paginated). 0 = unlimited.
## `maxResults` (type: `integer`):
Global cap on items saved across all terms. 0 = unlimited.
## `proxyConfiguration` (type: `object`):
Mercari is served from Japan; residential proxies give the most reliable access. Leave the default (Apify Proxy Β· RESIDENTIAL group).
## Actor input object example
```json
{
"searchTerms": [
"nintendo",
"pokemon"
],
"status": "on_sale",
"sort": "SORT_SCORE",
"priceMin": 0,
"priceMax": 0,
"fetchDetails": false,
"maxItemsPerTerm": 0,
"maxResults": 50,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
```
# Actor output Schema
## `searchTerm` (type: `string`):
Search term
## `name` (type: `string`):
Item title
## `price` (type: `string`):
Price (JPY)
## `status` (type: `string`):
Status
## `brandName` (type: `string`):
Brand
## `url` (type: `string`):
Item URL
# 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 = {
"searchTerms": [
"nintendo"
],
"maxResults": 50,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("logiover/mercari-japan-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`πΎ 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);
});
// π Want to learn more π? Go to β 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 = {
"searchTerms": ["nintendo"],
"maxResults": 50,
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
},
}
# Run the Actor and wait for it to finish
run = client.actor("logiover/mercari-japan-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchTerms": [
"nintendo"
],
"maxResults": 50,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}' |
apify call logiover/mercari-japan-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=logiover/mercari-japan-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Mercari Japan Scraper β Listings, Prices & Sold Data",
"description": "Scrape Mercari Japan (mercari.jp) listings by keyword: price, condition, brand, status, seller, photos & more. Thousands per search. No login, no API key.",
"version": "1.0",
"x-build-id": "9HB3QjVm2lZ8nejJI"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/logiover~mercari-japan-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-logiover-mercari-japan-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/logiover~mercari-japan-scraper/runs": {
"post": {
"operationId": "runs-sync-logiover-mercari-japan-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/logiover~mercari-japan-scraper/run-sync": {
"post": {
"operationId": "run-sync-logiover-mercari-japan-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"searchTerms"
],
"properties": {
"searchTerms": {
"title": "Search terms",
"type": "array",
"description": "Keywords to search on Mercari Japan. One search is run per term. Examples: 'nintendo', 'pokemon card', 'supreme'.",
"items": {
"type": "string"
}
},
"status": {
"title": "Listing status",
"enum": [
"on_sale",
"sold_out",
"all"
],
"type": "string",
"description": "Which listings to return: on sale only, sold out only, or all.",
"default": "on_sale"
},
"sort": {
"title": "Sort by",
"enum": [
"SORT_SCORE",
"SORT_CREATED_TIME",
"SORT_PRICE",
"SORT_NUM_LIKES"
],
"type": "string",
"description": "Result ordering.",
"default": "SORT_SCORE"
},
"priceMin": {
"title": "Min price (JPY)",
"minimum": 0,
"type": "integer",
"description": "Minimum price filter in JPY. 0 = no minimum.",
"default": 0
},
"priceMax": {
"title": "Max price (JPY)",
"minimum": 0,
"type": "integer",
"description": "Maximum price filter in JPY. 0 = no maximum.",
"default": 0
},
"categoryId": {
"title": "Category IDs",
"type": "array",
"description": "Optional Mercari category IDs to restrict the search.",
"items": {
"type": "string"
}
},
"brandId": {
"title": "Brand IDs",
"type": "array",
"description": "Optional Mercari brand IDs to restrict the search.",
"items": {
"type": "string"
}
},
"itemConditionId": {
"title": "Item condition IDs",
"type": "array",
"description": "Optional Mercari condition IDs (1=new ... 6=poor) to restrict the search.",
"items": {
"type": "string"
}
},
"fetchDetails": {
"title": "Fetch item details",
"type": "boolean",
"description": "Also fetch each item's full description and seller stats (ratings, score, items sold). Slower but richer.",
"default": false
},
"maxItemsPerTerm": {
"title": "Max items per term",
"minimum": 0,
"type": "integer",
"description": "Cap on items collected per search term (paginated). 0 = unlimited.",
"default": 0
},
"maxResults": {
"title": "Max results",
"minimum": 0,
"type": "integer",
"description": "Global cap on items saved across all terms. 0 = unlimited.",
"default": 0
},
"proxyConfiguration": {
"title": "Proxy",
"type": "object",
"description": "Mercari is served from Japan; residential proxies give the most reliable access. Leave the default (Apify Proxy Β· RESIDENTIAL group).",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```