# Mercari Search Scraper 2026 (`devcake/mercari-search-scraper`) Actor
Scrape Mercari.com search results โ items, prices, brands, conditions, and more.
- **URL**: https://apify.com/devcake/mercari-search-scraper.md
- **Developed by:** [devcake](https://apify.com/devcake) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.50 / 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
## ๐ Mercari Japan Product Scraper ๐
Scrape Mercari Japan search results โ items, prices, brands, conditions, and more. Export to CSV, JSON, or Excel. No coding needed! ๐
---
### ๐ฆ What It Does ๐๏ธ
Mercari Japan is one of the world's largest peer-to-peer marketplaces ๐ช. This scraper lets you search Mercari and collect product data โ instantly โก
Enter one or more search queries, set how many results to collect ๐, and download the data ๐พ. No browser automation required โ pure HTTP with TLS fingerprint bypass ๐
---
### ๐ฅ Who It's For ๐ผ
- **Resellers** ๐ โ Track market prices before sourcing items
- **Dropshippers** ๐ฆ โ Build product lists from Japan's largest marketplace
- **Market researchers** ๐ โ Analyze brands, categories, and pricing trends
- **Sourcing agents** ๐ค โ Monitor availability across thousands of listings
---
### ๐ Data You Get ๐ฐ
| Field | Description |
|-------|-------------|
| ๐ id | Unique listing identifier |
| ๐ name | Product title |
| โ
status | Available / Sold / Reserved |
| ๐ด price | Current asking price in JPY |
| ๐ท๏ธ originalPrice | Listed original price |
| ๐ discountPercent | Price drop percentage |
| ๐ธ photoUrl | Full-size product image |
| ๐ผ๏ธ thumbnailUrl | Thumbnail image |
| ๐ท๏ธ brand | Brand name |
| ๐ฑ itemCondition | New / Like New / Good / Fair / Poor |
| ๐๏ธ categoryTitle | Top-level category |
| ๐ฑ categoryPath | Full category hierarchy |
| ๐ค sellerId | Seller identifier |
| ๐ countrySource | Country of sale |
| ๐ description | Item description text |
| ๐ query | Search query that found this item |
---
### ๐ก Use Cases ๐ฅ
#### ๐ฐ Monitor pricing trends
Track how sellers price electronics ๐ฑ, fashion ๐, and collectibles ๐ฎ over time. See original price vs asking price to spot underpriced items before anyone else!
#### ๐ Build product lists for resale
Collect listings into a spreadsheet to share with your team ๐ค or import into your store ๐ช. Up to 1,000 results per query!
#### ๐ท๏ธ Research brand and category popularity
See what brands ๐
, categories ๐, and products are active on Mercari at any moment โฐ. Filter by condition to focus on like-new items โจ
---
### ๐ Quick Start โก
1๏ธโฃ **Add your searches** ๐ฌ โ Enter one or more products to search, one per line
2๏ธโฃ **Set filters** โ๏ธ โ Choose max items per query and sort order
3๏ธโฃ **Run and download** ๐ฅ โ Get your data as CSV, JSON, or Excel
---
### โ๏ธ Input Parameters ๐
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| queries | array | โ
Yes | Search queries โ one product per line |
| maxItemsPerQuery | integer | โ No | Max results per query (default: 50, max: 1,000) |
| sortBy | string | โ No | Sort order: best_match, newest, price_low, price_high |
---
### ๐ Example ๐ป
#### Input ๐ง
```json
{
"queries": ["iphone 15 pro", "macbook air m3"],
"maxItemsPerQuery": 10,
"sortBy": "best_match"
}
````
#### Output ๐ค
```json
[
{
"id": "m123456789",
"name": "iPhone 15 Pro 256GB ใใใฅใฉใซใใฟใใฆใ ",
"status": "available",
"price": 150000,
"originalPrice": 189800,
"discountPercent": 21.0,
"photoUrl": "https://static.mercdn.net/item/detail/original/img.jpg",
"brand": "Apple",
"itemCondition": "Like New",
"categoryTitle": "ในใใผใใใฉใณ",
"categoryPath": ["ใซใใดใชใผ", "ในใใผใใใฉใณ", "iPhone"],
"query": "iphone 15 pro"
}
]
```
***
๐ Ready to find Mercari products?
Enter your first search and click Run! ๐
# Actor input Schema
## `queries` (type: `array`):
What to search for
## `fetchDetails` (type: `boolean`):
Fetch full item detail page for each listing to enrich with timestamps, likes, seller stats, and shipping location. Adds ~1 API call per item (slower but richer data).
## `maxItemsPerQuery` (type: `integer`):
How many listings to collect per search
## `sortBy` (type: `string`):
How listings are ordered
## `proxyConfig` (type: `object`):
Configure proxy servers for reliability
## Actor input object example
```json
{
"queries": [
"Bicycle"
],
"fetchDetails": false,
"maxItemsPerQuery": 50,
"sortBy": "best_match"
}
```
# Actor output Schema
## `dataset` (type: `string`):
Complete scraped dataset with all item fields
## `overview` (type: `string`):
Table view with key fields: ID, title, price, condition, brand
## `summary` (type: `string`):
Statistics: total items scraped, queries run, runtime, errors
# 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 = {
"queries": [
"Bicycle"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("devcake/mercari-search-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 = { "queries": ["Bicycle"] }
# Run the Actor and wait for it to finish
run = client.actor("devcake/mercari-search-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"queries": [
"Bicycle"
]
}' |
apify call devcake/mercari-search-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=devcake/mercari-search-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Mercari Search Scraper 2026",
"description": "Scrape Mercari.com search results โ items, prices, brands, conditions, and more.",
"version": "1.0",
"x-build-id": "baUZD12q9wWOHubYx"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/devcake~mercari-search-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-devcake-mercari-search-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/devcake~mercari-search-scraper/runs": {
"post": {
"operationId": "runs-sync-devcake-mercari-search-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/devcake~mercari-search-scraper/run-sync": {
"post": {
"operationId": "run-sync-devcake-mercari-search-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"queries"
],
"properties": {
"queries": {
"title": "Search Queries",
"type": "array",
"description": "What to search for",
"items": {
"type": "string"
}
},
"fetchDetails": {
"title": "Fetch item details",
"type": "boolean",
"description": "Fetch full item detail page for each listing to enrich with timestamps, likes, seller stats, and shipping location. Adds ~1 API call per item (slower but richer data).",
"default": false
},
"maxItemsPerQuery": {
"title": "Max items per query",
"minimum": 30,
"maximum": 1000,
"type": "integer",
"description": "How many listings to collect per search",
"default": 50
},
"sortBy": {
"title": "Sort order",
"enum": [
"best_match",
"newest",
"price_low",
"price_high"
],
"type": "string",
"description": "How listings are ordered",
"default": "best_match"
},
"proxyConfig": {
"title": "Proxy configuration",
"type": "object",
"description": "Configure proxy servers for reliability"
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```