# Mercari US Sold & Active Listings Scraper (`malek_oweis/mercari-sold-listings-scraper`) Actor

Search Mercari US and get sold comps or active listings: price, original price, condition, brand, category, size and listing date, plus a sold-price summary (avg, median, min, max) per search. Filters for price and condition. No login.

- **URL**: https://apify.com/malek_oweis/mercari-sold-listings-scraper.md
- **Developed by:** [Malek Oweis](https://apify.com/malek_oweis) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 listings

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Mercari US Sold & Active Listings Scraper

**Find out what things actually sell for on Mercari.** Search Mercari US and get sold listings (price comps) or items for sale right now, one row per listing, plus a ready-made **sold-price summary** for every search: average, median, min and max.

Fast and reliable: it uses the same search call the mercari.com website makes, so a 100-item search finishes in seconds. **No login, no cookies, no browser setup from you.**

### What you get per listing

| Field | Meaning |
|---|---|
| `title`, `url`, `itemId` | The listing and its Mercari link |
| `status` | `sold` or `on_sale` |
| `price` | Sold price (sold listings) or current asking price |
| `originalPrice` / `priceDropPct` | First listed price and how far the seller dropped it |
| `condition` | New, Like new, Good, Fair or Poor |
| `brand`, `category`, `categoryPath` | e.g. `Electronics > Video games & consoles > Games` |
| `size`, `color` | When the seller set them |
| `listedAt` | When the item was listed |
| `imageUrl`, `sellerId` | First photo and seller id |

### Sold-price summary

Every search also writes a `SEARCH_SUMMARY` record:

```json
{
  "source": "pokemon booster box",
  "itemsScraped": 50,
  "totalMatchesOnMercari": 662,
  "soldPrices": { "count": 50, "avg": 82.58, "median": 69, "min": 4.78, "max": 250 },
  "activePrices": { "count": 0, "avg": null, "median": null, "min": null, "max": null }
}
```

### Input

```json
{
  "queries": ["nintendo switch oled", "pokemon booster box"],
  "status": "sold",
  "maxItemsPerSearch": 50,
  "sortBy": "auto",
  "minPrice": 20,
  "maxPrice": 300,
  "conditions": ["new", "like_new"]
}
```

- `queries`: keywords to search on Mercari US.
- `status`: `sold` (default, price comps), `on_sale` (for sale now) or `all`.
- `maxItemsPerSearch`: listings per search. `0` = as many as Mercari shows.
- `sortBy`: `auto` (recently sold for sold listings, best match otherwise), `recently_sold`, `newest`, `price_low`, `price_high`, `best_match`.
- `minPrice` / `maxPrice`: price range in USD.
- `conditions`: any of `new`, `like_new`, `good`, `fair`, `poor`.
- `searchUrls` (advanced): paste mercari.com search URLs. Keyword, status and sort are read from the URL.

#### Example row

```json
{
  "source": "nintendo switch",
  "itemId": "m43857781252",
  "url": "https://www.mercari.com/us/item/m43857781252/",
  "title": "Nintendo Switch 2 Pro Controller",
  "status": "sold",
  "price": 50,
  "originalPrice": 62.5,
  "priceDropPct": 20,
  "condition": "Like new",
  "brand": "Nintendo",
  "category": "Accessories",
  "categoryPath": "Electronics > Video games & consoles > Accessories",
  "size": null,
  "listedAt": "2026-10-09T21:29:34+00:00",
  "imageUrl": "https://u-mercari-images.mercdn.net/photos/m43857781252_1.jpg",
  "sellerId": 314654686
}
```

### Use cases

- **Reseller price comps**: what did this item really sell for, in this condition, lately?
- **Sourcing**: compare the sold median with items for sale now to spot underpriced listings
- **Listing your own items**: price at the sold median instead of guessing
- **Price drop tracking**: `priceDropPct` shows how much sellers had to cut to sell
- **Market research**: export a category's sold history to see what moves and at what price

### FAQ

**How many results can I get?**
Mercari shows up to about 1,000 listings per search (about 2,000 for some sold searches).
For more, split one search into price ranges with `minPrice` / `maxPrice`.

**Is this Mercari Japan?**
No, this is **Mercari US** (mercari.com).

**Do I need a Mercari account?**
No. It uses the same guest access any logged-out visitor gets.

**Does it get the exact date an item sold?**
Mercari doesn't show sold dates publicly. Sorting by `recently_sold` returns the most recent sales first, and `listedAt` gives the listing date.

**Is this allowed?**
It reads only public search results, the same any visitor sees. It never logs in and never
touches account, order or buyer data. Respect Mercari's terms and your local laws.

### Use it from an AI agent

This Actor is available as a tool over Apify's MCP server, so an AI agent (Claude, ChatGPT or
any MCP client) can call it directly to pull Mercari sold comps into a conversation or workflow.

# Actor input Schema

## `queries` (type: `array`):

Keywords to search on Mercari US, e.g. "nintendo switch", "lululemon align", "pokemon booster box".

## `status` (type: `string`):

'sold' = sold listings (price comps). 'on_sale' = items for sale now. 'all' = both.

## `maxItemsPerSearch` (type: `integer`):

Stop after this many listings for each search term or URL. Set 0 for no limit (Mercari shows up to about 2,000 sold listings per search).

## `sortBy` (type: `string`):

'auto' = recently sold for sold listings, best match otherwise.

## `minPrice` (type: `integer`):

Only listings at or above this price.

## `maxPrice` (type: `integer`):

Only listings at or below this price.

## `conditions` (type: `array`):

Only these conditions. Leave empty for all.

## `searchUrls` (type: `array`):

Optional: mercari.com search URLs (https://www.mercari.com/search/?keyword=...). Keyword, status and sort are read from the URL.

## `searchQueryHash` (type: `string`):

Leave empty. Only used if Mercari changes its site and support gives you a new id.

## `proxyConfiguration` (type: `object`):

The default - Apify Unblocker - is required. Only change this if you know what you are doing.

## Actor input object example

```json
{
  "queries": [
    "nintendo switch oled",
    "lululemon align leggings"
  ],
  "status": "sold",
  "maxItemsPerSearch": 50,
  "sortBy": "auto",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "UNBLOCKER"
    ]
  }
}
```

# Actor output Schema

## `listings` (type: `string`):

One row per listing: price, original price, status, condition, brand, category, size, listing date, image and URL.

## `searchSummary` (type: `string`):

Per search: items scraped, total matches on Mercari, and sold / active price stats (count, average, median, min, max).

## `overview` (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 = {
    "queries": [
        "nintendo switch"
    ],
    "maxItemsPerSearch": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("malek_oweis/mercari-sold-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 = {
    "queries": ["nintendo switch"],
    "maxItemsPerSearch": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("malek_oweis/mercari-sold-listings-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "queries": [
    "nintendo switch"
  ],
  "maxItemsPerSearch": 50
}' |
apify call malek_oweis/mercari-sold-listings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,malek_oweis/mercari-sold-listings-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/XdgGj0Z1zymjITvYM/builds/mOcaZWtfCkFCu1O08/openapi.json