Mercari Scraper - US Listings, Prices & Resale Data
Pricing
from $1.50 / 1,000 listing-scrapeds
Mercari Scraper - US Listings, Prices & Resale Data
Scrape Mercari US listings and prices - search by keyword. Structured JSON with price, brand, size, condition and images. Runs with defaults, MCP-ready.
Pricing
from $1.50 / 1,000 listing-scrapeds
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Quine Quine
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3 days ago
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Mercari Scraper: US Listings, Prices & Resale Data
Scrape Mercari US listings and prices in one run. Built for resellers, price comparison, and market research: fast, reliable, and returned as clean structured JSON. Runs with defaults and works as an MCP tool for AI agents.
What it does
Give it a search term (or leave it empty for the newest listings) and it scrapes Mercari's US marketplace. Every listing comes back as a structured record you can build on:
- US resale price data at scale on one of the largest US consumer second-hand markets
- Search by keyword or pull the newest listings
- Discount signal: surfaces the real was-price on marked-down items (~46% of listings carry a discount)
- Reliable through Mercari's Cloudflare anti-bot protection
- Stable JSON schema: safe to depend on in code and pipelines
- Runs with defaults and MCP-ready: AI agents can discover and call it as a tool
Input
| Field | Type | Default | Description |
|---|---|---|---|
query | string | "" | Search term. Empty = newest listings. |
countries | array | ["us"] | Marketplace region. Mercari runs on US / USD. |
maxItems | integer | 100 | Max listings returned. |
filters | object | {} | Optional filters: category, brand, condition, price_min, price_max. |
proxyConfiguration | object | required | US residential proxy. Mercari is Cloudflare-gated, so a US residential proxy is required. |
Example input
{"query": "nike","maxItems": 100,"filters": {}}
Output
Each item is one dataset record:
{"id": "m12345678901","url": "https://www.mercari.com/us/item/m12345678901/","title": "Nike hoodie","price": { "amount": 20.9, "currency": "USD" },"originalPrice": { "amount": 35.0, "currency": "USD" },"brand": "Nike","size": "M","condition": "Good","category": "Athletic","country": "us","images": ["https://static.mercdn.net/item/detail/orig/photos/....jpg"],"listedAt": "2026-06-22T00:00:00+00:00","isPromoted": true,"status": "on_sale","scrapedAt": "2026-07-10T12:00:00+00:00"}
Optional fields (like originalPrice) appear only when present on the listing.
originalPriceappears only on marked-down items: a real was-price. Roughly 46% of listings carry a discount.statusis availability:on_saleortrading.isPromotedflags seller-boosted listings.listedAtis derived from the primary photo timestamp, so it is an approximate list time.
Use cases
- Reseller sourcing: find underpriced and discounted listings to flip
- Price monitoring: track prices for brands, categories, or conditions over time
- Market research: supply, pricing, and brand trends on a major US resale marketplace
- AI agents: a reliable data tool an agent can call to answer "what does X sell for on Mercari?"
Pricing
Pay per result: you are charged per listing returned, so you only pay for data you actually get. See the exact per-event price on this Actor's page.
Fair use & privacy
Reads public listings only: no login and no buyer or seller account cookies. Personal seller profiles are not collected: the output contains listing data, not people.