Mercari Listings Scraper

What does it do?

Mercari Listings Scraper extracts product listings from Mercari, one of the largest secondhand marketplaces in the US and Japan. It searches by keyword and collects listing details including titles, prices, conditions, seller information, likes count, shipping details, and images. The scraper handles pagination automatically to collect large datasets.

Why use this scraper?

Mercari is a popular marketplace for buying and selling pre-owned items, with millions of active listings. This scraper enables you to gather structured data for market research, pricing analysis, resale opportunities, and competitive intelligence. Whether you are a reseller tracking prices, a market researcher studying secondhand trends, or a data analyst building pricing models, this tool provides the structured data you need.

How to use

1. Navigate to the Mercari Listings Scraper on Apify.
2. Enter your search keywords in the input configuration.
3. Set the maximum number of listings to scrape per keyword.
4. Click "Start" and wait for the scraper to finish.
5. Download your results in JSON, CSV, or Excel format.

You can also integrate this scraper with your workflows via the Apify API for scheduled or automated data collection.

Input configuration

Parameter	Type	Description
keywords	Array	Search terms to look for on Mercari (default: nintendo switch, vintage clothing)
maxListings	Integer	Maximum listings per keyword (default: 200)
proxyConfig	Object	Proxy settings for the scraper

Output data

The scraper outputs a dataset with the following fields for each listing:

{
  "title": "Nintendo Switch OLED - White",
  "price": "$249.00",
  "condition": "Like new",
  "seller": "gamer_reseller",
  "likes": 12,
  "shipping": "Free shipping",
  "image": "https://static-mercari-jp-imgtr2.akamaized.net/...",
  "url": "https://www.mercari.com/us/item/m12345/",
  "keyword": "nintendo switch",
  "scrapedAt": "2026-02-19T10:00:00.000Z"
}

Cost of usage

This scraper uses Cheerio and runs on lightweight instances. Expect approximately $0.75 per 1,000 listings scraped with Apify proxy. Actual costs vary based on the number of keywords and proxy usage. The lightweight Cheerio crawler keeps costs minimal compared to browser-based alternatives.

Tips

• Start with specific keywords for more relevant results.
• Use the maxListings parameter to control costs and data volume.
• Schedule regular runs to track price trends over time.
• Combine with data analysis tools to identify underpriced items.
• The scraper handles anti-bot measures with automatic retries.
• Results include the original keyword for easy filtering across multiple searches.
• For best results, run during off-peak hours to minimize rate limiting.

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Built with Crawlee and Apify SDK. See more scrapers by consummate_mandala on Apify Store.