jp-mercari-scraper

メルカリ Scraper

Thunderbit's AI-powered メルカリ scraper lets you extract product listings and detailed item information from Japan's largest marketplace. Scrape product names, prices, seller details, images, and more in just a few clicks, and export your data to Excel, Google Sheets, Airtable, or Notion.
4.9
Monthly users14.3k
AI-Powered
E-commerce
chrome-web-store
Install fromChrome Web Store
Free tier available

Thunderbit’s AI-powered メルカリ (Mercari) Scraper is the fastest way to extract product listings and detailed item information from Japan’s largest marketplace. With just a few clicks, you can use AI to structure and export data—like product names, prices, seller details, and images—directly to Excel, Google Sheets, Airtable, or Notion.

🛍️ What is メルカリ Scraper

The by is an AI Web Scraper designed to help you collect data from the Mercari marketplace with minimal effort. By leveraging Thunderbit’s Chrome Extension, you simply navigate to any Mercari page, click AI Suggest Columns, and then Scrape to instantly extract structured data. The AI reads the page, identifies relevant fields, and organizes everything for easy export—no coding or manual copy-pasting required.

メルカリ Website Screenshot

🔍 What can you scrape with メルカリ Scraper

Thunderbit’s AI-powered scraper is perfect for extracting both product listings and detailed item information from Mercari. Whether you’re tracking prices, monitoring inventory, or analyzing seller activity, Thunderbit makes it simple.

Scrape Mercari Product Listing Page

You can extract all product listings from a , including product names, prices, images, and more. This is ideal for market research, price monitoring, or building your own product database.

Mercari Listing Page Screenshot

Steps:

  1. Download the and register an account.
  2. Go to the destination page, for example: .
  3. Click AI Suggest Columns, which recommends column names.
  4. Click Scrape to run the scraper, get data, and download the file.

Column names

ColumnDescription
🏷️ Product NameThe name of the product listed on Mercari.
💴 PriceThe listed price of the product.
🖼️ Product ImageThe main image of the product.
🔗 Product URLDirect link to the product’s detail page.
🏪 Seller NameThe username of the seller.
📅 Listing DateThe date the product was listed.
📦 Product ConditionThe condition of the item (e.g., new, used).
🏷️ CategoryThe product category assigned by Mercari.

Scrape Mercari Product Details Page

Dive deeper by extracting detailed information from a . This is perfect for e-commerce analytics, competitor research, or inventory management.

Mercari Detail Page Screenshot

Steps:

  1. Download the and register an account.
  2. Go to the destination page, for example: .
  3. Click AI Suggest Columns, which recommends column names.
  4. Click Scrape to run the scraper, get data, and download the file.

Column names

ColumnDescription
🏷️ Product NameThe name of the product.
💴 PriceThe price at which the product is listed.
🖼️ Product ImagesAll images associated with the product.
📝 DescriptionThe full product description provided by the seller.
🏪 Seller NameThe username of the seller.
📦 Product ConditionThe condition of the item (e.g., new, used).
🏷️ CategoryThe product category.
📍 Shipping AreaThe location from which the product will be shipped.
🚚 Shipping FeeInformation about who pays the shipping fee.
📅 Listing DateThe date the product was listed.
🔗 Product URLDirect link to the product’s detail page.

💡 Why Use メルカリ Scraper Tool

Scraping data from Mercari opens up a world of possibilities for different professionals:

  • E-commerce Sellers: Monitor competitor prices, track inventory, and analyze product trends.
  • Market Researchers: Collect large datasets for price analysis, demand forecasting, and consumer behavior studies.
  • Resellers & Arbitrageurs: Identify profitable products and track market fluctuations.
  • Developers & Data Analysts: Build custom dashboards, automate reporting, or feed data into machine learning models.
  • Real Estate & Collectibles Experts: Track niche categories, rare items, or regional trends.

Thunderbit’s AI-powered approach means you don’t have to worry about changing page layouts or manual data entry. The AI adapts to the site structure, ensuring accurate and up-to-date data every time.

🧩 How to Use メルカリ Chrome Extension

  1. Install the Thunderbit Chrome Extension: Download the and register your account.
  2. Navigate to メルカリ Listing or Product Page: Go to any or .
  3. Activate AI-Powered Scraper: Click AI Suggest Columns to generate column names or customize columns to meet your needs.
  4. Click Scrape: Let Thunderbit’s AI extract and structure the data, then export to Excel, Google Sheets, Airtable, or Notion.

For a step-by-step guide, check out and .

💸 Pricing for メルカリ Scraper

Thunderbit uses a credit-based system:

  • 1 credit = 1 output row (e.g., 1 product listing or 1 product detail).
  • Free Plan: Scrape up to 6 pages per month at no cost.
  • Free Trial: Scrape up to 10 pages for free when you start a trial—no payment required.
  • Paid Plans: Start at just $15/month for 500 credits, with significant discounts on yearly plans (as low as $9/month when billed annually).
TierMonthly PriceYearly Price (per month)Yearly TotalCredits/MonthCredits/Year
FreeFreeFreeFree6 pagesN/A
Starter$15$9$1085005,000
Pro 1$38$16.5$1993,00030,000
Pro 2$75$33.8$3986,00060,000
Pro 3$125$68.4$79610,000120,000
Pro 4$249$137.5$1,59220,000240,000

Tip: The yearly plan offers the best value—perfect for regular users or businesses needing large-scale data extraction.
See full details on the .

❓ FAQ

  1. What is the AI Powered メルカリ Scraper?
    The AI Powered メルカリ Scraper is a tool built into the Thunderbit Chrome Extension that uses artificial intelligence to extract structured data from Mercari’s website. It reads product listings and detail pages, then organizes the information into columns for easy export and analysis.

  2. What is Thunderbit?
    Thunderbit is an AI web scraping platform and Chrome Extension that helps you automate data extraction from any website. It’s designed for business users, researchers, and anyone who needs to collect web data quickly and accurately—no coding required. Learn more at the .

  3. How do I get started with the メルカリ Scraper?
    Simply install the , register for an account, and navigate to any Mercari page. Click AI Suggest Columns and then Scrape to start extracting data.

  4. What data can I extract from Mercari?
    You can extract product names, prices, images, seller information, product condition, categories, shipping details, and more. The AI automatically detects relevant fields, and you can customize columns as needed.

  5. Can I export the scraped data to Excel or Google Sheets?
    Yes, Thunderbit lets you export your data directly to Excel, Google Sheets, Airtable, or Notion. You can also download your data as CSV or JSON files for further analysis.

  6. Is there a limit to how many pages I can scrape?
    On the Free Plan, you can scrape up to 6 pages per month. With a free trial, you get 10 pages. Paid plans offer higher monthly or yearly credit limits, making it easy to scale up as your needs grow.

  7. Does Thunderbit support subpage and pagination scraping on Mercari?
    Absolutely. Thunderbit’s AI can follow links to subpages (like product details) and handle pagination, so you can extract data from multiple pages or entire categories with minimal setup.

  8. Is it safe and legal to scrape data from Mercari?
    Thunderbit is designed to respect website terms and user privacy. Always ensure your use of scraped data complies with Mercari’s terms of service and local regulations. For more on ethical scraping, see .

  9. What if the website layout changes?
    Thunderbit’s AI adapts to layout changes automatically, so you don’t have to worry about broken scrapers or manual updates. The AI reads the page fresh each time, ensuring your data extraction remains accurate.

📚 Learn More

Ready to start scraping Mercari?
and unlock the power of AI-driven data extraction today.

Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
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