AI-Powered Web Scraping

Mercari Scraper

Extract Mercari item names, prices, conditions, and descriptions in 2 clicks — then export to Excel, Google Sheets, or Notion instantly. No coding needed.

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A quick playground: Try it yourself.

Unlock Mercari data with Thunderbit

Point, click, extract Mercari listings

Point at any Mercari listing and Thunderbit's AI instantly identifies the fields — item name, price, condition, and description — without any setup. When Mercari updates its layout, Thunderbit adapts automatically. No broken selectors, no maintenance headaches.

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All your Mercari finds in one spreadsheet

Stop copying and pasting Mercari listings one by one. With one click, Thunderbit exports your scraped data — item details, categories, prices, and more — directly to Google Sheets, Notion, or Airtable. Your data lands exactly where you need it, ready to sort and analyze.

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Stop building scrapers. start extracting faster

Teams choose Thunderbit when they need one tool that handles everything. Instead of maintaining custom scrapers for each marketplace, use Thunderbit's 50+ built-in templates or point-and-click on any website. Extract listings from Mercari today — and apply the same workflow to any other site tomorrow.

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Why is Thunderbit different from traditional Mercari scrapers?

Thunderbit adapts to Mercari's layout changes and extracts data with unmatched ease.

Traditional scrapers

The old way of doing things
Mercari's frequent layout changes break CSS selectors, requiring constant maintenance.
Product details buried on subpages are often missed, leaving your data incomplete.
Pagination varies across categories, making it hard to reliably scrape multiple pages.
Inconsistent condition descriptions require manual cleanup after every export.
Extracting data from product images or handwritten notes is not possible.
The AI Advantage

Thunderbit AI

The smarter approach
Semantic AI understands page elements by meaning — not selectors — so Mercari layout changes never break your scraper.
AI automatically visits each linked subpage to pull complete listing details and appends them as new columns.
Auto-pagination navigates through multiple Mercari search result pages without any configuration.
Built-in data cleaning normalizes inconsistent condition labels into structured columns on the fly.
Thunderbit reads text from product images and PDFs, so no listing detail gets left behind.

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Frequently asked questions

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