Extract Brand, Size, and Price from Vinted and Mercari Screenshots
Manually copying brand, size, and price from fashion marketplace screenshots takes a minute per item — this pulls all structured fields in under 10 seconds per screenshot, across EU, US, and JP markets.
5-10s per screenshot · Up to 99% accuracy on printed text
Six Fields You Can Pull from Any Vinted or Mercari Screenshot
Vinted and Mercari render brand, size, and condition as labeled chips — not flowing prose. With Custom Column Extraction, the AI identifies each field by its visual role.
The product title — typically the boldest text in the listing card header.
The brand tag rendered as a labeled chip — Nike, Zara, Uniqlo — distinct from the item title.
The size badge — captures the full label including dual sizing like "M / US 8-10" on Vinted.
The asking amount — distinct from the Buyer Protection surcharge shown beneath it on Vinted.
The condition label — "New with tags", "Very good", "Used" — shown as a badge on both platforms.
"Available", "Sold", "Bumped", or "Reserved" — read from overlay badges that don't obscure underlying data.
Type these as column names. The AI reads each field by card structure across Vinted and Mercari layouts.
Brand and Size Are Sold in Dropdowns, Not Text Blocks — Why That Breaks Standard Extraction
eBay and Facebook Marketplace render listing data as flowing text. Vinted and Mercari render brand, size, and condition as UI chips — structured tags that traditional OCR treats as disconnected tokens. Resellers on Reddit managing cross-platform inventory describe the reality: "I want to get organized for tax reporting and I'm trying to figure out the best way to track" — the data is in screenshots, but scrapers only read live pages.
Why Fashion Marketplace Screenshots Break Scrapers
Brand and size are rendered as UI chips, not text. Vinted shows "Nike" inside a labeled brand tag and "M / US 8-10" inside a size badge. Traditional OCR reads each chip as disconnected text — it has no way to know "Nike" is the brand and "M" is the size without relational context.
EU, US, and JP sizing all look different on screen. Vinted uses EU alpha sizes with US numeric equivalents in parens. Mercari US uses single-letter sizes. Mercari Japan uses numeric JP sizing. A scraper built for one market produces garbage in another.
Web scrapers get blocked; screenshots can't be blocked. Vinted uses Datadome anti-bot detection that blocks scraping tools after a few hundred requests. Screenshot extraction makes zero network requests to Vinted's servers — no rate limits, no CAPTCHAs, no proxy rotation.
How Semantic Extraction Reads Metadata Chips
Name the fields — the AI reads by visual role, not text position. Type Brand, Size, Condition. The visual model identifies branded chips, size badges, and condition labels by their card position and styling, not by parsing text. "Nike" inside a blue brand tag maps to Brand; "M / US 8-10" inside a rounded badge maps to Size.
One column set works across EU, US, and JP layouts. A Vinted FR screenshot with "M / US 8-10" dual sizing and a Mercari US screenshot with "L" single sizing both feed into the same Size column. The AI reads each badge as displayed — no market-specific configuration needed.
Overlays are read through, not around. "Sold" and "Bumped" badges are semi-transparent overlays. The AI captures the listing status from the badge AND reads the underlying Item Name, Price, and Size from the listing card beneath it — no data lost behind the overlay.
From Mixed Vinted and Mercari Screenshots to One Structured Inventory Sheet
Whether you are cross-listing items across platforms, tracking sold inventory for tax reporting, or monitoring competitor pricing, here is how the extraction workflow consolidates screenshots from both marketplaces into a single spreadsheet.
Upload Screenshots from Both Marketplaces
Drop in Vinted app cards and Mercari listing pages from your gallery — mixed in any order. PNG, JPG, or WebP captures from EU, US, or JP market versions. Include a Platform column to tag each row with its source marketplace for cross-platform filtering later.
Define the Fields You Need
Type your inventory columns: Item Name, Brand, Size, Price, Condition, Listing Status, Platform. The AI reads a Vinted card — Brand from the labeled chip, Size from the dual-sizing badge — and a Mercari card — Brand from the seller-assigned tag, Size from the single-letter badge — using the same column definitions across both.
Export a Consolidated Inventory Spreadsheet
Processing takes 5-10 seconds per screenshot — about 18x faster than opening each image and typing brand, size, and price manually. The output is one XLSX or CSV with every row tagged by platform. Filter by Platform to compare Vinted vs Mercari pricing. Filter by Status to see active versus sold items. Sort by Price to prioritize high-value inventory.
When It Works Best — and When to Be Cautious
When It Works Best
Full-resolution native screenshots of listing detail pages. High-contrast, machine-rendered text from the Vinted or Mercari app reaches up to 99% accuracy for fields like Price, Brand, and Size.
Mixed market screenshots in one batch. Vinted EU cards with dual sizing and Mercari US cards with single sizing processed together with one column definition — the AI adapts to each layout independently.
Clean screenshots where the listing card is the main visual focus. When the listing occupies most of the frame, the AI isolates Brand and Size chips from surrounding UI elements like navigation bars and recommendations.
When to Be Cautious
Screenshots forwarded through messaging apps. WhatsApp and Messenger compress images, which can reduce accuracy for smaller text like Size badges and Condition labels. Use native screenshots for best results.
Search results with multiple listing cards. The AI reads the most visually prominent card. For clean per-item extraction, capture each listing individually.
Photos of a screen taken at an angle. Glare and distortion reduce accuracy. Capture native screenshots on your phone or computer rather than photographing a monitor.
Frequently Asked Questions
Can I extract both the listing price and the Buyer Protection fee from a Vinted screenshot?
Yes. Vinted shows the base asking price in bold and the Buyer Protection surcharge in smaller text beneath it ("$12.00 · $13.30 includes Buyer Protection"). Define separate columns for Price and Buyer Protection Fee — the AI reads both values from their distinct visual positions. You can also add a computed column to calculate the total the buyer pays.
Vinted shows size as "M / US 8-10" — will the Size column capture both the EU and US values?
Yes. The AI captures the full size label exactly as displayed on the screenshot. If Vinted shows "M / US 8-10", the Size column contains "M / US 8-10" — both values in one field. If Mercari US shows "L" or Mercari Japan shows "M", the column contains whatever the listing displays. This means EU dual sizing, US single-letter sizing, and JP numeric sizing all land in the same structured column without any configuration change.
Can I process Vinted and Mercari screenshots in the same batch?
Yes. Define one set of column names — Item Name, Brand, Size, Price, Condition, Platform — and upload screenshots from both apps into the same batch. The AI reads each screenshot independently: a Vinted listing card with Brand in a labeled chip and a Mercari listing page with Brand in a seller-assigned tag are both parsed using the same semantic definitions. Every screenshot becomes a row in one spreadsheet, tagged by platform.
How does the tool handle "Sold" and "Bumped" overlays on Vinted screenshots?
The AI reads the listing data underneath the overlay. Vinted's "Sold" and "Bumped" badges are semi-transparent tags that do not fully obscure the underlying Item Name, Price, Brand, or Size. The Listing Status column captures the overlay text ("Sold" or "Bumped"), while the other columns return the original listing data visible beneath it. This works for both Vinted and Mercari "Sold Out" overlays.
If the same item is cross-listed on Vinted and Mercari, can I add a Platform column to track both?
Yes. Just add Platform as a column name alongside your data fields. Every screenshot becomes a row with its marketplace source. You can then filter by Platform in Excel to see Vinted listings separately from Mercari listings, or sort by Item Name to manually match cross-platform duplicates. The AI does not auto-deduplicate across platforms — it gives you the structured data to track which items are live where.
Return to the secondhand marketplace overview — covers Vinted, Mercari, Facebook Marketplace, OfferUp, Carousell, and more.
Deep dives: Batch processing app screenshots into a single structured spreadsheet · General guide to extracting data from screenshots to Excel