Track Listings from Any Marketplace Screenshot
Facebook Marketplace, Vinted, Carousell, and eBay Kleinanzeigen all show your listings differently — and none of them let you export what you've posted into a spreadsheet. This pulls Item Name, Price, Condition, and more from any marketplace screenshot in one batch — 18x faster than copying fields by hand.
5-10s per screenshot · Up to 99% accuracy on printed text
What You Can Pull from Marketplace Screenshots
Your listings are scattered across multiple secondhand platforms — and every one of them renders listing data differently. With Custom Column Extraction, you name the fields you need and the AI locates them on any marketplace screenshot by understanding what each value means, not where it appears.
These are the column names you type for each marketplace. The AI finds matching values regardless of the platform — you get one clean spreadsheet across all your selling channels.
Every Marketplace Shows Listings Differently — You Need to Track Them in One Place
A Facebook Marketplace card, a Carousell listing, and a Zillow rental have zero layout in common. Sellers across 3-5 platforms face a problem no scraping tool solves: none let you export your listings into a unified spreadsheet, and screenshots — the one universal format — are just unsearchable images.
Why Traditional Tools Can't Unify Your Listings
Scraping tools only work on web pages — one platform at a time. Apify, BrightData, and browser scrapers extract public listing data from Facebook Marketplace's HTML. They can't read a Carousell mobile screenshot, a Vinted listing page, or a Zillow rental. If you sell across platforms, you're patching together data from incompatible sources.
Screenshots are the universal cross-platform record — but they're just pixels. You post on Facebook Marketplace, Vinted, and eBay Kleinanzeigen — three screenshots, three different layouts. A reseller on Reddit: "item sells on eBay, you forget to delist from Poshmark, now you've sold the same item twice." Screenshots capture the data, but basic OCR dumps every pixel in random order — finding the price in unsorted text is nearly impossible.
Product and rental property listings need different fields. A chair on Facebook Marketplace has Item Name, Price, and Condition. A rental on Zillow has Rent, Bedrooms, and Deposit. No template handles both — sellers who flip furniture and track apartments maintain two separate systems.
How Semantic Extraction Reads Any Marketplace Layout
Name your columns — the AI finds values by meaning, not position. Type Item Name, Price, Condition, Platform, Location. Whether the price is bold in Facebook Marketplace's card corner or smaller inside Vinted's detail card, the visual model understands "Price" in context. You define what you want; the AI adapts to each platform's layout individually.
One column set handles product listings and rental properties. Upload Facebook Marketplace, Vinted, and Zillow screenshots in the same batch. Add Bedrooms and Sq Ft for the rentals — the AI fills only what it finds on each image. Every screenshot becomes a row in one merged spreadsheet.
A Platform column keeps every listing traceable. Every screenshot is tagged with its source marketplace. Filter by platform to see all live listings on each channel, or sort by Item Name to find cross-platform duplicates. You stop patching together manual spreadsheets and start analyzing your inventory.
From Mixed Marketplace Screenshots to One Inventory Spreadsheet
Upload Screenshots from Every Marketplace
You've got a folder of listing screenshots: three Facebook Marketplace card views, two Carousell product pages, one Vinted listing with brand and size, a few eBay Kleinanzeigen listings, and a Zillow rental you're tracking. Each screenshot looks completely different. Drag them all into one batch — JPG, PNG, WebP — no sorting by platform beforehand.
Name the Fields — One Definition for All Platforms
Type Item Name, Price, Condition, Platform, Location. Then add Brand, Size for the Vinted screenshots and Bedrooms, Sq Ft, Deposit for the Zillow rental. The AI doesn't need to know which screenshot belongs to which platform — it reads each image, finds each value by what it means, and fills in the columns that apply.
Get One Cross-Platform Inventory Table
Processing takes 5-10 seconds per screenshot. The output is one XLSX file: rows for each listing, columns you defined. Filter by Platform to see what's live on Facebook Marketplace vs Carousell. Sort by Item Name to find duplicates. Check Price trends across channels. About 18x faster than opening each screenshot and typing the fields by hand (~3 min manual input per listing vs ~5-10s here).
When It Works Best — and When to Be Cautious
Understanding the tool's boundaries helps you get the best results.
When It Works Best
Direct screenshots of marketplace listing pages. Full-resolution captures of high-contrast, machine-rendered text reach up to 99% accuracy for fields like Item Name and Price.
Cross-platform batch with a Platform column. One column set produces a filterable spreadsheet showing listings from Facebook Marketplace, Carousell, Vinted, and Zillow — no per-platform sorting needed.
Mixed listing types in one batch. Product and rental property screenshots processed together — the AI identifies each field by context and leaves blank cells where fields don't apply.
When to Be Cautious
Screenshots forwarded through messaging apps. WhatsApp and Messenger compress images. Accuracy for smaller text (prices, conditions) will be lower — spot-check these.
Photos taken at an angle. Angled shots or glare reduce accuracy for listing dates and seller names. Native screenshots produce the best results.
No auto-deduplication across platforms. If the same item is listed on Facebook Marketplace and Vinted, the AI creates two rows. The data is structured to let you sort and match duplicates, but you still need to do so manually.
Frequently Asked Questions
Can I extract Item Name, Price, and Condition from Facebook Marketplace and Vinted screenshots in the same batch?
Yes. You define one set of column names — Item Name, Price, Condition, Platform — and the AI processes every screenshot in the batch using the same definitions. Whether the listing comes from Facebook Marketplace's card-based feed (price in the top corner, condition in a badge) or Vinted's detail page (brand and size above the price), the output is a single spreadsheet with one row per screenshot, the columns you named, and no manual sorting by platform.
Can I extract rental property fields like Rent, Bedrooms, and Square Footage from Zillow screenshots in the same batch as product listings?
Yes. You can define columns that apply to different screenshot types in the same batch. Add Rent, Bedrooms, Sq Ft, and Deposit alongside Item Name and Price. The AI fills only the fields it finds on each image — a Carousell product screenshot gets Item Name and Price; a Zillow rental screenshot gets Bedrooms and Rent. Empty cells simply remain blank, and you get one unified spreadsheet covering both listing types.
What if the same item is listed on Facebook Marketplace and Carousell — can I identify duplicates across platforms?
You add a Platform column to your definitions, and the AI tags each screenshot with its source. You can then filter by Platform to see all listings from one marketplace, or sort by Item Name to spot items that appear on multiple platforms. The AI does not auto-merge duplicates — it gives you the structured data to find and manage them yourself, which avoids accidentally deleting intentional cross-listings.
Does this work with photos taken of a laptop screen showing a marketplace listing, or only direct screenshots?
The tool works with both, but direct device screenshots produce significantly better results. Photos of a screen introduce angle distortion, glare, and moiré patterns that reduce recognition accuracy — especially for smaller text like prices and conditions. If you must photograph a screen, try to shoot straight-on in even lighting. For the most reliable extraction, always capture native screenshots on your phone or computer.
Can I track which marketplace a listing belongs to — for example, knowing whether a screenshot came from OfferUp or eBay Kleinanzeigen?
Yes. Add "Platform" as one of your column names. The AI identifies the marketplace from the screenshot's visual context — app icon, color scheme, layout patterns — and fills in the Platform column for each row. You can then filter your spreadsheet by Platform to see all OfferUp listings, or check which marketplaces your most expensive items are listed on. This is especially useful when managing listings across 3-5 platforms simultaneously.
Deep dives into marketplace screenshot analysis: How to read eBay order numbers, seller names, and item condition tags from any screenshot · Etsy's shop-name layout and custom order notes — a reference for marketplace UI diversity · Cross-market Mercado Libre layout analysis across 18 countries
If you need the entire screenshot turned into a structured table rather than specific listing fields, screenshot-to-excel conversion may be what you're looking for.