Ecommerce Scraper.
Structured. Exportable. Yours.
Every marketplace structures its listings differently, but commercial teams need the same fields from all of them. This is the parent product — choose a marketplace below, or use this one to collect across several with matching columns.
PRICES CHANGE DAILY.
SPREADSHEETS DON'T.
Marketplace listings carry everything a commercial team needs — titles, prices, discounts, ratings, review counts, seller names and availability.
But pricing moves constantly. A competitor check done by hand on Monday describes a market that no longer exists by Wednesday, and nobody has time to redo it weekly.
Category Scan
You open a category or search and find hundreds of competing listings.
Manual Comparison
Prices and specifications are copied into a comparison sheet.
Prices Move
Competitors adjust pricing and promotions within days.
Decisions on Old Data
Pricing calls get made against a snapshot that is already wrong.
Track a Market,
Not a Moment.
Collect an entire category in one pass and repeat it whenever you need a fresh view. Because each run produces the same columns, comparing this week against last week is a sort, not a rebuild.
Full Category Capture
Collect every listing in a search or category rather than sampling the first page.
Pricing and Discounts
List price, current price and discount percentage are captured as separate fields.
Seller Visibility
Seller names and ratings come through, so you can see who is competing on each listing.
Repeatable Snapshots
Run the same collection on a schedule to build a price history over time.
Fields Captured by
Ecommerce Scraper.
Each field arrives in its own column. Where a source does not publish a value, the column is left empty rather than guessed at.
Product Titles
Current Prices
Original Prices
Discount Percentages
Seller Names
Star Ratings
Review Counts
Stock Availability
Four Steps, No Code.
Install
Add the browser extension. Nothing to deploy and no API key to manage.
Search
Open the source and apply the filters you would use normally — category, location, price, whatever narrows it.
Collect
Start the run. It follows pagination and scrolling through the full result set while you watch.
Export
Download as CSV or Excel with consistent columns, ready for your CRM or spreadsheet.
Ecommerce Scraper is built for teams that need this regularly rather than once.
Used by:
These share aligned output columns, so collections merge without reformatting.
WHY SCRIBBLE LINKS?
Most tools hand you a raw dump and leave the cleanup to you.
Ecommerce Scraper is engineered around the output — consistent columns, empty cells where a source is silent, and the same structure on every run so a second collection is comparable to the first.
Everything You Need
TO KNOW
Common questions about Ecommerce Scraper, what it collects and how the data can be used.
Which marketplaces are supported?
Amazon, Flipkart, AliExpress, Etsy, eBay and Alibaba each have a dedicated product tuned to that platform's listing layout.
Can I compare prices across marketplaces?
Yes. Output columns are aligned across all six, so files from different marketplaces merge into a single comparison sheet.
Do I need to know how to code?
No. You select the data you want directly on the page, and the extractor handles the rest. There is nothing to install beyond the browser extension and nothing to configure in code.
What formats can I export to?
Collected data can be exported as CSV or Excel, with JSON available where the structure calls for it. Columns stay consistent between runs, so files drop straight into a CRM or spreadsheet.
Is this allowed?
The extractor works only with publicly available information — the same content any visitor can see without logging in. Login-protected and private data is not supported. You remain responsible for following the terms of the sites you collect from and any applicable data protection law.
Better Data.
Better Systems.
Better Businesses.
See Ecommerce Scraper running against your own target source before you commit to anything.