Marketplace Seller CSV Tool
Selling across Amazon, eBay, Walmart, and Etsy means four different file formats, category systems, and field requirements. PipeSheets standardizes your product data so you can expand to new channels without reformatting headaches.
One master catalog. Every marketplace format.
What is Marketplace Seller CSV Tool?
Selling across Amazon, eBay, Walmart, and Etsy means four different file formats, category systems, and field requirements. PipeSheets standardizes your product data so you can expand to new channels without reformatting headaches.
- WGT-001, WGT-002, WGT-003 unified format: Strips platform prefixes and normalizes to your master SKU convention
- Mapped to each platform's requirements: Use saved mappings to convert your master categories to each marketplace's system
- Platform-appropriate condition values: Converts between text conditions and numeric IDs as needed per marketplace
Standardize product data across all marketplaces
1Before
| SKU | Title | Price | Condition |
|---|---|---|---|
| AMZ-WGT-001 | Blue Widget | 29.99 | New |
| wgt_002_ebay | Red Widget | $34.99 | 3000 |
| WMT-WGT003 | Green Widget | 39.99 | empty |
2After
| SKU | Title | Price | Condition |
|---|---|---|---|
| WGT-001 | Blue Widget | 29.99 | New |
| WGT-002 | Red Widget | 34.99 | New |
| WGT-003 | Green Widget | 39.99 | New |
What Gets Fixed
Strips platform prefixes and normalizes to your master SKU convention
Use saved mappings to convert your master categories to each marketplace's system
Converts between text conditions and numeric IDs as needed per marketplace
Strips currency symbols and normalizes decimal formats across locales
How It Works
Clean your data in three simple steps. No coding required.
Upload Your Product Data
Drop your file here
CSV or XLSX, up to 25MB free
Start with your master catalog or export from any marketplace (Amazon, eBay, Walmart, Etsy)
Standardize to Master Format
Clean SKUs, normalize categories, fix conditions, remove platform-specific quirks
Export Per Marketplace
Download files formatted for each platform's bulk upload requirements
One Master Catalog, Every Marketplace Format
The core problem of multi-channel selling is that your product data has to exist in four dialects at once. Amazon wants text condition values and browse nodes, eBay wants numeric condition IDs and category numbers, Walmart wants its own product-type taxonomy and strict GTINs. Sellers who maintain a separate spreadsheet per channel end up with four slowly diverging catalogs - a price updated on Amazon but not eBay, a SKU renamed on one channel only. The fix is a hub-and-spoke model: one master catalog, and a saved conversion pipeline per marketplace.
How the same field differs across marketplaces
Field requirements across Amazon, eBay, and Walmart
| Field | Amazon | eBay | Walmart |
|---|---|---|---|
| Condition | Text values (New, Used - Good) | Numeric IDs (1000 = New, 3000 = Used) | New only in most categories |
| Product ID | UPC, EAN, or existing ASIN | UPC/EAN, optional in some categories | GTIN/UPC strictly validated |
| Category | Browse node / product type | Numeric category ID | Walmart product-type taxonomy |
| Title length | Up to 200 characters | Up to 80 characters | 50-75 characters recommended |
| Empty required cells | Error 99006 | Row rejected in results report | Item fails ingestion |
The hub-and-spoke workflow for a multi-channel catalog
Keep one master file - clean SKUs, full titles, your own category names, condition as plain text. Then build one PipeSheets pipeline per channel that converts the master into that marketplace's dialect:
Per-channel conversion pipeline steps
- Rename columns to the target template's exact header names (title to item_name for Amazon, Title for eBay).
- Map values to translate your vocabulary: master categories to eBay category IDs, condition text to eBay's numeric codes, your internal values to Walmart's product types.
- Find & replace with regex to enforce channel rules - for eBay's 80-character titles, matching ^(.{80}).* and replacing with $1 truncates every title to the limit (check the preview for awkward mid-word cuts).
- Drop columns the target does not accept, and reorder the rest to match the template's column order.
- Normalize headers and standardize nulls so empty cells are truly empty, then download in the format the channel wants - CSV or XLSX.
Run each pipeline whenever the master changes. What PipeSheets deliberately does not do: it will not push listings to any marketplace, sync inventory in real time, or validate channel-specific business rules - you still upload each file through Seller Central, Seller Hub, or Walmart Seller Center, and the platform's own validation has the final word. For automated live sync, pair this workflow with a multichannel management tool; for a catalog you update weekly or monthly, saved pipelines are usually all you need.
Frequently Asked Questions
Guides for Marketplace Seller CSV Tool
- How to Fix bol.com and OTTO Listing Errors in BulkWhen a bol.com bulk upload comes back with hundreds of rejected rows, the errors almost always trace to a handful of file-level causes: mangled EANs, comma-decimal confusion, missing attributes, and header mismatches. Here is how to fix each class across the whole file at once, plus the rules OTTO Market applies to the same kind of file.
- How to Clean an Excel File Online (No Formulas Needed)You can clean a messy Excel file online in a few minutes: whitespace, inconsistent headers, empty rows, null-value chaos, and case problems, all without writing a single TRIM or SUBSTITUTE formula. Here is what online cleaning covers, how to vet a tool, and a full walkthrough.
- Mailchimp "We Can't Upload That File Type": Every Cause and FixMailchimp's 'we can't upload that file type' error fires before your contacts are even looked at: the file itself is the problem. Usually it is not a real CSV, it is the wrong encoding, or it is too big. Here is a decision-tree diagnosis and the exact fix for every trigger.
- CSV Cleaner APIs for SaaS Imports: Validate and Transform Files Before They Hit Your AppEvery SaaS with a CSV importer ends up rebuilding the same cleanup layer. Here is the architecture for doing it through an API: upload, validate with per-row errors, transform, and return a clean file.
- Mail Merge From Customer Exports: Cleaning Names, Addresses, and Salutations at ScaleA raw customer export is never merge-ready. Here is how to split names, build a salutation with a safe fallback, normalize addresses, and drop undeliverable rows before you print 500 letters.
- How to Merge Inventory CSVs by SKU: Supplier Stock + Amazon, eBay, and Shopify ExportsMerging inventory files by SKU is only as reliable as the SKU column itself. Here is how to clean the join key, choose left join vs update-only vs append, and verify matched, unmatched, and conflicting rows before you trust the result.
Unify Your Product Catalog
Stop reformatting for every marketplace. Standardize once, export everywhere. Try it free.
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