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Clean Ecommerce CSV Before Import

Normalize ecommerce CSV product fields and separate clean import-ready rows from records that need manual review.

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CatalogFix AI — Clean Product Catalogs, PDF & Excel
CatalogFix AI — Clean Product Catalogs, PDF & Excelw_met/catalogfix-ai
Record / SKU
Normalized product title
Ready / Review
Extraction quality flags
+3 fields
Text
Number
Boolean
List
Object

Input

Supplier catalog(required):https://raw.githubusercontent.com/metatron9911-star/catalogfix-ai/3a19870126cd80aa4d81195e4ad6519e8d371264/fixtures/ecommerce_catalog_demo.csv
Filename override (optional):ecommerce_catalog_demo.csv

Output fields

Record / SKU
Normalized product title
Ready / Review
Extraction quality flags
Normalized price
Confidence
Source row

How it works

Sign up on Apify or log in

The CatalogFix AI — Clean Product Catalogs, PDF & Excel Actor is ready to run with the inputs already set for "Clean Ecommerce CSV Before Import". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Clean Ecommerce CSV Before Import" task

The CatalogFix AI — Clean Product Catalogs, PDF & Excel Actor will start running based on the input automatically. You can also change all the input fields, like supplier catalog and filename override (optional), to match your specific use case.

Receive the "Clean Ecommerce CSV Before Import" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as record / sku, normalized product title, ready / review, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Clean Ecommerce CSV Before Import" task via API.

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Integrate "Clean Ecommerce CSV Before Import" into your workflow

Connect "Clean Ecommerce CSV Before Import" with 100+ integrations, or run it via API or MCP.

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