What CSV files are actually used for

Ecommerce product imports

Shopify, WooCommerce, Amazon Seller Central, eBay, Etsy — they all eat CSVs for product catalogs. A typical workflow: export products, edit prices or stock in OpenCSV, re-import.

• Bulk update prices across thousands of SKUs
• Add new products without touching the admin UI
• Migrate a store from one platform to another
• Clean up bad descriptions before launch

Customer data exports

CRM tools (HubSpot, Salesforce, Pipedrive) and email platforms (Mailchimp, Klaviyo, Beehiiv) export and import customer lists as CSV. OpenCSV is perfect for cleaning these between platforms.

• Deduplicate email lists before importing
• Strip out unsubscribed contacts before a campaign
• Merge two customer lists from different tools
• Standardise formatting (lowercased emails, etc.)

Analytics and reporting

Every analytics tool — Google Analytics, Stripe, Mixpanel, Amplitude, Posthog — has an 'Export to CSV' button. OpenCSV lets you preview those exports without firing up Excel.

• Quick QA of a Stripe transaction export
• Filter analytics data before sharing with a teammate
• Verify row counts match between source and target system

Inventory & operations

Warehouse management, point-of-sale, and ERP systems all use CSV for SKU tracking, restock orders, and stock takes. CSV is often the only format that talks to a warehouse's older software.

Financial records

Bank statements, accounting exports (QuickBooks, Xero, Wave), expense reports — all flow through CSV. Often you need to recategorise, fix vendor names, or split entries before importing into your accounting tool.

Developers and APIs

Databases export to CSV for backups and migrations. APIs return CSV when JSON would be overkill (or when the consumer is a spreadsheet user). Logs export as CSV. Test data is loaded from CSV.

• Inspect a database export before piping into an analytics tool
• Edit test fixtures by hand
• Move data between staging and production

AI and automation workflows

Training datasets, prompt-result CSVs, fine-tuning data, RAG document indexes — modern AI workflows are awash in CSV. Same with no-code tools (Zapier, Make, n8n) which often pass CSV data between steps.

Education and research

Academic datasets are almost always distributed as CSV. Survey results export to CSV. Statistical software (R, Python pandas, SPSS) reads CSV first.

Marketing operations

Ad platform exports (Google Ads, Meta Ads, TikTok Ads), audience segments, keyword lists, search-console exports — all CSV. Cleaning these is half the work of running campaigns.