Skip to main content
CSV export downloads the reviews currently loaded in your filtered feed as a single CSV file, ready for a report, your own analysis, or another tool.
Reviews feed with saved views, filter rail, and stats bar — CSV export uses whatever filters are currently applied here
Paid feature: CSV export requires an active paid subscription (any paid plan, not a specific tier). The export includes every review currently matching your applied filters, not just what’s visible on the current page.

Understanding what gets exported

The Export CSV button on the reviews feed downloads exactly these columns, in this order:
Filter first, then export: Apply the filters you want — date range, rating, language, response status, keyword — before clicking Export. The file only contains what’s currently loaded in the feed.

The export process

Exporting is a single click with no waiting. AppReply builds the CSV from the reviews already loaded for your current filters and hands your browser the file immediately — there’s no server-side generation step and no download link to wait on.
1

Filter to target the data you need

Narrow by date range, star rating, language, response status, or keyword to scope the export to what you actually want to analyze.
2

Click "Export CSV"

The button is disabled until you’re on a paid plan and at least one review is loaded. Clicking it builds the file from the reviews currently matching your filters.
3

Save the file

Your browser downloads a file named after your app (or the number of apps, in a multi-app view) and today’s date, e.g. my-app-reviews-2026-04-08.csv, ready to open in Excel, Google Sheets, or any tool that reads CSV.
The file is UTF-8 encoded with a byte-order mark so Excel opens accented and non-Latin characters correctly, and any field containing a comma, quote, or line break is automatically quoted.

Analyzing exported data

A handful of formulas cover the most common questions in Excel or Google Sheets: For a pivot table, use the month or week of Created At as rows, Rating as columns, a count of reviews as values, and Platform, Language, or Response Type as filters.
Regular exports: Since export always reflects your current filters rather than a stored report, consider re-running the same filtered export monthly if you want to build a historical dataset for trend analysis over time.

AI summary

Get automated insights without manual data analysis

Translation

Handle international reviews with built-in translation