Import thousands of redirects from CSV

Upload a CSV file with the defined column format: source, destination, match_type, status_code, and trailing_slash_insensitive. The importer validates headers and parses each row according to this structure.

After mapping columns, the importer scans every row for issues. It validates URL patterns for syntax, checks for duplicate source URLs within the file and against existing rules, and flags rows with missing or invalid data. A detailed preview shows exactly what will be created, updated, or skipped.

When you confirm the import, all valid rules are created in a single atomic operation. The import is transactional — if any row fails to import, the entire batch is rolled back. This prevents partial imports that leave your rule set in an inconsistent state.

The CSV import system is designed to handle files with tens of thousands of rows efficiently. Large files are processed in chunks on the server side, with progress reporting so you can see import status in real time. Memory-efficient parsing means even 50,000-row files process without timeouts or memory issues.

Conflict detection goes beyond simple duplicate checking. The importer identifies overlapping prefix patterns, rules that would create redirect chains with existing rules, and duplicate source paths. Each conflict is categorized with a severity level and a suggested resolution.

After import, a detailed summary report shows how many rules were created, how many were skipped (with reasons), and any warnings about potential issues. The report can be downloaded as a CSV for record-keeping, making it easy to track what was imported and audit the results.