CSV Column Extractor

Selecting columns to keep

Load the CSV and the tool lists every column header. Select the columns you want in the output. Only those columns appear in the exported file, in the order you selected them. This lets you reorder columns at the same time as filtering them: if you want email first and name second but the original file has name first and email tenth, select them in your preferred order and the output reflects that sequence.

This tool is complementary to the Delete Column tool. When you want to drop a small number of columns from a wide file, it is faster to select the ones to remove. When you want only a few specific columns from a very wide file, it is faster to select the ones to keep. A CRM export with 40 columns where you need only 3 is a clear case for Column Extractor.

Preparing data for specific systems

Extracting just email and name from a large CRM export is a frequent task before sending to an email marketing platform. An email platform import typically accepts only a handful of fields. Submitting a 40-column CRM export to it either fails validation or imports extra columns that fill up custom field allowances. Extract only the required columns first, then import the clean file.

APIs that accept CSV uploads often have a strict column schema. If your file contains extra columns not in the schema, the upload may be rejected or the extra columns silently ignored, depending on the system. Extracting only the columns the API expects removes the ambiguity and produces a predictable upload.

Preparing data for a data warehouse or analytics tool where column selection reduces storage or processing cost is another use. Loading only the columns needed for a specific analysis rather than the full wide table keeps the target dataset smaller. This is particularly relevant for columnar storage formats where you pay for data scanned per query.

Frequently asked questions