Skip to content

Exporting Data

After a project run completes, you can export the extracted data in several formats.

  1. Go to Scraped Data in the sidebar.
  2. Select the Project from the dropdown.
  3. Select the Run (session) from the dropdown.
  4. Select the Dataset from the dropdown.
  5. Your data appears in a table.

Scraped Data page showing project, run, and dataset dropdowns with a data table below

Format Extension Description
CSV .csv Comma-separated values. Opens in Excel, Google Sheets.
JSON .json JSON array. Best for developers and APIs.
XLSX .xlsx Excel spreadsheet.
Parquet .parquet Columnar storage. Best for large datasets.
  1. Click Export on the Scraped Data page.
  2. The Export Wizard opens.
  3. Choose the format.
  4. Choose whether to overwrite or append (CSV only).
  5. Click Save and choose a file location.

Export Wizard modal showing format selection and overwrite/append options

If your project has multiple datasets, the export wizard exports all of them. For CSV format, each dataset is exported as a separate file.

Instead of manual export, you can configure triggers to automatically send data to destinations after each run. See Triggers.

If a dataset property has Download enabled, the downloaded files are stored locally. The file path is included in the exported data.

Tip: Downloaded files are stored in the RTILA data directory. You can find them by checking the file path in the exported data.