Upload a CSV of Page URLs

Put one Page URL in each row of a clearly named column, for example Page URL. Use full website addresses so the file identifies actual detail pages without depending on a base URL.

You can retain other columns for context, but the selected Page URL column supplies the pages for this run. Download a CSV from your spreadsheet application rather than renaming an Excel file’s extension.

1. 1

   Choose Upload CSV

   In Bulk extract page data, choose Upload CSV and select the file.

2. 2

   Confirm the URL column

   Compare each candidate’s label, URL count, and sample link. Select the column leading to the intended product or detail pages.

3. 3

   Review the accepted URLs

   Invalid values and duplicate URLs reduce the count; up to 10,000 unique Page URLs are accepted.

4. 4

   Configure a representative sample

   Review fields on the first accepted URL. Split pages with different layouts into separate files and runs for more consistent field selection.

No Page URL column was found in that CSV means Clura could not identify a usable URL column. Check that the file contains data rows, a header, and complete HTTP or HTTPS URLs.

If the count is unexpectedly low, look for blank cells, duplicate addresses, image links, and malformed values. Correct the source file and upload it again before starting extraction.