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Use Extract from File when you want a workflow step to read structured or text data from a public file URL inside Fetch Hive.

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Configuration

Add this step from the Utilities group in Search steps…. Supported formats: Tabular outputs are clamped to your plan iteration limit and a platform safety cap of 1,000 rows.

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Output

Click Run in the step header to test the step. Fetch Hive shows the extracted result in Output after the run completes. Use the variable picker in a later step to insert the exact output path for your run. The base reference is:
For CSV or spreadsheet files, {{STEP_IDENTIFIER.output}} is an array you can pass directly into an Iteration step:
Inside the iteration body, reference fields from each row:

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Example

Add Extract from File from the Utilities group. Set File URL to a public CSV such as https://example.com/contacts.csv. Keep File format on Auto-detect and leave First row is header enabled. Add an Iteration step with source {{extract_contacts.output}}. Inside the loop:
  1. Website Scrape on {{contacts_loop.item.website}}
  2. AI Prompt to write a unique outreach fact from the scrape result
After the loop, use Data Transform or Google Sheets to collect enriched rows.

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Notes

  • Use a directly reachable file URL. This step fetches the file over HTTP; it does not upload files from your computer.
  • HTML extraction returns full-page text, not table rows.
  • PDF and DOCX extraction returns text suitable for downstream AI Prompt steps.
See also: Data Transform, Creating and Editing, Testing and Iteration, and Error Handling