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Link Phantombuster to Sheets using Zapier

Updated on:
June 5, 2026
By:
Madhav Bhandari
Use this interactive demo to learn how to automate Phantombuster data exports into Google Sheets via Zapier.

Quick summary

This tutorial shows how to connect Phantombuster to Google Sheets using Zapier by building a Zap that automatically sends scraped output data into a spreadsheet row whenever a Phantom completes a run. Once published, the integration keeps your lead and enrichment data synced without any manual exports.


Steps

  1. Log in to Zapier, click "Create", and select "Zaps" to begin building a new automation.
  2. Click "Trigger" to start configuring the trigger step of your Zap.
  3. Search for Phantombuster in the app search and select it as your trigger app.
  4. Choose a trigger event, such as "New Output", to fire the Zap when a Phantom produces results.
  5. Connect your Phantombuster account by authorizing it within the Zapier editor.
  6. Select the Phantom you want to track so Zapier monitors the correct automation.
  7. Run a test to ensure Zapier correctly detects the extracted data from Phantombuster.
  8. Add Google Sheets as the Action App in the next step of your Zap.
  9. Select an action event, such as "Create Spreadsheet Row", to define what happens in Sheets.
  10. Connect your Google Sheets account by authorizing it within the Zapier editor.
  11. Choose the spreadsheet and worksheet where the Phantombuster data should be stored.
  12. Run a test to verify that Phantombuster data is correctly added as a new Google Sheets row.
  13. Click "Publish" to activate your Zap and start the live automation.

📌 Why this matters

Manually exporting Phantombuster scraping results and pasting them into spreadsheets is time-consuming and error-prone. Connecting Phantombuster to Google Sheets via Zapier automates the entire data pipeline, ensuring every new Phantom output is instantly logged as a structured row without human intervention. This integration is essential for sales and growth teams that rely on web-scraped lead data at scale, as it eliminates export delays and keeps enrichment data continuously up to date. Teams can focus on acting on the data rather than wrangling it.
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