Store the output of a phantom in Airtable

📄 Phantom Output to Airtable Workflow
This workflow retrieves data from a Phantombuster LinkedIn Profile Scraper phantom and stores the output in Airtable.

🔧 What You’ll Need
Phantombuster Account – with the LinkedIn Profile Scraper phantom configured and launched.

Airtable Account – to store the scraped data.

n8n Instance – where this automation will run.

🔁 Workflow Overview
Phantombuster Node
Retrieves the output of the previously run LinkedIn Profile Scraper phantom.
➤ Tip: You can select a different phantom via the Agent dropdown—just make sure to adapt the rest of the workflow to match its output structure.

Set Node
Prepares the required fields (e.g., name, headline, company) from the phantom’s output.
➤ Modify the fields as needed based on your use-case or the structure of your phantom's data.

Airtable Node
Appends the cleaned data into an Airtable base and table.
➤ Optional: Replace this node with a different destination such as:

Database (PostgreSQL, MySQL, etc.)

Google Sheets

Email using Gmail, Outlook, or the Send Email node

🧠 Use-Case Tips
Automate lead generation pipelines by combining Phantombuster and Airtable.

Chain additional workflows to analyze or notify your team of new leads.

Schedule this workflow using a Cron node for recurring data updates.