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What It Does

  • Renames one or more columns — finally, goodbye col_1 👋
  • Helps you standardize naming conventions across datasets
  • Keeps column order and all data intact
  • Silently skips anything invalid or unnecessary — no drama
🧠 Think of this as your “naming hygiene” node — perfect for tidying before merges, exports, or sending data to Salesforce/Zapier/HubSpot.

🏁 Getting Started

Rename Column node configuration
1

Drop It In

Add the Rename Column node right after your data pull or cleanup step.
2

Map Old to New

For each column, pick the one you want to rename and type in its glow-up version.
3

Rename More (Optional)

Add more rename pairs if your dataset needs a full wardrobe change.
4

Run It

Boom — your data’s now wearing its name badge correctly. Send it downstream to whatever tool’s next.

Inputs

🛠️ Required Fields

  • Columns to Rename (✅)
    For each rename, define:
    • The original column name (from your input dataset)
    • The new column name (what you actually want it called)
✅ Pro tip: Match your naming conventions across ops tools (e.g., email_address instead of just email) to avoid breakage in merges or automations.

Output

You get back a table that’s 100% identical in structure — except for those sweet new column names.
  • Rows: unchanged
  • Column order: untouched
  • Only names updated, no data harmed in the making
Rename Column output screenshot

🚀 Use Cases in the Wild

SituationHow Rename Column Helps
Prepping data for Salesforce importRename phone_cleanedPhone
Aligning schemas before a JoinRename lead_idcontact_id
Cleaning up scraped web dataRename col_1, col_2 to actual field names
Naming for reporting clarityRename Q1 Revrevenue_q1

✨ RevOps Pro Tips

Standardize column names before merging — inconsistent names are the silent killers of automated workflows.
Rename to match your CRM or BI tools (e.g. contact_email, owner_id) so handoff between systems is clean.
You can skip cleaning ahead of time — we’ll gracefully ignore columns that don’t exist.

⚠️ Gotchas (Avoid These)

You can’t rename multiple columns to the same name — that’ll block the run.
Renaming to the same name does nothing — we skip it quietly so you don’t waste steps.
Columns that don’t exist in the input? Also skipped. No crashes, no panic — just smart handling.

🛠 Troubleshooting

SymptomPossible CauseFix
Column didn’t renameYou may have a typo or it doesn’t existCheck the input schema first
Nothing changedAll rename pairs were no-opsMake sure your “new” names are actually different
Clash of new namesTwo columns renamed to the same namePick distinct names for each

📝 FAQ

Heck yes — rename your whole schema if needed. Add as many as you like.
Never. We’re not that kind of node.
No problem — we skip it quietly and keep moving. Resilient by design.
Technically yes, but it’ll be skipped. No warnings, just efficiency.

💰 Pricing

The Rename Column node is free. Rename with confidence — no credits required.

Good column names aren’t just vanity — they’re operational clarity. Rename with confidence and keep your data flows clean, smart, and aligned. 🧼