How do you migrate workflows from Zapier to Make?

Quick Answer: To migrate from Zapier to Make, start by auditing your Zapier Zaps and mapping each to Make's equivalent modules. Recreate workflows in Make using its visual builder, test thoroughly with sample data, then run both platforms in parallel before cutting over. Most migrations take 1-2 weeks for 10-20 Zaps.

How to Migrate from Zapier to Make: Step-by-Step Guide

Migrating from Zapier to Make can save the team significant money and access more advanced automation capabilities. However, the migration requires careful planning since there is no automated migration tool between the two platforms. Here is a proven step-by-step process.

Step 1: Audit Your Existing Zaps

Before building anything in Make, create a complete inventory of your Zapier workflows:

  1. List every active Zap with its trigger app, action apps, and number of steps
  2. Note monthly task usage for each Zap to understand your volume requirements on Make
  3. Identify critical Zaps that cannot have downtime during migration
  4. Document any Zapier-specific features you use: Paths, Formatter, Looping, Digest, Storage
  5. Check for Zapier-exclusive apps — verify that every app in your Zaps has a Make module equivalent

Create a spreadsheet with columns for: Zap name, trigger app, action apps, steps, monthly tasks, priority, and Make module availability.

Step 2: Map Zapier Apps to Make Modules

Zapier and Make use different terminology and sometimes different API scopes for the same services:

Zapier Concept Make Equivalent
Zap Scenario
Task Operation
Trigger Trigger module
Action Action module
Path (branching) Router module
Filter Filter
Formatter Built-in functions
Looping Iterator + Aggregator
Zapier Storage Data Stores
Webhooks by Zapier Webhooks module

For each Zap, verify that Make has modules for every connected app. Make supports 1,800+ apps, so most Zapier apps have equivalents. For apps without native Make modules, check if users can use Make's HTTP module with the app's API.

Step 3: Recreate Workflows in Make

Start with your simplest Zaps and work toward complex ones:

  1. Create the scenario in Make and add the trigger module matching your Zap's trigger
  2. Authenticate your accounts — users will need to re-authorize every connected service
  3. Add action modules and map the data fields. Make's visual data mapping is more powerful than Zapier's field mapping, but it takes time to learn the interface.
  4. Convert Zapier Paths to Make Routers — Make's Router module splits scenarios into multiple branches, each with its own filter conditions
  5. Replace Formatter steps with Make functions — Make has built-in text, date, math, and array functions that replace Zapier's Formatter
  6. Handle errors — Add error handler modules to critical scenarios. Make's error handling is more sophisticated than Zapier's, offering retry, ignore, break, and rollback options.

Step 4: Test with Sample Data

Thorough testing is critical before going live:

  • Run each scenario manually with the "Run once" button using real sample data
  • Verify every output field matches what your downstream systems expect
  • Test edge cases: empty fields, special characters, large data sets, and error conditions
  • Check data formatting: dates, numbers, and currencies may format differently between platforms
  • Validate webhook URLs if external systems send data to the automations (they will have new URLs in Make)

Step 5: Run Both Platforms in Parallel

For critical workflows, run Zapier and Make simultaneously for 1-2 weeks:

  • Keep your Zaps active while new Make scenarios run alongside them
  • Compare outputs to ensure Make produces identical results
  • Monitor Make's execution logs for any errors or unexpected behavior
  • For workflows that create records (e.g., new contacts, invoices), use a test environment to avoid duplicates

Step 6: Cut Over and Decommission

Once you are confident in your Make scenarios:

  1. Update webhook URLs in any external systems that send data to the automations
  2. Turn off Zaps one at a time, starting with non-critical workflows
  3. Monitor Make scenarios closely for the first week after each cutover
  4. Keep your Zapier account active for 30 days after full migration as a safety net
  5. Cancel your Zapier subscription once everything is verified

Timeline Expectations

Migration Size Estimated Time
1-5 simple Zaps 1-2 days
10-20 mixed Zaps 1-2 weeks
50+ complex Zaps 4-8 weeks

The biggest time investment is learning Make's interface and re-authenticating all your connected accounts. Once you are comfortable with Make, individual workflow recreation typically takes 15-45 minutes per Zap depending on complexity.

Related Questions

Last updated: | By Rafal Fila

Related Tools

Related Rankings

Best AI-Powered Automation Tools in 2026

AI-powered automation tools integrate artificial intelligence features — natural language workflow creation, intelligent data mapping, predictive actions, and LLM-based content generation — into their automation platforms. As of March 2026, most major automation platforms have added AI capabilities, but the depth and practical utility of these features varies significantly. This ranking evaluates 8 automation tools on the practical value of their AI features, not marketing claims. The evaluation focuses on whether AI features reduce manual configuration, accelerate workflow creation, and improve outcomes versus doing the same work without AI. Tools that use AI as a core differentiator (not just a checkbox feature) score higher.

Best Automation Tools for Startups in 2026

Startups need automation tools that provide immediate value at minimal cost, with room to scale as the team grows. The best startup automation tools offer generous free tiers, fast time-to-value (first working automation within hours, not days), and a clear scaling path from 5-person team to 50-person company. This ranking evaluates 8 automation platforms specifically for startup relevance as of March 2026. The evaluation prioritizes free tier generosity, speed from signup to first working automation, scalability as the team and workflow count grow, integration breadth covering the typical startup tech stack (Slack, Google Workspace, HubSpot, Stripe, GitHub, Notion), and total cost at early-stage volumes (under 50,000 tasks per month).

Dive Deeper