Make → Zapier
Move workflow graph and step order, app connectors and operation coverage, credentials and oauth connections, field mappings and expressions, schedules, polling, and webhook triggers, error handling, retries, and partial execution, data stores, variables, and shared components, execution history and replay evidence from Make to Zapier with a reversible cutover, explicit exception ledger, and evidence-backed verification.
Should you make this move?
Both platforms have a case. Compare what you gain with what you give up before scheduling the cutover.
Make
- Visual scenarios, routers, data transformation, and a broad connector catalog support sophisticated no-code automation
- Visual workflows connect business systems without requiring a custom integration for every process
- Operation billing and complex scenario graphs can be difficult to estimate, debug, and migrate
- Credentials, connector semantics, and in-flight execution state are difficult to move safely
Zapier
- An enormous connector ecosystem and approachable trigger-action model make business automation widely accessible
- Visual workflows connect business systems without requiring a custom integration for every process
- Task pricing, proprietary steps, app-specific behavior, and complex Zaps create accumulated lock-in
- Credentials, connector semantics, and in-flight execution state are difficult to move safely
Zapier: An enormous connector ecosystem and approachable trigger-action model make business automation widely accessible. This removes a major source-side concern: Operation billing and complex scenario graphs can be difficult to estimate, debug, and migrate.
What you lose: Visual scenarios, routers, data transformation, and a broad connector catalog support sophisticated no-code automation. What you inherit: Task pricing, proprietary steps, app-specific behavior, and complex Zaps create accumulated lock-in.
Jump to a section
Know the shape of the move.
This timeline assumes
- Up to 500 active workflows, 2,000 app connections, and 20 million annual executions
- Administrators control both Make and Zapier, including billing, identity, APIs, integrations, and export permissions.
- Make remains intact and recoverable until Zapier completes one representative operating cycle.
- A production-shaped pilot includes every object type, access class, edge case, and failure path.
- The migration team preserves stable source identifiers and records durable evidence for every blocking check.
What survives the move.
“Partial” and “manual” are not footnotes. They are work that must be scheduled and verified.
| Item | Outcome | Impact | What happens | Mitigation |
|---|---|---|---|---|
| Workflow graph and step order | partial | critical | Triggers, actions, routers, branches, loops, and sub-workflows have different execution models. A successful bulk job therefore does not prove semantic parity between Make and Zapier. | Map workflow graph and step order explicitly, pilot every feature class, and reconcile accepted, changed, rejected, and excluded items. |
| App connectors and operation coverage | manual | critical | Connector names can match while supported actions, fields, pagination, and API versions differ. A successful bulk job therefore does not prove semantic parity between Make and Zapier. | Inventory and rebuild app connectors and operation coverage, then test normal, edge, failure, and rollback behavior. |
| Credentials and OAuth connections | manual | critical | Secrets and delegated grants are intentionally excluded or tenant-bound and require reauthorization. A successful bulk job therefore does not prove semantic parity between Make and Zapier. | Inventory and rebuild credentials and oauth connections, then test normal, edge, failure, and rollback behavior. |
| Field mappings and expressions | partial | critical | Expression languages, null behavior, date functions, arrays, and prior-step references require translation. A successful bulk job therefore does not prove semantic parity between Make and Zapier. | Map field mappings and expressions explicitly, pilot every feature class, and reconcile accepted, changed, rejected, and excluded items. |
| Schedules, polling, and webhook triggers | manual | critical | Polling intervals, webhook ownership, time zones, and concurrency behavior must be switched once. A successful bulk job therefore does not prove semantic parity between Make and Zapier. | Inventory and rebuild schedules, polling, and webhook triggers, then test normal, edge, failure, and rollback behavior. |
| Error handling, retries, and partial execution | manual | critical | Retry policies, dead-letter behavior, rollback semantics, and failure visibility differ. A successful bulk job therefore does not prove semantic parity between Make and Zapier. | Inventory and rebuild error handling, retries, and partial execution, then test normal, edge, failure, and rollback behavior. |
| Data stores, variables, and shared components | partial | high | Platform-native tables, environment values, reusable modules, and team assets need separate migration. A successful bulk job therefore does not prove semantic parity between Make and Zapier. | Map data stores, variables, and shared components explicitly, pilot every feature class, and reconcile accepted, changed, rejected, and excluded items. |
| Execution history and replay evidence | lost | high | Past runs, payloads, logs, and replay controls do not become destination-native history. A successful bulk job therefore does not prove semantic parity between Make and Zapier. | Archive execution history and replay evidence as dated source evidence and define the new destination baseline. |
| Teams, folders, ownership, and permissions | manual | high | Workspace hierarchy, ownership, roles, and plan entitlements require redesign. A successful bulk job therefore does not prove semantic parity between Make and Zapier. | Inventory and rebuild teams, folders, ownership, and permissions, then test normal, edge, failure, and rollback behavior. |
| Rate limits, concurrency, and operating cost | manual | high | Task, operation, and execution billing models change workflow capacity and cost. A successful bulk job therefore does not prove semantic parity between Make and Zapier. | Inventory and rebuild rate limits, concurrency, and operating cost, then test normal, edge, failure, and rollback behavior. |
Where each thing goes.
| Source | Destination | Method | Notes |
|---|---|---|---|
| Make: Workflow graph and step order | Zapier: approved workflow graph and step order representation | transform | Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for workflow graph and step order. |
| Make: App connectors and operation coverage | Zapier: approved app connectors and operation coverage representation | manual | Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for app connectors and operation coverage. |
| Make: Credentials and OAuth connections | Zapier: approved credentials and oauth connections representation | manual | Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for credentials and oauth connections. |
| Make: Field mappings and expressions | Zapier: approved field mappings and expressions representation | transform | Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for field mappings and expressions. |
| Make: Schedules, polling, and webhook triggers | Zapier: approved schedules, polling, and webhook triggers representation | manual | Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for schedules, polling, and webhook triggers. |
| Make: Error handling, retries, and partial execution | Zapier: approved error handling, retries, and partial execution representation | manual | Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for error handling, retries, and partial execution. |
| Make: Data stores, variables, and shared components | Zapier: approved data stores, variables, and shared components representation | transform | Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for data stores, variables, and shared components. |
| Make: Execution history and replay evidence | No destination | unsupported | Retain immutable source evidence; do not manufacture destination-native history. |
| Make: Teams, folders, ownership, and permissions | Zapier: approved teams, folders, ownership, and permissions representation | manual | Preserve source IDs, ownership, timestamps, access intent, and an explicit exception status for teams, folders, ownership, and permissions. |
Make the move recoverable.
Create the source-of-truth backup
Preserve Make data, configuration, access, and operating evidence before any destination write.
- Export every available Make object and binary in scope, including workflow graph and step order, app connectors and operation coverage, credentials and oauth connections, field mappings and expressions.
- Capture configuration and runtime dependencies for schedules, polling, and webhook triggers, error handling, retries, and partial execution, data stores, variables, and shared components, execution history and replay evidence.
- Record counts, sizes, owners, timestamps, access classes, financial totals where applicable, and known exceptions.
- Hash immutable exports, record tool versions and commands, and transform working copies only.
Proof to capture: A signed manifest accounts for every scoped record class, configuration object, binary, count, total, exception, and hash.
Identity, schema, and disposition registry
Preserve stable identity and make every mapping or exclusion reviewable.
- Inventory source types, identifiers, owners, states, and access.
- Define one approved destination representation or explicit archive decision.
- Reject unmapped critical items and produce an exception ledger.
Proof to capture: Save the input, output, command or tool settings, warnings, and final item counts.
Dependency-ordered migration package
Load prerequisite identities and configuration before dependent records and runtime actions.
- Normalize encoding, timestamps, identifiers, nulls, and destination limits.
- Run a representative pilot and retain request, response, and rejection evidence.
- Reconcile the final delta before enabling destination production writers.
Proof to capture: Save the input, output, command or tool settings, warnings, and final item counts.
The things most likely to hurt.
These are operating limits. Treat every “Stop if” condition as a blocked migration, not a suggestion.
A completed migration hides missing or altered workflow graph and step order
Headline counts look plausible while semantic, access, or relationship checks fail.
- Consequence
- The destination becomes authoritative with incomplete or misleading business data.
- Mitigation
- Reconcile by type, state, owner, access class, and representative record rather than total count alone.
Stop if: Any critical item lacks a verified destination, approved transformation, explicit exclusion, or recoverable archive.
Make and Zapier both perform production actions
Users, schedules, webhooks, integrations, or traffic continue changing both systems.
- Consequence
- State diverges or customers receive duplicate, contradictory, or unsafe actions.
- Mitigation
- Freeze source writers and transfer one production owner at a time with an approved rollback.
Stop if: An unapproved source writer or destination duplicate action appears after the freeze.
Destination access or security is broader than approved
A representative restricted user can read, change, export, or trigger an unauthorized item.
- Consequence
- Confidential, regulated, financial, or security-sensitive data is exposed or changed.
- Mitigation
- Apply least privilege before bulk loading and test every access class using ordinary identities.
Stop if: Any unauthorized read, write, export, administrative action, or secret access succeeds.
Do the work in this order.
- Days 1–4 · inventory
Inventory and decisions
8–16 hours active2–4 days elapsedOwner, legal, security, and finance review waiting- Inventory Make data, configuration, identities, integrations, limits, and billing.
- Approve scope, owners, mappings, exclusions, acceptance thresholds, and rollback authority.
Depends on: Make and Zapier administrator access
Stop / go checkpointExport?
Go when: Every critical item and production action has an owner and disposition.
Stop when: Authority, retention, billing, access, or system ownership is unclear.
- Days 3–8 · backup
Backup and reconcile
8–20 hours active2–5 days elapsedProvider export processing waiting- Create immutable data, configuration, binary, and audit exports.
- Reconcile source counts, totals, sizes, access classes, and hashes.
Depends on: Approved inventory and retention location
Stop / go checkpointTransform?
Go when: The signed source manifest and exports agree.
Stop when: Any critical dataset, binary, configuration, or recovery path is absent.
- Days 6–20 · pilot
Map, transform, and pilot
25–70 hours active5–12 days elapsedDestination processing and owner review waiting- Configure Zapier and transform a production-shaped pilot.
- Test normal records, every feature class, edge cases, permissions, failures, and rollback.
Depends on: Verified source backup and approved mapping registry
Stop / go checkpointScale?
Go when: Every pilot mapping and blocking verification check passes.
Stop when: Any critical invariant, access boundary, or production action lacks a safe destination.
- Days 18–35 · cutover
Bulk load, final delta, and switch
20–55 hours active2–8 days elapsedImports, propagation, indexing, or synchronization waiting- Freeze production writes and automated actions in Make.
- Apply and reconcile the final delta, switch ownership to Zapier, and run all blocking checks.
Depends on: Passed pilot, stakeholder go decision, and rehearsed rollback
Stop / go checkpointOpen production?
Go when: Zapier is the sole production owner and every critical exception is resolved.
Stop when: A source writer remains active, a blocking check fails, or rollback is unavailable.
- Days 25–45 · observe
Observe and close
9–19 hours active7–14 days elapsedRepresentative operating-cycle evidence waiting- Monitor correctness, access, failures, latency, delivery, cost, and user outcomes.
- Sign the verification report and close rollback only after stable evidence.
Depends on: Verified cutover
Stop / go checkpointClose rollback?
Go when: No trigger occurs during the approved observation period.
Stop when: Data, access, delivery, routing, cost, or business results regress.
Cut over with a way back.
Cutover
Make Zapier the only production system without losing the final Make delta.
- Freeze user, integration, schedule, and API writes in Make.
- Capture and reconcile the final source delta against the last verified checkpoint.
- Apply the approved delta and configuration changes to Zapier.
- Switch traffic, domains, integrations, credentials, automation, and user entry points in dependency order.
- Run every blocking verification check and keep the source intact.
Proof to capture: Zapier alone owns production, totals reconcile, exceptions are signed, and every blocking check has durable evidence.
Rollback
Return production ownership to Make without losing destination-era changes.
- Stop new user, integration, schedule, and API writes in Zapier.
- Restore prior Make traffic, domains, credentials, automation, and integration ownership.
- Export and classify the Zapier post-cutover delta.
- Apply safe destination-era changes back to Make without duplicating actions.
- Run the same blocking checks against the restored source.
Proof to capture: Make again owns production with current data and no duplicate destination action.
- Unexplained critical count, value, relationship, or checksum variance
- Missing, corrupted, or exposed critical data
- Duplicate production action or unresolved split-brain state
- Failed access, security, delivery, routing, performance, or integration check
- A critical feature has no safe destination replacement or rollback path
Prove the migration worked.
Every blocking check must pass. Capture the evidence before cleanup begins.
| Pass | ID | Check | Method | Expected result | Evidence |
|---|---|---|---|---|---|
V-01Blocking | Workflow graph and step order reconciliation | Compare source inventory, transformed output, destination results, and a stratified sample for workflow graph and step order. | Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive. | Workflow graph and step order ledger with counts, exceptions, sample IDs, and owner sign-off. | |
V-02Blocking | App connectors and operation coverage reconciliation | Compare source inventory, transformed output, destination results, and a stratified sample for app connectors and operation coverage. | Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive. | App connectors and operation coverage ledger with counts, exceptions, sample IDs, and owner sign-off. | |
V-03Blocking | Credentials and OAuth connections reconciliation | Compare source inventory, transformed output, destination results, and a stratified sample for credentials and oauth connections. | Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive. | Credentials and OAuth connections ledger with counts, exceptions, sample IDs, and owner sign-off. | |
V-04Blocking | Field mappings and expressions reconciliation | Compare source inventory, transformed output, destination results, and a stratified sample for field mappings and expressions. | Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive. | Field mappings and expressions ledger with counts, exceptions, sample IDs, and owner sign-off. | |
V-05Blocking | Schedules, polling, and webhook triggers reconciliation | Compare source inventory, transformed output, destination results, and a stratified sample for schedules, polling, and webhook triggers. | Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive. | Schedules, polling, and webhook triggers ledger with counts, exceptions, sample IDs, and owner sign-off. | |
V-06Blocking | Error handling, retries, and partial execution reconciliation | Compare source inventory, transformed output, destination results, and a stratified sample for error handling, retries, and partial execution. | Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive. | Error handling, retries, and partial execution ledger with counts, exceptions, sample IDs, and owner sign-off. | |
V-07 | Data stores, variables, and shared components reconciliation | Compare source inventory, transformed output, destination results, and a stratified sample for data stores, variables, and shared components. | Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive. | Data stores, variables, and shared components ledger with counts, exceptions, sample IDs, and owner sign-off. | |
V-08 | Execution history and replay evidence reconciliation | Compare source inventory, transformed output, destination results, and a stratified sample for execution history and replay evidence. | Every in-scope item is present, intentionally transformed, explicitly excluded, or retained in the signed source archive. | Execution history and replay evidence ledger with counts, exceptions, sample IDs, and owner sign-off. |
Remove the scaffolding safely.
Safe after: One complete operating cycle, at least seven stable days, and owner sign-off on every blocking check and exception.
- Create final Make exports and archive verification, access, financial, and rollback evidence.
- Revoke temporary credentials, API keys, webhooks, elevated roles, and migration network access.
- Remove obsolete jobs, embeds, domains, integrations, collectors, routes, and DNS records.
- Keep the source intact and read-only through the approved legal and operational retention window.
- Cancel paid plans only after billing, legal, security, evidence, and recovery review.
- Schedule the next Zapier backup, restore test, access review, and migration-playbook review.
Verify against the primary material.
Platform behavior changes. Check these sources and the review dates above before executing a production migration.
- Make: official portability and migration documentationAccessed 2026-07-20
- Zapier: official portability and migration documentationAccessed 2026-07-20