HRMS migration
Field-level mapping, validation, and rollback between Jobtoolz and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.
Jobtoolz
Source
Recruit CRM & ATS
Destination
Compatibility
9 of 10
objects map 1:1 between Jobtoolz and Recruit CRM & ATS.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Jobtoolz to Recruit CRM is a CSV-first migration because Jobtoolz does not expose its core ATS objects through a public REST endpoint — the API is limited to employer-branding content. We work around this by sequencing candidate exports from the built-in CSV download function, chunking large datasets by date range or pipeline stage, and mapping Vacancy-to-Job relationships at the field level before loading into Recruit CRM. Recruit CRM accepts candidates, jobs, clients, and pipeline data via its REST import API, which we call with rate-limit handling and batch chunking. Custom pipeline stages from Jobtoolz are captured during scoping, collapsed against Recruit CRM's stage model, and approved by the customer before migration. We do not migrate workflows, automations, or sequence cadences as code; we deliver a written inventory of these for the customer's admin to rebuild post-migration. Candidate attachments (resumes, cover letters) are downloaded from the authenticated Jobtoolz session and reattached to the corresponding record in Recruit CRM.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Jobtoolz object lands in Recruit CRM & ATS, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Jobtoolz
Candidate
Recruit CRM & ATS
Candidate
1:1Jobtoolz Candidates map directly to Recruit CRM Candidate records. We export the candidate list via Jobtoolz's built-in CSV download from the Candidates list view, chunking exports by date range or pipeline stage for databases exceeding 2,000 records. Each row maps to a Recruit CRM Candidate with fields including name, email, phone, current role, location, and source. Custom candidate fields from Jobtoolz are preserved as typed custom properties in Recruit CRM, with any date-format mismatches corrected during the transform step.
Jobtoolz
Application
Recruit CRM & ATS
Candidate Pipeline Entry
1:1Jobtoolz Application records link a Candidate to a Vacancy and store the full stage history. We map the Application status to Recruit CRM's candidate pipeline stage field, noting that Jobtoolz stages are tenant-defined and may exceed Recruit CRM's named stage categories. Stage history timestamps migrate as custom date fields on the Candidate record if the destination supports them, or are preserved in a notes field for manual entry by the recruiter.
Jobtoolz
Vacancy
Recruit CRM & ATS
Job
1:1Jobtoolz Vacancy objects map to Recruit CRM Job records. Fields mapped include job title, department, location, employment type, job description, and salary range. Custom vacancy fields migrate as custom properties on the Recruit CRM Job object. The Vacancy status (active, paused, closed) maps to Recruit CRM's job status field with direct value transfer.
Jobtoolz
Pipeline Stages
Recruit CRM & ATS
Pipeline Stages
lossyJobtoolz allows arbitrary custom stage names and counts per pipeline. Recruit CRM uses a named stage model per pipeline with configurable stage values. We capture the full custom stage sequence during scoping, generate a stage mapping table that collapses Jobtoolz stages into the nearest Recruit CRM stage equivalent, and submit this table for customer approval before migration. Stages that cannot map directly are merged into a single catch-all stage with a note field capturing the original stage name.
Jobtoolz
Custom Candidate Fields
Recruit CRM & ATS
Custom Candidate Properties
1:1Jobtoolz custom fields on candidate records are exported as additional columns in the candidate CSV. We recreate each custom field as a typed custom property in Recruit CRM (text, number, date, or picklist depending on the detected format), populate the values during candidate import, and flag any type mismatches for manual correction. Fields that exist in Jobtoolz but have no Recruit CRM equivalent are added as text custom properties.
Jobtoolz
Document / Attachment
Recruit CRM & ATS
Candidate Attachment
1:1Resume and cover letter attachments associated with Jobtoolz candidates are downloaded from the authenticated Jobtoolz session and reattached to the corresponding Candidate record in Recruit CRM. We process attachments in batches of 50 to avoid session timeouts, verify file integrity via MD5 checksum against the source, and re-upload to Recruit CRM using the candidate attachment API endpoint. Files exceeding Recruit CRM's attachment size limit are flagged for the customer to re-upload manually.
Jobtoolz
Employer Branding Content
Recruit CRM & ATS
Company Branding / Careers Page Content
1:1Jobtoolz's employer branding assets, career site content, and job ad templates are accessible via the authenticated Content API with Bearer token authentication. We export this content as structured JSON including company logo, brand colors, careers page copy, and job posting templates, then import it into Recruit CRM's careers page builder and branding settings. Job ad templates map to Recruit CRM's job description templates.
Jobtoolz
User / Team Member
Recruit CRM & ATS
User
1:1Jobtoolz team member accounts are mapped to Recruit CRM User records. Role and permission structures differ between platforms; we assign default recruiter roles in Recruit CRM and flag any accounts with elevated permissions (admin, billing) for the customer's admin to configure post-migration. Active status migrates directly; inactive accounts in Jobtoolz are recreated as inactive in Recruit CRM pending the admin's decision.
Jobtoolz
Candidate Source
Recruit CRM & ATS
Candidate Source
1:1Jobtoolz tracks candidate sourcing channels (LinkedIn, referral, job board, direct application). Source data is stored as a field on the Candidate record and migrates to Recruit CRM's source field with direct value transfer. If the source value does not exist in Recruit CRM's picklist, we add it as a new source option during setup.
Jobtoolz
Client / Customer Organization
Recruit CRM & ATS
Client
1:1If Jobtoolz stores client or customer organization records separate from vacancies (some SME configurations track this), we map them to Recruit CRM Client records. Client name, contact person, industry, and notes migrate as fields. Address and billing information migrates to the Client's address fields or custom properties as applicable.
| Jobtoolz | Recruit CRM & ATS | Compatibility | |
|---|---|---|---|
| Candidate | Candidate1:1 | Fully supported | |
| Application | Candidate Pipeline Entry1:1 | Fully supported | |
| Vacancy | Job1:1 | Fully supported | |
| Pipeline Stages | Pipeline Stageslossy | Mapping required | |
| Custom Candidate Fields | Custom Candidate Properties1:1 | Mapping required | |
| Document / Attachment | Candidate Attachment1:1 | Fully supported | |
| Employer Branding Content | Company Branding / Careers Page Content1:1 | Fully supported | |
| User / Team Member | User1:1 | Fully supported | |
| Candidate Source | Candidate Source1:1 | Fully supported | |
| Client / Customer Organization | Client1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Jobtoolz gotchas
No bulk ATS data API forces manual CSV exports for migration scoping
Custom pipeline stages lack a standard schema for destination mapping
HireHive acquisition may introduce schema divergence in future
Recruit CRM & ATS gotchas
API rate limits are license-scaled and can throttle bulk migration
Custom field schemas vary per organization and require field-level mapping
Files and email attachments require separate extraction and re-upload
Email sequences and automation logic do not transfer between platforms
Pair-specific challenges
Migration approach
Discovery and CSV export coordination
We audit the Jobtoolz account to document candidate record counts, vacancy counts, custom field definitions, pipeline stage sequences, and attachment density. Because no bulk ATS API is available, we coordinate with the customer to run CSV exports from the Candidates list view, chunking by date range or pipeline stage for databases exceeding 2,000 records. We cross-reference export row counts against the in-app dashboard totals to verify completeness before mapping begins. The discovery output is a written migration scope including the stage mapping table for customer approval.
Stage mapping table generation and approval
We document every custom pipeline stage name and order defined in Jobtoolz, then generate a mapping table that collapses them into Recruit CRM's structured stage model. The customer reviews and approves the stage mapping before migration proceeds. Any stage that cannot map directly is flagged as a merge target, with the original stage name preserved in a note field on the migrated record. This approval gate prevents data integrity issues post-migration that would require manual correction by the recruiting team.
Custom field schema creation in Recruit CRM
We pre-create all custom candidate properties and custom job properties in Recruit CRM before any data import begins. Custom fields from Jobtoolz are recreated as typed fields (text, number, date, picklist) matching the detected data format. Fields that do not have a native Recruit CRM equivalent are added as text custom properties. We configure the Recruit CRM account settings, user roles, and pipeline structure during this phase so that the destination schema is ready before record import starts.
Attachment extraction and verification
We authenticate into Jobtoolz using the customer's credentials and download all candidate attachments (resumes, cover letters, certificates) in batches of 50. Each file is verified against the candidate record it belongs to and MD5-checksumed to confirm integrity after download. Files are staged locally before re-upload to Recruit CRM. For databases with high attachment density, we run this phase in parallel with the schema creation phase to minimize total migration time.
Candidate and vacancy import with dependency resolution
We import candidate records into Recruit CRM via the platform's REST import API with batch chunking and rate-limit handling. Vacancy records are imported first, followed by candidate records, because Application records link a Candidate to a Vacancy. We resolve the Vacancy reference on each Application before import so that pipeline stage history attaches to the correct Job record. Users are mapped by email match and flagged if no matching Recruit CRM User exists for provisioning.
Cutover, delta sync, and automation inventory delivery
We freeze Jobtoolz writes during cutover, run a final delta migration of any records modified during the migration window, then enable Recruit CRM as the system of record. Candidate attachments are re-uploaded to the corresponding Recruit CRM Candidate record. We deliver a written inventory of any automations, workflows, or sequence cadences configured in Jobtoolz for the customer's admin to rebuild in Recruit CRM. We support a one-week hypercare window where we resolve any data quality issues raised by the recruiting team.
Platform deep dives
Jobtoolz
Source
Strengths
Weaknesses
Recruit CRM & ATS
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Jobtoolz and Recruit CRM & ATS.
Object compatibility
1 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Jobtoolz: Not publicly documented.
Data volume sensitivity
Jobtoolz doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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Category
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