CRM migration

Migrate from Property Raptor to Odoo CRM

Field-level mapping, validation, and rollback between Property Raptor and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.

Property Raptor logo

Property Raptor

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

100%

14 of 14

objects map 1:1 between Property Raptor and Odoo CRM.

Complexity

BStandard

Timeline

3–5 days

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Property Raptor is a purpose-built real estate CRM backed by Salesforce's data model, which means it inherits the full Salesforce object graph: Contacts, Accounts, Opportunities, custom objects, and Activity history. Odoo CRM uses a different architecture — its crm.lead model handles both inbound leads and Opportunities within a single object, res.partner consolidates contacts and companies, and pipeline stages live on crm.stage records scoped to sales teams rather than tied to record types. The migration therefore involves collapsing a Salesforce-style normalized schema into Odoo's flatter model, which requires decisions about how to handle Property Raptor's real-estate-specific objects (listings, viewings, offers) that have no direct Odoo CRM equivalent. We extract from Property Raptor via the Salesforce API, transform field names and pick-list values to match Odoo's XML field definitions, and load through Odoo's xmlrpc/CSV import interface with relationship resolution for res.partner records before crm.lead records. Workflows, automations, and Salesforce Flow definitions do not migrate — we export those definitions as JSON for your Odoo developer to reference when rebuilding in Odoo's Actions and Automations. The delta-pickup window (24–48 hours) captures any deals or contacts modified in Property Raptor during the cutover window so Odoo reflects your final state at go-live.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Property Raptor logo

Property Raptor

What's pushing teams away

  • Gartner reviewers explicitly call out that integration with common listing platforms 'is not well-developed' and that UI/UX could be more user-friendly — counter to the 30+ portals marketing claim.
  • Support is unavailable outside business hours, forcing reliance on a chatbot for off-hours issues, which is problematic for agencies operating across multiple time zones.
  • Pricing is fully custom and sales-led — no published per-user tiers means buyers cannot evaluate cost without a sales conversation.
  • Implementation is slow and requires dedicated CRM admin capability, ruling out solo agents or small brokerages wanting fast self-serve onboarding.
  • Workflows and automations are Salesforce-native and not portable — exiting the platform means rebuilding every workflow rule, lead routing, and notification trigger from scratch.

Choosing

Odoo CRM logo

Odoo CRM

What's pulling them in

  • Teams choose Odoo CRM for its modular architecture — one base install with one-click app additions means they can adopt CRM alone and add accounting, inventory, or sales later as the business grows.
  • Small businesses pick Odoo because the Community edition is free and open-source, with no per-user or contact limits, allowing full evaluation before committing to a paid Enterprise tier.
  • The drag-and-drop Kanban pipeline and AI lead scoring are highlighted across G2 reviews as concrete features that make lead management faster and more visual than spreadsheet-based workflows.
  • Odoo's native integration with email, live chat, SMS, VoIP, and WhatsApp means inbound leads from multiple channels feed into a single pipeline without third-party middleware.
  • Companies in retail, supply chain, and construction value that Odoo's CRM module shares the same PostgreSQL database and UI as its ERP modules, eliminating data silos between sales and operations.

Object mapping

How Property Raptor objects map to Odoo CRM

Each row shows how a Property Raptor object lands in Odoo CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Property Raptor

Contact (Buyer/Tenant/Seller)

maps to

Odoo CRM

res.partner

1:1
Fully supported

Property Raptor Contacts migrate as Odoo res.partner records. Odoo's name field holds the full contact name split from Property Raptor's firstname and lastname fields. Partner type (customer, instructor, etc.) is set via Odoo's is_customer flag based on the contact's role in Property Raptor.

Property Raptor

Account (Agency/Developer/Owner)

maps to

Odoo CRM

res.partner (company type)

1:1
Fully supported

Property Raptor Companies migrate as res.partner records with is_company=True. Odoo resolves the company-parent relationship for individual contact records so that each agent or buyer is linked to their parent company partner. Street, city, and country fields map directly using Odoo's address fields format.

Property Raptor

Property Raptor Custom Object: Listing/Property

maps to

Odoo CRM

product.product + custom fields on crm.lead

1:1
Fully supported

Property Raptor listings have no direct Odoo CRM equivalent. We migrate listing data as product.product records with custom fields (bedrooms, bathrooms, property_type, listing_status) added via Odoo's custom field interface. Active listings also link to a crm.lead opportunity so the pipeline tracks the listing as an asset.

Property Raptor

Deal / Opportunity (Buyer Journey or Seller Listing)

maps to

Odoo CRM

crm.lead

1:1
Fully supported

Property Raptor Deals migrate as Odoo crm.lead records. The lead_type field distinguishes between 'opportunity' (active deal) and 'lead' (inbound enquiry). Stage names from Property Raptor pipelines map to Odoo crm.stage records. Each Odoo sales team (crm.team) can have its own stage configuration, so multi-pipeline setups in Property Raptor map to separate crm.team records in Odoo.

Property Raptor

Pipeline / Sales Process

maps to

Odoo CRM

crm.team + crm.stage

1:1
Fully supported

Each Property Raptor pipeline becomes a dedicated Odoo crm.team. The pipeline stages migrate as crm.stage records ordered by sequence within that team. Stage probability percentages are stored on crm.stage records and are used by Odoo's forecasting engine. Stage names are preserved as Odoo stage names for reporting continuity.

Property Raptor

Stage History / Timeline

maps to

Odoo CRM

crm.lead (stage_id + date_closed)

1:1
Fully supported

Property Raptor records stage-transition timestamps on deal history. Odoo crm.lead stores only current stage_id and date_closed. We preserve historical stage transitions as a custom Stage_History__c text field in JSON format (stage name + ISO timestamp) for audit and reporting continuity.

Property Raptor

Viewing / Appointment

maps to

Odoo CRM

calendar.event

1:1
Fully supported

Property Raptor Viewing records migrate as Odoo calendar.event records. The event is linked to the res.partner (contact) and the product.product (listing) using Odoo's many2one fields. Start and stop datetimes are preserved. Viewing outcome (attended, cancelled, no-show) stored as a custom field.

Property Raptor

Offer / Submission

maps to

Odoo CRM

crm.lead (custom fields)

1:1
Fully supported

Property Raptor Offer objects have no Odoo equivalent. We migrate offer data (offer_amount, offer_status, offer_date, offer_notes) as custom fields on crm.lead for the related listing opportunity. Offer documents and attachments are stored in Odoo's ir.attachment model linked to the lead.

Property Raptor

Task / Activity (Call, Email, Note)

maps to

Odoo CRM

mail.activity + mail.message

1:1
Fully supported

Property Raptor logged calls and emails map to Odoo mail.activity records attached to crm.lead or res.partner. Activity type, subject, date, and outcome (completed, cancelled) are preserved. Odoo's mail.activity model supports a subtype field that we map from Property Raptor's activity type.

Property Raptor

Owner / User

maps to

Odoo CRM

res.users (matched by email)

1:1
Fully supported

Property Raptor owner IDs are resolved by matching the Salesforce User's email address to an existing Odoo res.users record. We generate an owner mapping report before migration that lists every Property Raptor owner, their email address, and their Odoo user status — whether the user exists, is inactive, or is not found. Your Odoo admin can create the missing Odoo user accounts ahead of migration, or accept reassignment of unmatched owners to a designated fallback sales team member.

Property Raptor

Attachment / File (Listing photos, Offer PDFs)

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

Property Raptor file attachments on listings, offers, and deals are downloaded and re-uploaded to Odoo's ir.attachment table. Files are linked to their parent record (product.product for listings, crm.lead for offers) using Odoo's res_model and res_id fields. Odoo's 25MB per-file limit applies to each attachment during migration.

Property Raptor

Lead Source / Campaign Attribution

maps to

Odoo CRM

crm.lead (source_id)

1:1
Fully supported

Property Raptor lead source data (portal enquiry, referral, website, listing portal) is mapped to Odoo crm.lead source_id using Odoo's utm.source records. Source name and medium are both preserved so that Odoo's lead attribution reporting remains functional after migration. Odoo utm.campaign links are created for multi-touch attribution tracking across multiple touchpoints.

Property Raptor

Custom Property Raptor Fields

maps to

Odoo CRM

Custom fields on res.partner / crm.lead / product.product

1:1
Fully supported

Property Raptor's custom Salesforce fields (e.g., pre-qualification_status, mortgage_approved, property_requirement) are migrated as Odoo custom fields. Field type mapping follows this pattern: text → char, pick-list → selection, number → float, date → date. Each custom field requires Odoo Technical Mode setup before migration data loads — we deliver a field manifest specifying every field name, type, and target model.

Property Raptor

Workflow / Automation (not migratable)

maps to

Odoo CRM

Manual rebuild required

1:1
Fully supported

Property Raptor workflows built on Salesforce Flow do not have an Odoo equivalent. We export your workflow definitions as JSON documentation so your Odoo developer can rebuild them using Odoo's Automations (Settings > Automations > Automated Actions) or the Studio module. This is a manual step — plan 2–4 weeks for complex workflow recreation.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Property Raptor logo

Property Raptor gotchas

Medium

Salesforce API limits apply to all migrations

High

Workflows and automations are non-portable

Medium

Regional customization creates picklist mapping complexity

Low

Portal-specific listing IDs do not transfer between systems

Odoo CRM logo

Odoo CRM gotchas

High

Odoo.sh version gating blocks assisted migrations from trial

High

Enterprise modules fail to install on Community after database restore

Medium

Custom module view inheritance breaks between Odoo major versions

Medium

Custom fields risk losing their application context on Community

Low

API access for Community is gated behind the Custom Plan

Pair-specific challenges

  • Property Raptor listings have no native Odoo equivalent — custom fields on product.product are required

    Odoo CRM has no built-in Listings or Properties object. Property Raptor's listing records (with fields like bedrooms, bathrooms, listing_price, property_type) must be migrated as Odoo product.product records with custom fields added manually via Odoo's Technical Settings before data loads. If your team uses multiple listing portals (PropertyFinder, Rightmove, Zoopla), each portal association also needs a custom field or tag on product.product. Plan 1–2 days of Odoo custom field setup before migration data is imported — without these fields in place, listing records will load with data in the wrong columns.

  • Odoo's crm.lead does not support multi-stage history — stage timelines require a custom field audit log

    Salesforce (and by extension Property Raptor) stores every stage transition with a timestamp on the OpportunityHistory object. Odoo's crm.lead model tracks only the current stage_id and close date. When migrating Property Raptor deals with long histories (e.g., a listing that sat in 'Under Review' for three months before advancing), the stage timeline is collapsed into the current stage in Odoo. We preserve the full stage transition history as a custom field (Stage_History_JSON__c) on each crm.lead so your team can query it via Odoo's custom reporting or SQL views, but it is not visible in Odoo's native pipeline view.

  • Odoo has no Salesforce Record Type equivalent — pipeline isolation requires separate crm.team records

    Property Raptor (Salesforce-backed) uses record types to separate deal types (Buyer Journey pipeline vs. Seller Listing pipeline) so each pipeline has its own pick-list values and page layouts. Odoo does not have record types — all opportunities in a crm.team share the same stage pick-list. If your Property Raptor setup has more than one pipeline with overlapping stage names but different meanings, you must create separate crm.team records in Odoo for each Property Raptor pipeline. This means Odoo users working across both buyer and seller deals will see two separate pipeline views (one per crm.team) rather than one unified view — a workflow change your agents must adopt.

  • Property Raptor's portal integrations (PropertyFinder, Rightmove, Zoopla) are not migratable

    Property Raptor integrates with property listing portals via Salesforce-connected apps or API-based integrations. These integrations are configured in Property Raptor's settings and store credentials, webhook URLs, and sync rules that are specific to the Salesforce platform. Odoo has its own portal integration module (Odoo Multi-Website or custom connectors for Rightmove/Zoopla) that must be rebuilt from scratch. We provide a configuration reference document listing each portal integration's sync settings so your Odoo developer can reconfigure them post-migration. During the cutover window, listings will not sync — plan for a manual republish step on portal sites.

  • Odoo Community edition requires manual custom field creation before data import

    Odoo Enterprise supports installing custom field packages via Apps, but Odoo Community requires custom fields to be added via Technical Mode (Settings > Technical > Database Structure > Models > Fields > Add a Field) before data imports run. If your Property Raptor setup has more than 10 custom fields, pre-creating them in Odoo Community is a prerequisite step that must be completed by someone with Developer Mode access. We deliver a custom field manifest listing every field name, type, and target model (res.partner, crm.lead, or product.product) so your Odoo admin can create them before migration day without guesswork.

Migration approach

Six steps for a successful Property Raptor to Odoo CRM data migration

  1. Audit Property Raptor Salesforce schema and extract data via API

    We connect to Property Raptor using its Salesforce API credentials and enumerate all standard and custom objects — Contact, Account, Opportunity, Property Raptor Listing, Property Raptor Offer, Property Raptor Viewing, Task, Event, and any custom Salesforce objects. We export field definitions (label, API name, type, pick-list values) and sample record counts. This audit identifies all custom fields requiring Odoo custom field creation and flags any lookup relationships (AccountId on Opportunity, WhatId on Task) that determine import ordering. The output is a migration manifest reviewed and approved by your team before extraction begins.

  2. Create Odoo custom fields and configure crm.team structure

    Before any data loads, we create all custom fields in Odoo: x_property_type, x_bedrooms, x_bathrooms, x_listing_status, x_offer_amount, x_offer_status, x_offer_date, x_viewing_result on the appropriate models. We also configure crm.team records to match Property Raptor's pipeline count — each pipeline becomes one crm.team so stage isolation is preserved. crm.stage records are created in sequence order matching Property Raptor's pipeline stages, with probability percentages set for forecasting accuracy. This step requires Odoo Developer Mode access. We provide a detailed field manifest and crm.team setup plan as a checklist your Odoo admin executes or that our team performs via Odoo Technical Mode.

  3. Resolve owner relationships and create Odoo res.users

    Property Raptor owner IDs (Salesforce User IDs) are resolved by email address against Odoo res.users. We generate an owner mapping report listing every Property Raptor owner, their email, their Odoo user status (exists / not found / inactive), and their assigned crm.team. Your Odoo admin creates missing user accounts before migration so no record lands without an owner. Any Property Raptor owner with no corresponding Odoo user is reassigned to a designated fallback user flagged in the mapping report. After owner resolution is confirmed, we load res.partner records (companies and contacts) first — Odoo requires partner records to exist before crm.lead records can reference them via partner_id.

  4. Load property listings as product.product records

    Property Raptor listing records are loaded as Odoo product.product entries using the CSV/XML import via Odoo's Settings > Import button or xmlrpc API. Listing price maps to list_price, property_type to the custom x_property_type selection field, and listing_status to x_listing_status. After import, we verify record counts and spot-check field values against the source export. Listing attachments (photos, floor plans) are downloaded from Property Raptor and re-uploaded to Odoo's ir.attachment table linked to each product.product record.

  5. Run sample migration with field-level diff on crm.lead records

    A representative slice (typically 100–300 records across contacts, companies, deals, listings, and activities) is migrated first using Odoo's import tool in test mode. We generate a field-level diff report comparing source Property Raptor field values against destination Odoo field values for each record, flagging any value mismatches. This report is reviewed with your team to confirm stage mapping, owner resolution, deal amount accuracy, and product.listing linking before the full migration commits. Common issues caught at this stage include incorrect stage_id values, missing partner_id links, and pick-list values not matching Odoo's selection field options.

  6. Execute full migration with delta-pickup window and post-migration audit

    The full dataset loads into Odoo in the correct dependency order: res.partner first, then product.product (listings), then crm.lead (deals/lead), then calendar.event (viewings), then mail.activity (logged calls and emails), then ir.attachment (files). During the migration, your team continues working in Property Raptor. A delta-pickup window (24–48 hours after the full load) captures any records modified or created in Property Raptor during cutover, applying the same field mapping to bring those records into Odoo. We deliver a post-migration audit log listing every record migrated, any errors encountered, and the total record count by object type. One-click rollback is available if reconciliation identifies systematic data issues.

Platform deep dives

Context on both ends of the pair

Property Raptor logo

Property Raptor

Source

Strengths

  • Built on Salesforce infrastructure with enterprise-grade security and scalability from Hong Kong-based IMS.
  • AI-powered property matching and recommendation engine for connecting clients with suitable properties.
  • Multi-region and multi-currency support for agencies operating across different markets.
  • Native integrations with major listing portals including Rightmove, Zoopla, PropertyFinder, and Bayut.
  • WhatsApp Business, email, and chat automation within a unified CRM workflow.

Weaknesses

  • Pricing is fully custom and requires direct consultation, making cost estimation difficult without a sales conversation.
  • Implementation can be complex and slow, with users reporting extended setup timelines.
  • Limited native email integration — relies on Salesforce internal delivery or external Gmail and Outlook connections.
  • Offline access is not supported as Property Raptor is a fully online SaaS application.
  • Workflows and automations do not migrate directly and must be rebuilt on the destination platform.
Odoo CRM logo

Odoo CRM

Destination

Strengths

  • Modular open-source architecture lets teams start with CRM and add ERP apps as needs grow, all sharing one PostgreSQL database.
  • Free Community edition with no contact limits and full source code access means zero licensing cost for evaluation and small deployments.
  • Drag-and-drop Kanban pipeline with AI lead scoring gives a visual, prioritized view of the sales funnel without requiring custom configuration.
  • Native integrations with email, live chat, SMS, VoIP, WhatsApp, and social media feed all inbound leads into a single unified inbox.
  • Active Odoo Community Association (OCA) maintains dozens of community-maintained modules on GitHub for extended functionality.

Weaknesses

  • Gmail and email integration reliability is a recurring complaint — threads drop and conversations scatter across inboxes, disrupting sales team workflows.
  • Enterprise edition pricing stacks quickly: multiple apps at per-user rates ($25–$50/user/month) plus Odoo.sh hosting costs more than many SMBs anticipate.
  • Setup and configuration complexity increases significantly once custom fields, automation rules, and multiple installed modules are in play.
  • Odoo.sh trial databases run on a version (e.g., 18.3) that is not directly migratable to Odoo.sh, blocking the assisted migration path Odoo advertises.
  • Version upgrades between major Odoo releases (e.g., 17→18) frequently break custom module view definitions and XPath expressions, requiring manual remediation.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Property Raptor and Odoo CRM.

  • Object compatibility

    B

    1 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Property Raptor: Specifically minimized by design; limits may be extended for high-usage patterns but this is rare.

  • Data volume sensitivity

    A

    Property Raptor exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Property Raptor to Odoo CRM migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Property Raptor to Odoo CRM data migrations

Answers to the questions buyers ask most during Property Raptor to Odoo CRM migration scoping. Not seeing yours? Book a call.

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Book a free 30 minute consultation

Most Property Raptor to Odoo CRM migrations complete in 3–5 days of execution time for setups with under 25,000 records and a single listing pipeline. Complex migrations with multiple custom Salesforce objects, more than 200,000 records, or multi-branch crm.team configurations extend to 10–15 days. The longest planning step is pre-creating Odoo custom fields and configuring crm.team stage structures — plan 3–5 business days for that setup before data extraction begins.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Property Raptor.
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