Migrate from HomeSpotter Spacio to HighLevel

Open house event context requires a Custom Object that doesn't exist in HighLevel natively

HighLevel ships with Contacts, Companies, Opportunities, and Tasks as standard objects — but no Open_House_Event__c equivalent exists out of the box. FlitStack AI creates this Custom Object with fields for event date, property lookup, agent lookup, and registrant count. The trickier part is the many-to-many relationship between Open_House_Event__c and Contact: HighLevel Custom Objects support lookups but not junction objects in the same way Salesforce does, so we model the registrant-to-event link as a separate Open_House_Registrant__c Custom Object with two lookup fields (Contact__c and Open_House_Event__c). This requires the Custom Object schema to be provisioned in your HighLevel sub-account before data ingestion begins — we include a schema setup checklist with the migration plan.

Spacio's API rate-limit ceiling of 12,000 requests/hour throttles large migrations

The Spacio API at ws.spac.io/api/v1/ defaults to a 12,000-requests-per-hour cap per API key. For a brokerage with 50,000 registrant records, 5,000 properties, and 2,000 open house events, a naive full export can hit this ceiling in under an hour of sustained pulling. FlitStack AI paces its Spacio export client to 10,000 requests per hour, leaving headroom for any in-flight follow-up API calls from Spacio's own integrations. This adds a time multiplier — plan roughly 5–6 hours of export time per 50,000 registrant records. We surface the estimated export duration before the migration run so your team can schedule accordingly.

Custom sign-in questions create per-question custom fields that proliferate in HighLevel

Spacio agents routinely configure 3–7 custom questions per open house event (e.g., 'Pre-approved for a mortgage?', 'Best time to reach you?', 'Currently working with an agent?'). Each unique question text becomes a Contact custom field in HighLevel after migration. If the same question appears across 200 events (which is common for teams using a standard form), FlitStack deduplicates it — one field per unique question text. But a brokerage with 30 genuinely different custom questions across teams creates 30 Contact custom fields, which is manageable but requires the HighLevel admin to plan a logical grouping or use field sets to keep the Contact layout clean. We deliver a custom field inventory with the migration plan so your admin can organize them before go-live.

Spacio's automated follow-up emails must be rebuilt in HighLevel — no template migration

Spacio's built-in post-open-house email to registrants fires automatically when an event is marked complete — this is a platform-native automation that lives inside Spacio's workflow engine and has no data-layer equivalent in HighLevel. FlitStack AI cannot migrate the email body, timing logic, or conditional branches because Spacio does not expose its automation definitions via API. We export each email template as an HTML file and document the trigger conditions (event completion, registrant email not empty, send within X hours). Your HighLevel admin rebuilds these as Workflows using the 'Event Completed' trigger and the 'Send Email' action. We include a rebuild reference sheet in the migration deliverable.

Spacio social profile enrichment does not replicate in HighLevel without a re-enrichment step

Spacio automatically attaches LinkedIn, Facebook, and other social profile URLs to registrants when the email address matches a public social account — this is an in-platform enrichment step that runs at registration time. Migrating these URLs into HighLevel custom fields (LinkedIn_URL__c, Facebook_URL__c, etc.) preserves the historical data as of migration day, but HighLevel does not natively run the same social profile lookup. If ongoing social enrichment is part of your lead intelligence workflow, you would need to connect a HighLevel-compatible enrichment tool (e.g., Clearbit, Apollo) as a post-migration step. We document the current social URLs in the migration so your team can decide whether to rely on the historical data or re-enrich.