Authenticate with OAuth 2.0 to obtain an access token with the scope of contacts.readonly. Include the token in the Authorization header for every request, and ensure your GHL app has the required permissions.
Rankr authenticates to GHL using OAuth tokens obtained via a secure backend. Store tokens securely, rotate them regularly, and never expose them in client-side code.
Endpoints you may use with LeadByte and Rankr include: GET /contacts/:contactId, GET /contacts/:contactId/tasks, GET /contacts/:contactId/tasks/:taskId, GET /contacts/:contactId/notes, GET /contacts/:contactId/notes/:id, GET /contacts/:contactId/appointments, GET /contacts/, GET /contacts/business/:businessId, POST /contacts/, PUT /contacts/:contactId, DELETE /contacts/:contactId, POST /contacts/:contactId/tasks, PUT /contacts/:contactId/tasks/:taskId, PUT /contacts/:contactId/tasks/:taskId/completed, DELETE /contacts/:contactId/tasks/:taskId, POST /contacts/:contactId/tags
Trigger: When a new lead is captured in Rankr, fetch the contact in GHL to sync details.
Actions: Populate Rankr contact fields from GHL contact data and update notes and tasks as needed.
GET /contacts/:contactId
Key fields: contactId, email, name, phone
Trigger: Task changes in GHL update Rankr task lists.
Actions: Bring task data into Rankr and link to the corresponding contact.
GET /contacts/:contactId/tasks and GET /contacts/:contactId/tasks/:taskId
Fields: taskId, status, dueDate, title
Trigger: Notes added or updated in GHL refresh Rankr timelines.
Actions: Sync notes into Rankr and attach to the appropriate contact’s activity feed.
GET /contacts/:contactId/notes and GET /contacts/:contactId/notes/:id
Fields: id, content, createdAt
Automate data syncing between Rankr and GHL without writing code.
Keep contacts, tasks, and notes up to date in real time.
Scale workflows with simple, reliable API-based automation.
A quick reference to the main elements and processes used when connecting Rankr to the GHL Contacts API.
A single person entry in the GHL Contacts API containing identifiers and personal data you read or update.
An API route you call to perform an action on data (for example, GET /contacts/:contactId).
A unit of work assigned to a contact, tracked in GHL and synchronized with Rankr.
A memo attached to a contact, used for context and history.
Trigger a real-time flow to create or update a GHL contact whenever Rankr captures a new lead, ensuring both systems stay in sync.
Push tasks, notes, and completed events into a unified activity timeline in GHL from Rankr to provide a complete history.
Aggregate metrics from GHL and Rankr to build cross-system dashboards and reports for executives.
Obtain OAuth 2.0 tokens for your GHL account and grant Rankr the requested scopes.
Choose endpoints (for example, GET /contacts/:contactId and GET /contacts/:contactId/tasks) and map fields to Rankr data.
Run integration tests to validate data flow, then deploy to production.
Reading a single contact returns the details for that contact, including personal data. Listing all contacts returns a collection that you can paginate, filter, and search. In Rankr, you typically fetch a specific contact to update the CRM person or pull context for an automation. The endpoints you use depend on whether you need a single record or a batch view.
Authentication is via OAuth 2.0. You obtain access tokens using your GHL account credentials and authorize Rankr to access the required scope. Always store tokens securely and include them in the Authorization header for every request. Rotate tokens regularly and follow best security practices.
Useful endpoints for sales workflows include GET /contacts/:contactId, GET /contacts/:contactId/tasks, and GET /contacts/:contactId/notes. Combining these endpoints lets you build a complete view of a contact’s basics, activities, and history within Rankr.
Yes. You can write or update a contact using PUT /contacts/:contactId or POST /contacts/ and related endpoints for tasks and notes. After writing, re-fetch the updated contact to confirm changes and keep data consistent.
Data sync can be near real-time when requests succeed and tokens remain valid; latency depends on network conditions and rate limits. If real-time delivery is critical, consider a polling cadence or batch processing approach to balance load and freshness.
No-code integration is possible for many common use cases using REST endpoints and a builder like Rankr. Coding is only required for custom transformations, complex field mappings, or advanced logic.
Rate limits vary by GHL plan. Start with conservative polling and implement exponential backoff to handle throttling. Refer to the GHL API docs for current quotas and best practices to optimize throughput.
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