Authenticate access to the Contacts API in GHL by configuring credentials, selecting the scope (contacts.readonly), and testing with a sample contact. Use OAuth 2.0 where supported or API keys if required.
Authorize BDOW FKA Sumo to access your Contacts in GHL. Create a connected app, grant the necessary scopes, and store tokens securely. Rotate credentials regularly.
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: a contact is created or updated in BDOW; push to GHL using POST /contacts/ or PUT /contacts/:contactId.
Actions: create or update the contact in GHL; optionally create related tasks or notes.
Method: pull via webhooks or schedule polls, and apply changes via the REST endpoints.
Key fields: contactId, email, firstName, lastName, phone, status.
Trigger: updates to tasks or notes in BDOW; reflect in GHL via PUT/POST for /contacts/:contactId/tasks and /contacts/:contactId/notes.
Actions: create/update tasks and notes; mark completion; attach to the corresponding contact.
Method: push on event or poll; use endpoints 13-16 (tasks) and 4-5 (notes) and 6 (appointments) if needed.
Key fields: taskId, noteId, contactId, content, dueDate, status.
Trigger: business updates for a contact via endpoint 8; propagate to GHL.
Actions: update the contact’s company fields or groups; set tags based on business data.
Method: GET/PUT to /contacts/business/:businessId and mirror changes to GHL contact records.
Key fields: businessId, contactId, businessName, industry, revenue.
All your contact data flows into GHL for sales, marketing, and support without writing code.
Automated task creation, notes capture, and activity tracking directly from BDOW events.
Consistent data across BDOW and GHL with minimal maintenance.
Here are the key data elements and processes used in this integration, to help you understand how data moves between BDOW FKA Sumo and GHL.
Application Programming Interface that lets systems talk to each other.
A specific URL in the API that performs an action or returns data.
Standard authorization protocol used to grant limited access to resources without sharing credentials.
Defines what data and actions are allowed for an access token.
Route new leads to the right owner in BDOW and reflect routing changes in GHL notes.
Automatically create follow-up tasks when contact status changes in BDOW.
Aggregate business data to create account-level dashboards in GHL.
Collect API keys, client IDs, and scopes from both BDOW and GHL, then configure in the connector.
Map BDOW events to GHL endpoints (contacts, tasks, notes), set webhook or polling method as preferred.
Run test data, verify data integrity, set up alerts for failures.
No coding is required to start. Use the built-in connectors in GHL to map BDOW FKA Sumo data to the Contacts API, configure scopes, and enable simple data flows. If you need advanced logic, you can add lightweight automation through webhooks or Zapier-style flows. The goal is to get reliable data movement with minimal setup.
For most setups you will start with endpoints that read and write contacts (GET /contacts/:contactId, POST /contacts/, PUT /contacts/:contactId). You’ll also want access to tasks and notes (GET /contacts/:contactId/tasks, GET /contacts/:contactId/notes) to reflect activity. Endpoints for updating or deleting contacts (PUT, DELETE) are essential for maintaining data parity.
Security is driven by OAuth 2.0 or API keys and scoped access (e.g., contacts.readonly). Tokens should be stored securely and rotated regularly. Use HTTPS for all calls, monitor for unusual activity, and implement retries with exponential backoff to handle transient failures.
Respect API rate limits by spreading requests and using efficient polling intervals. Implement retry logic with backoff and log quota usage. If limits are hit, queue requests and retry after the window resets to avoid failures.
Yes. Field mappings between BDOW and GHL can be customized in the connector. You can map contact fields like email, first/last name, and phone, as well as related data such as tasks and notes, to ensure consistent data across systems.
API documentation is available in the GHL developer portal and the BDOW integration docs within Rankr. You’ll find endpoint references, authentication guidance, and example payloads to speed setup.
Enable error logging and set up alerts for failures. Use structured logs for payloads and responses, and implement a retry strategy. Regularly review failed items and reprocess them to maintain data integrity.
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