To authorize access to the GHL Contacts API, you’ll use a secure token or OAuth credentials issued by the GHL portal. Store credentials securely, apply the principle of least privilege (only the scopes you need), and rotate keys regularly.
Authenticate Baserow requests with a private API token from your Baserow account. Include the token in request headers and avoid exposing it in client-side code.
The integration exposes a range of endpoints to read data and, where allowed by permission, write data. Core read endpoints cover retrieving a single contact, a contact’s tasks and notes, and listing all contacts as well as filtering by business. Write endpoints (where permitted by your credentials) support creating and updating contacts, tasks, and notes, plus deleting items. The scope shown here is contacts.readonly, and write operations require appropriate elevated permissions. Endpoints 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, and write equivalents such as 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 Baserow or in GHL, initiating a synchronization cycle.
Actions: create or update the corresponding contact in the GHL Contacts API; sync related tasks and notes; reflect changes back to Baserow where appropriate.
Methods: use standard RESTful calls (GET/POST/PUT) to /contacts/:contactId and related resources like /contacts/:contactId/tasks and /contacts/:contactId/notes.
Key fields: contactId, name, email, phone; related IDs for tasks and notes to maintain relationships.
Trigger: a new note or task is created or updated in either app.
Actions: create or update a note or task in the other app; maintain linkage to the parent contact.
Methods: POST /contacts/:contactId/tasks, POST /contacts/:contactId/notes; PUT to update; GET for retrieval.
Fields: noteId, taskId, contactId, status, dueDate, content.
Trigger: changes to a business entity in Baserow initiate a batch sync to GHL.
Actions: fetch all contacts for a given business and push updates to GHL; map fields accordingly.
Methods: GET /contacts/business/:businessId; and use related POST/PUT calls to create or update contacts as needed.
Fields: businessId, contactId, name, email, phone; mapping to GHL contact properties.
Faster CRM workflows with data living in a single, familiar UI—no custom coding required.
Eliminate duplicate data entry by syncing records automatically between Baserow and the GHL Contacts API.
Scale your processes confidently with automated, bidirectional data sync and reliable audit trails.
This section defines the core data elements and processes used when integrating GHL with Baserow: contacts, tasks, notes, authentication, endpoints, field mappings, and data flow.
API stands for Application Programming Interface — a set of rules that lets software applications communicate and exchange data.
OAuth 2.0 is an authorization framework that enables secure delegated access to APIs without sharing user credentials.
An endpoint is a specific URL in an API that performs a defined operation, such as retrieving a contact or updating a task.
An API key is a token used to authenticate requests to an API, granting access to certain operations.
Automatically create or update a GHL contact when a new contact is added in Baserow, ensuring your CRM stays current without manual entry.
Synchronize notes and tasks between Baserow and GHL to maintain a complete activity history across platforms.
Use the business endpoint to bulk sync contacts from Baserow into GHL to support campaigns and account-level management.
Obtain GHL API credentials and generate a Baserow API token. Keep tokens secure and store them in a secret manager.
Set up field mappings, endpoints, and scopes in your integration workflow or Zapier connector. Validate authentication methods and test connectivity.
Run end-to-end tests for reads and writes, monitor logs, fix mappings as needed, and deploy to live once green.
The GHL Contacts API provides endpoints for reading and managing contacts, tasks, notes, and related data. Core endpoints include retrieving a contact, listing contacts, and accessing a contact’s tasks and notes. Depending on your credentials, you may also use endpoints to create or update records. Ensure you start with read-only access (TOGGLE to write when needed) to validate mappings and data flow.
Write operations require elevated permissions beyond the base read-only scope. If you plan to create or modify contacts, tasks, or notes, obtain the necessary authorization and restrict tokens to the required scope. Always test with a sandbox account if available.
Field mapping involves aligning Baserow fields with GHL contact properties (name, email, phone) and related items like tasks or notes. Use consistent data types and handle optional fields gracefully. A sample mapping might link Baserow’s full_name to GHL contact name and Baserow’s email to GHL contact email.
Supported authentication methods typically include API keys and OAuth. Choose the method that best fits your security posture. Store tokens in a secure vault and rotate them periodically. Avoid embedding credentials in client-side code.
Rate limits depend on your GHL plan and endpoint usage. Plan for bursts during onboarding and set up retry logic with exponential backoff. Monitor API usage from your integration dashboard and adjust polling frequency as needed.
Yes. You can design bidirectional sync for contacts, notes, and tasks, but keep in mind latency and conflict resolution. Prefer a single source of truth per field and implement a simple conflict strategy (e.g., latest update wins).
Before going live, run end-to-end tests in a staging environment. Validate data integrity, mappings, and error handling. Review logs for failures, fix mapping gaps, and then switch to production with monitoring in place.
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