Use secure token-based authentication (OAuth2 or API keys where supported) to access the Conversations API from Accelo. Store credentials safely and rotate them regularly.
Authorize the Accelo integration to access GHL data, then grant required scopes to manage conversations, messages, and transcripts from Accelo.
Key endpoints: – GET /conversations/:conversationsId – GET /conversations/search – POST /conversations/ – PUT /conversations/:conversationsId – DELETE /conversations/:conversationsId – conversations.message.readonly – GET conversations/messages/:messageId/locations/:locationId/recording – GET conversations/locations/:locationId/messages/:messageId/transcription – GET conversations/locations/:locationId/messages/:messageId/transcription/download – conversations/message.write – POST /conversations/messages – POST /conversations/messages/inbound – POST /conversations/messages/upload – PUT /conversations/messages/:messageId/status – DELETE /conversations/messages/:messageId/schedule – DELETE /conversations/messages/email/:emailMessageId/schedule
Trigger: when a new contact is added in Accelo or when a customer initiates a chat in GHL.
Actions: create a GHL conversation, post initial messages, and link to the Accelo contact record.
Example: POST /conversations/ to start a thread, then POST /conversations/messages to add content.
Key fields: conversationsId, contactId, messageId, status, locationId
Trigger: a new or updated message in a GHL conversation.
Actions: update Accelo notes or tasks, create or update related records, post replies.
Example: GET /conversations/:conversationsId or GET /conversations/search to locate items to sync.
Key fields: conversationsId, messageId, status, lastUpdated
Trigger: nightly or hourly batch syncs.
Actions: bulk create/update conversations and messages, attach transcripts to Accelo notes.
Example: POST /conversations/messages for bulk ingestion or schedule-based pushes.
Key fields: conversationsId, batchId, timestamp, status
Build end-to-end automation without writing code; connect, map fields, and run tests with clicks not code.
Drag-and-drop workflows between GHL and Accelo to automate handoffs and follow-ups.
Built-in retries, logging, and error handling to keep data in sync reliably.
This glossary covers core concepts: Conversations, Endpoints, Triggers, Actions, Methods, Transcripts, Locations, and fields used to move data between GHL and Accelo.
A thread of messages between a user and an agent or system, consisting of messages, transcripts, and related metadata.
A URL path that represents a specific API action (e.g., retrieving a conversation or posting a message).
Text or parsed text of an audio message, often used for search and accessibility.
A callback URL that receives real-time notifications when an event happens in either system.
When a new GHL conversation starts, automatically generate a corresponding Accelo ticket or task with initial notes.
Create or update Accelo tasks when a conversation hits a certain status or threshold in GHL.
Attach conversation transcripts to related Accelo contacts or tickets to preserve context.
Grant permissions in both systems, then test the connection with a sample conversation.
Map fields between GHL and Accelo and define triggers for automatic actions.
Run end-to-end tests, check logs, and enable the automation in production.
No extensive coding is required—Zapier-style automation and the GHL Conversations API provide point-and-click setup for common tasks. Map fields, choose triggers, and define actions to automate Accelo updates from GHL. For advanced needs, lightweight scripts can handle edge cases without burying you in code. If you do write code, you can still use webhooks and API calls to extend the integration beyond presets and templates.
Typical workflows focus on creating and updating conversations, posting messages, and syncing transcripts between GHL and Accelo. Essential endpoints include retrieving conversations, posting messages, updating status, and pulling transcripts for context. Start with GET /conversations/:conversationsId and POST /conversations/messages to establish a baseline, then expand to search, transcription, and scheduling as needed.
Authentication uses API keys or OAuth2 where supported. Ensure tokens are stored securely, scopes are limited to required actions, and rotation policies are in place. In Accelo, connect the app with the GHL account and grant access to conversations and messages. Test the connection with a small dataset to confirm permissions before going live.
Yes. You can schedule messages or fetch transcriptions automatically using the available endpoints. Use the scheduled delete and transcription endpoints to manage timing and accessibility of content across both systems. Always validate that transcripts are available and that scheduling aligns with your workflow.
Rate limits depend on your GHL plan and the API tier you’re using. Plan for bursts by queuing requests and handling backoffs gracefully. Monitor API usage with timestamps and logs to avoid hitting quotas during peak times. Consider cache layers for frequently accessed data to reduce repeated calls.
Errors are handled with standard HTTP status codes and clear error messages. Implement retries with exponential backoff, and log failures for auditing. Use transcripts and endpoint statuses to diagnose issues quickly. If a retry fails after multiple attempts, alert your team via Accelo tasks or a Slack/Teams webhook.
Practical examples and templates are available in the documentation and starter templates. Look for sample mappings, endpoint usage, and step-by-step setup guides to accelerate your project. You can adapt these templates to your own data models and business workflow.
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