Building a Gong API integration requires generating credentials, managing rate limits, and handling cursor-based pagination. Engineers interact directly with the Gong API documentation to sync meeting metadata and download transcripts. You construct requests to specific endpoints and build custom logic to parse the resulting conversational data.
Key Takeaways
| Concept | Implementation Detail |
|---|---|
| Authentication | Combine Access Key and Secret with a colon, then Base64 encode for Basic Auth. |
| Core Endpoints | Send POST requests to /v2/calls/extensive for call metadata and /v2/calls/transcript for transcripts, on your specific tenant URL. |
| Rate Limits | The platform enforces limits of 3 calls per second and 10,000 calls per day. |
| Pagination | Page sizes cap at 100 records and require cursor string tracking. |
What Conversation Data is Accessible Through the Gong API
Engineers building a Gong API integration typically target the calls and transcripts endpoints to extract conversational data. Extracting this data allows teams to analyze meeting context, build custom performance metrics, and integrate searchable transcripts into internal systems. You often query the Gong transcripts API directly to pull these detailed conversation records.
With Knit: Knit’s Unified Meeting API gives you a single integration to read meeting recordings, transcripts, and metadata across Gong, Chorus, Fireflies, Fathom, Google Meet, and Microsoft Teams.
Handling Gong API Authentication and Credentials
You must possess specific admin permissions to create a Gong API key for your integration. The platform relies on a basic authorization HTTP header for server-to-server requests.
To create the basic token, combine the Access Key and the Access Key Secret with a colon. You then encode this combined string in Base64. Gong’s API introduction shows this Base64 string passed as Authorization: Basic <token> to access the Public API.
Syncing Data From the Gong Calls API and Transcripts API
Retrieving full conversation context natively involves two endpoints. Call metadata comes from the POST /v2/calls/extensive endpoint. Each tenant operates on its own regional host, so the connector requires your specific tenant API base URL.
Developers extract detailed records using the extensive endpoint to get download URLs and metadata. Transcripts come from a separate endpoint, POST /v2/calls/transcript, which Gong’s API reference documents for retrieving call transcripts. A typical sync collects the calls first, then requests the transcripts for those calls and stores them alongside the call records.
Managing Gong API Pagination for Large Datasets
Syncing historical data requires handling pagination to pull large datasets from the Gong calls API and transcripts API. Stitchflow’s documentation indicates that pagination is cursor-based with a maximum page size of 100 records.
Native Gong pagination requires parsing the response for the next cursor and manually injecting it into subsequent API requests. Gong’s API introduction specifies that you retrieve the next page by repeating the API call with the cursor value supplied by the previous API call, keeping every other request input the same.
The flow requires extracting the cursor string from the initial response payload. You pass this exact string back to the endpoint until the response returns no cursor.
How to Handle Gong API Rate Limits
Extracting bulk transcripts or subscribing to high-volume events quickly consumes Gong API rate limits. By default, Gong limits your company’s access to the service to 3 API calls per second, and 10,000 API calls per day.
A direct integration requires building custom retry, queuing, and exponential backoff logic to prevent 429 Too Many Requests errors. Engineers often implement rate-limiting queues similar to the infrastructure required to manage HubSpot CRM API rate limits and endpoints.
How to Simplify the Integration with Knit
Knit’s Unified Meeting API gives you a single integration to read meeting recordings, transcripts, and metadata across Gong, Chorus, Fireflies, Fathom, Google Meet, and Microsoft Teams. You can integrate via Knit’s Unified Meeting API to skip building native connectors.
Instead of writing Gong-specific parsing logic, developers fetch meeting details, download or playback URLs, and full speaker-level transcripts through the same interface. This interface functions identically whether the source is Gong, Fireflies, or a native Google Meet recording.
If you want your customers to connect Gong through your own OAuth app, register that app’s client ID and secret once with the integration.registerOauthCreds endpoint, using gong as the app ID. For AI agents, Knit also offers a Gong MCP Server.
POST https://api.getknit.dev/v1.0/integration.registerOauthCreds
Authorization: Bearer <YOUR_KNIT_API_KEY>
Content-Type: application/json
{
"appId": "gong",
"clientId": "your_client_id",
"clientSecret": "your_client_secret"
}
For additional implementation patterns, review the technical guides and code samples for developers building integrations with Knit.
Frequently Asked Questions
How do I authenticate requests to the Gong API?
Generate an Access Key and an Access Key Secret in Gong, combine them with a colon, and encode the result in Base64 to form a Basic Authorization header. Store these credentials in a secrets manager or environment variable rather than in code.
How do I retrieve data from the Gong calls and transcripts endpoints?
Send a POST request to the /v2/calls/extensive endpoint on your tenant’s specific base URL for call metadata, then a POST request to /v2/calls/transcript for the transcripts of those calls.
What are the specific constraints for syncing large volumes of Gong data, particularly around handling pagination and rate limits?
The platform limits requests to 3 API calls per second and 10,000 calls per day. Pagination restricts responses to a maximum of 100 records per page. You must implement a cursor loop and exponential backoff queues to avoid rate limit errors.
Unifying the world of integration with Knit
