GitHub Webhook to MongoDB Integration

How Datrise loads GitHub Webhook into MongoDB

Datrise syncs GitHub Webhook's push events, pull requests, issues, releases, commits, and workflow runs into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.

Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.

Ideal for document-oriented apps that want CRM data in their existing Mongo store.

Endpoints

GitHub Webhook: Repository event stream delivered by webhook.

MongoDB: Document database for flexible schemas.

How GitHub Webhook entities map to MongoDB

GitHub Webhook entity	MongoDB object	Notes
push events	`github_webhook_push_events`	BSON Date events
pull requests	`github_webhook_pull_requests`	id PK · linked to github_webhook_push_events
issues	`github_webhook_issues`	id PK · linked to github_webhook_push_events
releases	`github_webhook_releases`	id PK · linked to github_webhook_push_events

FAQ

How does Datrise handle GitHub Webhook's custom fields in MongoDB?

Flexible values are stored as native nested documents, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MongoDB types.

How does the GitHub Webhook to MongoDB sync stay up to date?

It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.

Related pipelines

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