Connect CrowdPass to MongoDB
Store rich, nested event data in flexible documents that evolve with your events without schema migrations
Events are messy, variable data producers. Every event has different registration fields, different session structures, different lead capture forms, and different sponsor configurations. Relational databases require you to predict your schema in advance and migrate it when requirements change. MongoDB's document model embraces this variability: each attendee document can have a different structure, nested objects capture hierarchical data naturally (an attendee document embeds their sessions, feedback, and booth interactions as subdocuments), and the schema evolves without downtime. Connecting CrowdPass to MongoDB via Zapier means event data lands in a database that adapts to your events, not the other way around. Aggregation pipelines turn raw documents into sophisticated analytics, and change streams power real-time applications that react to data changes instantly.
Automations you can build
Registrations create rich documents in an "attendees" collection. The document includes the core profile as top-level fields and event-specific data as nested objects. If the attendee registers for another event later, the Zap pushes a new event object into the document's "events" array — building a complete attendee history in a single document without JOINs.
Check-ins push a new object into the attendee document's "activity" array: {type: "check-in", session: "Keynote", timestamp: "..."}. The document accumulates a complete activity timeline. Aggregation pipelines can unwind this array to calculate session attendance, time-between-sessions, and engagement depth without querying a separate table.
Booth leads create documents in a "leads" collection with embedded booth interaction details, qualifying form responses, and rep notes — all in a single document. The document structure varies by booth (each exhibitor has different qualifying questions), and MongoDB handles this variation without schema constraints. Exhibitors query their leads with MongoDB's expressive query language.
Survey responses push into the attendee's document as feedback subdocuments. Each feedback entry includes the session name, ratings, and free-text response. The attendee document becomes a complete record of their event journey — from registration through every session they attended and every piece of feedback they gave — queryable in a single read.
How event teams use this
Aggregation pipeline for multi-dimensional event analytics
An event analytics team needs to calculate: for each session track, the average feedback score weighted by attendee seniority (executives weigh more than individual contributors), grouped by ticket tier, with comparisons to the previous year's event. In MongoDB, this is an aggregation pipeline: $lookup to join attendees and feedback, $addFields to compute weighted scores, $group by track and tier, $merge with last year's collection for comparison. The pipeline runs as a scheduled Atlas trigger after the event and produces a report collection that the BI tool reads directly. Complex multi-dimensional analysis runs in the database, not in Python scripts or Excel.
Change streams for real-time event operations
A conference operations team builds a Node.js command center application that monitors the event in real time. MongoDB change streams watch the "attendees" collection for check-in updates. When check-ins spike (more than 50 per minute), the app displays an alert on the ops dashboard and sends a Slack notification to deploy additional registration staff. When a session's attendance reaches 90% capacity (calculated from the change stream data), the app automatically updates digital signage to show "Session Full — Overflow in Room B." The entire system reacts to data changes in MongoDB in under two seconds, without polling or cron jobs.
Connect in 3 steps
No code required. Set up in under 5 minutes.
Log in to Zapier
Go to zapier.com and search for "CrowdPass" in the app directory. Connect your CrowdPass account using your API key from Settings > Integrations.
Choose your trigger
Select a CrowdPass trigger event: new registration, attendee check-in, NFC badge scan, lead capture, or form submission. Each trigger sends full attendee data.
Map your action
Choose the destination app and configure what happens. Map CrowdPass fields (name, email, ticket type, custom questions) to the app's fields. Test and activate.
Related integrations
Ready to connect CrowdPass to MongoDB?
Schedule a demo and we'll help you set up the perfect automation for your next event.