Move your data from Greenhouse with your free account
Capture data from Greenhouse and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
Greenhouse connector details
The Greenhouse source connector ingests recruiting and hiring data from Greenhouse into Estuary collections for centralized analytics and reporting. Built on an open-source connector and optimized for performance within Estuary, it supports a broad set of Harvest API resources including candidates, applications, jobs, interviews, offers, scorecards, and user metadata. Each resource is mapped to its own collection through configurable bindings, giving teams granular control over data ingestion.
- Captures candidates, applications, jobs, interviews, offers, and related hiring data
- Uses the Greenhouse Harvest API with API key authentication
- Separate bindings per resource for modular collection mapping
- Supports configurable sync modes per resource
- Optimized for reliable performance within Estuary data pipelines
How to connect Greenhouse to your destination in 3 easy steps
- 1
Connect Greenhouse as your data source
Securely connect Greenhouse and choose the objects, tables, or collections you need to sync.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Greenhouse using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect Greenhouse to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse Greenhouse data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send Greenhouse data:
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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