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Google Sheets to Greenhouse integration — real-time, two-way sync

Keep Google Sheets and Greenhouse in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Google Sheets and Greenhouse

Keep the people, teams, and status that Google Sheets and Greenhouse share aligned in real time, so a hire, role change, or departure recorded in one reaches the other within seconds.

Each tool in Google Sheets keeps its own list of who can use it: users, members, or agents, along with the team they sit on and whether they are still active. Greenhouse is the authoritative record of the same people as employees, with their department, manager, and employment status. When those two are connected only by manual account admin or a periodic export, the work tools drift: new hires wait days for access, team and manager changes never catch up, and people who have left keep standing accounts.

Stacksync syncs Cell values, Spreadsheets, Sheets (tabs), Rows in Google Sheets with Departments and Offices, Candidates, Applications, Jobs in Greenhouse bi-directionally and in real time. A person added, moved, or offboarded in Greenhouse creates or updates the matching user in Google Sheets within seconds, with field-level mapping and conflict resolution in place of spreadsheets and one-off account changes. Where Google Sheets captures details of its own, such as a corrected contact or a login identity, those can flow back to Greenhouse in whichever direction you configure.

Because the sync is field-level, each system keeps its own extras; only the shared facts, who a person is, which team they belong to, and whether their access should be on, are held in agreement.

Common use cases

  • 01 Reconcile finance or billing exports against system-of-record data in one collaborative surface.
  • 02 Prototype an integration by syncing a sheet before committing to a database schema.
  • 03 Export Scorecards and Scheduled Interviews to a data warehouse to analyze interviewer load and interview outcomes.
  • 04 Two-way sync Candidates and Applications with Postgres so recruiting-ops apps read and update stage, status, and custom fields in SQL while recruiters stay in Greenhouse.

Common sync patterns

Where Google Sheets routes or assigns work by person: assignments follow the org

When someone changes teams or managers in Greenhouse, the queues, ownership, or approvals in Google Sheets update to match, so work reaches whoever holds the role now.

Onboarding: access ready on day one

A new hire recorded in Greenhouse creates the matching user in Google Sheets with the right team and manager already set, so people can start working without waiting on a provisioning ticket.

Offboarding: no standing access after a departure

When someone is marked as leaving in Greenhouse, the matching account in Google Sheets is deactivated or flagged, so departures do not leave open access behind.

What you can sync between Google Sheets and Greenhouse

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Google Sheets objects Greenhouse objects How this pairing syncs
Ranges Addressed in A1 notation for batched reads and writes. Scorecards Interviewer feedback and ratings tied to interviews; read-only in Harvest, exported to a warehouse for interview analytics. Ranges is specific to Google Sheets and Scorecards to Greenhouse — each maps to any object or custom field on the other side.
Named ranges Stable references that keep sync mappings valid when the grid moves. Scheduled Interviews Interview events with interviewers, times, and rooms; full create/update/delete support for calendar and reporting syncs. Named ranges is specific to Google Sheets and Scheduled Interviews to Greenhouse — each maps to any object or custom field on the other side.
Cell values Untyped by default, so syncs handle type coercion for dates and numbers. Users Greenhouse users (recruiters, hiring managers); read and written, and referenced by the On-Behalf-Of header on every write. Cell values is specific to Google Sheets and Users to Greenhouse — each maps to any object or custom field on the other side.
Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID. Departments and Offices Org structure attached to Jobs; read and written to keep reporting hierarchies aligned with an HRIS or warehouse. Spreadsheets is specific to Google Sheets and Departments and Offices to Greenhouse — each maps to any object or custom field on the other side.
Sheets (tabs) Individual worksheets, typically mapped one-to-one to a synced table. Candidates Person records with contact details, tags, and custom fields; read and written via Harvest, often created from sourcing or enrichment pipelines. Sheets (tabs) is specific to Google Sheets and Candidates to Greenhouse — each maps to any object or custom field on the other side.
Rows Treated as records; a header row usually defines field names. Applications Links a Candidate to a Job; carries current stage, status, and source. Movable, rejectable, and hireable through Harvest write calls. Rows is specific to Google Sheets and Applications to Greenhouse — each maps to any object or custom field on the other side.

How changes propagate between Google Sheets and Greenhouse

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Google Sheets Greenhouse Interval-based propagation

DetectionStacksync polls Google Sheets for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

DeliveryEach detected change is written to Greenhouse through its API, with automatic retries and rate-limit backoff.

Greenhouse Google Sheets Sub-second propagation

DetectionGreenhouse notifies Stacksync of record changes through webhook events. HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after /.

DeliveryEach detected change is written to Google Sheets through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Google Sheets: Subject to per-minute read and write quotas per project and per user, so large syncs are batched.
  • Greenhouse: Harvest enforces a per-integration limit over a rolling 10-second window (X-RateLimit-Limit, commonly 50 requests / 10s for approved integrations); responses carry X-RateLimit-Remaining and, on a 429, X-RateLimit-Reset and Retry-After.
What ships with Google Sheets ⇄ Greenhouse

Connect Google Sheets and Greenhouse for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Sheets–Greenhouse connection.

Real-time

Two-way sync

Changes in Google Sheets or Greenhouse instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Sheets or Greenhouse data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Google Sheets or Greenhouse record.

Observability

Monitoring

Track your Google Sheets ⇄ Greenhouse sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Sheets and Greenhouse.

How the Google Sheets and Greenhouse connectors work

Google Sheets

Integration surface
REST API (Google Sheets API), with file-level change signals available through the Drive API
Authentication
OAuth 2.0 (user consent) or Google service accounts
Change detection
Polling; the Sheets API has no cell-level webhooks, and Drive push notifications only signal file-level changes
Capabilities
read · write
Rate limits
Subject to per-minute read and write quotas per project and per user, so large syncs are batched.

Greenhouse

Integration surface
Harvest REST API (plus read-only Job Board API and the Ingestion API for bulk candidate import)
Authentication
HTTP Basic Auth with a Harvest API key (key as username, blank password, colon appended then Base64-encoded); write calls require an On-Behalf-Of header naming the Greenhouse user
Change detection
HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after / last_activity_after filters
Capabilities
read · write · webhooks
Rate limits
Harvest enforces a per-integration limit over a rolling 10-second window (X-RateLimit-Limit, commonly 50 requests / 10s for approved integrations); responses carry X-RateLimit-Remaining and, on a 429, X-RateLimit-Reset and Retry-After.
Greenhouse setup guide
How it works

How to connect Google Sheets to Greenhouse — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Google Sheets and Greenhouse with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Google Sheets connected
    Greenhouse connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Sheets and Greenhouse objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Google Sheets ⇄ Greenhouse
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Google Sheets Greenhouse
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Sheets and Greenhouse integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
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DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 513 integrations available for Google Sheets and Greenhouse.

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