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Business productivity ⇄ Database

Lusha to Neo4j integration — real-time data sync

Keep Lusha and Neo4j in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Lusha and Neo4j

Mirror Lusha's data into Neo4j so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Lusha is a read-only source: Stacksync reads its data in real time and delivers it into Neo4j, so Neo4j always reflects the current state of Lusha — without exports, scripts, or schedulers.

Engineers integrate with tools like Lusha through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Neo4j.

Stacksync mirrors Company Profiles, Email Addresses, Phone Numbers, Prospecting Results from Lusha into Databases, Users & Roles, Nodes, Relationships in Neo4j and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Lusha, so the tool and the database never disagree.

Common use cases

  • Re-verify stale contact data on a schedule and flag records that no longer resolve.
  • Enrich new CRM leads with work emails and direct dials the moment they are created.
  • Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
  • Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.

React to changes as they happen

Updates in Lusha arrive as row changes in Neo4j, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read Lusha with a query

Records from Lusha are ordinary rows in Neo4j; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between Lusha and Neo4j

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.

Lusha objects Neo4j objects
Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes.
Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. Relationships Typed, directed edges that carry the connections syncs exist to model.
Company Profiles Firmographic records (industry, size, location) appended to account or company rows. Properties Key-value attributes on both nodes and relationships, mapped from source fields.
Email Addresses Work emails written into CRM contact fields during enrichment. Labels Node type markers used to map source tables or objects onto the graph.
Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast.
Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists. Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs.
What ships with Lusha ⇄ Neo4j

Connect Lusha and Neo4j for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Lusha–Neo4j connection.

Real-time

Real-time sync

Changes in Lusha or Neo4j instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Lusha or Neo4j 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 Lusha or Neo4j record.

Observability

Monitoring

Track your Lusha ⇄ Neo4j sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Lusha and Neo4j.

How the Lusha and Neo4j connectors work

Lusha

Integration surface
REST API
Authentication
API key
Change detection
Not event-driven; data is fetched on demand per lookup, so syncs poll or trigger enrichment when source records change
Capabilities
read
Rate limits
Lookups consume credits and are subject to the platform's API rate limits.

Neo4j

Integration surface
Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
Authentication
Username/password (basic auth); enterprise deployments add SSO options
Change detection
Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
Capabilities
read · write · CDC
How it works

How to connect Lusha to Neo4j — 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 Lusha and Neo4j 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
    Lusha connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Lusha and Neo4j 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 · Lusha ⇄ Neo4j
    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
    Lusha Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Lusha and Neo4j integration FAQ

SECURITY

Security teams love 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
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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 386 integrations available for Lusha and Neo4j.

Popular · 8 of 386
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