No-code pipeline · Recruiterbox → Amazon S3

Send data from Recruiterbox to Amazon S3

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From Recruiterbox to Amazon S3: managed, scheduled, no code.

Creating a pipeline that sends data from Recruiterbox to Amazon S3 data lakes takes only a few minutes with Kondado. And the whole integration from Recruiterbox to Amazon S3 is managed and executed by our platform. With Kondado, you can focus on extracting value from Recruiterbox data and combining it with other data in your Amazon S3 data lake

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Send Recruiterbox Data to Amazon S3

How to send Recruiterbox data to Amazon S3? Kondado provides a direct connection that replicates your recruitment data automatically on a configurable schedule. Simply connect your Recruiterbox account, configure your Amazon S3 bucket as the destination, and select which pipelines you want to replicate. The platform handles the extraction and loading process without requiring any coding or manual exports, ensuring your hiring data flows continuously into your data lake. Once in Amazon S3, you can analyze candidate pipelines alongside other business data using Athena, Presto, or Dremio for comprehensive workforce insights.

Kondado replicates Recruiterbox Openings, Candidates, and Candidate Messages pipelines to Amazon S3 on a configurable schedule ranging from every 5 minutes to daily, enabling automated data lake ingestion for recruitment analytics.

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Replicate the Openings pipeline to track position status and close dates across departments, or replicate the Candidates pipeline to analyze application sources and hiring stages within your Amazon S3 environment. The Candidate Messages pipeline captures communication history, enabling you to build custom dashboards that correlate response times with offer acceptance rates. With all three pipelines available in your data lake, you can combine Recruiterbox information with HRIS or payroll data from other sources to create unified workforce reports in Power BI, Looker Studio, or BigQuery.

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Replicated to Amazon S3

Recruiterbox data available for Amazon S3

Tables Kondado writes into your Amazon S3, on a schedule you control.

available pipelines

148

extractable fields

Amazon S3

Destination

Available integrations

Openings

Includes information such as title, description, position type, and close date, allowing tracking of the status and location of openings.

Candidates

Contains data such as name, email, phone, and candidate stage, facilitating management of the selection process and communication with candidates.

Candidate Messages

Records messages exchanged with candidates, including message body, sender, and date, essential for maintaining a communication history.

See all available data → Send Recruiterbox to Amazon S3 →

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How to send Recruiterbox data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Recruiterbox to Kondado

Authenticate your Recruiterbox account in Kondado by providing your API credentials through the data source configuration interface. This establishes the connection required to access your Openings, Candidates, and Candidate Messages pipelines.

Configure Amazon S3 Destination

Enter your Amazon S3 bucket details and specify the file path structure where you want recruitment data stored. Define the output format and compression settings that work best with your Athena, Presto, or Dremio query patterns.

Select Pipelines and Schedule

Choose which Recruiterbox pipelines to replicate, whether Openings, Candidates, or Candidate Messages, and set your preferred update frequency. You can configure different schedules for each pipeline, from near-real-time updates every 5 minutes to daily batches, ensuring your Amazon S3 data lake stays current with your hiring activities.

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Send data from Recruiterbox to other destinations

Recruiterbox > Looker Studio

Recruiterbox > Power BI

Other visualizations

Recruiterbox > Amazon S3

Recruiterbox > BigQuery

Recruiterbox > Excel

Recruiterbox > Google Sheets

Recruiterbox > MySQL

Recruiterbox > PostgreSQL

Recruiterbox > Redshift

Recruiterbox > SQL Server

Choose a tool to visualize your Recruiterbox data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Recruiterbox > Airtable

Recruiterbox > Alteryx

Recruiterbox > Amazon Quicksight

Recruiterbox > BIMachine

Recruiterbox > Cortex

Recruiterbox > Data Studio

Recruiterbox > Geckoboard

Recruiterbox > Grafana

Recruiterbox > IBM Cognos Analytics

Recruiterbox > Klipfolio

Recruiterbox > Looker Studio

Recruiterbox > Looker

Recruiterbox > Looqbox

Recruiterbox > Metabase

Recruiterbox > Microstrategy

Recruiterbox > Pentaho

Recruiterbox > Power BI

Recruiterbox > Qlik Cloud Analytics

Recruiterbox > Qlik Sense

Recruiterbox > Qlik

Recruiterbox > QlikView

Recruiterbox > Redash

Recruiterbox > Superset

Recruiterbox > Tableau

Recruiterbox > BI TOTVS

Recruiterbox > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Recruiterbox data to Amazon S3 automatically

How does Kondado replicate Recruiterbox data to Amazon S3? ▼

Kondado connects to your Recruiterbox account via API and extracts data from your selected pipelines. The data is then loaded into your specified Amazon S3 bucket on the schedule you configure, whether every 5 minutes or daily. This automated process eliminates manual CSV exports and ensures your recruitment data remains current in your data lake for analysis.

What specific Recruiterbox data can I replicate to Amazon S3? ▼

You can replicate three distinct pipelines: Openings containing position details and status, Candidates with contact information and application stages, and Candidate Messages capturing communication history. These 148 total fields cover the complete recruitment lifecycle from job posting to offer management. This allows you to maintain a comprehensive historical record of your hiring activities in Amazon S3.

Can I set different update frequencies for different Recruiterbox pipelines in Amazon S3? ▼

Yes, Kondado allows you to configure independent schedules for each pipeline, updating Candidates every 15 minutes while refreshing Openings daily based on your analytics requirements. This granular control ensures high-velocity data like candidate messages updates frequently while static reference data updates less often. You can adjust these frequencies anytime through the interface without disrupting existing data flows.

What format is Recruiterbox data stored in when sent to Amazon S3? ▼

Data arrives in structured formats compatible with analytics engines like Athena, Presto, and Dremio, typically as compressed files organized by pipeline and date. This structure supports efficient querying and partitioning strategies for large datasets. You can immediately connect your favorite visualization tools to analyze hiring trends without additional transformation steps.

Can I combine Recruiterbox data from Amazon S3 with other business data sources? ▼

Yes, once your recruitment data resides in Amazon S3, you can join it with information from finance platforms, marketing tools, or additional HR systems that also feed into your data lake. This enables comprehensive workforce analytics, such as correlating cost-per-hire with campaign spend or analyzing quality-of-hire across different business units. You can then visualize these combined datasets in Power BI, Looker Studio, or BigQuery.

Do I need technical expertise to configure Recruiterbox to Amazon S3 replication? ▼

Kondado provides a visual interface where you authenticate your Recruiterbox credentials and map data fields through point-and-click configuration. The platform manages API authentication, data type conversion, and file partitioning automatically without manual scripting. Users simply select their desired pipelines and schedule through the guided setup process.

Can I send Recruiterbox data to Amazon S3 and other destinations at the same time? ▼

Yes, Kondado allows you to replicate the same Recruiterbox pipelines to multiple destinations simultaneously, such as sending Candidates data to both Amazon S3 and PostgreSQL or BigQuery. This enables different teams to access recruitment data in their preferred environments without creating separate pipeline processes. Each destination maintains its own schedule and configuration settings independently.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days