ETL Bitrix24 data to Google BigQuery

Source
Destination
Renta ELT is a simple way to create data pipelines in minutes. Not months.

Bitrix24 is a CRM and collaboration platform that helps teams manage sales, customer communications, and daily operations in one place.
Renta Marketing ELT automatically loads Bitrix24 data into Google BigQuery in seconds and keeps it accurate with reliable scheduled updates.
This gives marketing and data teams a trusted foundation for reporting, attribution, and deeper customer analytics.

Set up your ELT pipeline in 3 simple steps

Select Bitrix24 as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Bitrix24 as the data source in Renta.
1Connect your source

Select Bitrix24 as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Bitrix24 as the data source in Renta.
2Identify the destination
3Configure and synchronize
The data structure of the Bitrix24 API

Renta supports 8 methods of data export using the Bitrix24 API.

crm.lead

Represents leads captured before qualification in the Bitrix24 CRM. Contains prospect data such as contact details, source, status, assigned user, and custom fields used for early-stage pipeline analysis.

crm.contact

Stores individual person records linked to CRM activity. Includes personal and business contact information, communication channels, responsible user, and relationships to leads, deals, and companies.

crm.company

Represents organization-level customer or prospect records in the CRM. Contains company attributes such as name, industry, revenue-related fields, addresses, assigned owner, and links to contacts and deals.

crm.deal

Captures sales opportunities moving through the pipeline. Includes deal amount, currency, stage, probability, category, assigned user, related contact or company, and custom fields for revenue reporting and forecasting.

crm.activity

Stores interactions associated with CRM entities, such as calls, emails, meetings, and tasks. Useful for reconstructing engagement history, measuring sales activity, and analyzing response timelines.

tasks.task

Represents work items managed in Bitrix24 Tasks. Contains task metadata such as title, description, status, deadlines, participants, creator, responsible user, and time tracking fields for operational reporting.

user

Provides access to Bitrix24 user directory data. Includes employee profile information such as name, email, department, active status, position, and other attributes commonly used for ownership and permission mapping.

department

Represents the organizational structure of the Bitrix24 account. Contains department hierarchy, parent-child relationships, and department names, which are useful for team-level reporting and access modeling.

Use cases

Unlock actionable Bitrix24 insights

  • Analyze Bitrix24 deal stages in BigQuery to spot funnel leaks and lift win rates
  • Join Bitrix24 leads with ad spend in BigQuery to measure true CAC and ROI by channel
  • Track Bitrix24 sales rep KPIs in BigQuery to improve response time and conversion
  • Forecast Bitrix24 pipeline revenue in BigQuery using stage history and close-date trends
  • Unify Bitrix24 CRM and support data in BigQuery to identify churn risk by account
  • Measure Bitrix24 campaign-to-deal attribution in BigQuery to optimize budget allocation
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Use cases: Bitrix24 and Google BigQuery integration
Frequently asked questions
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