Connectors

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Freshcaller

Data replication

Sync Freshcaller data anywhere.

Setup a connection to your Freshcaller site in minutes, and select the Freshcaller collections you want to replicate.

  • Standard
  • Alpha
  • 4 streams
Sync Freshcaller dataRead the docs
Freshcaller

One connector

Everything Freshcaller can do in Airbyte

  • Sync to your warehouse

    Land 4 Freshcaller tables in 50+ destinations on a schedule you control.

    Sync to your warehouse

    Land 4 Freshcaller tables in 50+ destinations on a schedule you control.

  • Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

    Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

  • One authorization

    Authenticate Freshcaller once and Airbyte keeps every scheduled sync running on it.

    One authorization

    Authenticate Freshcaller once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the Freshcaller connector on Cloud, Self-Managed Enterprise.

    Cloud or self-hosted

    Run the Freshcaller connector on Cloud, Self-Managed Enterprise.

Specifications

What to know before you sync Freshcaller

  • Support levelStandard
  • Available onCloud, Self-Managed Enterprise
  • Connector version0.5.4
  • Release stageAlpha

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncSupported
  • NamespacesNot supported
  • Destinations50+ Airbyte connectors

Set up in 9 steps

  1. Open the Airbyte dashboard and click on "Sources" from the left-hand menu.
  2. Click on the "Create a new source" button and select "Freshcaller" from the list of available connectors.
  3. Enter a name for your Freshcaller source and click on "Next".
  4. Enter your Freshcaller API credentials, including the API key and domain name.
  5. Click on "Test connection" to ensure that the credentials are correct and the connection is successful.
  6. Select the data you want to replicate from Freshcaller, including calls, agents, and call recordings.
  7. Choose the replication frequency and the destination where you want to store the data.
  8. Click on "Create source" to save your Freshcaller source connector on Airbyte.
  9. You can now monitor the replication status and view the data in your destination of choice. Note: It is important to ensure that your Freshcaller API credentials are correct and have the necessary permissions to access the data you want to replicate. Refer to the Freshcaller API documentation for more information on how to generate API keys and manage permissions.

4 streams

Every table you can sync from Freshcaller

  • Users

  • Teams

  • Calls

  • Call Metrics

Authentication

Authenticate Freshcaller once

  • API Key

    Freshcaller API Key. See the docs for more information on how to obtain this key.

    API Key

    Freshcaller API Key. See the docs for more information on how to obtain this key.

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Common questions

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ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

Freshcaller's API provides access to a wide range of data related to call center operations. The following are the categories of data that can be accessed through Freshcaller's API:

1. Call data: This includes information about incoming and outgoing calls, call duration, call recordings, and call transcripts.
2. Agent data: This includes information about agents, such as their availability, status, and performance metrics.
3. Queue data: This includes information about call queues, such as the number of calls waiting, the average wait time, and the number of agents available.
4. IVR data: This includes information about Interactive Voice Response (IVR) systems, such as the number of calls handled by the IVR, the number of calls transferred to agents, and the success rate of the IVR.
5. Ticket data: This includes information about tickets created from calls, such as the status of the ticket, the agent assigned to the ticket, and the resolution time.
6. Analytics data: This includes information about call center performance metrics, such as call volume, call abandonment rate, and average handle time.

Overall, Freshcaller's API provides a comprehensive set of data that can be used to monitor and optimize call center operations.

1. Open the Airbyte dashboard and click on "Sources" from the left-hand menu.
2. Click on the "Create a new source" button and select "Freshcaller" from the list of available connectors.
3. Enter a name for your Freshcaller source and click on "Next".
4. Enter your Freshcaller API credentials, including the API key and domain name.
5. Click on "Test connection" to ensure that the credentials are correct and the connection is successful.
6. Select the data you want to replicate from Freshcaller, including calls, agents, and call recordings.
7. Choose the replication frequency and the destination where you want to store the data.
8. Click on "Create source" to save your Freshcaller source connector on Airbyte.
9. You can now monitor the replication status and view the data in your destination of choice.

Note: It is important to ensure that your Freshcaller API credentials are correct and have the necessary permissions to access the data you want to replicate. Refer to the Freshcaller API documentation for more information on how to generate API keys and manage permissions.

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Start moving Freshcaller data today

Free for 14 days on Airbyte Cloud. Set up the Freshcaller connector once and let Airbyte keep it in sync.

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