How to load data from IP2Whois to BigQuery

Learn how to use Airbyte to synchronize your IP2Whois data into BigQuery within minutes.

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Set up a IP2Whois connector in Airbyte

Connect to IP2Whois or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up BigQuery for your extracted IP2Whois data

Select BigQuery where you want to import data from your IP2Whois source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the IP2Whois to BigQuery in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
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TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up IP2Whois as a source connector (using Auth, or usually an API key)
  2. set up BigQuery as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is IP2Whois

IP2WHOIS is a free WHOIS Query (Space query) instrument that assists clients with really looking at WHOIS data for a specific space, for example, doled out proprietor contact data, enlistment center data, registrant data, area, and significantly more. WHOIS is a data set that comprises of required data about an enlisted space, or all the more definitively, the enrolled clients of a Web asset. A WHOIS data query is a more extensive scope of data on a space name, an IP address block, and the space accessibility status.

What is BigQuery

BigQuery is an enterprise data warehouse that draws on the processing power of Google Cloud Storage to enable fast processing of SQL queries through massive datasets. BigQuery helps businesses select the most appropriate software provider to assemble their data, based on the platforms the business uses. Once a business’ data is acculumated, it is moved into BigQuery. The company controls access to the data, but BigQuery stores and processes it for greater speed and convenience.

Integrate IP2Whois with BigQuery in minutes

Try for free now

Prerequisites

  1. A IP2Whois account to transfer your customer data automatically from.
  2. A BigQuery account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including IP2Whois and BigQuery, for seamless data migration.

When using Airbyte to move data from IP2Whois to BigQuery, it extracts data from IP2Whois using the source connector, converts it into a format BigQuery can ingest using the provided schema, and then loads it into BigQuery via the destination connector. This allows businesses to leverage their IP2Whois data for advanced analytics and insights within BigQuery, simplifying the ETL process and saving significant time and resources.

Step 1: Set up IP2Whois as a source connector

1. First, navigate to the IP2Whois source connector page on Airbyte's website.
2. Click on the "Create new connection" button.
3. In the "Configuration" tab, enter a name for your connection.
4. In the "Source" section, enter your IP2Whois API key in the "API Key" field.
5. In the "Source" section, enter the IP address or domain name you want to retrieve WHOIS information for in the "IP Address/Domain" field.
6. In the "Advanced" section, you can customize the output schema and set up incremental sync if desired.
7. Click on the "Check connection" button to ensure that your credentials are correct and the connection is successful.
8. Once the connection is successful, click on the "Create connection" button to save your configuration.
9. You can now run your IP2Whois source connector to retrieve WHOIS information for the specified IP address or domain name.

Step 2: Set up BigQuery as a destination connector

1. First, navigate to the Airbyte dashboard and select the "Destinations" tab on the left-hand side of the screen.

2. Scroll down until you find the "BigQuery" destination connector and click on it.

3. Click the "Create Destination" button to begin setting up your BigQuery destination.

4. Enter your Google Cloud Platform project ID and service account credentials in the appropriate fields.

5. Next, select the dataset you want to use for your destination and enter the table prefix you want to use.

6. Choose the schema mapping for your data, which will determine how your data is organized in BigQuery.

7. Finally, review your settings and click the "Create Destination" button to complete the setup process.

8. Once your destination is created, you can begin configuring your source connectors to start syncing data to BigQuery.

9. To do this, navigate to the "Sources" tab on the left-hand side of the screen and select the source connector you want to use.

10. Follow the prompts to enter your source credentials and configure your sync settings.

11. When you reach the "Destination" step, select your BigQuery destination from the dropdown menu and choose the dataset and table prefix you want to use.

12. Review your settings and click the "Create Connection" button to start syncing data from your source to your BigQuery destination.

Step 3: Set up a connection to sync your IP2Whois data to BigQuery

Once you've successfully connected IP2Whois as a data source and BigQuery as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select IP2Whois from the dropdown list of your configured sources.
  3. Select your destination: Choose BigQuery from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific IP2Whois objects you want to import data from towards BigQuery. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from IP2Whois to BigQuery according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your BigQuery data warehouse is always up-to-date with your IP2Whois data.

Use Cases to transfer your IP2Whois data to BigQuery

Integrating data from IP2Whois to BigQuery provides several benefits. Here are a few use cases:

  1. Advanced Analytics: BigQuery’s powerful data processing capabilities enable you to perform complex queries and data analysis on your IP2Whois data, extracting insights that wouldn't be possible within IP2Whois alone.
  2. Data Consolidation: If you're using multiple other sources along with IP2Whois, syncing to BigQuery allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: IP2Whois has limits on historical data. Syncing data to BigQuery allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: BigQuery provides robust data security features. Syncing IP2Whois data to BigQuery ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: BigQuery can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding IP2Whois data.
  6. Data Science and Machine Learning: By having IP2Whois data in BigQuery, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While IP2Whois provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to BigQuery, providing more advanced business intelligence options. If you have a IP2Whois table that needs to be converted to a BigQuery table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a IP2Whois account as an Airbyte data source connector.
  2. Configure BigQuery as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from IP2Whois to BigQuery after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

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Sync with Airbyte

1. First, navigate to the IP2Whois source connector page on Airbyte's website.
2. Click on the "Create new connection" button.
3. In the "Configuration" tab, enter a name for your connection.
4. In the "Source" section, enter your IP2Whois API key in the "API Key" field.
5. In the "Source" section, enter the IP address or domain name you want to retrieve WHOIS information for in the "IP Address/Domain" field.
6. In the "Advanced" section, you can customize the output schema and set up incremental sync if desired.
7. Click on the "Check connection" button to ensure that your credentials are correct and the connection is successful.
8. Once the connection is successful, click on the "Create connection" button to save your configuration.
9. You can now run your IP2Whois source connector to retrieve WHOIS information for the specified IP address or domain name.

1. First, navigate to the Airbyte dashboard and select the "Destinations" tab on the left-hand side of the screen.

2. Scroll down until you find the "BigQuery" destination connector and click on it.

3. Click the "Create Destination" button to begin setting up your BigQuery destination.

4. Enter your Google Cloud Platform project ID and service account credentials in the appropriate fields.

5. Next, select the dataset you want to use for your destination and enter the table prefix you want to use.

6. Choose the schema mapping for your data, which will determine how your data is organized in BigQuery.

7. Finally, review your settings and click the "Create Destination" button to complete the setup process.

8. Once your destination is created, you can begin configuring your source connectors to start syncing data to BigQuery.

9. To do this, navigate to the "Sources" tab on the left-hand side of the screen and select the source connector you want to use.

10. Follow the prompts to enter your source credentials and configure your sync settings.

11. When you reach the "Destination" step, select your BigQuery destination from the dropdown menu and choose the dataset and table prefix you want to use.

12. Review your settings and click the "Create Connection" button to start syncing data from your source to your BigQuery destination.

Once you've successfully connected IP2Whois as a data source and BigQuery as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select IP2Whois from the dropdown list of your configured sources.
  3. Select your destination: Choose BigQuery from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific IP2Whois objects you want to import data from towards BigQuery. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from IP2Whois to BigQuery according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your BigQuery data warehouse is always up-to-date with your IP2Whois data.

How to Sync IP2Whois to BigQuery Manually

FAQs

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.

IP2WHOIS is a free WHOIS Query (Space query) instrument that assists clients with really looking at WHOIS data for a specific space, for example, doled out proprietor contact data, enlistment center data, registrant data, area, and significantly more. WHOIS is a data set that comprises of required data about an enlisted space, or all the more definitively, the enrolled clients of a Web asset. A WHOIS data query is a more extensive scope of data on a space name, an IP address block, and the space accessibility status.

IP2Whois's API provides access to a wide range of data related to internet domains and IP addresses. The following are the categories of data that can be accessed through the API:

- Domain information: This includes the domain name, creation and expiration dates, registrar information, and contact details of the domain owner.
- IP address information: This includes the IP address, location, ISP, and other network-related information.
- DNS information: This includes the DNS server information, MX records, and other DNS-related data.
- WHOIS information: This includes the WHOIS record of the domain, which contains information about the domain owner, registrar, and other administrative details.
- Geolocation data: This includes the latitude and longitude coordinates of the IP address, as well as the city, region, and country where the IP address is located.
- Network information: This includes information about the network infrastructure, such as the autonomous system number (ASN) and the network range.
- Abuse contact information: This includes the contact details of the abuse department of the ISP or hosting provider associated with the IP address or domain.  

Overall, IP2Whois's API provides a comprehensive set of data that can be used for various purposes, such as cybersecurity, marketing, and research.

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up IP2Whois to BigQuery as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from IP2Whois to BigQuery and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

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.

Back to all tutorials
Warehouses and Lakes
Others

How to load data from IP2Whois to BigQuery

Learn how to use Airbyte to synchronize your IP2Whois data into BigQuery within minutes.

TL;DR
What is IP2Whois
What is BigQuery
Prerequisites
Step 1: Setup IP2Whois
Step 2: Setup BigQuery
Step 3: Setup a connectionUse CasesWrapping Up
Example H2
Example H3

Sync data between IP2Whois and BigQuery

Try Airbyte free

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up IP2Whois as a source connector (using Auth, or usually an API key)
  2. set up BigQuery as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is IP2Whois

IP2WHOIS is a free WHOIS Query (Space query) instrument that assists clients with really looking at WHOIS data for a specific space, for example, doled out proprietor contact data, enlistment center data, registrant data, area, and significantly more. WHOIS is a data set that comprises of required data about an enlisted space, or all the more definitively, the enrolled clients of a Web asset. A WHOIS data query is a more extensive scope of data on a space name, an IP address block, and the space accessibility status.

What is BigQuery

BigQuery is an enterprise data warehouse that draws on the processing power of Google Cloud Storage to enable fast processing of SQL queries through massive datasets. BigQuery helps businesses select the most appropriate software provider to assemble their data, based on the platforms the business uses. Once a business’ data is acculumated, it is moved into BigQuery. The company controls access to the data, but BigQuery stores and processes it for greater speed and convenience.

Integrate IP2Whois with BigQuery in minutes

Try for free now

Prerequisites

  1. A IP2Whois account to transfer your customer data automatically from.
  2. A BigQuery account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including IP2Whois and BigQuery, for seamless data migration.

When using Airbyte to move data from IP2Whois to BigQuery, it extracts data from IP2Whois using the source connector, converts it into a format BigQuery can ingest using the provided schema, and then loads it into BigQuery via the destination connector. This allows businesses to leverage their IP2Whois data for advanced analytics and insights within BigQuery, simplifying the ETL process and saving significant time and resources.

Step 1: Set up IP2Whois as a source connector

1. First, navigate to the IP2Whois source connector page on Airbyte's website.
2. Click on the "Create new connection" button.
3. In the "Configuration" tab, enter a name for your connection.
4. In the "Source" section, enter your IP2Whois API key in the "API Key" field.
5. In the "Source" section, enter the IP address or domain name you want to retrieve WHOIS information for in the "IP Address/Domain" field.
6. In the "Advanced" section, you can customize the output schema and set up incremental sync if desired.
7. Click on the "Check connection" button to ensure that your credentials are correct and the connection is successful.
8. Once the connection is successful, click on the "Create connection" button to save your configuration.
9. You can now run your IP2Whois source connector to retrieve WHOIS information for the specified IP address or domain name.

Step 2: Set up BigQuery as a destination connector

1. First, navigate to the Airbyte dashboard and select the "Destinations" tab on the left-hand side of the screen.

2. Scroll down until you find the "BigQuery" destination connector and click on it.

3. Click the "Create Destination" button to begin setting up your BigQuery destination.

4. Enter your Google Cloud Platform project ID and service account credentials in the appropriate fields.

5. Next, select the dataset you want to use for your destination and enter the table prefix you want to use.

6. Choose the schema mapping for your data, which will determine how your data is organized in BigQuery.

7. Finally, review your settings and click the "Create Destination" button to complete the setup process.

8. Once your destination is created, you can begin configuring your source connectors to start syncing data to BigQuery.

9. To do this, navigate to the "Sources" tab on the left-hand side of the screen and select the source connector you want to use.

10. Follow the prompts to enter your source credentials and configure your sync settings.

11. When you reach the "Destination" step, select your BigQuery destination from the dropdown menu and choose the dataset and table prefix you want to use.

12. Review your settings and click the "Create Connection" button to start syncing data from your source to your BigQuery destination.

Step 3: Set up a connection to sync your IP2Whois data to BigQuery

Once you've successfully connected IP2Whois as a data source and BigQuery as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select IP2Whois from the dropdown list of your configured sources.
  3. Select your destination: Choose BigQuery from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific IP2Whois objects you want to import data from towards BigQuery. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from IP2Whois to BigQuery according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your BigQuery data warehouse is always up-to-date with your IP2Whois data.

Use Cases to transfer your IP2Whois data to BigQuery

Integrating data from IP2Whois to BigQuery provides several benefits. Here are a few use cases:

  1. Advanced Analytics: BigQuery’s powerful data processing capabilities enable you to perform complex queries and data analysis on your IP2Whois data, extracting insights that wouldn't be possible within IP2Whois alone.
  2. Data Consolidation: If you're using multiple other sources along with IP2Whois, syncing to BigQuery allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: IP2Whois has limits on historical data. Syncing data to BigQuery allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: BigQuery provides robust data security features. Syncing IP2Whois data to BigQuery ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: BigQuery can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding IP2Whois data.
  6. Data Science and Machine Learning: By having IP2Whois data in BigQuery, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While IP2Whois provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to BigQuery, providing more advanced business intelligence options. If you have a IP2Whois table that needs to be converted to a BigQuery table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a IP2Whois account as an Airbyte data source connector.
  2. Configure BigQuery as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from IP2Whois to BigQuery after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

IP2Whois
BigQuery

Related Syncs with IP2Whois

Tags

Data & Analytics Platforms

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

IP2Whois
BigQuery

Related Syncs with IP2Whois

IP2Whois to BigQuery
IP2Whois to Databricks Lakehouse
IP2Whois to Firebolt
IP2Whois to S3
IP2Whois to Snowflake Data Cloud

Tags

Data & Analytics Platforms

Ready to get started?

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Frequently Asked Questions

What data can you extract from IP2Whois?

IP2Whois's API provides access to a wide range of data related to internet domains and IP addresses. The following are the categories of data that can be accessed through the API:

- Domain information: This includes the domain name, creation and expiration dates, registrar information, and contact details of the domain owner.
- IP address information: This includes the IP address, location, ISP, and other network-related information.
- DNS information: This includes the DNS server information, MX records, and other DNS-related data.
- WHOIS information: This includes the WHOIS record of the domain, which contains information about the domain owner, registrar, and other administrative details.
- Geolocation data: This includes the latitude and longitude coordinates of the IP address, as well as the city, region, and country where the IP address is located.
- Network information: This includes information about the network infrastructure, such as the autonomous system number (ASN) and the network range.
- Abuse contact information: This includes the contact details of the abuse department of the ISP or hosting provider associated with the IP address or domain.  

Overall, IP2Whois's API provides a comprehensive set of data that can be used for various purposes, such as cybersecurity, marketing, and research.

What data can you transfer to BigQuery?

You can transfer a wide variety of data to BigQuery. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from IP2Whois to BigQuery?

The most prominent ETL tools to transfer data from IP2Whois to BigQuery include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from IP2Whois and various sources (APIs, databases, and more), transforming it efficiently, and loading it into BigQuery and other databases, data warehouses and data lakes, enhancing data management capabilities.

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

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Connectors Used

IP2Whois
BigQuery

Related Syncs with IP2Whois

IP2Whois to BigQuery
IP2Whois to Databricks Lakehouse
IP2Whois to Firebolt
IP2Whois to S3
IP2Whois to Snowflake Data Cloud

Tags

Data & Analytics Platforms

Connectors Used

IP2Whois
BigQuery

Related Syncs with IP2Whois

IP2Whois to BigQuery
IP2Whois to Databricks Lakehouse
IP2Whois to Firebolt
IP2Whois to S3
IP2Whois to Snowflake Data Cloud

Tags

Data & Analytics Platforms