GNews aggregates global news, offering real-time updates from diverse sources. It's invaluable for staying informed, tracking trends, and conducting research across multiple topics.
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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.
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.
Set up a source connector to extract data from in Airbyte
Choose from one of 400 sources where you want to import data from. This can be any API tool, cloud data warehouse, database, data lake, files, among other source types. You can even build your own source connector in minutes with our no-code no-code connector builder.
Configure the connection in Airbyte
The Airbyte Open Data Movement Platform
The only open solution empowering data teams to meet growing business demands in the new AI era.
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Move large volumes, fast.
Change Data Capture.
Security from source to destination.
We support the CDC methods your company needs
Log-based CDC
Timestamp-based CDC
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Keep your data engineering costs in check
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- Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
- Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.
White-glove enterprise-level support
Including for your Airbyte Open Source instance with our premium support.
Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.
Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.
Airbyte supports a growing list of sources, including API tools, cloud data warehouses, lakes, databases, and files, or even custom sources you can build.
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FAQs
What is ETL?
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.
GNews stands for Google News which is a news notification program for the Google Chrome internet browser. It is a personalized news aggregator that organizes and highlights what's happening in the world so you can discover more about the stories. Google News assists you organize, find, and understand the news. You can change your settings to find more stories you want. Google News helps you organize, find, and understand the news.
Google News API provides access to a wide range of data related to news articles and sources. The following are the categories of data that can be accessed through the API:
1. Articles: The API provides access to news articles from various sources, including the title, description, author, and publication date.
2. Sources: The API allows users to retrieve information about news sources, including the name, description, and URL.
3. Topics: The API provides access to news articles based on specific topics, such as sports, politics, and entertainment.
4. Locations: The API allows users to retrieve news articles based on specific locations, such as cities, states, and countries.
5. Languages: The API provides access to news articles in different languages, including English, Spanish, French, and German.
6. Images: The API allows users to retrieve images related to news articles, including the image URL and caption.
7. Videos: The API provides access to news videos from various sources, including the video URL and description.
Overall, the Google News API provides a comprehensive set of data related to news articles and sources, making it a valuable resource for developers and researchers.
What is ELT?
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.
Difference between ETL and ELT?
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.
What is ETL?
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.
GNews stands for Google News which is a news notification program for the Google Chrome internet browser. It is a personalized news aggregator that organizes and highlights what's happening in the world so you can discover more about the stories. Google News assists you organize, find, and understand the news. You can change your settings to find more stories you want. Google News helps you organize, find, and understand the news.
Google News API provides access to a wide range of data related to news articles and sources. The following are the categories of data that can be accessed through the API:
1. Articles: The API provides access to news articles from various sources, including the title, description, author, and publication date.
2. Sources: The API allows users to retrieve information about news sources, including the name, description, and URL.
3. Topics: The API provides access to news articles based on specific topics, such as sports, politics, and entertainment.
4. Locations: The API allows users to retrieve news articles based on specific locations, such as cities, states, and countries.
5. Languages: The API provides access to news articles in different languages, including English, Spanish, French, and German.
6. Images: The API allows users to retrieve images related to news articles, including the image URL and caption.
7. Videos: The API provides access to news videos from various sources, including the video URL and description.
Overall, the Google News API provides a comprehensive set of data related to news articles and sources, making it a valuable resource for developers and researchers.
What is ELT?
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.
Difference between ETL and ELT?
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.
What is ETL?
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.
GNews stands for Google News which is a news notification program for the Google Chrome internet browser. It is a personalized news aggregator that organizes and highlights what's happening in the world so you can discover more about the stories. Google News assists you organize, find, and understand the news. You can change your settings to find more stories you want. Google News helps you organize, find, and understand the news.
Google News API provides access to a wide range of data related to news articles and sources. The following are the categories of data that can be accessed through the API:
1. Articles: The API provides access to news articles from various sources, including the title, description, author, and publication date.
2. Sources: The API allows users to retrieve information about news sources, including the name, description, and URL.
3. Topics: The API provides access to news articles based on specific topics, such as sports, politics, and entertainment.
4. Locations: The API allows users to retrieve news articles based on specific locations, such as cities, states, and countries.
5. Languages: The API provides access to news articles in different languages, including English, Spanish, French, and German.
6. Images: The API allows users to retrieve images related to news articles, including the image URL and caption.
7. Videos: The API provides access to news videos from various sources, including the video URL and description.
Overall, the Google News API provides a comprehensive set of data related to news articles and sources, making it a valuable resource for developers and researchers.
1. Go to the GNews website and create an account if you don't have one already.
2. Once you have an account, go to the GNews API documentation page and click on the "Get Started" button.
3. Follow the instructions to create a new project and obtain your API key.
4. In Airbyte, go to the "Sources" tab and click on "New Source".
5. Select "GNews" from the list of available connectors.
6. Enter a name for your source and paste your API key into the "API Key" field.
7. Choose the language and country you want to retrieve news from.
8. Select the categories you want to include in your news feed.
9. Choose the date range for the news articles you want to retrieve.
10. Click on "Test Connection" to make sure your credentials are correct and the connection is successful.
11. If the test is successful, click on "Create Source" to save your configuration.
12. You can now use your GNews source connector to retrieve news articles and integrate them with other data sources in Airbyte.
What is ELT?
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.
Difference between ETL and ELT?
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.