Connectors

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New York Times

Data replication

Sync New York Times data anywhere.

The Times Developer Network is our API clearinghouse and community. You need to read the API documentation and browse the application gallery to get the latest news about the New York Times API. If you do not agree to any of the terms below or the NYT Terms of Service, NYT does not grant you a license to use the NYT API. In the event of any inconsistency between these Terms of Use and the Terms of Service, these Terms of Use control.

  • Standard
  • Alpha
  • 4 streams
New York Times

Everything New York Times can do in Airbyte

  • Sync to your warehouse

    Land 4 New York Times 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.

  • One authorization

    Authenticate New York Times once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the New York Times connector on Cloud, Self-Managed Enterprise.

What to know before you sync New York Times

  • Support levelStandard
  • Available onCloud, Self-Managed Enterprise
  • Connector version0.2.39
  • Release stageAlpha

Sync capabilities

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

Set up in 7 steps

  1. First, navigate to the New York Times source connector page on Airbyte's website.
  2. Click on the "Setup New York Times Source" button.
  3. Enter your New York Times API key in the "API Key" field. If you do not have an API key, you can obtain one by following the instructions on the New York Times API website.
  4. Enter the start date and end date for the data you want to retrieve in the "Start Date" and "End Date" fields, respectively.
  5. Choose the data you want to retrieve by selecting the appropriate checkboxes under "Streams." You can choose from articles, comments, and tags.
  6. Click on the "Test Connection" button to ensure that your credentials are correct and that Airbyte can connect to the New York Times API.
  7. If the test is successful, click on the "Create Connection" button to save your settings and start syncing data from the New York Times API to your destination.

Every table you can sync from New York Times

  • Archive

  • Most Popular Emailed Articles

  • Most Popular Shared Articles

  • Most Popular Viewed Articles

Authenticate New York Times once

  • API Key

    API Key

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.

The New York Times API provides access to a wide range of data categories, including:

1. Articles: Full-text articles from the New York Times, including news, opinion, and feature pieces.
2. Multimedia: Images, videos, and other multimedia content from the New York Times.
3. Best Sellers: Lists of best-selling books, both fiction and non-fiction, as compiled by the New York Times.
4. Movie Reviews: Reviews of movies from the New York Times, including ratings and summaries.
5. TimesTags: A comprehensive list of tags used by the New York Times to categorize articles and other content.
6. Times Newswire: A real-time feed of breaking news stories from the New York Times.
7. Top Stories: A list of the most popular articles on the New York Times website, updated in real-time.
8. Archive: Access to the New York Times archive, including articles dating back to 1851.
9. Times Insider: Exclusive content from the New York Times, including behind-the-scenes stories and interviews with journalists.

Overall, the New York Times API provides a wealth of data for developers and researchers interested in exploring the content and history of one of the world's most respected news organizations.

1. First, navigate to the New York Times source connector page on Airbyte's website.
2. Click on the "Setup New York Times Source" button.
3. Enter your New York Times API key in the "API Key" field. If you do not have an API key, you can obtain one by following the instructions on the New York Times API website.
4. Enter the start date and end date for the data you want to retrieve in the "Start Date" and "End Date" fields, respectively.
5. Choose the data you want to retrieve by selecting the appropriate checkboxes under "Streams." You can choose from articles, comments, and tags.
6. Click on the "Test Connection" button to ensure that your credentials are correct and that Airbyte can connect to the New York Times API.
7. If the test is successful, click on the "Create Connection" button to save your settings and start syncing data from the New York Times API to your destination.

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 New York Times data today

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