New York Times to BigQuery connector
€100/month
Sync New York Times articles and most-popular lists into BigQuery with Kaivo to analyse coverage and track what readers engage with.
What gets synced
Kaivo syncs 4+ New York Times tables, including archive, most_popular_emailed, most_popular_shared, most_popular_viewed, into your BigQuery warehouse.
See all New York Times tablesWhat you can do with New York Times data
Coverage analysis
Use archive to study article volume by section and keyword over time.
Popularity tracking
Compare most_popular_viewed, shared, and emailed to see what resonates.
Section trends
Group articles by section to follow topic coverage.
Content archive
Bring articles into BigQuery to build a searchable record.
Use your New York Times data in your AI and BI tools
Once your New York Times data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools like Claude or any BI tool that connects to BigQuery. Here is how the most common tools work with New York Times data.
Analyze New York Times data with Claude
Once your New York Times data is in BigQuery you can ask Claude questions about it and get reports and summaries in plain language.
New York Times data in Power BI
Connect your New York Times data in BigQuery to Power BI and build live dashboards that refresh automatically.
New York Times data in Data Studio
Connect your New York Times data in BigQuery to Data Studio and build shareable reports that stay up to date.
New York Times data in Tableau
Connect your New York Times data in BigQuery to Tableau and explore it with interactive visualizations.
New York Times data in Google Sheets
Pull your New York Times data from BigQuery into Google Sheets for quick analysis and shared reporting.
New York Times data in Excel
Pull your New York Times data from BigQuery into Excel for quick analysis and reporting.
Start analyzing your New York Times data in three easy steps
Connect your New York Times account
Connecting to New York Times or any of our other 500+ ready-made data sources is quick and doesn't require deep technical knowledge.
Select the data you want to fetch
The tables and columns you select will be stored securely in a fully managed BigQuery data warehouse.
Analyze with your data tool
Plug in your favorite data tool and start analyzing. All the data you selected will be available in an easy-to-use format.
Why get your data connectors from Kaivo
Access all the data you need
Bring together data from your marketing, finance, HR, CRM, and other systems. Select from our 500+ ready-made data connectors or ask for custom connectors.
Use the data tool of your choice
Analyze data and build reports with your favorite tools. No need to learn a new and complicated tool.
Data warehouse included
All Kaivo plans include a fully managed BigQuery warehouse. Get all the benefits of a data warehouse without any of the hassle.
Data always up to date
Schedule automatic data syncs to run as frequently as you need and your reports will always have the latest numbers.
No need to worry about maintenance
Tools, APIs, and databases change, but we keep your data pipelines working and connectors updated.
Data is cleaned and ready for reporting
Raw data from source systems can be hard to use for analytics or reports. Kaivo automatically cleans all data and makes it easy to use.
Data-driven companies sync their data with Kaivo
Answers to your questions
Yes. Kaivo syncs your New York Times data into a managed Google BigQuery warehouse and keeps it up to date automatically.
Kaivo syncs 4+ New York Times tables, including archive, most_popular_emailed, most_popular_shared, most_popular_viewed.
Kaivo keeps your New York Times data up to date with automatic syncs that you can schedule as often as you need.
No. Kaivo is fully managed, so you can connect New York Times and start analyzing without building or maintaining any data pipelines.
The New York Times connector is €100 per month plus the Kaivo platform fee. See the pricing page for platform fee details and trial terms.
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