Get insights into macroeconomic indicators, market trends, consumer behavior, and financial forecasts.
- Available as a custom dataset
- Get accurate economics data
- Tell us the website, we will get you the data
TRUSTED BY 20,000+ CUSTOMERS WORLDWIDE
Economics data points
We will build an economics dataset based on your needs. Public economics datasets typically encompass a variety of data points, such as GDP growth rates, inflation trends, employment statistics, consumer spending patterns, trade balances, interest and exchange rates, commodity prices, and economic policy updates.
Subscribe to a data feed for new or updated records
Benefit from strict data validation for accuracy and reliability
Enjoy data collection management with zero effort
Streamline operations with easy data access via API
Economics datasets tailored to your needs
Scale without worrying about infra, proxy servers, or blocks.
Datasets are maintained based on website structure changes.
Customize any dataset using filters and formatting options.
Get new or updated records delivered in a fresh data feed.
API, Webhook, Google Cloud, S3 bucket, SFTP, Azure, Snowflake.
File output formats
Dataset formats are JSON, ndJSON, CSV, or Excel.
A dedicated team of data professionals is here to help.
Benefit from integrations with Snowflake and AWS.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable Economics data
We’ll provide the data while you focus on the rest
High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.
Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.
Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
How companies use Economics datasets
Flexible pricing, starting from $0.001/record
- Pay only for what you need
- Free samples available
- Cut costs by filtering unnecessary data