BLS Average Hourly Earnings Scraper
ParseForge
Collect U.S. average hourly earnings data straight from the Bureau of Labor Statistics to track wage growth trends over multiple years.
Input
Output fields
Sign up on Apify or log in
The BLS Wage Data Scraper Actor is ready to run with the inputs already set for "BLS Average Hourly Earnings Scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "BLS Average Hourly Earnings Scraper" task
The BLS Wage Data Scraper Actor will start running based on the input automatically. You can also change all the input fields, like maximum records, data series, and more, to match your specific use case.
Receive the "BLS Average Hourly Earnings Scraper" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as series id, series name, category, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "BLS Average Hourly Earnings Scraper" task via API.
