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Build a recurring labor data ETL sample

Inventory New York labor datasets and refresh bounded rows from Local Area Unemployment Statistics for recurring civic-data ETL workflows.

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New York State Open Data Scraper
New York State Open Data Scraperautomation-lab/new-york-open-data-catalog-export
Record type
Dataset ID
Dataset
Row dataset
+6 fields
Text
Number
Boolean
List
Object

Input

Catalog search:unemployment
Dataset IDs:5hyu-bdh8
Maximum catalog records:5
Rows per selected dataset:10
Include catalog metadata:true

Output fields

Record type
Dataset ID
Dataset
Row dataset
Category
Updated
Row index
Row data
Source
Fetched

How it works

Sign up on Apify or log in

The New York State Open Data Scraper Actor is ready to run with the inputs already set for "Build a recurring labor data ETL sample". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a recurring labor data ETL sample" task

The New York State Open Data Scraper Actor will start running based on the input automatically. You can also change all the input fields, like catalog search, dataset ids, and more, to match your specific use case.

Receive the "Build a recurring labor data ETL sample" 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 record type, dataset id, dataset, 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 "Build a recurring labor data ETL sample" task via API.

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