Read an Excel table that starts below a title

Created by

Michael Costa

Actor

Dataset Transformer: Filter, Dedupe, JSON to CSV

Many official spreadsheets put a title and notes above the table. Set the header row and get clean rows from the table only, then filter, sort and keep the top rows. This example lists the 10 US states with the highest poverty rate from USDA's 2023 estimates.

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Dataset Transformer: Filter, Dedupe, JSON to CSVhumble-echidna/dataset-transform

State

Name

Poverty rate (%)

People in poverty

+1 field

Input

Or: file URL or upload (CSV, JSON, JSONL or Excel):https://www.ers.usda.gov/media/5493/poverty-estimates-for-the-united-states-states-and-counties-2023.xlsx

Excel: header row:5

Filters:FIPS_Code ends with 000+1

Sort by:PCTPOVALL_2023 desc

Max rows per run:10

Fields to keep (and rename):Stabr -> state+4

Output fields

State

Name

Poverty rate (%)

People in poverty

Median household income (USD)

How it works

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The Dataset Transformer: Filter, Dedupe, JSON to CSV Actor is ready to run with the inputs already set for "Read an Excel table that starts below a title". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Read an Excel table that starts below a title" task

The Dataset Transformer: Filter, Dedupe, JSON to CSV Actor will start running based on the input automatically. You can also change all the input fields, like or: file url or upload (csv, json, jsonl or excel), excel: header row, and more, to match your specific use case.

Receive the "Read an Excel table that starts below a title" 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 state, name, poverty rate (%), 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 "Read an Excel table that starts below a title" task via API.