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Parse CSV text into structured rows
Created by
Lav Chaudhary
Parse bounded CSV text into headers and rows with row counts and warnings. This handles text tables only and does not execute or interpret arbitrary code.
Document Table Extractorencouraged_offspring/document-table-extractor
Tables
Total rows
Warnings
Limitation
TextNumberBooleanListObject
Input
Delimited table(required):name,amount
Alpha,10
Beta,20
Format(required):csv
First row is a header(required):true
Output fields
Tables
Total rows
Warnings
Limitation
Sign up on Apify01
Create your Apify account to access the Document Table Extractor.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
