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Extract tables from a PDF report to JSON and CSV

Turn the tables in a PDF report into header-mapped JSON rows and CSV, with the page number of every table. The example uses the Federal Reserve G.19 consumer credit release.

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PDF to Markdown, Tables & OCR Extractor
PDF to Markdown, Tables & OCR Extractorcylindrical_lighthouse/document-intelligence
Document
Table
Page
Detection
+4 fields
Text
Number
Boolean
List
Object

Input

Document URLs
url:https://www.federalreserve.gov/releases/g19/current/g19.pdf
Max pages per document:50

Output fields

Document
Table
Page
Detection
Columns
Rows
Columns (n)
CSV

How it works

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The PDF to Markdown, Tables & OCR Extractor Actor is ready to run with the inputs already set for "Extract tables from a PDF report to JSON and CSV". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract tables from a PDF report to JSON and CSV" task

The PDF to Markdown, Tables & OCR Extractor Actor will start running based on the input automatically. You can also change all the input fields, like document urls and max pages per document, to match your specific use case.

Receive the "Extract tables from a PDF report to JSON and CSV" 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 document, table, page, 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 "Extract tables from a PDF report to JSON and CSV" task via API.

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