Extract text from public annual reports (PDF)

Created by

Rowcraft

Actor

PDF Text Extractor: Text, Pages and Metadata from PDF Links

The text of the latest annual reports of the US central bank, read from the PDF links on its reports page: page count, title, language, word count and the text of the first 50 pages of each report. Replace the page address with the reports page of any company or public body.

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PDF Text Extractor: Text, Pages and Metadata from PDF Linksrowcraft/pdf-text-extractor

Title from the document information, or the first line of the first page

Number of pages of the PDF

Number of words in the text read

Language of the text (en, de, fr, es, it, pt, nl, pl, ro or sv), null when unsure

+4 fields

Input

PDF links(required):https://www.federalreserve.gov/publications/annual-report.htm

Collect PDF links from pages:true

PDF links read per page:3

Maximum pages per document:50

Output fields

Title from the document information, or the first line of the first page

Number of pages of the PDF

Number of words in the text read

Language of the text (en, de, fr, es, it, pt, nl, pl, ro or sv), null when unsure

True when the PDF has a text layer; false for scans, password-protected and damaged files

Size of the downloaded file in bytes

Creation date from the document information (ISO 8601)

Address that answered, after redirects

How it works

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The PDF Text Extractor: Text, Pages and Metadata from PDF Links Actor will start running based on the input automatically. You can also change all the input fields, like PDF links, collect pdf links from pages, and more, to match your specific use case.

Receive the "Extract text from public annual reports (PDF)" 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 title from the document information, or the first line of the first page, number of pages of the pdf, number of words in the text read, and more.

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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Extract text from public annual reports (PDF)" task via API.