Extract Text and Tables From a PDF URL
Don Mangu
Paste a link to a PDF and get its text per page, a Markdown version and the tables it contains, as one clean dataset row per file. Works on text-based PDFs, no login and no API key. The example runs on a three-page sample PDF; replace the link with your own.
Input
Output fields
Sign up on Apify or log in
The PDF Extractor API: Text, Markdown, Tables, No Login Actor is ready to run with the inputs already set for "Extract Text and Tables From a PDF URL". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Extract Text and Tables From a PDF URL" task
The PDF Extractor API: Text, Markdown, Tables, No Login Actor will start running based on the input automatically. You can also change all the input fields, like PDF URLs, row per, and more, to match your specific use case.
Receive the "Extract Text and Tables From a PDF URL" 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 PDF URL, status, title, 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 Text and Tables From a PDF URL" task via API.
