Extract text and metadata from a PDF URL
George Kioko
PDF Parser API
For developers and document teams who need PDF text inside a pipeline. The run downloads a public PDF, here the IRS Form W-9, and returns success flag, page count, word count, text length and processing time with the full text and metadata as a dataset row.
Input
Output fields
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The PDF Parser API Actor is ready to run with the inputs already set for "Extract text and metadata 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 metadata from a PDF URL" task
The PDF Parser API Actor will start running based on the input automatically. You can also change all the input fields, like PDF URL, to match your specific use case.
Receive the "Extract text and metadata 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 success, pages, words, 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 metadata from a PDF URL" task via API.
