Adobe PDF Services Data Extraction Automation
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This n8n workflow provides a powerful wrapper for Adobe PDF Services, enabling automated extraction of structured data like text and tables from PDF documents. Streamline your document processing by programmatically uploading, processing, and downloading valuable insights from your PDFs.
About This Workflow
Unlock the data hidden within your PDF documents effortlessly with this n8n workflow, leveraging the full power of Adobe PDF Services. This comprehensive solution handles the entire lifecycle of PDF data extraction: from securely authenticating with Adobe APIs and uploading your PDF assets, through initiating advanced extraction operations (like text and table recognition), to patiently waiting for Adobe's processing to complete, and finally downloading the structured results. It's designed to bring efficiency to document-heavy workflows, transforming unstructured PDFs into actionable data outputs such as JSON or ZIP files, ready for further analysis or integration into your business systems.
Key Features
- Full Adobe PDF Services Integration: Seamlessly connect to and utilize Adobe's robust PDF Extract API for advanced document processing.
- Structured Data Extraction: Automatically extract specific elements like text and tables from your PDFs, configured to your exact needs.
- Automated Asset Management: Handles asset creation, processing, and result retrieval within the Adobe ecosystem, simplifying complex API interactions.
- Flexible PDF Input: Easily adapt to load PDFs from various sources (e.g., Dropbox, local storage, or other n8n nodes) for dynamic processing.
- Customizable Extraction Parameters: Define precisely what data you need to extract from your documents (e.g.,
renditionsToExtract,elementsToExtract) using a simple JSON payload.
How To Use
- Set Up Adobe API Credentials: As indicated in the workflow's sticky note, you'll need to create custom credentials for your Adobe Document Services API. This typically involves an
httpHeaderAuthcredential named "Adobe API calls" which will use anaccess_tokenobtained from an upstream authentication process (not fully detailed in this snippet, but common for Adobe APIs). - Configure PDF Input: The workflow currently uses a Dropbox node ("Load a test pdf file") for demonstration. Replace or configure this node to fetch your desired PDF file from its source (e.g., Google Drive, S3, a webhook, or a local file).
- Define Extraction Query: In the "Adobe API Query" node, adjust the
endpoint(e.g.,extractpdf) andjson_payloadparameters to specify the exact extraction operation and what elements (text, tables, images) or renditions you wish to extract from your PDF. - Run the Workflow: Execute the workflow manually (using "When clicking ‘Test workflow’" for testing) or integrate it into a larger automation flow triggered by new documents.
- Access Results: The final "Try to download the result" node will provide a download URL for the processed data, typically a JSON file containing extracted text and tables, or a ZIP file depending on your extraction query.
Apps Used
Workflow JSON
{
"id": "dd303527-2023-4fde-92f2-aa01f1782dd0",
"name": "Adobe PDF Services Data Extraction Automation",
"nodes": 7,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: dd303527-2023...
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