Recently, I was tasked with implementing a solution to extract structured content from PDFs using Sitecore Search. PDFs, by nature, are not HTML-based, and since Sitecore Search document extractors only parse HTML, I needed a way to transform PDFs into an HTML-readable structure. Here’s how I approached and implemented this requirement effectively.
The Challenge
The primary goal was to extract key attributes (like titles, descriptions, and tags) from PDFs by leveraging their HTML structure. However, identifying the HTML structure of a PDF isn’t straightforward. I needed to:
- Extract the complete HTML structure of sample PDFs.
- Analyze their HTML patterns to configure accurate document extractors.
Implementation Steps
1. Creating a Dummy Attribute for HTML Extraction
To extract the entire HTML content of a PDF, I created a dummy attribute that would hold the HTML structure.
- Entity: Content
- Display Name:
PDF to HTML
- Attribute Name:
pdf_to_html
- Placement: Standard
- Data Type: String
This attribute acted as a placeholder for the extracted HTML content, making it easy to reference later.
2. Setting Up a Temporary Web Crawler
To analyze the HTML structure of PDFs, I created a temporary advanced web crawler to process sample PDF URLs.
Source Configuration:
- Source Name:
Temp PDF to HTML
- Connector Type:
Web Crawler (Advanced)
- Max Depth: Set to
0
to prevent the crawler from indexing linked URLs.
- Source Name:
Request Triggers:
I added URLs for a few representative PDFs (covering diverse structures such as text-heavy, image-heavy, and Q&A formats) as request triggers.
This temporary crawler ensured that only the selected PDFs were processed.
3. Configuring the JavaScript Document Extractor
To extract the HTML structure, I configured a JavaScript document extractor with the following logic:
This function uses the html()
jQuery method to fetch the root HTML structure of each PDF and assigns it to the pdf_to_html
attribute.
4. Viewing the Extracted HTML in Content Collection
After publishing and running the crawler, I inspected the indexed content to analyze the HTML structure.
- Navigated to Content Collection in the Sitecore CEC.
- Filtered by the source
Temp PDF to HTML
. - Opened individual content items to examine the
PDF to HTML
attribute, which displayed the full HTML structure of the PDF.
By repeating this process for multiple sample PDFs, I was able to identify patterns in the HTML content.
Key Insights and Learnings
Understand HTML Structures Early:
Scanning diverse PDFs early helped identify common patterns and edge cases, enabling accurate document extractor configurations.Iterative Testing:
Viewing the extracted HTML in the Content Collection ensured that the configurations were capturing the desired data accurately.Temporary Sources for Exploration:
Using a temporary crawler isolated the exploration process without impacting production content or configurations.
Final Outcome
With the HTML structures in hand, I configured specialized document extractors tailored to extract meaningful attributes like titles, descriptions, and tags from PDFs. The solution is now scalable to handle a variety of PDF types while ensuring consistent indexing in Sitecore Search.
Closing Thoughts
This experience highlights the flexibility and power of Sitecore Search’s document extractors. By leveraging tools like JavaScript extractors and advanced web crawlers, extracting structured content from non-HTML formats like PDFs becomes a manageable and efficient process.