PDF - Extract Hyperlinks - Link Reader for Make

PDF4me Extract Hyperlinks module delivers automated hyperlink extraction from PDF documents within Make scenarios. This comprehensive link reading service retrieves URL destinations, link text, and page locations—enabling link auditing, SEO analysis, broken link detection, document analysis, and automated hyperlink cataloging workflows across cloud storage platforms and business applications.

Authenticating Your API Request

To access the PDF4me Web API through Make, every request must include proper authentication credentials. Authentication ensures secure communication and validates your identity as an authorized user, enabling seamless integration between your Make scenarios and PDF4me's powerful hyperlink extraction services.

Get your API Key

Key Features

Link Extraction: Retrieve all hyperlinks from PDF documents
Page Targeting: Extract from specific pages or page ranges
URL Cataloging: Build link inventories for auditing
SEO Analysis: Analyze linked URLs for SEO optimization
Broken Link Detection: Identify links for validation

Parameters

Complete list of parameters for the Extract Hyperlinks module. Configure these parameters based on the Make module configuration shown in the image.

Important: Parameters marked with an asterisk (***) are required and must be provided for the module to function correctly.

Parameter	Type	Description	Example
Connection***	String	PDF4me API Connection • Select or add your PDF4me connection • Required for API authentication • Create connection via online Help if needed	`testvarun20_prod`
File***	Binary/Map	Source PDF File • Dropbox - Download a File or Map from previous module • PDF document from which hyperlinks will be extracted • Source from Dropbox, Google Drive, HTTP	`Dropbox - Download a File`
Page Sequence***	String	Pages to Extract From • Enter page numbers: `2` for single page • Multiple pages: `2,5,6` or range `1-2` or `all` • Pages from which hyperlinks are extracted	`2`

Output

The PDF4me Extract Hyperlinks module returns comprehensive link data for seamless Make scenario integration:

Table
JSON
Scenario Integration

Table View

Response data in a structured table format:

Parameter	Type	Description
Hyperlinks	Array	List of extracted hyperlink objects
URL	String	Link destination URL
Link Text	String	Visible text of the hyperlink
Page Number	Integer	Page where link was found

JSON Response Format

The raw JSON response from the module:

{
  "Hyperlinks": [
    {
      "URL": "https://example.com/page",
      "LinkText": "Click here",
      "PageNumber": 2
    }
  ]
}

Scenario Examples

The PDF4me Extract Hyperlinks module in Make provides comprehensive scenario templates for hyperlink extraction automation:

Link Audit
SEO Link Catalog

Automated PDF Link Audit Scenario

Audit all links in your PDF documents:

Complete Scenario Steps:

Trigger: New PDF uploaded to document library
Get PDF: Download document from Dropbox
Extract Hyperlinks: Get all links (page: 2 or all)
Iterator: Process each extracted link
Validate URL: Check if link is accessible
Log Results: Store link status in database
Generate Report: Create audit report
Notify Webmaster: Alert if broken links found

Business Benefits:

Audits 100+ documents monthly automatically
Identifies broken links proactively
Maintains link quality across document library
Reduces manual link checking time by 90%

Create Scenario

Industry Use Cases & Applications

Document Management
Web & SEO
Compliance & Legal

Link Inventories: Build catalogs of PDF links
Audit Compliance: Extract and validate document links
Archive Analysis: Analyze links in archived documents
Quality Assurance: Verify link consistency

Get Help

Make Integration Get your API Key Make Documentation

Authenticating Your API Request​

Key Features​

Parameters​

Output​

Scenario Examples​

Industry Use Cases & Applications​

Get Help​