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Automate Dutch Public Procurement Data Collection with TenderNed

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Created by: Wessel Bulte || uuessel

Wessel Bulte

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Last update 13 hours ago

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TenderNed Public Procurement

What This Workflow Does

This workflow automates the collection of public procurement data from TenderNed (the official Dutch tender platform). It:

  1. Fetches the latest tender publications from the TenderNed API
  2. Retrieves detailed information in both XML and JSON formats for each tender
  3. Parses and extracts key information like organization names, titles, descriptions, and reference numbers
  4. Filters results based on your custom criteria
  5. Stores the data in a database for easy querying and analysis

Setup Instructions

This template comes with sticky notes providing step-by-step instructions in Dutch and various query options you can customize.

Prerequisites

  1. TenderNed API Access - Register at TenderNed for API credentials

Configuration Steps

  1. Set up TenderNed credentials:

    • Add HTTP Basic Auth credentials with your TenderNed API username and password
    • Apply these credentials to the three HTTP Request nodes:
      • "Tenderned Publicaties"
      • "Haal XML Details"
      • "Haal JSON Details"
  2. Customize filters:

    • Modify the "Filter op ..." node to match your specific requirements
    • Examples: specific organizations, contract values, regions, etc.

How It Works

Step 1: Trigger

The workflow can be triggered either manually for testing or automatically on a daily schedule.

Step 2: Fetch Publications

Makes an API call to TenderNed to retrieve a list of recent publications (up to 100 per request).

Step 3: Process & Split

Extracts the tender array from the response and splits it into individual items for processing.

Step 4: Fetch Details

For each tender, the workflow makes two parallel API calls:

  • XML endpoint - Retrieves the complete tender documentation in XML format
  • JSON endpoint - Fetches metadata including reference numbers and keywords

Step 5: Parse & Merge

Parses the XML data and merges it with the JSON metadata and batch information into a single data structure.

Step 6: Extract Fields

Maps the raw API data to clean, structured fields including:

  • Publication ID and date
  • Organization name
  • Tender title and description
  • Reference numbers (kenmerk, TED number)

Step 7: Filter

Applies your custom filter criteria to focus on relevant tenders only.

Step 8: Store

Inserts the processed data into your database for storage and future analysis.

Customization Tips

Modify API Parameters

In the "Tenderned Publicaties" node, you can adjust:

  • offset: Starting position for pagination
  • size: Number of results per request (max 100)
  • Add query parameters for date ranges, status filters, etc.

Add More Fields

Extend the "Splits Alle Velden" node to extract additional fields from the XML/JSON data, such as:

  • Contract value estimates
  • Deadline dates
  • CPV codes (procurement classification)
  • Contact information

Integrate Notifications

Add a Slack, Email, or Discord node after the filter to get notified about new matching tenders.

Incremental Updates

Modify the workflow to only fetch new tenders by:

  1. Storing the last execution timestamp
  2. Adding date filters to the API query
  3. Only processing publications newer than the last run

Troubleshooting

No data returned?

  • Verify your TenderNed API credentials are correct
  • Check that you have setup youre filter proper

Need help setting this up or interested in a complete tender analysis solution?

Get in touch

🔗 LinkedIn – Wessel Bulte