insolvenzbekanntmachungen

n8n node to search for insolvency announcements in Germany

Package Information

Released: 2 mo ago
Downloads: 0 weekly / 0 monthly
Latest Version: 1.0.0

Documentation

n8n-nodes-insolvenzbekanntmachungen

This n8n node lets you search official German insolvency announcements directly from n8n workflows.

n8n is a workflow automation platform.
insolvenzbekanntmachungen.de is the official German state portal for publishing court insolvency announcements.

Installation

Follow the installation guide in the n8n documentation for community nodes.

Features

The node searches the public register and returns the matching insolvency announcements.

Credentials

None required. insolvenzbekanntmachungen.de is a fully public register with no authentication mechanism, so this node ships without a credential type.

Search Filters

  • Company / Last Name - Company name or last name of the debtor, supports wildcards
  • First Name - First name (only relevant for natural persons)
  • Registered Office / Residence - Place of registered office or residence of the debtor
  • Wildcard Character - Which character (*, +, %, #) acts as a placeholder in the fields above
  • Date From / Date To - Publication time range
  • Federal State - Restrict to a federal state
  • Insolvency Court - Restrict to a specific insolvency court
  • Subject - Type of announcement (e.g. opening, protective measure, termination)
  • Case Number - Restrict to a specific case number (division, register code, serial number, year)
  • Register Entry - Restrict to a specific register entry (register court, register type, register number)

Results can be limited via Return All / Limit.

Usage

  1. Enter one or more search filters - all are optional and combined as an AND search
  2. Run the node to fetch matching announcements from insolvenzbekanntmachungen.de

Note: The node scrapes the public search form of insolvenzbekanntmachungen.de, since no official API exists. Layout changes on the site may require an update to this node.

Resources

License

MIT

Credits

Thanks to the valuable work of:

Author

(C) 2026, Ondics GmbH, https://ondics.de/

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