Apify Registry Events Tracker — New Companies & Dissolutions (FR+UK) icon

Apify Registry Events Tracker — New Companies & Dissolutions (FR+UK)

Fresh company registry events as sales signals: new registrations, dissolutions, modifications and insolvency proceedings for France (BODACC) and the UK (Companies House). Filter by event type, region, sector and date window, with dedup and a new-only alert mode. Official open data.

Apify Registry Events Tracker — New Companies & Dissolutions (FR+UK)

AI-generated

Summary

Runs the Apify registry-events Actor for France (BODACC), the UK (Companies House), or both, applying the configured date, event, region, SIC, alert, and result-limit settings. Returns the Actor run data and dataset items as n8n output items.

Inputs

  • Country — Select France (default), United Kingdom, or both.
  • Event types — Optional list of event types: new_company, dissolution, modification, insolvency, or accounts_filing. The UI describes an empty list as all events for France; the UK supports new_company only.
  • Lookback window (days) — Only include events from the last 1–365 days; defaults to 7.
  • Region filter (optional) — For France, a department number such as 75; for the UK, a location or town such as London.
  • Sector / SIC codes (UK, optional) — List SIC codes to filter UK new incorporations, such as 62012.
  • Alert mode: only new since last run — When enabled, requests only events not seen in previous runs, according to the Actor's persisted history; defaults to false.
  • Alert key — Namespace for separate new-only histories; defaults to default.
  • Max results (cost cap) — Maximum events returned/charged per run, from 1–2000; defaults to 50.
  • Authentication — Choose Apify API Key (default) or OAuth2 and configure the corresponding Apify credentials.

Output shape

A list of n8n items containing the Actor run data and dataset results.

The Actor is started and polled until it reaches a terminal status, then its dataset items are fetched. Each output item is paired with its corresponding input item. If the node is used as an AI tool, output contains dataset results without the run data. With continue-on-fail enabled, an item that errors produces an item with an error field.

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