Apify Find Events icon

Apify Find Events

Finds and normalizes local events across global and regional event platforms, automatically prioritizing sources with proven local affinity.

Apify Find Events

AI-generated

Summary

Searches for local events in the requested city and category across supported event platforms, then returns normalized results from an Apify actor. You can set a time window, cap the number of events, choose platforms, request event-page details where supported, and enable diagnostic data in the key-value store.

Inputs

  • Category (required) — Event category to search, from All, Music, Nightlife, Business, Technology, Food & Drink, Arts & Culture, Comedy, Sports & Fitness, Wellness, Community & Culture, or Family & Education. Defaults to All.
  • City (required) — Free-form city name, optionally with a state or country, such as “Dallas, TX” or “New York.”
  • Time window — Filter events to this week, this month, or all dates. Defaults to this month; the actor resolves the window using the city’s timezone.
  • Max events (required) — Maximum number of normalized events to return across platforms; accepts 1–500 and defaults to 50.
  • Get event details — Ask supported platform actors to enrich listings with full event-page details. Defaults to false; unsupported actors ignore this setting.
  • Platforms — Optional allowlist of Eventbrite, Meetup, Luma, Partiful, Dice, Eventnoire, Posh, Prekindle, Shotgun, Showpass, Sympla, RunSignup, and Eventeny. Defaults to all listed platforms. Regional sources are used only where they serve the requested city or country.
  • Child run timeout — Maximum seconds to wait for any one downstream actor; accepts 30–900 and defaults to 240.
  • Debug mode — When enabled, stores route plans, child inputs, affinity decisions, and skipped-platform reasons in the key-value store. Defaults to false.
  • Authentication (required) — Choose Apify API key or OAuth2 credentials. Defaults to API Key.

Output shape

A list of event items returned from the Apify dataset, with run metadata merged into each item for normal node execution.

The node runs the Apify actor for each incoming item and pairs returned items with that input. When used as an AI tool, it returns dataset items without run metadata. If Continue On Fail is enabled, a failed input produces an item containing an error message.

Links

Discussion