Pricing
Pay per event
Professional Apify Actor that aggregates upcoming events from Eventbrite, Meetup, and Lu.ma with attendee counts, organizer info, and unified data model.
Pricing
Pay per event
Rating
4.1
(4)
Developer
WebDataLabs
Actor stats
2
Bookmarked
50
Total users
14
Monthly active users
1.1 days
Issues response
4 days ago
Last modified
Categories
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You can access the Event Scraper Pro programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "keywords": [10 "tech",11 "startup",12 ],13 "cities": ["Berlin"],14 "platforms": [15 "meetup",16 "luma",17 "eventbrite",18 ],19 "dateFrom": "2025-01-01",20 "dateTo": "2025-03-01",21}22
23# Run the Actor and wait for it to finish24run = client.actor("webdatalabs/event-scraper-pro").call(run_input=run_input)25
26# Fetch and print Actor results from the run's dataset (if there are any)27print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])28for item in client.dataset(run["defaultDatasetId"]).iterate_items():29 print(item)30
31# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Event Scraper Pro API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: