Eventbrite Scraper avatar

Eventbrite Scraper

Try for free

1 day trial then $14.99/month - No credit card required now

View all Actors
Eventbrite Scraper

Eventbrite Scraper

aitorsm/eventbrite
Try for free

1 day trial then $14.99/month - No credit card required now

Efficiently scrape and extract Eventbrite event data for market research, lead generation, and event aggregation. This Eventbrite Scraper provides structured data on event details, organizers, dates, venues, and pricing, with flexible filtering options by country, city, and category.

You can access the Eventbrite Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "country": "spain",
10    "city": "barcelona",
11    "category": "",
12    "keyword": "",
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("aitorsm/eventbrite").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Eventbrite Scraper API in Python

The Apify API client for Python is the official library that allows you to use Eventbrite Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 2 monthly users

  • 1 star

  • >99% runs succeeded

  • 6 hours response time

  • Created in Sep 2024

  • Modified a month ago

Categories