Ticketmaster Scraper
Pricing
Pay per usage
Ticketmaster Scraper
Scrapes events from Ticketmaster.com based on their categories, genres, location and date. Enhances Ticketmaster's built-in event search by searching multiple categories and genres at once. Provides dataset sorting options corresponding to the Ticketmaster's UI.
2.0 (1)
Pricing
Pay per usage
18
Monthly users
19
Runs succeeded
>99%
Response time
74 days
Last modified
a year ago
You can access the Ticketmaster Scraper programmatically from your own 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 "maxItems": 200,
10 "countryCode": "US",
11 "geoHash": "dr5regw3pg6ft",
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("lhotanova/ticketmaster-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startScrapes events by categories, genres, location and date. API in Python
The Apify API client for Python is the official library that allows you to use Ticketmaster Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Pricing
Pricing model
Pay per usageThis Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.
