![Ticketmaster Scraper avatar](https://images.apifyusercontent.com/tg-SQLtjN57YyMsuIU7Gu22ulD1OhUaNlX0NAKSiF2w/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS95RWhlWEhLeEtxcU1lcmxMQi83Y1NOVEduZ1B4YWJoZDYyZi10aWNrZXRtYXN0ZXJfbG9nby5wbmc.webp)
Ticketmaster Scraper
Try for free
No credit card required
View all Actors![Ticketmaster Scraper](https://images.apifyusercontent.com/tg-SQLtjN57YyMsuIU7Gu22ulD1OhUaNlX0NAKSiF2w/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS95RWhlWEhLeEtxcU1lcmxMQi83Y1NOVEduZ1B4YWJoZDYyZi10aWNrZXRtYXN0ZXJfbG9nby5wbmc.webp)
![Ticketmaster Scraper](https://images.apifyusercontent.com/tg-SQLtjN57YyMsuIU7Gu22ulD1OhUaNlX0NAKSiF2w/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS95RWhlWEhLeEtxcU1lcmxMQi83Y1NOVEduZ1B4YWJoZDYyZi10aWNrZXRtYXN0ZXJfbG9nby5wbmc.webp)
Ticketmaster Scraper
lhotanova/ticketmaster-scraper
Try for free
No credit card required
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.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "maxItems": 200,
9 "countryCode": "US",
10 "geoHash": "dr5regw3pg6ft",
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("lhotanova/ticketmaster-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 22 monthly users
- 11 stars
- 97.9% runs succeeded
- Created in Sep 2021
- Modified 8 months ago
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