Facebook Events Lite Ppr avatar

Facebook Events Lite Ppr

Try for free

Pay $10.00 for 1,000 events

Go to Store
Facebook Events Lite Ppr

Facebook Events Lite Ppr

danek/facebook-events-lite-ppr
Try for free

Pay $10.00 for 1,000 events

Scrap Facebook events fast and easy. This actor is a lightweight version of the Facebook Events actor. It is designed to be fast and efficient, so it can extract numerous events in a short time. It is also less likely to be blocked by Facebook.

You can access the Facebook Events Lite Ppr 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    "urls": [{ "url": "https://www.facebook.com/events/314299551427577/" }],
10    "proxy": { "useApifyProxy": False },
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("danek/facebook-events-lite-ppr").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

Facebook Events Lite Ppr API in Python

The Apify API client for Python is the official library that allows you to use Facebook Events Lite Ppr 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

  • 1.8 hours response time

  • Created in Mar 2024

  • Modified a month ago