Facebook Events Scraper
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Facebook Events Scraper
2 hours trial then $19.99/month - No credit card required now
Extract Facebook events data including title, date, cover image, ticket info and more. Perfect for event aggregators, market research, and monitoring competitor events. Supports both public and private events with authentication.
You can access the Facebook Events 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 = { "searchUrl": "https://www.facebook.com/events/search?q=ai&filters=eyJvbmxpbmVfZmlsdGVyOjAiOiJ7XCJuYW1lXCI6XCJmaWx0ZXJfZXZlbnRzX29ubGluZVwiLFwiYXJnc1wiOlwiXCJ9In0%3D" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("easyapi/facebook-events-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Facebook Events Scraper API in Python
The Apify API client for Python is the official library that allows you to use Facebook Events Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
- 2 monthly users
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- Created in Oct 2024
- Modified 17 days ago