Facebook Events Scraper
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Facebook Events Scraper
7 days trial then $35.00/month - No credit card required now
Facebook Events Scraper extracts data such as event name, location, description or number of users who are interested. You can use URLs of specific events or come up with search queries and explore pretty much unlimited number of events. Search queries can be combined with various search filters.
Do you want to learn more about this Actor?
Get a demoYou 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 = {
9 "searchQueries": ["Sport New York"],
10 "startUrls": [],
11 "maxEvents": 30,
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("apify/facebook-events-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-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-clientOther API clients include:
Apify- 89 monthly users
- 23 stars
- 97.2% runs succeeded
- 2 days response time
- Created in Mar 2023
- Modified 18 days ago
