Facebook Comments Scraper : Webhook Support
Pricing
Pay per event
Facebook Comments Scraper : Webhook Support
Effortlessly extract meaningful conversations from public Facebook posts. Designed for teams that need automated, reliable comment data at scale—just schedule the task, let the actor crawl, and receive results directly via your API. Ideal for sentiment analysis, research, and trend monitoring
5.0 (2)
Pricing
Pay per event
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Last modified
3 days ago
You can access the Facebook Comments Scraper : Webhook Support 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 ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {}9
10# Run the Actor and wait for it to finish11run = client.actor("devninja/facebook-comments-scraper-webhook-support").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-startFacebook Comments Scraper : Webhook Support API in Python
The Apify API client for Python is the official library that allows you to use Facebook Comments Scraper : Webhook Support API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
