Facebook Posts/Comments Scraper
Pricing
$25.00/month + usage
Facebook Posts/Comments Scraper
Facebook Post Scraper with Comments extracts Facebook post details, including text, author info, likes, shares, and media. It also scrapes comments with user details, engagement metrics, and timestamps. Ideal for social media monitoring, sentiment analysis, and audience insights.
0.0 (0)
Pricing
$25.00/month + usage
1
Total users
27
Monthly users
21
Runs succeeded
>99%
Last modified
a month ago
You can access the Facebook Posts/Comments Scraper 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 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 "post_urls": [{ "url": "https://www.facebook.com/thewitcherfanclub/posts/pfbid02reBdcEgYdgLLP92A7ZJ6KLPcNq3LHha9TjYi2k2ytbeS2q2rxkhCqAWy2m6j3TkRl" }],
10 "comments_limit": 0,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("alien_force/facebook-posts-comments-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-startFacebook Posts/Comments Scraper API in Python
The Apify API client for Python is the official library that allows you to use Facebook Posts/Comments Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
