
Facebook Pages Posts - PPE
Pricing
Pay per event

Facebook Pages Posts - PPE
Scrap Facebook pages posts fast and easy. It is designed to be fast and efficient, so it can extract numerous results for low price. It is also less likely to be blocked by Facebook.
0.0 (0)
Pricing
Pay per event
1
Monthly users
13
Runs succeeded
93%
Last modified
3 months ago
You can access the Facebook Pages Posts - PPE 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 "page_url": "https://www.facebook.com/facebook",
10 "page_id": "100059174186752",
11 "max_posts": 10,
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("danek/facebook-pages-posts-ppe").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 Pages Posts - PPE API in Python
The Apify API client for Python is the official library that allows you to use Facebook Pages Posts - PPE API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
Pricing
Pricing model
Pay per eventThis Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Actor start
$0.005
Flat fee for starting an Actor run
Post scraped
$0.00299
Cost per web page processed for data extraction.