Facebook Pages Posts PPR
Pay $2.99 for 1,000 results
Facebook Pages Posts PPR
Pay $2.99 for 1,000 results
Scrap Facebook pages posts fast and easy. It is designed to be fast and efficient, so it can extract a large number of results for low price. It is also less likely to be blocked by Facebook.
You can access the Facebook Pages Posts PPR 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 "page_url": "https://www.facebook.com/facebook",
10 "page_id": "100059174186752",
11 "page_urls": [],
12 "page_ids": [],
13 "max_posts": 10,
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("danek/facebook-pages-posts-ppr").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startFacebook Pages Posts PPR API in Python
The Apify API client for Python is the official library that allows you to use Facebook Pages Posts PPR API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Jan Danecki- 26 monthly users
- 2 stars
- 94.8% runs succeeded
- 3.9 hours response time
- Created in Oct 2024
- Modified 1 day ago
