
Facebook Posts Scraper V2
Pricing
$1.00 / 1,000 posts

Facebook Posts Scraper V2
Our Facebook Posts Scraper extracts real-time posts from Facebook, including text content, images, timestamps, engagement metrics, and other key details. Download the data in formats such as JSON, CSV, Excel, XML, or HTML. Use time ranges to define the period for which posts should be fetched.
0.0 (0)
Pricing
$1.00 / 1,000 posts
3
Total users
21
Monthly users
21
Runs succeeded
>99%
Issue response
1 days
Last modified
25 days ago
You can access the Facebook Posts Scraper V2 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 = { "input": [{9 "pageId": "100053495553917",10 "maxPosts": 1,11 "startTime": "1744440142",12 "endTime": "1741761742",13 }] }14
15# Run the Actor and wait for it to finish16run = client.actor("axesso_data/facebook-posts-scraper-v2").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])20for item in client.dataset(run["defaultDatasetId"]).iterate_items():21 print(item)22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Facebook Posts Scraper V2 API in Python
The Apify API client for Python is the official library that allows you to use Facebook Posts Scraper V2 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-client
Other API clients include: