
Facebook Posts Scraper
Pricing
$35.00/month + usage

Facebook Posts Scraper
Extract data from hundreds of Facebook posts from one or multiple Facebook pages and profiles. Get post URL, post text, page or profile URL, timestamp, number of likes, shares, comments, and more. Download the data in JSON, CSV, and Excel and use it in apps, spreadsheets, and reports.
4.5 (33)
Pricing
$35.00/month + usage
332
Total users
21.4k
Monthly users
1.6k
Runs succeeded
>99%
Response time
2 days
Last modified
4 days ago
You can access the Facebook Posts 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 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 "startUrls": [{ "url": "https://www.facebook.com/humansofnewyork/" }],10 "resultsLimit": 20,11}12
13# Run the Actor and wait for it to finish14run = client.actor("apify/facebook-posts-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-start
📝 Facebook Posts Scraper API in Python
The Apify API client for Python is the official library that allows you to use Facebook Posts Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-client
Other API clients include: