Facebook Search Posts Scraper
Under maintenance
Pricing
$15.00/month + usage
Facebook Search Posts Scraper
Under maintenance
Extract and analyze public Facebook posts with detailed engagement metrics, author insights, and rich media data. Perfect for market research, brand monitoring, and competitive analysis. Get structured JSON output with post content, reactions, comments, shares, and hashtags—all in one place
0.0 (0)
Pricing
$15.00/month + usage
0
Total users
2
Monthly users
2
Runs succeeded
82%
Last modified
2 days ago
You can access the Facebook Search 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": ["https://www.facebook.com/search/posts/?q=medical"],10 "cookies": [],11 "proxy": { "useApifyProxy": True },12}13
14# Run the Actor and wait for it to finish15run = client.actor("memo23/apify-facebook-post-search-scraper").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-startFacebook Search Posts Scraper API in Python
The Apify API client for Python is the official library that allows you to use Facebook Search Posts Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
