Pricing

$19.99/month + usage

Facebook Posts Scraper — Engagement Analytics Report

📘 Facebook Posts Scraper — Engagement Analytics Report extracts public posts, reactions, comments, timestamps, media & links from pages/groups at scale. ⚙️ Export JSON/CSV, API-ready. 🔎 Perfect for social listening, competitor analysis & content research—privacy-safe and TOS-compliant. 🚀

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

Scrapium

Actor stats

Bookmarked

Total users

Monthly active users

10 days ago

Last modified

Categories

Automation

Lead generation

Social media

You can access the Facebook Posts Scraper — Engagement Analytics Report 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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    "pageUrls": ["https://www.facebook.com/nytimes"],
10    "proxyConfiguration": { "useApifyProxy": False },
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("scrapium/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 — Engagement Analytics Report API in Python

The Apify API client for Python is the official library that allows you to use Facebook Posts Scraper — Engagement Analytics Report API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Facebook Posts Scraper — Engagement Analytics Report API in JavaScript

Facebook Posts Scraper — Engagement Analytics Report API through CLI

Facebook Posts Scraper — Engagement Analytics Report OpenAPI definition

Facebook Posts Scraper — Engagement Analytics Report API

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