Expert Tutorial

How to Use Facebook Pages Scraper to Extract Data (2026 Guide)

A step-by-step guide on how to use Facebook Pages Scraper to extract data and export it to Excel or CSV without coding.

As an Apify affiliate, we may earn a commission from qualifying purchases made through our links, at no extra cost to you. We only recommend tools we believe in.

What is Facebook Pages Scraper?

Extract Facebook Page data including about info, posts, follower counts, and engagement metrics. Ideal for social media research.

The Facebook Pages Scraper collects public page intelligence: about-section details, follower and like counts, post histories with text, timestamps, reaction counts, comment counts, and share counts. Social researchers and agencies use it for competitor benchmarking, content-gap analysis, and tracking what resonates in a niche. Runs execute on Apify's cloud with automatic pagination through post histories, so months of content are captured in one dataset. Export to Excel or JSON to chart posting cadence against engagement, brief content teams with proven formats, and monitor brand presence without manual scrolling.

Key Features

  • Extract page info and about section
  • Get follower and like counts
  • Access recent posts and engagement
  • Download page photos and details
  • Track multiple pages at once

How to Extract Data (Step by Step)

Extracting data using the Facebook Pages Scraper is incredibly straightforward. It runs entirely in the cloud, meaning you don't need to install any desktop software.

  1. Sign up for free: Create a free ParseFlow account to access professional extraction tools.
  2. Set your parameters: Paste the target URLs into the Facebook Pages Scraper configuration.
  3. Download your data: Click Start, wait a few minutes, and download your dataset as Excel or JSON.
Facebook Pages Scraper

Ready to start extracting data?

Join thousands of businesses relying on this tool every week.

Run Facebook Pages Scraper Now

What does the exported data look like?

You can export the results into Excel, CSV, JSON, or HTML. Here is a sample of what the raw JSON data looks like:

[
  {
    "url": "https://example.com/data",
    "title": "Sample Extracted Record",
    "extracted_at": "2026-05-20T14:30:00Z"
  }
]