Facebook Pages Scraper

Overview

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

Input Parameters

Sample Output

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

How to Use

1. 1

   Sign up for free: Create a free ParseFlow account to access professional extraction tools.

2. 2

   Set your parameters: Paste the target URLs into the Facebook Pages Scraper configuration.

3. 3

   Download your data: Click Start, wait a few minutes, and download your dataset as Excel or JSON.

API Example

curl -X POST https://api.apify.com/v2/acts/apify/facebook-pages-scraper/runs \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer YOUR_API_TOKEN' \
  -d '{"startUrls": [{"url": "https://example.com"}]}'

Pricing Structure

Pay-per-event model. The README rate is $10 per 1,000 pages ($0.01 per page), so the $5 Free-plan credit covers about 500 pages; paid plans start at $5.40 per 1,000 pages. A paid plan suits frequent runs.

Limitations

• Data extraction speed depends on the target website's rate limits.
• Extremely massive runs may require a premium proxy pool.

Frequently Asked Questions