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Facebook Posts Scraper

Pricing

$10.00/month + usage

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Facebook Posts Scraper

Facebook Posts Scraper

Just provide the page URL. The page name, post ID, link, text, likes, comments, shares — all data will be collected and stored directly in your Apify dataset. Works with residential proxies for reliable data extraction. Fast and easy — optimized for scraping public page data from Facebook.

Pricing

$10.00/month + usage

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Developer

Data Pilot

Data Pilot

Maintained by Community

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4

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7 days ago

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📘 Facebook Posts Scraper is a powerful Apify Actor designed to discover, track, and extract Facebook Posts from public Facebook Pages. This tool provides comprehensive Facebook Posts intelligence including post text, engagement metrics, timestamps, and direct post URLs. Whether you're monitoring brand activity, tracking competitor content, or building a social media analytics pipeline, the Facebook Posts Scraper delivers actionable Facebook Posts insights efficiently.

With residential proxy integration, structured JSON output, page-handle detection, and reliable Apify Dataset delivery, the Facebook Posts Scraper ensures consistent Facebook Posts discovery and extraction. It focuses on key Facebook Posts signals including post text, likes, comments, and shares, making it an essential tool for Facebook Posts research and social media intelligence.


📋 Table of Contents


🔥 Features

  • Facebook Page Integration – Direct extraction from public Facebook Pages.
  • Flexible URL Input – Accepts Page URLs via facebookUrls, facebookUrl, or url fields.
  • Post Discovery – Discovers relevant Facebook Posts from a given Page.
  • Page Handle Detection – Automatically identifies the Page name/handle from the URL.
  • Engagement Metrics – Captures likes, comments, and shares for each post.
  • Direct Post URLs – Provides direct links to each individual post.
  • Timestamp Tracking – Records the exact scrape time for every post.
  • Residential Proxy Support – Apify residential proxy for reliable, uninterrupted access.
  • Real-Time Dataset Push – Pushes results to Apify Dataset immediately after extraction.
  • Detailed Logging – Comprehensive logging of input parsing and scrape progress.
  • Asyncio-Friendly – Non-blocking async/await architecture.
  • Error Handling – Clear error logging when no valid URL is provided.

⚙️ How It Works

The Facebook Posts Scraper accepts one or more Facebook Page URLs as input. It configures a residential proxy connection, extracts the Page handle from the URL, then retrieves posts from the Page. For each post found, it extracts the post ID, direct URL, text content, and engagement metrics (likes, comments, shares). Results are pushed to the Apify Dataset in batch, and a completion summary is logged with statistics.

Key Processing Steps:

  1. Input Parsing – Accept Facebook Page URL(s)
  2. Proxy Setup – Configure Apify residential proxy
  3. Page Handle Extraction – Identify Page name from URL
  4. Post Discovery – Locate posts on the target Page
  5. Post ID Extraction – Capture unique identifier per post
  6. Text Extraction – Capture post text content
  7. Engagement Extraction – Capture likes, comments, shares
  8. URL Construction – Build direct link to each post
  9. Timestamp Tagging – Record scrape time
  10. Dataset Push – Push extracted posts in batch
  11. Summary Logging – Report statistics

Key Benefits:

  • Monitor Facebook Posts activity on Pages of interest
  • Track competitor content and posting frequency
  • Measure engagement trends over time
  • Build datasets for social listening or NLP projects
  • Automate reporting on Page performance

📥 Input

The Actor accepts the following input parameters:

FieldTypeDefaultDescription
facebookUrlsstringrequiredFacebook Page URL to scrape Facebook Posts from
facebookUrlstringoptionalAlternate field name for the Page URL
urlstringoptionalFallback field name for the Page URL

Example Input:

{
"facebookUrls": "https://www.facebook.com/examplepage"
}

📤 Output

The Actor pushes Facebook Posts records with the following structure:

FieldTypeDescription
facebookUrlstringThe original Facebook Page URL provided as input
postIdstringUnique identifier for the scraped post
pageNamestringThe name/handle of the Facebook Page
urlstringDirect link to the individual post
scrapedAtstringISO 8601 timestamp of when the post was scraped
textstringThe post's text content
likesintegerNumber of likes on the post
commentsintegerNumber of comments on the post
sharesintegerNumber of shares/reposts

Example Facebook Posts Record:

{
"facebookUrl": "https://www.facebook.com/examplepage",
"postId": "1234567890123456",
"pageName": "examplepage",
"url": "https://www.facebook.com/examplepage/posts/1234567890123456",
"scrapedAt": "2026-07-23T12:00:00",
"text": "Sample post content #1 from examplepage",
"likes": 542,
"comments": 63,
"shares": 21
}

🧰 Technical Stack

  • SDK: Apify SDK for Python (apify package)
  • Async: asyncio for non-blocking operations
  • Proxy: Apify Proxy with RESIDENTIAL configuration
  • URL Parsing: Native string parsing for Page handle detection
  • Date Parsing: datetime for standardized ISO 8601 timestamps
  • Logging: Apify Actor logging system
  • Platform: Apify Actor serverless environment

📊 Data Fields Explained

Post Identification

  • postId: Unique identifier for the post
  • url: Direct link to the post
  • pageName: Handle of the Page the post belongs to

Content

  • text: The written content of the post

Engagement

  • likes: Total likes on the post
  • comments: Total comments on the post
  • shares: Total shares/reposts

Metadata

  • facebookUrl: The original input Page URL
  • scrapedAt: When the post was captured

🎯 Use Cases

  • Brand Monitoring – Track Facebook Posts activity on your own Page
  • Competitor Intelligence – Monitor competitor Facebook Posts and posting cadence
  • Social Listening – Collect Facebook Posts for sentiment or trend analysis
  • Engagement Benchmarking – Compare likes, comments, and shares across Pages
  • Content Research – Study what kind of Facebook Posts perform best
  • Agency Reporting – Track multiple client Pages in one workflow
  • Academic Research – Build datasets of public Facebook Posts for study

🚀 Quick Start

1. Prepare Input

Go to Apify Console and enter:

{
"facebookUrls": "https://www.facebook.com/examplepage"
}

2. Run the Actor

Click Start. The Actor will:

  • Parse the Page URL
  • Configure residential proxy
  • Extract the Page handle
  • Collect posts and engagement data
  • Push results to the Dataset

3. Monitor Progress

Console shows:

🚀 Scraping started for: https://www.facebook.com/examplepage
✅ Residential proxy initialized.
✅ Success! Scraped 3 posts.

4. View & Download Results

  • Results Tab: All Facebook Posts records
  • Export: JSON, CSV, Excel, or HTML
  • API Access: Available via the Apify API

⚙️ Configuration

Single Page:

{
"facebookUrls": "https://www.facebook.com/examplepage"
}

Alternate field name:

{
"facebookUrl": "https://www.facebook.com/examplepage"
}

📈 Performance

Processing Speed

  • Fast per-Page processing
  • Lightweight proxy handshake
  • Minimal overhead per post extracted

Resource Usage

  • Memory: Low footprint per run
  • Network: Minimal per Page request
  • Proxy: One residential proxy session per run

💰 Billing

Batch Billing

  • Billing Model: Batch push (not per-post PPE)
  • Typical Cost: Single operation per Page run
  • Efficiency: Lightweight, low-resource processing

⚠️ Important Notes

  • Fair Use: Respects Facebook's public data access and rate limits
  • Public Data Only: Extracts only publicly accessible Page content
  • Verification: Verify results against the live Facebook Page
  • Legal: Not legal advice — consult counsel regarding platform ToS compliance

Data Quality

  • Freshness: Reflects Page content at time of scrape
  • Accuracy: Dependent on Facebook Page structure at run time
  • Verification: Cross-check with the original Page when precision matters

Best Practices

  • Respect Facebook's Terms of Service
  • Scrape only publicly available Pages
  • Monitor for changes in Page structure
  • Re-run periodically for up-to-date engagement metrics
  • Use residential proxies for reliability

📦 Changelog

v1.0.0 (July 2026)

Initial Release:

  • Apify SDK integration
  • Flexible Page URL input handling (facebookUrls, facebookUrl, url)
  • Residential proxy configuration
  • Page handle extraction from URL
  • Post ID, text, and URL extraction
  • Engagement metrics capture (likes, comments, shares)
  • ISO 8601 timestamp tagging
  • Real-time Dataset push
  • Detailed progress logging
  • Asyncio executor support

🧑‍💻 Support & Feedback

  • Issues: Submit via Apify console with the Page URL used
  • Documentation: Check the Actor details page
  • Community: Apify forum discussions
  • Feature Requests: Suggest improvements
  • Bug Reports: Include the input URL and error details

Terms of Use:

  • Use for legitimate social media research
  • Respect Facebook's Terms of Service
  • Don't republish scraped content without permission
  • Use data responsibly

Disclaimer: Facebook Posts Scraper is provided as-is for research purposes. Users are responsible for compliance with Facebook's ToS. This is not legal advice.


🎉 Get Started Today

Deploy now for Facebook Posts research!

Use for:

  • 📊 Engagement Analysis
  • 🔍 Page Monitoring
  • 💡 Content Research
  • 📈 Competitor Tracking
  • 🎯 Social Listening

Perfect for:

  • Social Media Managers
  • Market Researchers
  • Data Analysts
  • Agencies

Last Updated: July 2026 Version: 1.0.0 Status: Production Ready Platform: Apify Actor Architecture: Async/Await Data Source: Facebook Pages


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⚖️ Facebook Posts Excellence

This Actor is optimized for Facebook Posts research with:

  • ✅ Flexible input handling
  • ✅ Residential proxy reliability
  • ✅ Clean structured output
  • ✅ Real-time Dataset push
  • ✅ Error handling
  • ✅ Production-ready code