📘 Facebook Posts Scraper

🚀 Pull Facebook posts from any public page in minutes. Text, reactions, comments, shares, media, video flag, engagement metrics. No login.

🕒 Last updated: 2026-05-09 · 📊 25+ fields per post · 📅 Date range filters · 🚫 No auth required

Pull live posts from Facebook public pages and profiles. The actor accepts a list of page URLs (or slugs), walks each page's feed, and returns one structured record per post ready for social listening, brand monitoring, content research, or competitive intelligence.

Every run fetches data live so you get the current state of Facebook at run time. Records include the post URL, post text, author name, post date, reaction counts (like, love, wow, haha, sad, angry), comment count, share count, media URLs (images and videos), video flag, and a back-reference URL.

👥 Built for	🎯 Primary use cases
Brand and social listening	Monitor brand mentions across pages
Content marketers	Track competitor posting cadence and engagement
PR and crisis monitoring	Watch for reputation events in real time
Researchers	Study public discourse and content velocity
Marketing and growth	Identify high-performing post formats
App developers	Power archival and analytics products

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📋 What the Facebook Posts Scraper does

• 📘 Two input formats. Page URLs or page slugs (e.g. cern, nasa, bbcearth).
• 📅 Date range filter. minPostDate and maxPostDate for time-bounded scrapes.
• ❤️ Reaction breakdown. Count of like, love, wow, haha, sad, angry reactions.
• 📊 Engagement metrics. Comment count, share count.
• 🎥 Media detection. Image URLs, video URLs, video flag.
• 🆔 Per-post back-reference. Canonical post URL.

The scraper walks each page's feed, extracts post metadata, and pushes structured records to the dataset.

💡 Why it matters: Facebook public pages remain a primary source of brand and creator content but the platform's UI lacks bulk export. A live, structured pull beats manual scraping for social listening, brand monitoring, and competitive content research.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Slack via Apify integrations.

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⚙️ Input

Field	Type	Name	Description
startUrls	array	Start URLs	Facebook page or profile URLs (e.g. https://www.facebook.com/cern/).
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
pageSlugs	array	Page Slugs	Alternative to URLs - just the slug (e.g. cern, nasa). Can be combined with URLs.
minPostDate	string	Min Post Date	Optional. Only include posts on or after this date.
maxPostDate	string	Max Post Date	Optional. Only include posts on or before this date.

Example 1. CERN posts from last 30 days.

{
  "startUrls": [{"url": "https://www.facebook.com/cern/"}],
  "minPostDate": "2026-04-09",
  "maxItems": 50
}

Example 2. Multiple pages via slugs.

{
  "pageSlugs": ["cern", "nasa", "bbcearth"],
  "maxItems": 100
}

⚠️ Good to Know: the actor only processes public pages and profiles. Private pages and groups behind login are not accessible.

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📊 Output

The dataset returns one structured record per Facebook post. Each record carries identifiers, post text, author, date, reaction breakdown, engagement metrics, media URLs, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🆔 postId	string	123456789012345_67890
🔗 postUrl	string (url)	https://www.facebook.com/cern/posts/...
📝 text	string	Today CERN announced a new collaboration...
👤 authorName	string	CERN
🔗 pageUrl	string (url)	https://www.facebook.com/cern/
📅 postedAt	ISO datetime	2026-04-12T14:30:00.000Z
👍 likeCount	number	12450
❤️ loveCount	number	4500
😮 wowCount	number	1820
😆 hahaCount	number	350
😢 sadCount	number	12
😡 angryCount	number	5
💬 commentCount	number	850
🔁 shareCount	number	420
🎥 hasVideo	boolean	false
🖼️ imageUrls	array	["https://scontent.../1.jpg"]
🎥 videoUrl	string or null	null
📅 scrapedAt	ISO datetime	2026-05-09T12:00:00.000Z

📦 Sample records

1. Typical record (text + image post)

{
  "postId": "123456789012345_67890",
  "postUrl": "https://www.facebook.com/cern/posts/abc123",
  "text": "Today CERN announced a new collaboration with universities in Latin America to expand particle physics research...",
  "authorName": "CERN",
  "pageUrl": "https://www.facebook.com/cern/",
  "postedAt": "2026-04-12T14:30:00.000Z",
  "likeCount": 12450,
  "loveCount": 4500,
  "wowCount": 1820,
  "hahaCount": 350,
  "sadCount": 12,
  "angryCount": 5,
  "commentCount": 850,
  "shareCount": 420,
  "hasVideo": false,
  "imageUrls": ["https://scontent.fcdn.net/abc/1.jpg"],
  "videoUrl": null,
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

2. Video post

{
  "postId": "234567890123456_78901",
  "postUrl": "https://www.facebook.com/nasa/videos/def456",
  "text": "Watch the launch of our newest mission live.",
  "authorName": "NASA",
  "pageUrl": "https://www.facebook.com/nasa/",
  "postedAt": "2026-05-01T16:00:00.000Z",
  "likeCount": 85000,
  "loveCount": 22000,
  "commentCount": 3200,
  "shareCount": 5800,
  "hasVideo": true,
  "imageUrls": ["https://scontent.fcdn.net/def/thumb.jpg"],
  "videoUrl": "https://video.fcdn.net/def/video.mp4",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

3. Sparse record (low-engagement post)

{
  "postId": "345678901234567_89012",
  "postUrl": "https://www.facebook.com/smallpage/posts/ghi789",
  "text": "Quick update for our community.",
  "authorName": "Small Page",
  "pageUrl": "https://www.facebook.com/smallpage/",
  "postedAt": "2026-05-08T10:00:00.000Z",
  "likeCount": 12,
  "commentCount": 0,
  "shareCount": 0,
  "hasVideo": false,
  "imageUrls": [],
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to Facebook posts so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects Facebook as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured social data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Facebook Posts Scraper (this Actor)	$5 free credit, then pay-per-use	Public pages + profiles	Live per run	Page URL/slug, date range	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid social-listening tools	$$$ monthly per seat	Vendor-defined	Periodic	Vendor-defined	⏳ Hours
Manual sourcing	Hours per check	Limited	Stale	Manual	🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Facebook Posts Scraper page on the Apify Store.
3. 🎯 Set inputs. Add page URLs or slugs and optional date filters.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Brand and social listening Monitor brand mentions across pages Track competitor posting cadence Build crisis-response dashboards Map share-of-voice in your industry	🏢 Content and marketing Track top-performing post formats Build content libraries from competitor wins Identify high-engagement content trends Track campaign hashtag performance
🎯 Market research Study public discourse around topics Surface UGC for repurposing Build sentiment-tracking dashboards Track political and civic conversation	🛠️ Engineering and product Power archival and analytics products Replace fragile in-house Facebook scrapers Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating Facebook Posts Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to capture daily snapshots of target pages. Combine with the Apify dataset diff tools to track new posts and engagement velocity between runs.

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💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test Facebook Posts Scraper and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running Facebook Posts Scraper regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running Facebook Posts Scraper at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using Facebook Posts Scraper

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run Facebook Posts Scraper on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use Facebook Posts Scraper?

Yes. Facebook Posts Scraper only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Integrate with any app

Facebook Posts Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes.

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🔗 Recommended Actors

• 📘 Facebook Reviews Scraper - Page reviews and ratings
• 🐦 X (Twitter) Scraper - Tweets with engagement
• 📸 Instagram Posts Scraper - Instagram posts with metadata
• 📱 Reddit Posts Scraper - Subreddit posts with comments
• 💼 LinkedIn Posts Scraper - LinkedIn posts from profiles

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Meta or Facebook. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and brand-listening use. Users are responsible for compliance with Facebook's Terms of Service and applicable law.