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📘 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

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parseforge/facebook-posts-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/facebook-posts-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: startUrls (array, default [{"url":"https://www.facebook.com/cern/"}]), maxItems (integer, default 10), pageSlugs (array), minPostDate (string), maxPostDate (string), maxConcurrency (integer, default 1). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~facebook-posts-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

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.

📋 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.

🎬 Full Demo

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

⚙️ Input

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.

📊 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

📦 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"
}

✨ Why choose this Actor

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

📈 How it compares to alternatives

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

🚀 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.

💼 Business use cases

🌟 Beyond business use cases

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

🔌 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.

❓ 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.

🔗 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.

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

⚠️ 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.