Facebook Posts Scraper
Pricing
$14.00/month + usage
Facebook Posts Scraper
Collect public posts from any Facebook page or profile using URLs or slugs. Export structured results with post text, reactions breakdown, comments, media URLs, video detection, and engagement metrics to support social listening, content analysis, competitor monitoring, and recurring research.
Pricing
$14.00/month + usage
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ParseForge
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2
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14 hours ago
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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
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 |
📋 What the Facebook Posts Scraper does
- 📘 Two input formats. Page URLs or page slugs (e.g.
cern,nasa,bbcearth). - 📅 Date range filter.
minPostDateandmaxPostDatefor 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
| 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.
📊 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"}
✨ 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.
📈 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.
🚀 How to use
- 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
- 🌐 Open the Actor. Go to the Facebook Posts Scraper page on the Apify Store.
- 🎯 Set inputs. Add page URLs or slugs and optional date filters.
- 🚀 Run it. Click Start and let the Actor collect your data.
- 📥 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
💳 Do I need a paid Apify plan to run this actor?
No. You can start right now on the free Apify plan, which includes $5 in monthly credit. That is enough to run the scraper several times and explore the output. Paid plans unlock higher item caps, more concurrent runs, and larger datasets. Create a free Apify account here.
🚨 What happens if my run fails or returns no results?
Failed runs are not charged. If Facebook changes its DOM, proxies get rate-limited, or your URLs match nothing, re-run the actor or open our contact form and we will look into it.
📏 How many items can I scrape per run?
Free users are limited to 10 items per run so you can preview the output. Paid users can raise maxItems up to 1,000,000 per run.
🔒 Can it scrape private pages or groups?
No. The actor only processes publicly accessible Facebook pages and profiles.
🕒 How fresh is the data?
Every run fetches live data at the moment of execution. There is no cache or delay: records reflect what Facebook returned at run time.
🧑💻 Can I call this actor from my own code?
Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for Node.js and Python. You can start a run, read the dataset, and handle webhooks from your own app in a few lines.
📤 How do I export the data?
Every Apify dataset can be downloaded in one click as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the Apify API or stream into BigQuery, S3, and other destinations through built-in integrations.
📅 Can I schedule the actor to run automatically?
Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.
🏪 Can I use the data commercially?
Yes. The scraped data is yours to use in your own internal pipelines, products, and reports, subject to Facebook's Terms of Service and applicable privacy laws.
💼 Which plan should I pick for production use?
Apify's Starter and Scale plans are designed for production workloads. Pick the plan that matches your dataset size and refresh cadence.
🛠️ The data I need is not in the output. Can you add it?
Most likely yes. Open the contact form and tell us which field you need.
⚖️ Is scraping Facebook legal?
This Actor only collects data from publicly accessible Facebook pages, the same content any visitor can read. Public web scraping is generally legal in most jurisdictions for non-personal data, but laws vary by country and use case. You are responsible for compliance with Facebook's Terms of Service, applicable privacy laws (such as GDPR or CCPA), and any data-protection rules that apply.
🔌 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.