Facebook Pages Scraper
Pricing
$19.99/month + usage
Facebook Pages Scraper
📘 Facebook Pages Scraper extracts public data from Facebook Page profiles — about, category, likes/followers, website, phone, email, hours, location, ratings & recent posts. 🚀 Ideal for market research, lead gen & brand monitoring. ⚡ Fast, reliable, API-ready.
Pricing
$19.99/month + usage
Rating
0.0
(0)
Developer
ScrapeBase
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
6 days ago
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Facebook Pages Scraper
Facebook Pages Scraper is a fast, reliable Facebook page data extractor that pulls structured, publicly available information from Facebook Page profiles — including titles, categories, likes, followers, contact details, images, ratings, and more. It helps marketers, developers, data analysts, and researchers extract data from Facebook pages at scale without an API or login, enabling market research, lead gen, and brand monitoring workflows with clean, export-ready outputs. 🚀
What data / output can you get?
Below are the key JSON fields this Facebook pages scraper tool produces. You can export results from Apify in JSON, CSV, or Excel.
| Data field | Description | Example value |
|---|---|---|
| facebookUrl | Canonical Facebook Page URL | https://www.facebook.com/copperkettleyqr |
| title | Page title (display name) | The Copper Kettle Restaurant |
| pageId | Unique Facebook ID for the page | 100064027242849 |
| pageName | Vanity/username parsed from the URL | copperkettleyqr |
| categories | Page categories | ["Pizza place"] |
| intro | About/intro text | Longstanding local restaurant. Mediterranean specialties... |
| likes | Total page likes (int) | 2661 |
| followers | Follower count (int, normalized from K/M/B) | 2900 |
| website | Primary website domain | thecopperkettle.online |
| websites | All discovered website links (incl. redirects, maps, IG) | ["https://thecopperkettle.online", "https://maps.google.com/..."] |
| Public email if present | copperkettle.events@gmail.com | |
| phone | Public phone if present | +1 306-555-1234 |
| address | Address text if present | 1953 Scarth St, Regina, SK |
| profilePictureUrl | Profile image URL | https://scontent-.../n.jpg |
| coverPhotoUrl | Cover image URL | https://scontent-.../n.jpg |
Bonus fields include: priceRange, services, business_hours, rating, ratingOverall, ratingCount, instagram (array of { username, url }), addressUrl (maps link), profilePhoto (photo page URL), category (first category), business_price, business_services, creation_date, ad_status, about_me, facebookId, pageAdLibrary (is_business_page_active, id), ratings (formatted string), and success/error flags.
Key features
-
🔐 Advanced proxy fallback & resilience
Automatically handles blocking by switching from direct connection to datacenter proxy, then to residential proxy with up to 3 retries — keeping your Facebook page scraper software running reliably. -
🧠 Smart parsing of public page data
Combines HTML parsing and structured script JSON extraction to capture categories, intro text, likes, followers, contact info, ratings, images, creation date, and ad library metadata with high accuracy. -
📦 Batch-ready input (URLs or usernames)
Paste a bulk list of Facebook page URLs or usernames; the actor normalizes tokens into full URLs and processes them as a Facebook business page scraper at scale. -
🧭 Clean normalization & enrichment
Converts compact counts (e.g., “2.3K”) to integers, extracts website domains, resolves Facebook redirect links, maps addresses to links, and builds Instagram handles when available. -
💾 Flexible data export
Download results from the Apify dataset in JSON, CSV, or Excel — perfect for analysts, enrichment pipelines, and “download Facebook page posts” adjacent workflows. -
🔌 Developer- and API-friendly
Run on Apify and access results via API. Integrate with automation tools to build “Facebook page data mining” pipelines without maintaining infrastructure. -
🧰 Production-ready on Apify
Structured logging, dataset outputs, and robust error handling make this a dependable Facebook page scraper tool for recurring jobs and larger lists.
How to use Facebook Pages Scraper — step by step
- Create or log in to your Apify account.
- Open the “Facebook Pages Scraper” actor in the Apify Store.
- Add input pages: paste Facebook Page URLs or usernames into startUrls (one per line).
- Configure proxy settings (optional): set proxyConfiguration.useApifyProxy to true for higher reliability; the actor will use automatic fallback logic if needed.
- Start the run: click Start and watch logs as pages are fetched and parsed.
- Monitor progress: each processed page is pushed to the Dataset with success status.
- Export results: download data as JSON, CSV, or Excel from the Dataset tab or via API.
Pro tip: Schedule runs and consume the Dataset API to keep a fresh feed of page metadata for analytics dashboards, enrichment, or CRM syncs — a great “Facebook pages leads scraper” pattern.
Use cases
| Use case name | Description |
|---|---|
| Market research & competitor profiling | Analyze categories, ratings, followers, and contact points to benchmark competitors and spot trends. |
| Lead generation from Facebook business pages | Extract emails, phones, and websites to build targeted outreach lists from public pages. |
| Brand monitoring & reputation tracking | Capture ratings, review summaries, and audience levels to track brand health over time. |
| Local SEO & listings enrichment | Collect addresses, hours, phones, and websites to enrich local business databases. |
| Data enrichment API pipeline | Feed normalized page data into CRMs or data warehouses via the Apify API. |
| Academic & social research | Study public page categories and audience sizes for topic and community analysis. |
| Analytics & reporting | Export clean fields to BI tools to report on “scrape Facebook page posts” adjacencies such as audience and profile signals. |
Why choose Facebook Pages Scraper?
Positioned for precision and reliability, this Facebook page scraper without API requirements focuses on structured, public data extraction at scale.
- 🎯 Accurate, structured fields from public pages using hybrid parsing
- 🛡️ Built-in proxy fallback (direct → datacenter → residential) to reduce blocking
- 📋 Bulk-friendly input supports large lists of URLs or usernames
- 🔗 Integration-ready: export via Apify API to your data stack
- 🧱 Safer by design: no login, cookies, or private data required
- 💸 Cost-effective automation on Apify’s managed infrastructure
- ⚙️ More reliable than browser extensions and unstable scripts
Bottom line: it’s a production-ready Facebook page scraper tool for teams who need consistent, structured outputs.
Is it legal / ethical to use Facebook Pages Scraper?
Yes — when used responsibly. This actor extracts only publicly available page data and does not require login or access to private content.
Guidelines for compliant use:
- Only collect publicly visible page information.
- Respect platform terms and applicable laws (e.g., GDPR/CCPA).
- Avoid collecting or storing personal/private data.
- Use results for legitimate purposes (research, analytics, enrichment).
- Consult your legal team for edge cases or jurisdiction-specific requirements.
Input parameters & output format
Example JSON input
{"startUrls": ["https://www.facebook.com/copperkettleyqr","ChrisBrecheensWritingAboutWriting"],"proxyConfiguration": {"useApifyProxy": false}}
| Parameter | Type | Required | Description | Default |
|---|---|---|---|---|
| startUrls | array | Yes | List of Facebook page URLs (e.g., https://www.facebook.com/pagename) or usernames (e.g., pagename). Supports bulk input — one per line. | — |
| proxyConfiguration | object | No | Configure proxy settings. If blocked, the actor automatically falls back to datacenter proxy, then residential proxy with 3 retries. | {"useApifyProxy": false} |
Example JSON output
[{"facebookUrl": "https://www.facebook.com/copperkettleyqr","categories": ["Pizza place"],"info": ["The Copper Kettle Restaurant, Regina. 2,661 likes","23 talking about this · 1,120 were here."],"likes": 2661,"messenger": null,"priceRange": "$$","title": "The Copper Kettle Restaurant","address": "1953 Scarth St, Regina, SK","pageId": "100064027242849","pageName": "copperkettleyqr","pageUrl": "https://www.facebook.com/copperkettleyqr","intro": "Longstanding local restaurant. Mediterranean specialties, signature gourmet pizzas...","websites": ["https://thecopperkettle.online","https://maps.google.com/?q=The%20Copper%20Kettle..."],"phone": "+1 306-555-1234","email": "copperkettle.events@gmail.com","alternativeSocialMedia": "https://www.instagram.com/copperkettleyqr","website": "thecopperkettle.online","services": "Dine-in · Takeaway","rating": "94% recommend (202 Reviews)","followers": 2900,"followings": null,"profilePictureUrl": "https://scontent-iad3-1.xx.fbcdn.net/v/t39.30808-1/298528699_436705561807015_4191178501684731329_n.jpg?...","coverPhotoUrl": "https://scontent-iad3-2.xx.fbcdn.net/v/t39.30808-6/474477436_1020105193467046_5394070544420517909_n.jpg?...","profilePhoto": "https://www.facebook.com/photo/?fbid=436705561807015","ratingOverall": 94,"ratingCount": 202,"category": "Pizza place","addressUrl": "https://maps.google.com/?q=The%20Copper%20Kettle...","instagram": [{"username": "copperkettleyqr","url": "https://www.instagram.com/copperkettleyqr"}],"ratings": "94% recommend (202 Reviews)","business_hours": "Open now","business_price": "Price Range · $$","business_services": "Dine-in · Takeaway","creation_date": "August 10, 2012","ad_status": "This Page is currently running ads.","about_me": {"text": "Longstanding local restaurant. Mediterranean specialties, signature gourmet pizzas..."},"facebookId": "100064027242849","pageAdLibrary": {"is_business_page_active": false,"id": "851606664870954"},"success": true}]
Notes:
- Some fields may be null if not publicly available on the page (e.g., email, phone, business_hours).
- On failure, an item with {"facebookUrl": "
FAQ
Do I need a Facebook login or API token to use this?
No. The scraper works on publicly available Facebook Page profiles without login or API access. It is a Facebook page scraper without API that targets public data only.
Can it scrape posts, comments, or reviews?
This actor focuses on page profile data (e.g., likes, followers, contact info, images, ratings text when publicly visible). For deeper engagement data such as posts, comments, or reviews, pair it with specialized tools in your workflow.
How many pages can I process in one run?
You can provide a bulk list of URLs or usernames in startUrls. Actual throughput depends on your Apify plan, run timeout, and whether proxies are enabled for resilience.
What happens if Facebook blocks my requests?
The actor includes automatic proxy fallback. It starts with your chosen setting, then switches from direct to datacenter proxy, and finally to residential proxy with up to 3 retries if needed.
Which data fields are included?
Core fields include facebookUrl, title, pageId, pageName, categories, intro, likes, followers, website, websites, email, phone, address, profilePictureUrl, coverPhotoUrl, and more (e.g., priceRange, services, business_hours, ratings, instagram, creation_date, pageAdLibrary, success/error).
Can I export results to CSV/Excel or integrate via API?
Yes. Results are stored in an Apify Dataset that you can download as JSON, CSV, or Excel. You can also access the dataset programmatically via the Apify API for automation and pipelines.
Does it work for Facebook business pages and public profiles alike?
Yes. It targets public Facebook Page profiles (such as brands, organizations, and local businesses) and extracts what’s publicly available on those pages.
Is it suitable for developers using Python or automation tools?
Yes. While the actor runs on Apify, developers can fetch dataset results via the Apify API and integrate into Python scripts or automation stacks. This makes it a solid alternative to a Facebook page scraper Python script or Facebook page scraper Chrome extension.
Final thoughts
Facebook Pages Scraper is built to extract structured, public Facebook Page data accurately and at scale. With robust proxy fallback, clean normalization, and export-ready outputs, it’s ideal for marketers, developers, analysts, and researchers. Use the Apify API to automate pipelines, run scheduled jobs, and power “Facebook page data mining” or “Facebook pages leads scraper” workflows. Start extracting smarter today — and turn public Facebook page profiles into actionable insights. ✨