Scrape Facebook Pages — 30+ Fields, No Login Required
Extract 30+ fields from any public Facebook Page without logging in. Returns contact details (phone, email, website, address), engagement metrics (likes, followers, talking about), business info (category, services, hours), latest post, and active ads from the Facebook Ad Library.
Proxy
Datacenter (TLS fingerprinting)
Anti-Bot
TLS fingerprinting
What You Can Scrape
- Contact info — phone number, email address, website URL, physical address
- Engagement metrics — likes, followers, talking about count, were here count
- Business details — category, services, star rating, price range
- Latest post — text content, date, attached image URL
- Active ads from Ad Library — ad count, ad text, links, formats (image/video/carousel)
Primary Use Cases
- Lead generation — collect contact details and business info from Facebook Pages at scale
- Competitive analysis — monitor competitors' engagement, content strategy, and active ad campaigns
- Brand monitoring — track page growth, follower trends, and audience engagement over time
- Market research — analyze business categories, services, and pricing across industries
- Ad intelligence — discover what ads competitors are running, their formats, and messaging
API Example
curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~facebook-pages-scraper/runs?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"pages": ["Meta", "obi.swiss"],
"includeAds": true
}'
Integrations
- n8n / Make / Zapier — trigger runs and process results via webhook
- AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
- Python / Node.js — Apify SDK for programmatic access
- Google Sheets / Airtable — export via Apify integrations
How It Compares
| Feature | NanoScrape | Browser-based scrapers |
| Login required | No | Often yes |
| Docker image | ~12MB | 500MB - 2GB |
| RAM usage | 128MB | 1-4GB |
| Ad Library data | Included | Rarely |
| Cost | 10x cheaper | Baseline |
| Chrome needed | No | Yes |
Output Fields
| Field | Type | Example |
| name | string | Meta |
| pageUrl | string | https://www.facebook.com/Meta |
| profilePicUrl | string | https://scontent... |
| coverPhotoUrl | string | https://scontent... |
| category | string | Internet company |
| subcategories | string[] | ["Technology", "Software"] |
| likes | number | 14200000 |
| followers | number | 14500000 |
| talkingAbout | number | 85000 |
| wereHere | number | 12500 |
| rating | number | 4.2 |
| ratingCount | number | 3400 |
| phone | string | +1 650-543-4800 |
| email | string | [email protected] |
| website | string | https://about.meta.com |
| address | string | 1 Hacker Way, Menlo Park, CA |
| city | string | Menlo Park |
| zip | string | 94025 |
| country | string | United States |
| hours | object | {"Mon": "9:00-17:00", ...} |
| services | string[] | ["Consulting", "Development"] |
| priceRange | string | $$ |
| description | string | Official Meta page |
| shortDescription | string | Building the future of connection |
| founded | string | 2004 |
| impressum | string | Meta Platforms, Inc. |
| latestPostText | string | Excited to announce... |
| latestPostDate | string | 2026-04-20T10:30:00Z |
| latestPostImageUrl | string | https://scontent... |
| isVerified | boolean | true |
| adCount | number | 24 |
| ads | object[] | [{text, link, format, startDate}] |
| pageId | string | 100064757027104 |
| scrapedAt | string | 2026-04-23T08:00:00Z |