Facebook Business Page Scraper

Extract rich and comprehensive business information from Facebook pages and profiles without requiring logins. Extract page names, categories, verified badges, follower counts, likes, visitor check-ins, descriptions, contact details (phone, email, website, physical address), operating hours, review ratings, profile pictures, and cover photos in real-time.

Features

• 🏢 Comprehensive Business Intelligence — Scrapes business categories, verification badges, contact information, operating hours, ratings, and bios.
• 👥 Audience & Engagement Metrics — Extracts total followers, page likes, talking about counts, and visitor check-in counts.
• 🌐 Contact & Location Details — Collects official external websites, phone numbers, contact emails, and physical street addresses.
• ⚡ Dynamic Input Handling — Supports full Facebook URLs, shortened links, mobile URLs, or simple usernames/slugs (e.g. google, facebook.com/Microsoft, https://www.facebook.com/Starbucks).
• 🛡️ Anti-Bot & Popup Handling — Automatically handles cookie consent dialogs, login prompts, and localized content formatting.
• 📊 Structured Dataset Output — Validated against Apify Dataset and Output schemas with table overview views.

Use Cases

• Lead Generation & B2B Outreach — Extract verified business emails, phone numbers, and websites for sales prospecting.
• Competitor Benchmarking — Monitor competitors' audience growth, likes, and engagement metrics over time.
• Local Business Directory Enrichment — Aggregate location data, operating hours, and customer ratings for local businesses.
• Brand & Social Monitoring — Track verified page statuses, bio descriptions, and social media footprints.

---

Input Parameters

Field	Type	Default	Description
pageUrls	Array of Strings	["https://www.facebook.com/google"]	List of Facebook business page URLs, page slugs, or usernames to scrape.
maxItems	Integer	10	Maximum number of Facebook pages to scrape per run.
proxyConfiguration	Object	{ "useApifyProxy": true }	Proxy configuration. Apify Residential proxies are recommended for high-volume scraping.

Sample Input

{
    "pageUrls": [
        "https://www.facebook.com/google",
        "https://www.facebook.com/Microsoft",
        "https://www.facebook.com/Starbucks"
    ],
    "maxItems": 10,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
}

---

Output Data Structure

Each item pushed to the dataset contains the following fields:

Field	Type	Description
pageId	String	Unique numeric Facebook page ID (e.g., "104958162837").
pageName	String	Official name of the Facebook business page or brand.
category	String	Primary business or content category (e.g., "Food & beverage company").
likes	String	Formatted number of page likes (e.g., "34,146,131").
followers	String	Formatted follower count (e.g., "34M followers").
talkingAbout	String	Number of users talking about the page (e.g., "69,249").
wereHere	String	Number of visitor check-ins (e.g., "1,865,457").
isVerified	Boolean	true if the page has a verified blue badge, false otherwise.
address	String	Physical address or location of the business.
phone	String	Public contact phone number.
email	String	Business contact email address.
website	String	Official business website URL.
about	String	Bio, description, or mission statement.
rating	Number	Average review rating score out of 5 (e.g., 4.8).
ratingCount	String	Number of user ratings/reviews submitted.
priceRange	String	Price level indicator (e.g. $, $$, $$$).
hours	String	Business operating hours.
profilePicture	String	URL of the page profile avatar / picture.
coverPhoto	String	URL of the header banner / cover photo.
link	String	Canonical URL of the scraped Facebook page.
error	String	Error description if scraping failed for this URL.

Sample Output

{
  "pageId": "22092443056",
  "pageName": "Starbucks",
  "category": "Food & beverage company",
  "likes": "34,146,131",
  "followers": "34M followers",
  "talkingAbout": "69,249",
  "wereHere": "1,865,457",
  "isVerified": true,
  "address": "2401 Utah Ave S, Seattle, WA 98134",
  "phone": "+1 800-782-7282",
  "email": "info@starbucks.com",
  "website": "https://www.starbucks.com/",
  "about": "The Starbucks Coffee Company ☕️",
  "rating": 4.5,
  "ratingCount": "12,450 reviews",
  "priceRange": "$$",
  "hours": "Open now (6:00 AM - 8:00 PM)",
  "profilePicture": "https://scontent.fixm3-1.fna.fbcdn.net/v/t1.30497-1/84702798_579370612644419_4516628711310622720_n.png",
  "coverPhoto": "https://scontent.fixm3-1.fna.fbcdn.net/v/t39.30808-6/734461833_1490993426393554_3403382049394179168_n.png",
  "link": "https://www.facebook.com/Starbucks"
}

---

Tips & Best Practices

• Proxies: When scraping at scale on Apify, enable Residential Proxies ({ "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }) to prevent rate limits and geographical blocks.
• Scheduling: Run on a recurring schedule with Apify Scheduler to keep track of changing follower counts, business hours, and contact details.