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Facebook Business Page API
Structured access to Facebook Business Page data.- Contact details including phone, address, and website
- Follower counts, verification status, and ratings
- Review counts, and price range data
curl --get https://www.searchapi.io/api/v1/search \
-d engine="facebook_business_page" \
-d page_id="100089525329756"
Business Page Data
Structured JSON responses
Extract page details, follower metrics, ratings, and contact information from any Facebook Business Page.
{
"search_metadata": {
"id": "search_wr07vRBGpw4dcK7Dgb6ZlXJj",
"status": "Success",
"created_at": "2025-10-27T20:53:59Z",
"request_time_taken": 1.42,
"parsing_time_taken": 0.01,
"total_time_taken": 1.43,
"request_url": "https://www.facebook.com/profile.php?id=100089525329756&sk=about",
"html_url": "https://www.searchapi.io/api/v1/searches/search_wr07vRBGpw4dcK7Dgb6ZlXJj.html",
"json_url": "https://www.searchapi.io/api/v1/searches/search_wr07vRBGpw4dcK7Dgb6ZlXJj"
},
"search_parameters": {
"engine": "facebook_business_page",
"page_id": "100089525329756"
},
"page": {
"id": "100089525329756",
"name": "Starbucks (4227 Genesee Avenue, San Diego)",
"link": "https://www.facebook.com/people/Starbucks/100089525329756/",
"followers": {
"text": "1.3K followers",
"link": "https://www.facebook.com/profile.php?id=100089525329756&sk=followers",
"count": 1300
},
"following": {
"text": "0 following",
"link": "https://www.facebook.com/profile.php?id=100089525329756&sk=following",
"count": 0
},
"profile_photo_original": "https://scontent-lga3-3.xx.fbcdn.net/v/t39.30808-1/385031219_710082821151289_1722215284678546098_n.png?stp=dst-png_s200x200&_nc_cat=110&ccb=1-7&_nc_sid=2d3e12&_nc_ohc=xTTQspEHkPYQ7kNvwHkJUii&_nc_oc=Adk_k9C5YMpjl65f6ziP1VSDbdxGN4B3y-Dnyg9fd8cTzaybZ6Lbp_DxEs7QgKo_efE&_nc_zt=24&_nc_ht=scontent-lga3-3.xx&_nc_gid=qWjha9JbX7Uq7JwpbN2sdQ&oh=00_AfdhIPt-Pa3L3oImbyznZ5AMFp29EUsoTTM3QrzENY5Xxw&oe=6905C1CC",
"profile_photo_link": "https://www.facebook.com/photo/?fbid=277383798589129&set=a.277383791922463",
"cover_photo_original": "https://scontent-lga3-2.xx.fbcdn.net/v/t39.30808-6/485748946_1085137506979150_5324239471083844577_n.jpg?stp=dst-jpg_s960x960_tt6&_nc_cat=105&ccb=1-7&_nc_sid=cc71e4&_nc_ohc=zyzoHHZhT-QQ7kNvwF_3_Zs&_nc_oc=Adks24hVGq49OAyIpqRkjVUK5dVCscFHOc_Y8wn4AKhwt5Z-Hbj4iVIxucebJpzdfNM&_nc_zt=23&_nc_ht=scontent-lga3-2.xx&_nc_gid=qWjha9JbX7Uq7JwpbN2sdQ&oh=00_AfedG4ji_vPLx-Sd2KShZzU-s-XubFi_WCtioU8109rCuA&oe=6905BE35",
"cover_photo_link": "https://www.facebook.com/photo/?fbid=1060911799401721&set=a.710082777817960"
},
"about": {
"category": "Coffee shop · Bar · Café",
"category_formatted": [
"Coffee shop",
"Bar",
"Café"
],
"address": "4227 Genesee Avenue, San Diego, CA, United States, 92117",
"gps_coordinates": {
"latitude": 32.820038921551,
"longitude": -117.18164563179
},
"phone": "(858) 278-3467",
"website": "https://www.starbucks.com/store-locator/store/8834/",
"ratings": "100% recommend (2,185 reviews)",
"rating": 100,
"reviews_count": 2185,
"price_range": "££"
}
}
Developer experience
Easy integration
Integrating is as simple as making a GET HTTP request.
https://www.searchapi.io/api/v1/search?engine=facebook_business_page&page_id=100089525329756
- Python
- Node
- Ruby
- Java
- Go
- PHP
- Bash
- R
- Kotlin
- Swift
- C#
- C
- C++
- requests
import requests
url = "https://www.searchapi.io/api/v1/search"
params = {
"engine": "facebook_business_page",
"page_id": "100089525329756"
}
response = requests.get(url, params=params)
print(response.text)
Data Points
What you get
Real-time Facebook Business Page data with page metrics and business details.
-
Page Information
- Page ID, name, username, and alternate names
-
Social Metrics
- Follower count, following count with direct links
-
Verification Status
- Blue checkmark and verified badge information
-
Ratings & Reviews
- Overall rating percentage and total review count
-
Contact Details
- Phone number, website, and full address
-
Business Category
- Primary and secondary business categories
-
Price Range
- Business price tier indicator
-
Photos
- Profile and cover photos in original resolution
Legal Coverage
Legal Protection Guarantee
We accept legal responsibility for how SearchApi collects and parses publicly available search results, backed by up to $2M in coverage. This protection applies to customers worldwide, operates under U.S. law, and does not cover your use of the data or unlawful activities.
Simple Pricing
Pricing plans
- Pay per success
- Built in location geo-targetting
- Only premium proxies
- 10,000 Searches
- 99.9% SLA
- 35,000 Searches
- Team Management
- Legal Protection Guarantee
- 99.9% SLA
- 100,000 Searches
- Team Management
- Legal Protection Guarantee
- 99.9% SLA
- Medium Throughput
- 250,000 Searches
- Team Management
- Legal Protection Guarantee
- 99.9% SLA
- High Throughput
- Search Analytics
- 500,000 Searches
- Team Management
- Legal Protection Guarantee
- 99.9% SLA
- Dedicated Throughput
- Priority Support
- Search Analytics
- 1,000,000 Searches
- Team Management
- Legal Protection Guarantee
- 99.9% SLA
- Dedicated Throughput
- Priority Support
- Search Analytics
- 2,000,000 Searches
- Team Management
- Legal Protection Guarantee
- 99.9% SLA
- Dedicated Throughput
- Priority Support
- Search Analytics
- 5,000,000 Searches
- Team Management
- Legal Protection Guarantee
- 99.9% SLA
- Dedicated Throughput
- Priority Support
- Search Analytics
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Robust Infrastructure
Handle even the most demanding needs
Performance
Sub-2 second average response time
Optimized for low latency, delivering rapid results for AI applications, SEO analysis, and research.
100% Success Rate
Guaranteed query completion
Guaranteed success with built-in auto-retry mechanism and adaptive error handling to ensure complete data collection.
Proxy Management
Scalable proxy rotation
Our built-in proxy rotator and auto-retry mechanisms ensure scalability, handling millions of searches daily across a global network of 100M+ proxies.
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Advanced CAPTCHA bypass
Mimics real human behavior with full browser rendering, JavaScript execution, and CAPTCHA solving for uninterrupted data scraping.
Integrations
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