Business Profile Enricher

Extract structured business data from any website using AI. Get emails, phone numbers, owner/staff names, services, social media links, certifications, and more — all from a business website URL.

Unlike CSS-based scrapers that only grab data from one platform, this enricher reads the actual website content using AI, so it works on any business site regardless of how it's built.

What data do you get?

For each business URL, you get:

Field	Example
Business Name	The Smith Law Firm, LLC
Description	Family law firm serving the St. Louis area since 1998
Emails	neil@smithlawfirm.com
Phones	(314) 725-4400
People	Neil Smith — Attorney
Services	Dissolution of Marriage, Child Custody, Paternity, ...
Social Links	Facebook, Instagram, Twitter, LinkedIn, YouTube, TikTok, Yelp
Year Established	1998
Address	231 S. Bemiston Ave., Suite 800, St. Louis, MO 63105
Service Area	St. Louis, St. Charles
Certifications	Licenses, bar admissions, BBB ratings
Hours	Mon-Fri 9am-5pm
Languages	English, Spanish
Payment Methods	Credit card, financing, insurance accepted

The enricher automatically follows up to four high-value subpages per business (About, Contact, Team, Services) to maximise coverage. Most sites expose an About and a Contact page; dedicated Team pages are less common, so people data is richer on sites that publish one.

How to use it

Option 1: Provide URLs directly

Paste a list of business website URLs. Works with any website.

{
    "mode": "urls",
    "urls": [
        "https://www.smithlawfirm.com",
        "https://www.abrahamwatkins.com",
        "https://www.benfranklinplumbing.com"
    ]
}

Option 2: Enrich a Google Maps Scraper dataset

Already scraped businesses with the Google Maps Scraper? Pass the dataset ID and we'll enrich every business that has a website.

{
    "mode": "dataset",
    "datasetId": "AXu06pVFRUYhGQ9Su"
}

How it works

1. Fetches the homepage of each business website
2. Discovers subpages — looks for About, Contact, Team/Staff and Services pages, and fetches up to four of them
3. AI extraction — sends the combined page content to an AI model that reads the site like a human and extracts structured data
4. Returns clean JSON — every business gets a consistent profile with all available fields

Why use AI extraction instead of CSS scraping?

Traditional scrapers break when a website changes its layout. They also can't handle the massive variety of small business websites — every plumber, lawyer, and dentist has a different site structure.

AI extraction reads the page content and understands what it means, regardless of how the HTML is structured. This means:

• Works on any website — WordPress, Squarespace, Wix, custom builds
• Never breaks — no selectors to maintain
• Extracts meaning — finds "John Smith, Managing Partner" on an About page, not just raw text

Output format

Each dataset row carries flat fields for easy CSV export, plus a nested enrichmentData object holding the complete profile for programmatic use.

Field	Type	Notes
url	string	The URL you submitted
businessName	string	Official name as published on the site
description	string	One to three sentences in the business's own words
emails	string	Comma-separated, ready for a spreadsheet
phones	string	Comma-separated, original formatting preserved
facebook, instagram, twitter, linkedin, youtube, tiktok, yelp	string	One column per network, empty when absent
people	array	Staff found on the site — see below
peopleCount	number	How many people were found
services	string	Comma-separated list of services or practice areas
servicesCount	number	How many services were found
yearEstablished	number	Founding year when stated
certifications	string	Licences, bar numbers, board certifications, accreditations
serviceArea	string	Cities, counties or regions served
hoursOfOperation	string	Opening hours as published
address	string	Full street address
languages	string	Languages the business operates in
paymentMethods	string	Payment methods and insurance accepted
fieldsFound	number	Populated field count — drives billing, see Pricing
confidence	string	high, medium or low
pagesAnalyzed	number	How many pages were read for this business
processingTimeMs	number	Time spent on this business
enrichmentData	object	The full nested profile

People and attributed emails

Every entry in people carries a name, their role where the site states one, and linked_email — that person's published address:

"people": [
    { "name": "Jane Smith", "title": "Managing Partner", "linked_email": "jsmith@smithlaw.com" },
    { "name": "Tom Reed",  "title": "Associate",       "linked_email": null }
]

linked_email is set only where the site prints an address inside that person's own entry — their bio, staff card, or row in a directory. We never build an address from someone's name and the company domain, and anything that doesn't also appear in the business's email list is discarded.

Expect null far more often than not. Most small businesses simply don't publish per-person addresses; of the profiles we return that contain people, roughly 40% have any attributable address at all. Where a site lists one shared address against several staff, each of them carries that same value — that is what the page says.

Integrations

Works with Apify's full integration ecosystem: Zapier, Make, Google Sheets, webhooks, REST API, and more.

Pricing

$15 per 1,000 results ($0.015 per business).

You only pay for URLs where we extract meaningful data. A "result" is a dataset row with at least 3 populated fields (e.g. business name + emails + services, or business name + description + phones). Thin extractions — where the AI could only confirm a business name and nothing else — are skipped from the dataset and not charged. You'll see them logged in the run output as ○ <url> — only N field(s) found, not enough to charge.

URLs that fail outright (DNS error, 404, timeout, etc.) are also not charged.

Just need contact info (emails, phones, social)? The lighter-weight Contact Finder runs the same extraction with a contacts-only schema at $10/1K.

About the developer

This actor is built and maintained by Menus API — structured data extraction APIs for developers. Also see our Restaurant Menu Scraper and the lighter-weight Contact Finder if you only need contact info.

Need high-volume direct API access instead of Apify? Email support@menusapi.com.