📊 Structured Business Data Extractor

Extract clean, structured business data (company name, emails, phone numbers, and metadata) from public websites for research, CRM enrichment, and company profiling.

This Actor converts unstructured website content into machine-readable records designed for automation workflows, analytics, and lead enrichment pipelines.

No outreach. No logins. Public websites only.

🚀 What This Actor Does

Given one or more public website URLs, this Actor:

Crawls homepage and relevant internal pages (contact, about, support)

Extracts validated email addresses and phone numbers

Detects the company or organization name

Tracks pages that were scanned

Outputs clean, structured records to an Apify dataset

To ensure reliability and Store safety, the Actor always produces at least one dataset item, even when no contact data is found.

This guarantees stable automation and auto-test compatibility.

👥 Who This Actor Is For

This Actor is designed for:

CRM & RevOps teams enriching company records

Researchers and analysts building structured datasets

Founders and operators profiling businesses

Developers building lead generation and automation pipelines

✅ Key Features

🟢 Python-based (stable, maintainable, production-ready)

🟢 Smart internal page discovery (contact, about, support pages)

🟢 Strict email and phone validation

🟢 Placeholder and low-quality data filtering

🟢 Honest status reporting when data is unavailable

🟢 Dataset is never empty (auto-test safe)

🟢 Apify Store compliant and automation-ready

📥 Input Required

Start URLs List of public website URLs to scan.

Optional

Max pages – Maximum number of internal pages to scan per site (default: 5)

Example Input { "start_urls": [ { "url": "https://www.iana.org/contact" } ], "max_pages": 5 }

📤 Output

The Actor writes results to the default dataset with the following structure:

Example Output { "company_name": "IANA", "website": "https://www.iana.org", "emails": ["iana@iana.org"], "email_status": "found", "phones": ["+14242542545"], "phone_status": "found", "pages_checked": [ "https://www.iana.org", "https://www.iana.org/contact" ], "industry": null, "linkedin_company": null, "scrape_status": "completed", "scraped_at": "2026-02-22T03:53:38Z" }

Output Fields

Field	Description
company_name	Detected company name
website	Website processed
emails	Extracted email addresses
email_status	found / not_found
phones	Normalized phone numbers
phone_status	found / not_found
pages_checked	Pages scanned during extraction
industry	Reserved for enrichment (optional)
linkedin_company	Reserved for enrichment (optional)
scrape_status	Run status
scraped_at	UTC timestamp

🧠 How It Works

1. Loads the homepage

2. Discovers relevant internal pages

3. Scans visible content

4. Extracts emails and phones using robust patterns

5. Applies validation and filtering

6. Normalizes formats

7. Saves structured output to dataset

The workflow is designed for transparency, data quality, and long-term reliability.

⚠️ Limitations & Notes

Does not scrape social media platforms

Works only on publicly accessible websites

No CAPTCHA bypassing

No login-based scraping

Accuracy depends on website structure

This Actor prioritizes stability over aggressive scraping.

🛡️ Legal & Ethical Use

You are responsible for complying with:

Website terms of service

Local data protection laws (e.g., GDPR, CCPA)

Ethical data usage standards

Use this Actor only for legitimate business purposes.

⭐ Recommended Use Cases

CRM enrichment

Business research

Lead validation

Market research

Company profiling

Data pipeline enrichment

🔧 Customization

This Actor can be extended for:

Deeper multi-page crawling

Clay / API enrichment

CSV / Excel pipelines

Custom validation rules

Monitoring and alerting

You may fork or customize it for advanced workflows.

✅ Status

Production-ready · Store-safe · Auto-test compliant · Reliability-focused

👤 Author

Leoncio U. Coronado Jr Data Automation & Web Scraping Engineer Apify Verified Actor Developer