Structured Business Data Extractor

📊 Structured Business Data Extractor

Extract 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 clean, machine-readable business data, ready for automation workflows, analytics, and CRM pipelines. No outreach. No logins. Public websites only.

🚀 What This Actor Does

Given one or more public website URLs, the Actor:

Extracts email addresses

Extracts phone numbers

Detects the company or organization name

Captures the source page URL

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.

👥 Who This Actor Is For

CRM & RevOps teams enriching company records

Researchers & analysts building structured datasets

Founders & operators profiling businesses at scale

Developers enriching automation and data pipelines

✅ Key Features

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

🟢 Playwright support for modern, JavaScript-heavy websites

🟢 Public websites only (no login required)

🟢 No social media scraping

🟢 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

Use Playwright – Enable browser rendering (default: false)

Max pages – Maximum number of pages to process per site (default: 1)

Example Input { "start_urls": [ { "url": "https://www.iana.org/contact" } ], "use_playwright": false, "max_pages": 1 }

📤 Output

The Actor writes results to the default dataset with the following structure: { "url": "https://www.iana.org/contact", "company_name": "IANA", "email": "iana@iana.org", "phone": "+1-424-254-2545", "source_page": "https://www.iana.org/contact", "extracted_at": "2025-12-16T11:55:46.267170+00:00" } Output Fields Field Description url Website processed company_name Detected company or page name email Extracted email address (if found) phone Extracted phone number (if found) source_page Page where data was found extracted_at UTC timestamp

🧠 How It Works (Simple)

Loads the website (with optional browser rendering)

Scans visible page content

Extracts emails and phone numbers using robust patterns

Normalizes and structures the data

Saves results to an Apify dataset

⚠️ Limitations & Notes

This Actor does not scrape social media platforms

Works only on publicly accessible websites

No CAPTCHA bypassing

Accuracy depends on how contact data is presented on the website

🛡️ Legal & Ethical Use

You are responsible for complying with:

Website terms of service

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

Ethical data usage practices

Use this Actor only for legitimate business purposes.

⭐ Recommended Use Cases

CRM enrichment

Business research & analysis

Market research

Company profiling

Contact data validation

🔧 Customization

Need additional features such as:

Multi-page crawling

CSV / Excel exports

Custom filtering or validation

You can fork or extend this Actor to fit your workflow.

✅ Status

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

👤 Author

Leoncio Jr Coronado Python Web Scraping & Data Automation Specialist Apify Developer