Website Contact Scraper

Turn a list of domains into a clean contact database — emails, phones, and social profiles.

Feed this Actor a list of company websites and it returns structured contact details for each: business email addresses, phone numbers, and social-media profile links (LinkedIn, X/Twitter, Facebook, Instagram, YouTube, TikTok, GitHub). Built for sales prospecting, lead generation, and market research.

What it does

• 📧 Emails — from mailto: links, page text, and even Cloudflare-obfuscated addresses.
• 📞 Phone numbers — from tel: links and page content.
• 🔗 Social profiles — canonical links to the company's social accounts.
• 📄 Smart page coverage — scans the homepage plus common /contact, /about, /impressum pages.
• ⚡ HTTP-only & fast — no headless browser, so it's cheap and quick even for large lists.

Input

Field	Type	Description
startUrls	array	Domains or URLs to scrape.
url	string	Convenience field for a single domain.
scanContactPages	boolean	Also scan /contact, /about, etc. Default true.
maxPagesPerSite	integer	Max pages fetched per domain (1–9). Default 4.

Example input

{
    "startUrls": ["apify.com", "https://crawlee.dev"],
    "scanContactPages": true,
    "maxPagesPerSite": 4
}

Output

One record per domain:

{
    "domain": "apify.com",
    "url": "https://apify.com",
    "emails": ["hello@apify.com"],
    "phones": ["+420123456789"],
    "socials": {
        "linkedin": "https://linkedin.com/company/apify",
        "twitter": "https://twitter.com/apify"
    },
    "pagesScanned": 4,
    "hasContact": true
}

Export as JSON, CSV, Excel, or pull via the Apify API into your CRM.

Pricing

Billed per domain where at least one contact detail is found (contact-found event). Domains that yield no contacts are effectively free — you only pay for real leads.

Responsible use

• Identifies itself with a clear User-Agent and only fetches publicly available pages.
• Intended for B2B business-contact discovery. You are responsible for complying with applicable laws (GDPR, CAN-SPAM, etc.) and each site's Terms of Service when using the extracted data.