Website Contact Scraper - Emails, Phones & Socials

What does Website Contact Scraper do?

Website Contact Scraper is a contact details scraper and email extractor from websites. Give it a list of company domains and it returns one clean lead record per company: email addresses, phone numbers (E.164 format), social media profiles (LinkedIn, Facebook, Instagram, X, YouTube, TikTok, GitHub, Pinterest), company name, postal address and contact page URL.

For every site it loads the homepage and then follows the most promising pages of the same website: contact, about, team, impressum/kontakt, legal and support pages. It decodes Cloudflare-protected emails, reads mailto: and tel: links, schema.org JSON-LD and visible text, and filters out junk such as logo@2x.png, Sentry/Wix tracking addresses, example.com placeholders and noreply mailboxes.

It works as a website email finder API: plain HTTP requests, no browser, typically a few seconds per site, and you only pay for websites where contacts were found.

Why use a website contact scraper?

• 🎯 Lead generation: turn a list of company websites (from Google Maps, directories, trade show lists or your CRM) into emails, phone numbers and social profiles.
• 🧩 Lead enrichment in Clay, HubSpot or Salesforce: call the actor from Clay's HTTP/Apify integration or a Make/Zapier/n8n flow to fill missing email, phone and LinkedIn company page fields.
• 📞 Sales prospecting and cold outreach: get the generic business inbox (info@, hello@, sales@) and main phone line of each local business or agency.
• 🔗 Social profile discovery: find a company's LinkedIn company page, Instagram and Facebook page in one pass.
• 🧹 CRM hygiene: re-check company websites to refresh outdated contact details.

Runs on the Apify platform, so you get an API, scheduling, webhooks and integrations with Make, Zapier, n8n, Google Sheets, Clay and HubSpot.

What data can it extract?

Field	Example
domain	chlandscaping.net
companyName	C&H Landscaping (from schema.org Organization, og:site_name or page title)
emails	["info@chlandscaping.net"] (deduplicated, lowercased, junk removed)
phones	["+13039881873"] (E.164 where the number is valid)
socialLinks	{ "facebook": "https://www.facebook.com/...", "instagram": "https://www.instagram.com/..." }
address	street, city, region, postal code, country (from schema.org PostalAddress)
contactPageUrl	https://chlandscaping.net/contact/
pagesScraped	4
error	null, or the reason the site could not be loaded

How to scrape contact details from websites

1. Click Try for free.
2. Paste company websites into Company websites, one per line. Bare domains (acme.com) and full URLs both work; thousands at once is fine.
3. Optionally change Max pages per site (default 5).
4. Click Start.
5. Download results as CSV, Excel, JSON or HTML, or fetch them through the API.

How much does it cost?

You pay $0.008 per website where at least one email, phone number or social profile was found, which is $8 per 1,000 websites with contacts. Websites where nothing was found, dead domains and timeouts are free. Up to 5 pages per site are included in the price. Apify's free plan includes monthly credit, so you can test on hundreds of sites at no cost. Set a maximum cost per run and the actor stops cleanly when it is reached.

Input

See the Input tab for all options. Example:

{
    "domains": ["chlandscaping.net", "https://www.melbournephysioclinic.com.au", "parksidedentalcare.co.uk"],
    "maxPagesPerSite": 5,
    "maxConcurrency": 20
}

Output

One item per input website:

{
    "input": "chlandscaping.net",
    "domain": "chlandscaping.net",
    "companyName": "C&H Landscaping",
    "emails": ["info@chlandscaping.net"],
    "phones": ["+13039881873"],
    "socialLinks": {
        "facebook": "https://www.facebook.com/profile.php?id=61567629417407",
        "instagram": "https://www.instagram.com/chlandscaping"
    },
    "address": {
        "streetAddress": "5575 W 11th Ave",
        "addressLocality": "Lakewood",
        "addressRegion": "CO",
        "postalCode": "80214",
        "addressCountry": "US",
        "full": "5575 W 11th Ave, Lakewood, CO, 80214, US"
    },
    "contactPageUrl": "https://chlandscaping.net/contact/",
    "pagesScraped": 4,
    "error": null
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Tips

• Pass the homepage domain, not a deep link; the actor finds the contact pages itself.
• 5 pages per site finds nearly everything on small business sites. Raise it for large corporate sites with many office pages.
• Phone numbers written in national format are parsed using the site's country (from the domain, page language or address), so (02) 9374 4000 on an .com.au site becomes +61293744000.
• If many sites block requests, enable Apify Proxy in the input.

FAQ

Which emails does it find?

Emails published on the website: mailto: links, visible text, schema.org data (JSON-LD email fields and microdata) and Cloudflare-obfuscated addresses. It does not guess or generate email patterns and it does not verify mailbox deliverability.

Does it scrape personal social media profiles?

No. Only company pages are returned (for example LinkedIn /company/ pages, not personal /in/ profiles), and share buttons, posts and tracking parameters are removed.

Why is a site missing emails?

Some businesses only publish a contact form, or render their pages entirely with JavaScript. Those sites are returned with empty fields and are not charged.

Can I use it with Clay, HubSpot or AI agents?

Yes. Call it through the Apify API, the JavaScript or Python client, Clay's Apify integration, Make, Zapier, n8n or the Apify MCP server.

Support

Found a site where contacts are missed or wrong? Open an issue in the Issues tab and it will be fixed quickly.

Disclaimer

This actor only extracts business contact information that companies publish on their own public websites. It does not log in, bypass protections or collect data about private individuals. Contact details can still be personal data under the GDPR and similar laws: make sure you have a legitimate reason to process them, honour opt-outs, and follow anti-spam rules (CAN-SPAM, PECR, GDPR) when contacting anyone.

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