Website Contact Finder: Email Extractor, Phone Number & Social Media Scraper for Websites

Turn a list of websites or domains into contact details. This email extractor and contact details scraper visits each website's homepage, contact, about, team and imprint pages and returns one deduplicated row per website with emails, phone numbers (E.164) and social profiles (LinkedIn, X/Twitter, Facebook, Instagram and more). Use it for lead generation, CRM enrichment and B2B prospect lists.

Website Contact Finder takes a list of websites and returns one clean row per website with the company's emails, phone numbers and social profiles. It checks the homepage plus the pages that actually hold contact details (Contact, About, Team, Impressum/Imprint), throws away junk addresses, checks that each email domain can receive mail, and hands you a spreadsheet you can use straight away.

It's fast and cheap because it reads plain HTML over HTTP with no headless browser: a typical website takes under a second.

What does it find?

Data	Details
Emails	mailto: links, addresses written on the page, obfuscated ones (name [at] company [dot] com, (at), {at}, (punkt), full-width ＠), Cloudflare-protected emails (decoded), and JSON-LD email fields
Phone numbers	tel: links and numbers written on the page, validated with Google's libphonenumber and returned in international E.164 format (+27212017500). Country is guessed from the domain (.de, .co.uk, .co.za...) or set by you
Social profiles	LinkedIn, X/Twitter, Facebook, Instagram, YouTube, TikTok, GitHub, Pinterest, Threads, WhatsApp, Telegram, Discord. Share buttons, intent links and post URLs are ignored; the company's own handle is ranked first
Contact page	The URL of the best contact page found, so you can open it in one click
Proof	emailSources shows the page each email came from; rejectedEmails shows what was thrown away and why

Why use it?

• 🧹 One deduplicated row per website. No merging step, no "one row per page" mess. www./non-www, http/https and repeated inputs are merged automatically.
• 🚫 No junk emails. Filters image names (logo@2x.png), placeholders (you@example.com, name@domain.com, max.mustermann@), tracking hashes (Sentry, Wix), noreply@ and text glued together from neighbouring elements. Emails whose domain can't receive mail are dropped by a DNS (MX) check.
• 📊 CSV and Google Sheets ready. Besides the arrays you get flat columns: primaryEmail, emailsJoined, primaryPhone, phonesJoined, linkedin, twitter, facebook, instagram, youtube, tiktok, github.
• ⚡ Fast and light. HTTP-only, 256 MB memory, many websites in parallel. 5 websites finished in under 3 seconds in our tests.
• 💸 Pay per website, not per page. Failed websites (dead domains, timeouts, blocked) are listed with the reason and never charged.
• 🎯 Smart page picking. Finds contact pages in many languages (Kontakt, Contacto, Impressum, Über uns, Mentions légales...), and tries /contact and /about when the menu is built with JavaScript.
• ✉️ Pairs with Email Checker. Pass this run's dataset ID to Email Checker to validate every address before outreach.

How to use Website Contact Finder

1. Paste your websites into Websites, one per line. Bare domains (acme.com), full URLs or even email addresses (jane@acme.com → acme.com) work.
2. Optional: change Max pages per website (default 5), turn phones or socials off, or keep only emails on the website's own domain.
3. Click Start. Open the Output tab, then export to CSV, Excel, JSON or Google Sheets.

Input example

{
    "domains": ["apify.com", "plausible.io", "truth.coffee", "hetzner.com"],
    "maxPagesPerDomain": 5,
    "includePhones": true,
    "includeSocials": true,
    "verifyEmailDomains": true,
    "onlyOwnDomainEmails": false
}

Output example

One item per website (real output for a small Cape Town coffee roaster, run on 1 Nov 2026):

{
    "domain": "truth.coffee",
    "url": "https://truth.coffee/",
    "status": "ok",
    "error": null,
    "primaryEmail": "info@truth.coffee",
    "emails": ["info@truth.coffee", "needbeans@truthcoffee.com", "marketing@truthcoffee.com"],
    "emailCount": 3,
    "emailsJoined": "info@truth.coffee, needbeans@truthcoffee.com, marketing@truthcoffee.com",
    "primaryPhone": "+27212017500",
    "phones": ["+27212017500", "+27212017000"],
    "phonesJoined": "+27212017500, +27212017000",
    "socials": {
        "facebook": ["https://www.facebook.com/truth.coffee"],
        "instagram": ["https://www.instagram.com/truth.coffee.roasting", "https://www.instagram.com/truthcoffee"]
    },
    "linkedin": null,
    "twitter": null,
    "facebook": "https://www.facebook.com/truth.coffee",
    "instagram": "https://www.instagram.com/truth.coffee.roasting",
    "contactPageUrl": "https://truth.coffee/pages/contact-us",
    "emailSources": {
        "info@truth.coffee": "https://truth.coffee/pages/contact-us",
        "needbeans@truthcoffee.com": "https://truth.coffee/",
        "marketing@truthcoffee.com": "https://truth.coffee/pages/policies-and-terms"
    },
    "rejectedEmails": [],
    "pagesChecked": 5,
    "durationMs": 859
}

More rows from the same test run:

Website	Best email	Phones	LinkedIn / X	Pages	Time
apify.com	support@apify.com (+ hello@)	none listed	linkedin.com/company/apify · x.com/apify	4	0.4 s
plausible.io	hello@plausible.io	none listed	linkedin.com/company/plausible-analytics · x.com/plausiblehq	5	0.2 s
hetzner.com	5 emails incl. info@hetzner.com	6, E.164	linkedin.com/company/hetzner-online · x.com/Hetzner_Online	5	2.6 s
no-such-domain-xyz123abc.com	failed: "Domain does not exist (no DNS records)", not charged			0	0.1 s

A SUMMARY record in the key-value store shows how many websites were processed, failed and had emails.

How much does it cost?

You pay a small fixed price per website processed (see the Pricing tab). Platform usage is minimal because no browser is used and the default memory is 256 MB. Websites that fail (domain doesn't exist, site down, blocked) are free. Set a maximum cost per run and the Actor stops before going over it.

Responsible use and GDPR

This Actor only reads publicly published business contact details from the websites you give it. It doesn't log in, bypass paywalls or CAPTCHAs, or guess addresses that aren't on the page.

Contact details can still be personal data (for example jane.smith@company.com, or a sole trader's phone number). If you are in the EU/UK, or contacting people there, the GDPR, UK GDPR and ePrivacy/PECR rules apply; other places have their own laws (CAN-SPAM, POPIA, CASL...). You are responsible for having a lawful basis (usually legitimate interest for B2B outreach), telling people where you got their data, honouring opt-outs, and not storing data longer than you need. Turn on Only emails on the website's own domain and filter role addresses (info@, sales@) if you want to stay close to company contacts. If in doubt, ask a lawyer. Apify's guide: Is web scraping legal?

Use it from AI agents, Zapier, Make, n8n or the API

• AI agents (MCP): works with the Apify MCP server, so Claude, Cursor, ChatGPT and other MCP clients can run it. Ask: "Find contact emails for these 20 websites."
• No-code: use the Apify app in Zapier, Make or n8n to enrich new leads in your CRM or a Google Sheet.
• API: POST https://api.apify.com/v2/acts/goldish_fireplace~website-contact-finder/run-sync-get-dataset-items with {"domains": ["acme.com"]} and get the rows back in one call.

Limitations

• Only what the website publishes. It does not guess email patterns, look up people in databases or find personal contact details that are not on the site.
• No JavaScript rendering. Details loaded only by JavaScript, shown as images, or hidden behind a contact form are not found.
• A few pages per website. By default it checks up to 5 pages per website (you can raise this), chosen to be the most likely to hold contact details.
• The MX check confirms the domain receives mail, not the mailbox. Use Email Checker for more checks before you send.
• Starts from websites, not from a business name or a search. You give it the websites.

FAQ

How do I find the email address of a company website? Paste the website (or many websites, one per line) into Websites and click Start. Each row has a primaryEmail, all other emails found, and the page each one came from.

Can I upload a list of domains from a spreadsheet? Yes. Paste the column of websites into Websites, one per line. Bare domains, full URLs and even email addresses work.

Does it render JavaScript? No. It reads the HTML the server sends, which is fast and cheap. Most business sites put contact details in plain HTML (and in the footer). Sites that load contact details only with JavaScript, or hide them behind a contact form, return fewer results.

Why are some websites empty? Some sites only offer a contact form, or show contact details as an image. The row is still returned (status ok, no emails) so nothing disappears silently.

Does it follow links to other websites? No. It stays on the website's own domain (subdomains such as support.acme.com count, at lower priority).

Does it respect robots.txt? Optional. It's off by default because some sites disallow all crawlers, which would return empty rows for a handful of public pages. Turn on Respect robots.txt if you need it.

Does it find people's names or verify mailboxes? No. It finds what the website publishes. To check whether addresses can receive mail, run Email Checker on the results.

Feedback

Found a website where it missed something? Open an issue on the Issues tab with the URL and we'll improve the extractor.

Related tools

• ✉️ Email Checker: bulk-validate the emails you found (syntax, MX, disposable, role, typos) before sending.
• 🔗 Broken Link Checker and 🔎 SEO Audit Crawler: audit the same websites for broken links and on-page SEO.