Pricing

$5.00 / 1,000 website with contacts founds

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Website Contact & Email Finder – MX-Verified Emails & Phones

Try for free

Website contact & email finder: paste a list of domains and get emails (MX-verified, generic vs personal), phone numbers, LinkedIn, Facebook, Instagram, X, YouTube, TikTok, GitHub, address and company name in one row per site. No proxy, no API key. Pay only for sites where contacts were found.

Pricing

$5.00 / 1,000 website with contacts founds

Rating

0.0

(0)

Developer

Ani Björkström

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Monthly active users

2 days ago

Last modified

Website Contact & Email Finder – MX-Verified Emails, Phones & Socials

Website Contact & Email Finder turns any list of websites or bare domains into a clean lead list: it crawls each site's homepage plus its contact, about, team, impressum and support pages and returns emails, phone numbers, social media profiles, address and company name — one row per website.

Three things set this email scraper apart from cheap "extract emails from websites" actors:

MX-verified emails. Every email domain gets a DNS MX lookup, so each address carries mxValid: true / false / null. Dead domains are flagged before they bounce in your outreach tool.
Everything in one row. Emails (labelled generic vs personal), phones (raw + E.164), LinkedIn, X/Twitter, Facebook, Instagram, YouTube, TikTok, GitHub, Threads and Pinterest, plus the best contact page, address and company name. No second enrichment step.
You pay only for websites where contacts were found. Unreachable sites, parked domains and pages without any contact data are delivered as explanatory rows — free.

No proxy, no API key, no login, no headless browser. Paste 5 domains or 50,000.

What you get

One row per website. Arrays stay inside the row, so the dataset is flat, agent-friendly and MCP-ready.

Field	Description
`url`	The website exactly as you entered it
`finalUrl`	Where the homepage actually resolved (www / https / redirects followed)
`status`	`ok` (contacts found, charged), `no_contacts_found` (free), `unreachable` (free)
`error`	Plain-English reason when the status is not `ok`
`companyName`	`og:site_name` → schema.org Organization name → page title
`primaryEmail`	The best address for outreach: on-site domain, MX-valid, `info@`/`contact@`/`hello@` first
`emails[]`	`{ email, type: "generic" \| "personal", mxValid, onSiteDomain, foundOn }` — sorted best-first
`emailCount`	Number of distinct emails after filtering
`primaryPhone`	First phone number in E.164 when it can be resolved, otherwise as written
`phones[]`	`{ raw, normalized, e164, foundOn }`
`phoneCount`	Number of distinct phone numbers
`linkedin`, `twitter`, `facebook`, `instagram`, `youtube`, `tiktok`, `github`, `threads`, `pinterest`	One canonical profile URL per network
`socials[]`	Every social profile URL found, canonicalised and de-duplicated
`contactPageUrl`	The contact / kontakt / impressum page that was found
`addressText`	Postal address from schema.org `PostalAddress` JSON-LD or an `<address>` block — `null` when the site does not state one, never guessed
`siteTitle`, `metaDescription`, `language`	Homepage title, meta description and `<html lang>`
`pagesCrawled`	How many pages were fetched for this site
`scrapedAt`	ISO 8601 UTC timestamp

Example row (abridged)

{
  "url": "https://www.netlight.com", "status": "ok", "companyName": "Netlight",
  "primaryEmail": "info@netlight.com", "emailCount": 18,
  "emails": [{ "email": "info@netlight.com", "type": "generic", "mxValid": true, "onSiteDomain": true, "foundOn": "https://www.netlight.com/contact" }],
  "primaryPhone": "+4686169940",
  "phones": [{ "raw": "+46 8 616 99 40", "normalized": "+4686169940", "e164": "+4686169940", "foundOn": "https://www.netlight.com/contact" }],
  "linkedin": "https://www.linkedin.com/company/netlight-consulting/",
  "instagram": "https://www.instagram.com/netlightconsulting/",
  "contactPageUrl": "https://www.netlight.com/contact",
  "addressText": "Herengracht 282, 1016 BX Amsterdam, Netherlands",
  "language": "en", "pagesCrawled": 4, "scrapedAt": "2026-09-22T18:41:07Z"
}

How the website contact finder works

Homepage first. Bare domains get https://; www/non-www and https/http variants are tried, redirects followed, tracking parameters stripped.
Smart page selection. Same-domain links are scored by URL and anchor text — contact, kontakt, about, team, impressum, imprint, support, help, press, careers, legal, privacy, om oss, über uns — and the best maxPagesPerSite − 1 pages are fetched; /contact, /about, /kontakt, /impressum are guessed as a fallback.
Deep email extraction. mailto: links, text regex, JSON-LD Organization data, obfuscations (name [at] domain [dot] com, name (at) domain, name at domain dot com, HTML entities) and Cloudflare data-cfemail protection are all decoded. Image filenames (logo@2x.png), example.com, Sentry/Wix/GoDaddy noise and noreply@ are filtered out.
Phone number scraper. tel: links plus international patterns such as +46 8 123 45 67, (415) 555-0132, 0800 123 456 — returned as written, as digits, and as E.164 when the country can be inferred from a + prefix, the country TLD or the page language.
Social media links extractor. Profile links from headers, footers, social widgets and schema.org sameAs, canonicalised (twitter.com/x → https://x.com/x; share/intent/login links ignored); the profile matching the site's brand wins.
MX verification. Each unique email domain is resolved once (3 s timeout, cached across the run). No MX but a valid A record still counts as deliverable (RFC 5321); NXDOMAIN → false; timeout → null.
Parked-domain protection. Registrar parking pages and hosting placeholders ("website is currently not available", "domain for sale", nginx/Apache default pages) come back as unreachable, so you are never charged for a hosting provider's support address.

Pages are fetched with a desktop Chrome user agent, HTML only (bodies capped at 3 MB), one page at a time per site with a short pause. Websites run in parallel; one dead site never affects another.

Input

{
  "startUrls": [
    "https://www.netlight.com",
    "kvadrat.se",
    "www.zingermans.com",
    "https://russanddaughters.com/"
  ],
  "maxPagesPerSite": 8,
  "verifyEmailDomains": true,
  "includeGenericEmails": true,
  "concurrency": 10,
  "requestTimeoutSecs": 20
}

Option	Default	What it does
`startUrls`	3 demo sites	Websites to scan — full URLs or bare domains, one per line; `[{ "url": "..." }]` objects from other actors also work.
`maxPagesPerSite`	`8`	Homepage + up to this many contact-like pages (1–30). `2–3` is fast; `8` finds nearly everything on a business site.
`verifyEmailDomains`	`true`	DNS MX lookup per email domain → `mxValid`.
`includeGenericEmails`	`true`	Keep `info@`, `contact@`, `sales@`… Turn off for named / personal addresses only.
`concurrency`	`10`	Websites processed in parallel (1–50).
`requestTimeoutSecs`	`20`	Per-page timeout (5–120).
`proxyConfiguration`	off	Optional Apify Proxy — not needed for normal business websites.

Running with no input scans the three demo websites, so you can see the output shape in one click.

Use cases

Sales & SDR teams — bulk domain to email. Export target-account domains from your CRM, run the finder, push primaryEmail, primaryPhone and linkedin back as enrichment. Only MX-valid addresses reach your sequences.
Local business prospecting for agencies. Chain the email finder after the Google Maps Lead Scraper: Maps gives you the business website, this website contact scraper gives you the email, Instagram and Facebook page behind it.
Recruiters and staffing firms. Find careers@, HR and hiring-manager addresses plus LinkedIn company pages for a list of employers.
PR, link-building and outreach. Turn a list of blogs, publishers or partner sites into press@ / editorial contacts with the correct social handles for a personalised pitch.
Market researchers. Company name, language, address and social footprint for a whole industry list, exported to CSV or Excel.
AI agents and RAG pipelines. Flat JSON rows with stable field names make this a drop-in contact-lookup tool for LLM agents via the Apify MCP server.

Pricing

The website contact & email finder is pay-per-result: the website event is charged once per row with status: "ok" (at least one email, phone number or social profile delivered). Rows with status: "no_contacts_found" or "unreachable" (DNS failure, 403/5xx, parked domain, timeout) are free, so you still learn what happened to every input. No start fee, no charge per page crawled — raising maxPagesPerSite never costs more.

Integrations

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nourishing_courier/website-contact-email-finder").call(run_input={
    "startUrls": ["netlight.com", "kvadrat.se", "zingermans.com"],
    "maxPagesPerSite": 8,
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["url"], row["primaryEmail"], row["primaryPhone"], row["linkedin"])

JavaScript (npm i apify-client):

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_APIFY_TOKEN" });
const run = await client.actor("nourishing_courier/website-contact-email-finder").call({
  startUrls: ["netlight.com", "kvadrat.se", "zingermans.com"],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.map((r) => [r.url, r.primaryEmail, r.emails.length]));

curl (run synchronously and get the dataset back):

curl -X POST "https://api.apify.com/v2/acts/nourishing_courier~website-contact-email-finder/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls": ["netlight.com", "kvadrat.se"], "maxPagesPerSite": 5}'

n8n, Make, Zapier. Use the Apify node/module: trigger on a new row in Google Sheets, HubSpot or Airtable, run this actor with the domain, and write primaryEmail, primaryPhone and the social URLs back. Every input produces exactly one row, so lead-enrichment mapping is one-to-one.

MCP / AI agents. Add the actor to the Apify MCP server and your agent gets a find website contacts tool returning flat JSON it can reason over.

Limits, legal & fair use

This actor only reads publicly published business contact information — the same addresses, phone numbers and social links a company puts on its own website for people to use. It sends plain HTTP requests at a gentle pace (pages within one site are fetched sequentially with a pause), does not log in anywhere, does not bypass paywalls or CAPTCHAs, and does not guess or generate email addresses.

Use the results responsibly. Under GDPR, contacting a business at a role or corporate address is generally covered by legitimate interest for B2B outreach, but you remain the data controller: honour opt-outs and unsubscribe requests, keep a lawful basis for personal (named) addresses, respect anti-spam rules such as CAN-SPAM and PECR, and never use this data for unsolicited consumer marketing or spam.

Technical limits worth knowing:

JavaScript-only sites. Contact details rendered purely by client-side JavaScript (some React/Vue single-page apps) are invisible to a plain HTTP email scraper. WordPress, Wix, Squarespace, Shopify and Webflow sites expose contacts in the HTML and work fine.
Anti-bot walls. A small share of sites behind aggressive Cloudflare or Akamai rules return 403 to datacenter traffic. Those come back as unreachable — free. Enabling the proxy option can help for such sites.
Caps. 250 emails and 100 phones per site, 3 MB per page.
Phone detection is pattern-based; on pages full of numeric codes a stray ID can occasionally slip through. tel: links and +-prefixed numbers are always reliable.

FAQ

How do I extract emails from a list of websites in bulk?

Paste the domains into Websites (one per line — bare domains are fine), leave the defaults, and click Start. You get one row per domain with all emails found, MX-verified, plus phones and socials. Thousands of domains in one run are fine; raise Parallel websites to speed it up.

Yes. It reads public web pages directly — no Hunter/Apollo/Clearbit key, no Google account, no proxy.

What does `mxValid` mean and how is it different from email verification services?

mxValid checks the DNS of the email's domain: true means the domain has mail servers (or an A record fallback) and can receive mail, false means it cannot, null means DNS timed out. It is not an SMTP mailbox check, so it cannot tell you whether john@ specifically exists — but it removes every address on a dead or misspelled domain for free.

Can it tell generic emails from personal ones?

Yes. info@, contact@, hello@, sales@, support@, press@, kontakt@ and about a hundred similar role addresses are labelled generic; named addresses like anna.svensson@ are personal. Set Include generic emails to off to keep only personal ones.

Why is a website marked `unreachable`, and does the email finder charge for it?

The homepage could not be fetched as HTML — DNS failure, connection refused, HTTP 403/404/5xx, timeout, a parked domain or a hosting placeholder page. The error field says which. Unreachable and empty websites are never charged.

Does this website contact scraper work with n8n, Make or Zapier?

Yes. Use the Apify integration in any of them, pass the domain as startUrls, and map primaryEmail, primaryPhone, linkedin, facebook, instagram from the single output row back into your sheet or CRM.

Can I combine the email finder with Google Maps results?

Yes — run the Google Maps Lead Scraper for "dentists in Austin" or "restauranger Stockholm", take the website column, and feed it here to get emails, Instagram and Facebook pages for every business.

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